diff --git a/fhir_pyrate/pirate.py b/fhir_pyrate/pirate.py
index d7b89a6..a9f67c8 100644
--- a/fhir_pyrate/pirate.py
+++ b/fhir_pyrate/pirate.py
@@ -1,6 +1,5 @@
 import datetime
 import hashlib
-import json
 import logging
 import math
 import multiprocessing
@@ -16,6 +15,8 @@
 import pandas as pd
 import requests
 from dateutil.parser import parse
+from requests.adapters import HTTPAdapter, Retry
+from requests_cache import CachedSession
 from tqdm import tqdm
 from tqdm.contrib.logging import logging_redirect_tqdm
 
@@ -26,6 +27,18 @@
 logger = logging.getLogger(__name__)
 
 
+def create_key(request: requests.PreparedRequest, **kwargs: Any) -> str:
+    """
+    Creates a unique key for each request URL.
+
+    :param request: The request to create a key for
+    :param kwargs: Unused, needed for compatibility with the library
+    :return: A string which is a hash of the request
+    """
+    assert isinstance(request.url, str)
+    return hashlib.sha256(request.url.encode()).hexdigest()
+
+
 class Pirate:
     """
     Main class to query resources using the FHIR API.
@@ -38,7 +51,23 @@ class Pirate:
     :param print_request_url: Whether the request URLs should be printed whenever we do a request
     :param time_format: The time format used by the FHIR API
     :param default_count: The default count of results per page used by the server
-    :param bundle_cache_folder: Whether bundles should be stored for later use, and where
+    :param cache_folder: Whether the requests should be stored for later use, and where
+    :param cache_expiry_time: In case the cache is used, when should it expire
+    :param retry_requests: You can specify a requests.adapter.Retry instance to retry the requests
+    that are failing, an example could be
+    retry_requests=Retry(
+        total=3, # Retries for a total of three times
+        backoff_factor=0.5, # A backoff factor to apply between attempts, such that the requests
+        # are not run directly one after the other
+        status_forcelist=[500, 502, 503, 504], # HTTP status codes that we should force a retry on
+        allowed_methods=["GET"] # Set of uppercased HTTP method verbs that we should retry on
+    )
+    Complete set of parameters:
+    https://urllib3.readthedocs.io/en/stable/reference/urllib3.util.html
+    :param disable_multiprocessing_requests: Whether to disable multiprocessing for running the
+    requests with the FHIR server
+    :param disable_multiprocessing_build: Whether to disable multiprocessing when building the
+    DataFrame
     :param silence_fhirpath_warning: Whether the FHIR path warning regarding already existing
     expressions should be silenced
     :param optional_get_params: Optional parameters that will be passed to the session's get calls
@@ -62,7 +91,11 @@ def __init__(
         print_request_url: bool = False,
         time_format: str = "%Y-%m-%dT%H:%M",
         default_count: int = None,
-        bundle_cache_folder: Union[str, Path] = None,
+        cache_folder: Union[str, Path] = None,
+        cache_expiry_time: Union[datetime.datetime, int] = -1,  # -1 = does not expire
+        retry_requests: Retry = None,
+        disable_multiprocessing_requests: bool = False,
+        disable_multiprocessing_build: bool = False,
         silence_fhirpath_warning: bool = False,
         optional_get_params: Dict[Any, Any] = None,
     ):
@@ -90,22 +123,51 @@ def __init__(
         else:
             self._close_session_on_exit = True
             self.session = requests.session()
+        self.disable_multiprocessing_requests = disable_multiprocessing_requests
+        self.disable_multiprocessing_build = disable_multiprocessing_build
+        self.caching = False
+        if cache_folder is not None:
+            # TODO: Change this to work with context managers
+            session = CachedSession(
+                str(Path(cache_folder) / "fhir_pyrate"),
+                # cache_control=False,
+                # Use Cache-Control response headers for expiration, if available
+                expire_after=cache_expiry_time,  # Otherwise expire responses after one day
+                allowable_codes=[
+                    200,
+                    400,
+                ],  # Cache 400 responses as a solemn reminder of your failures
+                allowable_methods=["GET"],  # Cache whatever HTTP methods you want
+                ignored_parameters=["api_key"],
+                # # Don't match this request param, and redact if from the cache
+                match_headers=[
+                    "Accept-Language"
+                ],  # Cache a different response per language
+                stale_if_error=True,  # In case of request errors, use stale cache data if possible
+                key_fn=create_key,
+            )
+            session.auth = self.session.auth
+            self.session = session
+            self.caching = True
+            self.disable_multiprocessing_requests = True
+            logger.warning(
+                "Request caching and multiprocessing cannot be run together."
+            )
+        if self.disable_multiprocessing_requests and self.disable_multiprocessing_build:
+            self.num_processes = 1
+        else:
+            self.num_processes = num_processes
+
+        if retry_requests is not None:
+            self.session.mount(self.base_url, HTTPAdapter(max_retries=retry_requests))
+
         self.optional_get_params = (
             optional_get_params if optional_get_params is not None else {}
         )
-        self.num_processes = num_processes
         self._print_request_url = print_request_url
         self._time_format = time_format
         self._default_count = default_count
-        self.bundle_cache_folder = None
         self.silence_fhirpath_warning = silence_fhirpath_warning
-        if bundle_cache_folder is not None:
-            logger.warning(
-                "Bundle caching is a beta feature. This has not yet been extensively "
-                "tested and does not have any cache invalidation mechanism."
-            )
-            self.bundle_cache_folder = Path(bundle_cache_folder)
-            self.bundle_cache_folder.mkdir(parents=True, exist_ok=True)
 
     ##############################
     #      MAIN FUNCTIONS        #
@@ -140,30 +202,25 @@ def steal_bundles(
         resource_type: str,
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
-        read_from_cache: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
         Executes a request, iterates through the result pages and returns all the bundles as a
-        generator. If bundle caching is activated and `read_from_cache` is true,
-        then the bundles will be read from file instead.
+        generator.
 
         :param resource_type: The resource to be queried, e.g. DiagnosticReport
         :param request_params: The parameters for the query, e.g. _count, _id
         :param num_pages: The number of pages of bundles that should be returned, the default is
         -1 (all bundles), with any other value exactly that value of bundles will be returned,
         assuming that there are that many
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
         :return: A Generator of FHIR bundles containing the queried information
         """
         request_params = {} if request_params is None else request_params.copy()
         with logging_redirect_tqdm():
-            return self._bundle_fn(
+            return self._get_bundles(
                 resource_type=resource_type,
                 request_params=request_params,
                 num_pages=num_pages,
                 silence_tqdm=False,
-                read_from_cache=read_from_cache,
                 tqdm_df_build=False,
             )
 
@@ -172,7 +229,6 @@ def steal_bundles_to_dataframe(
         resource_type: str,
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
-        read_from_cache: bool = False,
         process_function: Callable[[FHIRObj], Any] = flatten_data,
         fhir_paths: List[Union[str, Tuple[str, str]]] = None,
         merge_on: str = None,
@@ -180,8 +236,7 @@ def steal_bundles_to_dataframe(
     ) -> pd.DataFrame:
         """
         Executes a request, iterates through the result pages, and builds a DataFrame with their
-        information. If bundle caching is activated and `read_from_cache` is true,
-        then the bundles will be read from file instead. The DataFrames are either built after each
+        information. The DataFrames are either built after each
         bundle is retrieved, or after we collected all bundles.
 
         :param resource_type: The resource to be queried, e.g. DiagnosticReport
@@ -189,8 +244,6 @@ def steal_bundles_to_dataframe(
         :param num_pages: The number of pages of bundles that should be returned, the default is
         -1 (all bundles), with any other value exactly that value of bundles will be returned,
         assuming that there are that many
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
         :param process_function: The transformation function going through the entries and
         storing the entries to save
         :param fhir_paths: A list of FHIR paths (https://hl7.org/fhirpath/) to be used to build the
@@ -204,17 +257,16 @@ def steal_bundles_to_dataframe(
         been collected, or whether the bundles should be transformed just after retrieving
         :return: A DataFrame containing the queried information
         """
-        return self._query_to_dataframe(self._bundle_fn)(
+        return self._query_to_dataframe(self._get_bundles)(
             resource_type=resource_type,
             request_params=request_params,
             num_pages=num_pages,
             silence_tqdm=False,
-            read_from_cache=read_from_cache,
             process_function=process_function,
             fhir_paths=fhir_paths,
             merge_on=merge_on,
             build_df_after_query=build_df_after_query,
-            disable_post_multiprocessing=True,
+            disable_multiprocessing_build=True,
         )
 
     def sail_through_search_space(
@@ -224,8 +276,6 @@ def sail_through_search_space(
         date_init: Union[str, datetime.date],
         date_end: Union[str, datetime.date],
         request_params: Dict[str, Any] = None,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
         Uses the multiprocessing module to speed up some queries. The time frame is
@@ -239,12 +289,6 @@ def sail_through_search_space(
         :param date_init: The start of the timespan for `time_attribute_name` (inclusive)
         :param date_end: The end of the timespan for `time_attribute_name` (exclusive)
         :param request_params:  The parameters for the query, e.g. `_count`, `_id`, `_sort`
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param disable_multiprocessing: If true, the bundles will be processed sequentially and
-        then returned as a Generator; if false, the bundles for each query will be first converted
-        to a list (because Generators cannot be pickled, and thus cannot be used by multiprocessing),
-        and then they will be yielded as a Generator
         :return: A Generator containing FHIR bundles with the queried information for all timespans
         """
         return self._sail_through_search_space(
@@ -253,8 +297,6 @@ def sail_through_search_space(
             date_init=date_init,
             date_end=date_end,
             request_params=request_params,
-            read_from_cache=read_from_cache,
-            disable_multiprocessing=disable_multiprocessing,
             tqdm_df_build=False,
         )
 
@@ -265,8 +307,6 @@ def sail_through_search_space_to_dataframe(
         date_init: Union[str, datetime.date],
         date_end: Union[str, datetime.date],
         request_params: Dict[str, Any] = None,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
         process_function: Callable[[FHIRObj], Any] = flatten_data,
         fhir_paths: List[Union[str, Tuple[str, str]]] = None,
         merge_on: str = None,
@@ -286,12 +326,6 @@ def sail_through_search_space_to_dataframe(
         :param date_init: The start of the timespan for `time_attribute_name` (inclusive)
         :param date_end: The end of the timespan for `time_attribute_name` (exclusive)
         :param request_params:  The parameters for the query, e.g. `_count`, `_id`, `_sort`
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param disable_multiprocessing: If true, the bundles will be processed sequentially and
-        then returned as a Generator; if false, the bundles for each query will be first converted
-        to a list (because Generators cannot be pickled, and thus cannot be used by multiprocessing),
-        and then they will be yielded as a Generator
         :param process_function: The transformation function going through the entries and
         storing the entries to save
         :param fhir_paths: A list of FHIR paths (https://hl7.org/fhirpath/) to be used to build the
@@ -311,8 +345,6 @@ def sail_through_search_space_to_dataframe(
             time_attribute_name=time_attribute_name,
             date_init=date_init,
             date_end=date_end,
-            read_from_cache=read_from_cache,
-            disable_multiprocessing=disable_multiprocessing,
             process_function=process_function,
             fhir_paths=fhir_paths,
             merge_on=merge_on,
@@ -328,8 +360,6 @@ def trade_rows_for_bundles(
         ],
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
         Go through the rows of a DataFrame (with multiprocessing), run a query and retrieve
@@ -351,12 +381,6 @@ def trade_rows_for_bundles(
         :param num_pages: The number of pages of bundles that should be returned, the default is
         -1 (all bundles), with any other value exactly that value of bundles will be returned,
         assuming that there are that many
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param disable_multiprocessing: If true, the bundles will be processed sequentially and
-        then returned as a Generator; if false, the bundles for each query will be first converted
-        to a list (because Generators cannot be pickled, and thus cannot be used by multiprocessing),
-        and then they will be yielded as a Generator
         :return: A Generator containing FHIR bundles with the queried information for all rows
         """
         return self._trade_rows_for_bundles(
@@ -365,8 +389,6 @@ def trade_rows_for_bundles(
             df_constraints=df_constraints,
             request_params=request_params,
             num_pages=num_pages,
-            read_from_cache=read_from_cache,
-            disable_multiprocessing=disable_multiprocessing,
             tqdm_df_build=False,
         )
 
@@ -382,9 +404,10 @@ def trade_rows_for_dataframe_with_ref(
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
         merge_on: str = None,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
     ) -> pd.DataFrame:
+        """
+        Deprecated, use trade_rows_for_dataframe(..., with_ref=True) instead.
+        """
         warnings.warn(
             "The trade_rows_for_dataframe_with_ref function is deprecated, please use "
             "trade_rows_for_dataframe(..., with_ref=True) instead."
@@ -399,8 +422,6 @@ def trade_rows_for_dataframe_with_ref(
             num_pages=num_pages,
             with_ref=True,
             merge_on=merge_on,
-            read_from_cache=read_from_cache,
-            disable_multiprocessing=disable_multiprocessing,
         )
 
     def trade_rows_for_dataframe(
@@ -417,8 +438,6 @@ def trade_rows_for_dataframe(
         with_ref: bool = False,
         with_columns: List[Union[str, Tuple[str, str]]] = None,
         merge_on: str = None,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
         build_df_after_query: bool = False,
     ) -> pd.DataFrame:
         """
@@ -457,10 +476,6 @@ def trade_rows_for_dataframe(
         :param merge_on: Whether to merge the results on a certain row after computing. This is
         useful when using includes, if you store the IDs on the same column you can use that column
         to merge all the rows into one, an example is given in `bundles_to_dataframe`
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param disable_multiprocessing: Whether the rows should be processed sequentially or in
-        parallel
         :param process_function: The transformation function going through the entries and
         storing the entries to save
         :param fhir_paths: A list of FHIR paths (https://hl7.org/fhirpath/) to be used to build the
@@ -487,18 +502,24 @@ def trade_rows_for_dataframe(
                         df_constraints=df_constraints,
                         request_params=request_params,
                         num_pages=num_pages,
-                        read_from_cache=read_from_cache,
-                        disable_multiprocessing=disable_multiprocessing,
                         tqdm_df_build=not build_df_after_query,
                     ),
                     process_function=process_function,
                     merge_on=merge_on,
                     build_df_after_query=build_df_after_query,
-                    disable_multiprocessing=disable_multiprocessing,
+                    disable_multiprocessing=self.disable_multiprocessing_build,
+                )
+            if self.caching and self.num_processes > 1:
+                logger.info(
+                    "In trade_rows_for_dataframe with multiprocessing, each row is handled by a "
+                    "separate process, which sends the request and builds a Dataframe. "
+                    "Since caching does not support multiprocessing, this function will now run on "
+                    "a single process."
+                )
+            else:
+                logger.info(
+                    f"Querying each row of the DataFrame with {self.num_processes} processes."
                 )
-            logger.info(
-                f"Querying each row of the DataFrame with {self.num_processes} processes."
-            )
             request_params = {} if request_params is None else request_params.copy()
             adjusted_constraints = self._adjust_df_constraints(df_constraints)
             req_params_per_sample = self._get_request_params_for_sample(
@@ -546,16 +567,6 @@ def trade_rows_for_dataframe(
                 }
                 for row in df.itertuples(index=False)
             ]
-            # The parameters used for post-processing (bundles to dataframe)
-            params_for_post = {
-                "process_function": process_function,
-                "build_df_after_query": False,
-                (
-                    "disable_post_multiprocessing"
-                    if disable_multiprocessing
-                    else "disable_multiprocessing"
-                ): True,  # The multiprocessing already happens on the rows
-            }
             # Add all the parameters needed by the steal_bundles function
             params_per_sample = [
                 {
@@ -563,7 +574,6 @@ def trade_rows_for_dataframe(
                     "request_params": req_sample,
                     "num_pages": num_pages,
                     "silence_tqdm": True,
-                    "read_from_cache": read_from_cache,
                 }
                 for req_sample in req_params_per_sample
             ]
@@ -572,7 +582,10 @@ def trade_rows_for_dataframe(
             # TODO: Can the merge_on be run for each smaller DataFrame?
             #  is there the possibility to have resources referring to the same thing in
             #  different bundles?
-            if disable_multiprocessing:
+            if (
+                self.disable_multiprocessing_requests
+                or self.disable_multiprocessing_build
+            ):
                 # If we don't want multiprocessing
                 for param, input_param in tqdm(
                     zip(params_per_sample, input_params_per_sample),
@@ -580,8 +593,11 @@ def trade_rows_for_dataframe(
                     desc=tqdm_text,
                 ):
                     # Get the dataframe
-                    found_df = self._query_to_dataframe(self._bundle_fn)(
-                        **param, **params_for_post
+                    found_df = self._query_to_dataframe(self._get_bundles)(
+                        process_function=process_function,
+                        build_df_after_query=False,
+                        disable_multiprocessing_build=True,
+                        **param,
                     )
                     self._copy_existing_columns(
                         df=found_df,
@@ -602,8 +618,12 @@ def trade_rows_for_dataframe(
                         (
                             pool.apply_async(
                                 self._bundles_to_dataframe,
-                                args=[self._bundle_fn_to_list(**param)],
-                                kwds=params_for_post,
+                                kwds=dict(
+                                    bundles=[b for b in self._get_bundles(**param)],
+                                    process_function=process_function,
+                                    build_df_after_query=False,
+                                    disable_multiprocessing=True,
+                                ),
                             ),
                             input_param,
                         )
@@ -722,6 +742,7 @@ def bundles_to_dataframe(
                 process_function=process_function,
                 merge_on=merge_on,
                 build_df_after_query=True,
+                disable_multiprocessing=self.disable_multiprocessing_build,
             )
 
     @staticmethod
@@ -831,12 +852,12 @@ def _concat_request_params(request_params: Dict[str, Any]) -> str:
                 return found_param
         params = [
             f"{k}={v}"
-            for k, v in request_params.items()
+            for k, v in sorted(request_params.items())
             if not isinstance(v, (list, tuple))
         ]
         params += [
             f"{k}={element}"
-            for k, v in request_params.items()
+            for k, v in sorted(request_params.items())
             if isinstance(v, (list, tuple))
             for element in v
         ]
@@ -1046,14 +1067,12 @@ def _get_bundles(
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
         silence_tqdm: bool = False,
-        read_from_cache: bool = False,
         tqdm_df_build: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
         Executes a request, iterates through the result pages and returns all the bundles as a
         generator.
         Additionally, some checks are performed, and the corresponding warnings are returned:
-        - Whether the `read_from_cache` is in use
         - Whether a sorting has been defined
         - Whether the current bundle is empty
 
@@ -1063,18 +1082,10 @@ def _get_bundles(
         -1 (all bundles), with any other value exactly that value of bundles will be returned,
         assuming that there are that many
         :param silence_tqdm: Whether tqdm should be disabled
-        :param read_from_cache: The parameter is not actually used, it is there to keep
-        consistency with the `_cache_bundles` function.
         :param tqdm_df_build: Whether this function is being used by a wrapper to also build a
         DataFrame, in such case the "Build DF" string will be added to the tdqm text
         :return: A Generator of FHIR bundles containing the queried information
         """
-        if read_from_cache:
-            warnings.warn(
-                "You are trying to read from cache without having specified a bundle caching "
-                "folder, so the caching is not activated and the bundles will not be read"
-                "from cache."
-            )
         if num_pages == 0:
             return 0
         current_params = {} if request_params is None else request_params
@@ -1127,7 +1138,7 @@ def _get_bundles(
                 (link.url for link in bundle.link or [] if link.relation == "next"),
                 None,
             )
-            if next_link_url is None or bundle_iter >= bundle_total:
+            if next_link_url is None or (0 < num_pages <= bundle_iter):
                 break
             else:
                 # Re-assign bundle and start new iteration
@@ -1139,105 +1150,15 @@ def _get_bundles(
         progress_bar.close()
         return bundle_iter
 
-    def _cache_bundles(
-        self,
-        resource_type: str,
-        request_params: Dict[str, Any] = None,
-        num_pages: int = -1,
-        silence_tqdm: bool = False,
-        read_from_cache: bool = False,
-        tqdm_df_build: bool = False,
-    ) -> Generator[FHIRObj, None, int]:
-        """
-        Executes a request, iterates through the result pages and returns all the bundles as a
-        generator. If bundle caching is activated and `read_from_cache` is true,
-        then the bundles will be read from file instead.
-
-        :param resource_type: The resource to be queried, e.g. DiagnosticReport
-        :param request_params: The parameters for the query, e.g. _count, _id
-        :param num_pages: The number of pages of bundles that should be returned, the default is
-        -1 (all bundles), with any other value exactly that value of bundles will be returned,
-        assuming that there are that many
-        :param silence_tqdm: Whether tqdm should be disabled
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param tqdm_df_build: Whether this function is being used by a wrapper to also build a
-        DataFrame, in such case the "Build DF" string will be added to the tdqm text
-        :return: A Generator of FHIR bundles containing the queried information
-        """
-        hashed_request_param = None
-        if self.bundle_cache_folder is not None:
-            hashed_request_param = (
-                self.bundle_cache_folder
-                / hashlib.sha256(
-                    (
-                        self._build_request_url(
-                            resource_type=resource_type,
-                            request_params=request_params or {},
-                        )
-                        + ".json"
-                    ).encode()
-                ).hexdigest()
-            )
-        if (
-            read_from_cache
-            and hashed_request_param is not None
-            and hashed_request_param.exists()
-        ):
-            logger.info(f"Reading data from {hashed_request_param}")
-            with hashed_request_param.open("r") as fp:
-                n_bundles = 0
-                for b in json.load(fp=fp):
-                    yield FHIRObj(**b)
-                    n_bundles += 1
-                return n_bundles
-        else:
-            bundles = [
-                bundle
-                for bundle in self._get_bundles(
-                    resource_type=resource_type,
-                    request_params=request_params,
-                    num_pages=num_pages,
-                    silence_tqdm=silence_tqdm,
-                    tqdm_df_build=tqdm_df_build,
-                )
-            ]
-        if hashed_request_param is not None:
-            logger.info(f"Storing data to {hashed_request_param}")
-            # TODO: Try this with big files
-            # Store the bundles
-            with hashed_request_param.open("w") as fp:
-                fp.write("[" + ",".join(b.to_json() for b in bundles) + "]")
-        for bundle in bundles:
-            yield bundle
-        return len(bundles)
-
-    def _bundle_fn(self, *args: Any, **kwargs: Any) -> Generator[FHIRObj, None, int]:
-        """
-        Wrapper function runs either `_get_bundles` or `_cache_bundle`, depending on whether a
-        caching folder has been defined.
-        """
-        if self.bundle_cache_folder is not None:
-            fn = self._cache_bundles
-        else:
-            fn = self._get_bundles
-        return fn(*args, **kwargs)
-
-    def _bundle_fn_to_list(self, *args: Any, **kwargs: Any) -> List[FHIRObj]:
-        """
-        Wrapper function that converts the result of `_bundle_fn` (either `_get_bundles` or
-        `_cache_bundle`, depending on whether a caching folder has been defined) to a list.
-        """
-        return list(self._bundle_fn(*args, **kwargs))
-
     def _get_bundles_for_timespan(
         self,
         resource_type: str,
         request_params: Dict[str, Any],
         time_attribute_name: str,
         timespan: Tuple[str, str],
-        *args: Any,
-        **kwargs: Any,
+        num_pages: int,
+        silence_tqdm: bool,
+        tqdm_df_build: bool,
     ) -> Generator[FHIRObj, None, int]:
         """
         Wrapper function that sets the `time_attribute_name` date parameters for the
@@ -1247,35 +1168,20 @@ def _get_bundles_for_timespan(
             f"ge{timespan[0]}",
             f"lt{timespan[1]}",
         )
-        return self._bundle_fn(
+        return self._get_bundles(
             resource_type=resource_type,
             request_params=request_params,
-            *args,
-            **kwargs,
+            num_pages=num_pages,
+            silence_tqdm=silence_tqdm,
+            tqdm_df_build=tqdm_df_build,
         )
 
-    def _bundles_for_timespan_to_list(
-        self,
-        resource_type: str,
-        request_params: Dict[str, Any],
-        time_attribute_name: str,
-        timespan: Tuple[str, str],
-        *args: Any,
-        **kwargs: Any,
-    ) -> List[FHIRObj]:
+    @staticmethod
+    def _generator_to_list(f: Callable, *args: Any, **kwargs: Any) -> List[FHIRObj]:
         """
-        Wrapper function that converts the result of `_bundles_for_timespan_to_list` to a list.
+        Wrapper function that converts the result of a function returning a generator to a list.
         """
-        return list(
-            self._get_bundles_for_timespan(
-                resource_type,
-                request_params,
-                time_attribute_name,
-                timespan,
-                *args,
-                **kwargs,
-            )
-        )
+        return list(f(*args, **kwargs))
 
     ##############################
     #      QUERY HANDLING        #
@@ -1284,20 +1190,22 @@ def _bundles_for_timespan_to_list(
     def _run_multiquery(
         self,
         func: Callable,
-        params: List[Any],
+        query_params: List[Any],
         tqdm_text: str,
-        disable_multiprocess: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         n_bundles = 0
-        if disable_multiprocess:
-            for param in tqdm(params, total=len(params), desc=tqdm_text):
+        if self.disable_multiprocessing_requests:
+            for param in tqdm(query_params, total=len(query_params), desc=tqdm_text):
                 for bundle in func(param):
                     yield bundle
                     n_bundles += 1
         else:
             pool = multiprocessing.Pool(processes=self.num_processes)
             for bundles_per_query in tqdm(
-                pool.imap(func, params), total=len(params), desc=tqdm_text
+                # TODO: Can this be done without partial?
+                pool.imap(partial(self._generator_to_list, func), query_params),
+                total=len(query_params),
+                desc=tqdm_text,
             ):
                 for bundle in bundles_per_query:
                     yield bundle
@@ -1313,8 +1221,6 @@ def _sail_through_search_space(
         date_init: Union[str, datetime.date],
         date_end: Union[str, datetime.date],
         request_params: Dict[str, Any] = None,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
         tqdm_df_build: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
@@ -1328,8 +1234,6 @@ def _sail_through_search_space(
         :param date_init: The start of the timespan for time_attribute_name
         :param date_end: The end of the timespan for time_attribute_name
         :param request_params:  The parameters for the query, e.g. _count, _id
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
         :param tqdm_df_build: Whether this function is being used by a wrapper to also build a
         DataFrame, in such case the "Build DF" string will be added to the tdqm text
         :return: A Generator containing FHIR bundles with the queried information for all timespans
@@ -1366,26 +1270,21 @@ def _sail_through_search_space(
             )
             # Divide the current time period into smaller spans
             timespans = self._get_timespan_list(date_init, date_end)
-            func = partial(
-                # If multiprocessing is disabled, I can use the generators,
-                # otherwise I have to use a list
-                self._get_bundles_for_timespan
-                if disable_multiprocessing
-                else self._bundles_for_timespan_to_list,
+            func: Callable = partial(
+                self._get_bundles_for_timespan,
                 resource_type,
                 request_params,
                 time_attribute_name,
                 num_pages=-1,
                 silence_tqdm=True,
-                read_from_cache=read_from_cache,
+                tqdm_df_build=tqdm_df_build,
             )
             return self._run_multiquery(
                 func=func,
-                params=timespans,
+                query_params=timespans,
                 tqdm_text=f"Query Timespans & Build DF ({resource_type})"
                 if tqdm_df_build
                 else f"Query Timespans ({resource_type})",
-                disable_multiprocess=disable_multiprocessing,
             )
 
     def _trade_rows_for_bundles(
@@ -1397,8 +1296,6 @@ def _trade_rows_for_bundles(
         ],
         request_params: Dict[str, Any] = None,
         num_pages: int = -1,
-        read_from_cache: bool = False,
-        disable_multiprocessing: bool = False,
         tqdm_df_build: bool = False,
     ) -> Generator[FHIRObj, None, int]:
         """
@@ -1416,12 +1313,6 @@ def _trade_rows_for_bundles(
         :param num_pages: The number of pages of bundles that should be returned, the default is
         -1 (all bundles), with any other value exactly that value of bundles will be returned,
         assuming that there are that many
-        :param read_from_cache: Whether we should read the bundles from a cache folder,
-        in case they have already been computed
-        :param disable_multiprocessing: If true, the bundles will be processed sequentially and
-        then returned as a Generator; if false, the bundles for each query will be first converted
-        to a list (because Generators cannot be pickled, and thus cannot be used by multiprocessing),
-        and then they will be yielded as a Generator
         :param tqdm_df_build: Whether this function is being used by a wrapper to also build a
         DataFrame, in such case the "Build DF" string will be added to the tdqm text
         :return: A Generator containing FHIR bundles with the queried information for all rows
@@ -1436,22 +1327,18 @@ def _trade_rows_for_bundles(
                 request_params=request_params,
                 df_constraints=self._adjust_df_constraints(df_constraints),
             )
-            func = partial(
-                # If multiprocessing is disabled, I can use the generators,
-                # otherwise I have to use a list
-                self._bundle_fn if disable_multiprocessing else self._bundle_fn_to_list,
+            func: Callable = partial(
+                self._get_bundles,
                 resource_type,
                 num_pages=num_pages,
-                read_from_cache=read_from_cache,
                 silence_tqdm=True,
             )
             return self._run_multiquery(
                 func=func,
-                params=request_params_per_sample,
+                query_params=request_params_per_sample,
                 tqdm_text=f"Query Rows & Build DF ({resource_type})"
                 if tqdm_df_build
                 else f"Query Rows ({resource_type})",
-                disable_multiprocess=disable_multiprocessing,
             )
 
     @staticmethod
@@ -1545,6 +1432,7 @@ def _bundles_to_dataframe(
         if disable_multiprocessing:
             results = [item for bundle in bundles for item in process_function(bundle)]
         else:
+            # TODO: It could be that this never makes sense
             pool = multiprocessing.Pool(self.num_processes)
             if build_df_after_query or isinstance(bundles, List):
                 bundles = list(bundles)
@@ -1588,7 +1476,7 @@ def wrap(
             fhir_paths: List[Union[str, Tuple[str, str]]] = None,
             merge_on: str = None,
             build_df_after_query: bool = False,
-            disable_post_multiprocessing: bool = False,
+            disable_multiprocessing_build: bool = False,
             *args: Any,
             **kwargs: Any,
         ) -> pd.DataFrame:
@@ -1606,7 +1494,7 @@ def wrap(
                     process_function=process_function,
                     merge_on=merge_on,
                     build_df_after_query=build_df_after_query,
-                    disable_multiprocessing=disable_post_multiprocessing,
+                    disable_multiprocessing=disable_multiprocessing_build,
                 )
 
         return wrap
diff --git a/poetry.lock b/poetry.lock
index 2417e94..4223f8d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -8,7 +8,7 @@ python-versions = "*"
 
 [[package]]
 name = "anyio"
-version = "3.6.1"
+version = "3.6.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 category = "dev"
 optional = false
@@ -21,7 +21,15 @@ sniffio = ">=1.1"
 [package.extras]
 doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
 test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
-trio = ["trio (>=0.16)"]
+trio = ["trio (>=0.16,<0.22)"]
+
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "main"
+optional = false
+python-versions = "*"
 
 [[package]]
 name = "appnope"
@@ -64,7 +72,7 @@ tests = ["pytest"]
 
 [[package]]
 name = "asttokens"
-version = "2.0.8"
+version = "2.2.0"
 description = "Annotate AST trees with source code positions"
 category = "dev"
 optional = false
@@ -74,13 +82,13 @@ python-versions = "*"
 six = "*"
 
 [package.extras]
-test = ["astroid (<=2.5.3)", "pytest"]
+test = ["astroid", "pytest"]
 
 [[package]]
 name = "attrs"
 version = "22.1.0"
 description = "Classes Without Boilerplate"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"
 
@@ -170,6 +178,18 @@ category = "main"
 optional = true
 python-versions = ">=3.6"
 
+[[package]]
+name = "cattrs"
+version = "22.2.0"
+description = "Composable complex class support for attrs and dataclasses."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+attrs = ">=20"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "certifi"
 version = "2022.9.24"
@@ -221,11 +241,11 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "colorama"
-version = "0.4.5"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 
 [[package]]
 name = "confection"
@@ -249,7 +269,7 @@ python-versions = "*"
 
 [[package]]
 name = "debugpy"
-version = "1.6.3"
+version = "1.6.4"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
 optional = false
@@ -303,9 +323,20 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "exceptiongroup"
+version = "1.0.4"
+description = "Backport of PEP 654 (exception groups)"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=6)"]
+
 [[package]]
 name = "executing"
-version = "1.1.1"
+version = "1.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 category = "dev"
 optional = false
@@ -363,7 +394,7 @@ pyflakes = ">=2.3.0,<2.4.0"
 
 [[package]]
 name = "identify"
-version = "2.5.6"
+version = "2.5.9"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -382,7 +413,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "importlib-metadata"
-version = "5.0.0"
+version = "5.1.0"
 description = "Read metadata from Python packages"
 category = "dev"
 optional = false
@@ -413,11 +444,11 @@ testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-chec
 
 [[package]]
 name = "ipykernel"
-version = "6.16.0"
+version = "6.17.1"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [package.dependencies]
 appnope = {version = "*", markers = "platform_system == \"Darwin\""}
@@ -433,11 +464,12 @@ tornado = ">=6.1"
 traitlets = ">=5.1.0"
 
 [package.extras]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=6.0)", "pytest-cov", "pytest-timeout"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
-version = "8.5.0"
+version = "8.7.0"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
@@ -452,15 +484,15 @@ jedi = ">=0.16"
 matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
-prompt-toolkit = ">3.0.1,<3.1.0"
+prompt-toolkit = ">=3.0.11,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "black", "curio", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "testpath", "trio"]
+all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.20)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["Sphinx (>=1.3)"]
+doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
@@ -468,7 +500,7 @@ notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
 
 [[package]]
 name = "ipython-genutils"
@@ -498,7 +530,7 @@ test = ["jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
 
 [[package]]
 name = "jedi"
-version = "0.18.1"
+version = "0.18.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 category = "dev"
 optional = false
@@ -508,8 +540,9 @@ python-versions = ">=3.6"
 parso = ">=0.8.0,<0.9.0"
 
 [package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -527,7 +560,7 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jsonschema"
-version = "4.16.0"
+version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 category = "dev"
 optional = false
@@ -561,7 +594,7 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.2"
+version = "7.4.7"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
@@ -578,7 +611,7 @@ traitlets = "*"
 
 [package.extras]
 doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["codecov", "coverage", "ipykernel (>=6.5)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
+test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-console"
@@ -600,22 +633,24 @@ test = ["pexpect"]
 
 [[package]]
 name = "jupyter-core"
-version = "4.11.1"
+version = "5.1.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [package.dependencies]
+platformdirs = ">=2.5"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
-traitlets = "*"
+traitlets = ">=5.3"
 
 [package.extras]
+docs = ["myst-parser", "sphinxcontrib-github-alt", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-server"
-version = "1.21.0"
+version = "1.23.3"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
@@ -739,7 +774,7 @@ python-versions = "*"
 
 [[package]]
 name = "nbclassic"
-version = "0.4.5"
+version = "0.4.8"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -767,29 +802,30 @@ traitlets = ">=4.2.1"
 [package.extras]
 docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
 json-logging = ["json-logging"]
-test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-tornasync", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"]
+test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"]
 
 [[package]]
 name = "nbclient"
-version = "0.7.0"
+version = "0.7.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "dev"
 optional = false
 python-versions = ">=3.7.0"
 
 [package.dependencies]
-jupyter-client = ">=6.1.5"
-nbformat = ">=5.0"
-nest-asyncio = "*"
-traitlets = ">=5.2.2"
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+nbformat = ">=5.1"
+traitlets = ">=5.3"
 
 [package.extras]
-sphinx = ["Sphinx (>=1.7)", "autodoc-traits", "mock", "moto", "myst-parser", "sphinx-book-theme"]
-test = ["black", "check-manifest", "flake8", "ipykernel", "ipython", "ipywidgets", "mypy", "nbconvert", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
+dev = ["pre-commit"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme"]
+test = ["ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.2.1"
+version = "7.2.5"
 description = "Converting Jupyter Notebooks"
 category = "dev"
 optional = false
@@ -860,7 +896,7 @@ setuptools = "*"
 
 [[package]]
 name = "notebook"
-version = "6.5.1"
+version = "6.5.2"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -873,7 +909,7 @@ ipython-genutils = "*"
 jinja2 = "*"
 jupyter-client = ">=5.3.4"
 jupyter-core = ">=4.6.1"
-nbclassic = "0.4.5"
+nbclassic = ">=0.4.7"
 nbconvert = ">=5"
 nbformat = "*"
 nest-asyncio = ">=1.5"
@@ -891,7 +927,7 @@ test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixs
 
 [[package]]
 name = "notebook-shim"
-version = "0.2.0"
+version = "0.2.2"
 description = "A shim layer for notebook traits and config"
 category = "dev"
 optional = false
@@ -905,7 +941,7 @@ test = ["pytest", "pytest-console-scripts", "pytest-tornasync"]
 
 [[package]]
 name = "numpy"
-version = "1.23.4"
+version = "1.23.5"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
@@ -924,7 +960,7 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
 [[package]]
 name = "pandas"
-version = "1.5.0"
+version = "1.5.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -932,8 +968,9 @@ python-versions = ">=3.8"
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
 ]
 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
@@ -963,7 +1000,7 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "pathspec"
-version = "0.10.1"
+version = "0.10.2"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
@@ -971,7 +1008,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "pathy"
-version = "0.6.2"
+version = "0.10.0"
 description = "pathlib.Path subclasses for local and cloud bucket storage"
 category = "main"
 optional = true
@@ -982,7 +1019,8 @@ smart-open = ">=5.2.1,<6.0.0"
 typer = ">=0.3.0,<1.0.0"
 
 [package.extras]
-all = ["boto3", "google-cloud-storage (>=1.26.0,<2.0.0)", "mock", "pytest", "pytest-coverage", "typer-cli"]
+all = ["azure-storage-blob", "boto3", "google-cloud-storage (>=1.26.0,<2.0.0)", "mock", "pytest", "pytest-coverage", "typer-cli"]
+azure = ["azure-storage-blob"]
 gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
 s3 = ["boto3"]
 test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
@@ -1016,15 +1054,15 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "platformdirs"
-version = "2.5.2"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "2.5.4"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx (>=4)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"]
+test = ["appdirs (==1.4.4)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pre-commit"
@@ -1067,7 +1105,7 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.31"
+version = "3.0.33"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
@@ -1078,7 +1116,7 @@ wcwidth = "*"
 
 [[package]]
 name = "psutil"
-version = "5.9.2"
+version = "5.9.4"
 description = "Cross-platform lib for process and system monitoring in Python."
 category = "dev"
 optional = false
@@ -1132,14 +1170,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pydantic"
-version = "1.9.2"
+version = "1.10.2"
 description = "Data validation and settings management using python type hints"
 category = "main"
 optional = true
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
 
 [package.dependencies]
-typing-extensions = ">=3.7.4.3"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 dotenv = ["python-dotenv (>=0.10.4)"]
@@ -1147,7 +1185,7 @@ email = ["email-validator (>=1.0.3)"]
 
 [[package]]
 name = "pydicom"
-version = "2.3.0"
+version = "2.3.1"
 description = "A pure Python package for reading and writing DICOM data"
 category = "main"
 optional = true
@@ -1177,15 +1215,15 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pyjwt"
-version = "2.5.0"
+version = "2.6.0"
 description = "JSON Web Token implementation in Python"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-crypto = ["cryptography (>=3.3.1)", "types-cryptography (>=3.3.21)"]
-dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.3.1)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "types-cryptography (>=3.3.21)", "zope.interface"]
+crypto = ["cryptography (>=3.4.0)"]
+dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
 docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
 tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
@@ -1202,7 +1240,7 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pyrsistent"
-version = "0.18.1"
+version = "0.19.2"
 description = "Persistent/Functional/Immutable data structures"
 category = "dev"
 optional = false
@@ -1232,7 +1270,7 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "pytz"
-version = "2022.5"
+version = "2022.6"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1240,7 +1278,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "304"
+version = "305"
 description = "Python for Window Extensions"
 category = "dev"
 optional = false
@@ -1248,7 +1286,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "2.0.8"
+version = "2.0.9"
 description = "Pseudo terminal support for Windows from Python."
 category = "dev"
 optional = false
@@ -1276,7 +1314,7 @@ py = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qtconsole"
-version = "5.3.2"
+version = "5.4.0"
 description = "Jupyter Qt console"
 category = "dev"
 optional = false
@@ -1298,7 +1336,7 @@ test = ["flaky", "pytest", "pytest-qt"]
 
 [[package]]
 name = "qtpy"
-version = "2.2.1"
+version = "2.3.0"
 description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
 category = "dev"
 optional = false
@@ -1328,9 +1366,36 @@ urllib3 = ">=1.21.1,<1.27"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-cache"
+version = "0.9.7"
+description = "A transparent persistent cache for the requests library"
+category = "main"
+optional = false
+python-versions = ">=3.7,<4.0"
+
+[package.dependencies]
+appdirs = ">=1.4.4"
+attrs = ">=21.2"
+cattrs = ">=22.2"
+requests = ">=2.22"
+url-normalize = ">=1.4"
+urllib3 = ">=1.25.5"
+
+[package.extras]
+all = ["boto3 (>=1.15)", "botocore (>=1.18)", "itsdangerous (>=2.0)", "pymongo (>=3)", "pyyaml (>=5.4)", "redis (>=3)", "ujson (>=4.0)"]
+bson = ["bson (>=0.5)"]
+docs = ["furo (>=2021.9.8)", "linkify-it-py (>=1.0.1,<2.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx (==4.3.0)", "sphinx-autodoc-typehints (>=1.11,<2.0)", "sphinx-automodapi (>=0.13,<0.15)", "sphinx-copybutton (>=0.3,<0.5)", "sphinx-inline-tabs (>=2022.1.2b11)", "sphinx-notfound-page (>=0.8)", "sphinx-panels (>=0.6,<0.7)", "sphinxcontrib-apidoc (>=0.3,<0.4)"]
+dynamodb = ["boto3 (>=1.15)", "botocore (>=1.18)"]
+json = ["ujson (>=4.0)"]
+mongodb = ["pymongo (>=3)"]
+redis = ["redis (>=3)"]
+security = ["itsdangerous (>=2.0)"]
+yaml = ["pyyaml (>=5.4)"]
+
 [[package]]
 name = "retrying"
-version = "1.3.3"
+version = "1.3.4"
 description = "Retrying"
 category = "main"
 optional = true
@@ -1354,7 +1419,7 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "65.5.0"
+version = "65.6.3"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 category = "main"
 optional = false
@@ -1362,7 +1427,7 @@ python-versions = ">=3.7"
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mock", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
@@ -1416,7 +1481,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "spacy"
-version = "3.4.1"
+version = "3.4.3"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 category = "main"
 optional = true
@@ -1432,37 +1497,39 @@ numpy = ">=1.15.0"
 packaging = ">=20.0"
 pathy = ">=0.3.5"
 preshed = ">=3.0.2,<3.1.0"
-pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.10.0"
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 requests = ">=2.13.0,<3.0.0"
 setuptools = "*"
-spacy-legacy = ">=3.0.9,<3.1.0"
+spacy-legacy = ">=3.0.10,<3.1.0"
 spacy-loggers = ">=1.0.0,<2.0.0"
 srsly = ">=2.4.3,<3.0.0"
 thinc = ">=8.1.0,<8.2.0"
 tqdm = ">=4.38.0,<5.0.0"
-typer = ">=0.3.0,<0.5.0"
+typer = ">=0.3.0,<0.8.0"
 wasabi = ">=0.9.1,<1.1.0"
 
 [package.extras]
 apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
-cuda = ["cupy (>=5.0.0b4,<11.0.0)"]
-cuda100 = ["cupy-cuda100 (>=5.0.0b4,<11.0.0)"]
-cuda101 = ["cupy-cuda101 (>=5.0.0b4,<11.0.0)"]
-cuda102 = ["cupy-cuda102 (>=5.0.0b4,<11.0.0)"]
-cuda110 = ["cupy-cuda110 (>=5.0.0b4,<11.0.0)"]
-cuda111 = ["cupy-cuda111 (>=5.0.0b4,<11.0.0)"]
-cuda112 = ["cupy-cuda112 (>=5.0.0b4,<11.0.0)"]
-cuda113 = ["cupy-cuda113 (>=5.0.0b4,<11.0.0)"]
-cuda114 = ["cupy-cuda114 (>=5.0.0b4,<11.0.0)"]
-cuda115 = ["cupy-cuda115 (>=5.0.0b4,<11.0.0)"]
-cuda116 = ["cupy-cuda116 (>=5.0.0b4,<11.0.0)"]
-cuda117 = ["cupy-cuda117 (>=5.0.0b4,<11.0.0)"]
-cuda80 = ["cupy-cuda80 (>=5.0.0b4,<11.0.0)"]
-cuda90 = ["cupy-cuda90 (>=5.0.0b4,<11.0.0)"]
-cuda91 = ["cupy-cuda91 (>=5.0.0b4,<11.0.0)"]
-cuda92 = ["cupy-cuda92 (>=5.0.0b4,<11.0.0)"]
+cuda = ["cupy (>=5.0.0b4,<12.0.0)"]
+cuda-autodetect = ["cupy-wheel (>=11.0.0,<12.0.0)"]
+cuda100 = ["cupy-cuda100 (>=5.0.0b4,<12.0.0)"]
+cuda101 = ["cupy-cuda101 (>=5.0.0b4,<12.0.0)"]
+cuda102 = ["cupy-cuda102 (>=5.0.0b4,<12.0.0)"]
+cuda110 = ["cupy-cuda110 (>=5.0.0b4,<12.0.0)"]
+cuda111 = ["cupy-cuda111 (>=5.0.0b4,<12.0.0)"]
+cuda112 = ["cupy-cuda112 (>=5.0.0b4,<12.0.0)"]
+cuda113 = ["cupy-cuda113 (>=5.0.0b4,<12.0.0)"]
+cuda114 = ["cupy-cuda114 (>=5.0.0b4,<12.0.0)"]
+cuda115 = ["cupy-cuda115 (>=5.0.0b4,<12.0.0)"]
+cuda116 = ["cupy-cuda116 (>=5.0.0b4,<12.0.0)"]
+cuda117 = ["cupy-cuda117 (>=5.0.0b4,<12.0.0)"]
+cuda11x = ["cupy-cuda11x (>=11.0.0,<12.0.0)"]
+cuda80 = ["cupy-cuda80 (>=5.0.0b4,<12.0.0)"]
+cuda90 = ["cupy-cuda90 (>=5.0.0b4,<12.0.0)"]
+cuda91 = ["cupy-cuda91 (>=5.0.0b4,<12.0.0)"]
+cuda92 = ["cupy-cuda92 (>=5.0.0b4,<12.0.0)"]
 ja = ["sudachidict-core (>=20211220)", "sudachipy (>=0.5.2,!=0.6.1)"]
-ko = ["natto-py (==0.9.0)"]
+ko = ["natto-py (>=0.9.0)"]
 lookups = ["spacy-lookups-data (>=1.0.3,<1.1.0)"]
 ray = ["spacy-ray (>=0.1.0,<1.0.0)"]
 th = ["pythainlp (>=2.0)"]
@@ -1500,15 +1567,15 @@ catalogue = ">=2.0.3,<2.1.0"
 
 [[package]]
 name = "stack-data"
-version = "0.5.1"
+version = "0.6.2"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 category = "dev"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
-asttokens = "*"
-executing = "*"
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
 pure-eval = "*"
 
 [package.extras]
@@ -1516,7 +1583,7 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "terminado"
-version = "0.16.0"
+version = "0.17.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "dev"
 optional = false
@@ -1528,11 +1595,12 @@ pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
 tornado = ">=6.1.0"
 
 [package.extras]
-test = ["pre-commit", "pytest (>=6.0)", "pytest-timeout"]
+docs = ["pydata-sphinx-theme", "sphinx"]
+test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
 
 [[package]]
 name = "thinc"
-version = "8.1.4"
+version = "8.1.5"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 category = "main"
 optional = true
@@ -1633,8 +1701,8 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.5.0"
-description = ""
+version = "5.6.0"
+description = "Traitlets Python configuration system"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
@@ -1645,7 +1713,7 @@ test = ["pre-commit", "pytest"]
 
 [[package]]
 name = "typer"
-version = "0.4.2"
+version = "0.7.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 category = "main"
 optional = true
@@ -1655,10 +1723,10 @@ python-versions = ">=3.6"
 click = ">=7.1.1,<9.0.0"
 
 [package.extras]
-all = ["colorama (>=0.4.3,<0.5.0)", "shellingham (>=1.3.0,<2.0.0)"]
+all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
 dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
-doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)"]
-test = ["black (>=22.3.0,<23.0.0)", "coverage (>=5.2,<6.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<2.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
+doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
+test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
 
 [[package]]
 name = "typing-extensions"
@@ -1668,13 +1736,24 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "url-normalize"
+version = "1.4.3"
+description = "URL normalization for Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "urllib3"
-version = "1.26.12"
+version = "1.26.13"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
@@ -1683,19 +1762,19 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.16.5"
+version = "20.17.0"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-distlib = ">=0.3.5,<1"
+distlib = ">=0.3.6,<1"
 filelock = ">=3.4.1,<4"
 platformdirs = ">=2.4,<3"
 
 [package.extras]
-docs = ["proselint (>=0.13)", "sphinx (>=5.1.1)", "sphinx-argparse (>=0.3.1)", "sphinx-rtd-theme (>=1)", "towncrier (>=21.9)"]
+docs = ["proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-argparse (>=0.3.2)", "sphinx-rtd-theme (>=1)", "towncrier (>=22.8)"]
 testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=21.3)", "pytest (>=7.0.1)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.6.1)", "pytest-randomly (>=3.10.3)", "pytest-timeout (>=2.1)"]
 
 [[package]]
@@ -1724,7 +1803,7 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "1.4.1"
+version = "1.4.2"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
@@ -1745,7 +1824,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "zipp"
-version = "3.9.0"
+version = "3.11.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
@@ -1763,15 +1842,19 @@ miner = ["spacy"]
 [metadata]
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 python-versions = "^3.8"
-content-hash = "e7a751510b6c13065594bdee1034e806de5eeccc34940b9e4e35636f2be8fb2a"
+content-hash = "4ba6e1d3d57fdd3cf21232f44111614e0f93c41109bda4df60a24070a4fe6c8f"
 
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@@ -2893,24 +2983,28 @@ tqdm = [
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 ]
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+    {file = "traitlets-5.6.0-py3-none-any.whl", hash = "sha256:1410755385d778aed847d68deb99b3ba30fbbf489e17a1e8cbb753060d5cce73"},
+    {file = "traitlets-5.6.0.tar.gz", hash = "sha256:10b6ed1c9cedee83e795db70a8b9c2db157bb3778ec4587a349ecb7ef3b1033b"},
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+    {file = "typer-0.7.0.tar.gz", hash = "sha256:ff797846578a9f2a201b53442aedeb543319466870fbe1c701eab66dd7681165"},
 ]
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 ]
+url-normalize = [
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+    {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
 ]
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+    {file = "virtualenv-20.17.0-py3-none-any.whl", hash = "sha256:40a7e06a98728fd5769e1af6fd1a706005b4bb7e16176a272ed4292473180389"},
+    {file = "virtualenv-20.17.0.tar.gz", hash = "sha256:7d6a8d55b2f73b617f684ee40fd85740f062e1f2e379412cb1879c7136f05902"},
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@@ -2925,14 +3019,14 @@ webencodings = [
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 ]
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-    {file = "websocket_client-1.4.1-py3-none-any.whl", hash = "sha256:398909eb7e261f44b8f4bd474785b6ec5f5b499d4953342fe9755e01ef624090"},
+    {file = "websocket-client-1.4.2.tar.gz", hash = "sha256:d6e8f90ca8e2dd4e8027c4561adeb9456b54044312dba655e7cae652ceb9ae59"},
+    {file = "websocket_client-1.4.2-py3-none-any.whl", hash = "sha256:d6b06432f184438d99ac1f456eaf22fe1ade524c3dd16e661142dc54e9cba574"},
 ]
 widgetsnbextension = [
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 ]
 zipp = [
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-    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
+    {file = "zipp-3.11.0-py3-none-any.whl", hash = "sha256:83a28fcb75844b5c0cdaf5aa4003c2d728c77e05f5aeabe8e95e56727005fbaa"},
+    {file = "zipp-3.11.0.tar.gz", hash = "sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"},
 ]
diff --git a/pyproject.toml b/pyproject.toml
index 67ae0f1..1eff5da 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "fhir-pyrate"
-version = "0.2.0-beta.5"
+version = "0.2.0-beta.6"
 description = "FHIR-PYrate is a package that provides a high-level API to query FHIR Servers for bundles of resources and return the structured information as pandas DataFrames. It can also be used to filter resources using RegEx and SpaCy and download DICOM studies and series."
 license = "MIT"
 authors = ["Giulia Baldini <giulia.baldini@uk-essen.de>", "Rene Hosch <rene.hosch@uk-essen.de>"]
@@ -26,6 +26,7 @@ tqdm = "^4.56.0"
 requests = "^2.28.0"
 PyJWT = "^2.4.0"
 fhirpathpy = "^0.1.0"
+requests-cache = "^0.9.7"
 
 
 [tool.poetry.extras]
diff --git a/tests/test_public.py b/tests/test_public.py
index 651e340..c0d15be 100644
--- a/tests/test_public.py
+++ b/tests/test_public.py
@@ -1,6 +1,8 @@
 import logging
 import os
 import re
+import tempfile
+import time
 import unittest
 from typing import Dict, List
 
@@ -206,13 +208,13 @@ def testServers(self) -> None:
 
 class ExampleTests(unittest.TestCase):
     def setUp(self) -> None:
+        super().setUp()
         self.search = Pirate(
             auth=None,
             base_url="http://hapi.fhir.org/baseDstu2",
             print_request_url=False,
             num_processes=1,
         )
-        super().setUp()
 
     def tearDown(self) -> None:
         self.search.close()
@@ -335,110 +337,167 @@ def testExample4(self) -> None:
 
 
 class TestPirate(unittest.TestCase):
-    def setUp(self) -> None:
-        self.search = Pirate(
-            auth=None,
-            base_url="http://hapi.fhir.org/baseDstu2",
-            print_request_url=False,
-            num_processes=3,
-        )
-        super().setUp()
-
-    def tearDown(self) -> None:
-        self.search.close()
+    def testCaching(self) -> None:
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            search = Pirate(
+                auth=None,
+                base_url="http://hapi.fhir.org/baseDstu2",
+                print_request_url=False,
+                num_processes=3,
+                cache_folder=tmp_dir,
+                disable_multiprocessing_requests=False,
+                disable_multiprocessing_build=False,
+            )
+            trade_df = pd.DataFrame(["18262-6", "2571-8"], columns=["code"])
+            init = time.time()
+            params = dict(
+                df=trade_df,
+                resource_type="Observation",
+                df_constraints={"code": "code"},
+                request_params={"_lastUpdated": "ge2018"},
+                with_ref=False,  # TODO: It seems like this is much faster
+                build_df_after_query=False,
+            )
+            obs_df_1 = search.trade_rows_for_dataframe(**params)
+            time_1 = time.time() - init
+            print("First run, caching", time_1, obs_df_1.shape)
+            init = time.time()
+            obs_df_2 = search.trade_rows_for_dataframe(**params)
+            time_2 = time.time() - init
+            print("Second run, retrieve", time_2, obs_df_2.shape)
+            assert time_2 < time_1
+            assert obs_df_1.equals(obs_df_2)
 
     def testStealBundles(self) -> None:
-        obs_bundles = self.search.steal_bundles(
-            resource_type="Observation", num_pages=5
-        )
-        obs_df = self.search.bundles_to_dataframe(obs_bundles)
-        assert len(obs_df) > 0
-        first_length = len(obs_df)
-        for build_after_query in [True, False]:
-            with self.subTest(msg="build_after_query_{}".format(build_after_query)):
-                obs_df = self.search.steal_bundles_to_dataframe(
-                    resource_type="Observation",
-                    num_pages=5,
-                    build_df_after_query=build_after_query,
-                )
-                assert len(obs_df) == first_length
+        for cache_val in ["cache", None]:
+            for d_requests in [True, False]:
+                for d_build in [True, False]:
+                    with self.subTest(
+                        msg=f"cache_{cache_val}_req_{d_requests}_build_{d_build}"
+                    ):
+                        search = Pirate(
+                            auth=None,
+                            base_url="http://hapi.fhir.org/baseDstu2",
+                            print_request_url=False,
+                            num_processes=3,
+                            cache_folder=cache_val,
+                            disable_multiprocessing_requests=d_requests,
+                            disable_multiprocessing_build=d_build,
+                        )
+                        obs_bundles = search.steal_bundles(
+                            resource_type="Observation", num_pages=5
+                        )
+                        obs_df = search.bundles_to_dataframe(obs_bundles)
+                        assert len(obs_df) > 0
+                        first_length = len(obs_df)
+                        for build_after_query in [True, False]:
+                            with self.subTest(
+                                msg=f"build_after_query_{build_after_query}"
+                            ):
+                                obs_df = search.steal_bundles_to_dataframe(
+                                    resource_type="Observation",
+                                    num_pages=5,
+                                    build_df_after_query=build_after_query,
+                                )
+                                assert len(obs_df) == first_length
+                        search.close()
 
     def testSail(self) -> None:
-        for multi in [True, False]:
-            obs_bundles = self.search.sail_through_search_space(
-                resource_type="Observation",
-                time_attribute_name="_lastUpdated",
-                date_init="2021-01-01",
-                date_end="2022-01-01",
-                disable_multiprocessing=multi,
-            )
-            obs_df = self.search.bundles_to_dataframe(obs_bundles)
-        assert len(obs_df) > 0
-        first_length = len(obs_df)
-        for multi in [True, False]:
-            for build_after_query in [True, False]:
-                with self.subTest(
-                    msg="multi_{}_build_after_query_{}".format(multi, build_after_query)
-                ):
-                    obs_df = self.search.sail_through_search_space_to_dataframe(
-                        resource_type="Observation",
-                        time_attribute_name="_lastUpdated",
-                        date_init="2021-01-01",
-                        date_end="2022-01-01",
-                        build_df_after_query=build_after_query,
-                        disable_multiprocessing=multi,
-                    )
-                    assert len(obs_df) == first_length
+        for cache_val in ["cache", None]:
+            for d_requests in [True, False]:
+                for d_build in [True, False]:
+                    with self.subTest(
+                        msg=f"cache_{cache_val}_req_{d_requests}_build_{d_build}"
+                    ):
+                        search = Pirate(
+                            auth=None,
+                            base_url="http://hapi.fhir.org/baseDstu2",
+                            print_request_url=False,
+                            num_processes=3,
+                            cache_folder=cache_val,
+                            disable_multiprocessing_requests=d_requests,
+                            disable_multiprocessing_build=d_build,
+                        )
+                        obs_bundles = search.sail_through_search_space(
+                            resource_type="Observation",
+                            time_attribute_name="_lastUpdated",
+                            date_init="2021-01-01",
+                            date_end="2022-01-01",
+                        )
+                        obs_df = search.bundles_to_dataframe(obs_bundles)
+                        assert len(obs_df) > 0
+                        first_length = len(obs_df)
+                        for build_after_query in [True, False]:
+                            with self.subTest(
+                                msg=f"build_after_query_{build_after_query}"
+                            ):
+                                obs_df = search.sail_through_search_space_to_dataframe(
+                                    resource_type="Observation",
+                                    time_attribute_name="_lastUpdated",
+                                    date_init="2021-01-01",
+                                    date_end="2022-01-01",
+                                    build_df_after_query=build_after_query,
+                                )
+                                assert len(obs_df) == first_length
 
     def testTrade(self) -> None:
         trade_df = pd.DataFrame(["18262-6", "2571-8"], columns=["code"])
-        for multi in [True, False]:
-            with self.subTest(msg="multi_{}".format(multi)):
-                obs_bundles = self.search.trade_rows_for_bundles(
-                    trade_df,
-                    resource_type="Observation",
-                    df_constraints={"code": "code"},
-                    request_params={"_lastUpdated": "ge2020"},
-                    disable_multiprocessing=multi,
-                )
-                obs_df = self.search.bundles_to_dataframe(obs_bundles)
-                first_length = len(obs_df)
-                assert len(obs_df) > 0
-
-                obs_df = self.search.trade_rows_for_dataframe(
-                    trade_df,
-                    resource_type="Observation",
-                    df_constraints={"code": "code"},
-                    with_ref=True,
-                    request_params={"_lastUpdated": "ge2020"},
-                    disable_multiprocessing=multi,
-                )
-                assert len(obs_df) == first_length
-        for multi in [True, False]:
-            for build_after_query in [True, False]:
-                with self.subTest(
-                    msg="multi_{}_build_after_query_{}".format(multi, build_after_query)
-                ):
-                    obs_df = self.search.trade_rows_for_dataframe(
-                        trade_df,
-                        resource_type="Observation",
-                        df_constraints={"code": "code"},
-                        request_params={"_lastUpdated": "ge2020"},
-                        build_df_after_query=build_after_query,
-                        disable_multiprocessing=multi,
-                    )
-                    assert len(obs_df) == first_length
+        for cache_val in ["cache", None]:
+            for d_requests in [True, False]:
+                for d_build in [True, False]:
+                    with self.subTest(
+                        msg=f"cache_{cache_val}_req_{d_requests}_build_{d_build}"
+                    ):
+                        search = Pirate(
+                            auth=None,
+                            base_url="http://hapi.fhir.org/baseDstu2",
+                            print_request_url=False,
+                            num_processes=3,
+                            cache_folder=cache_val,
+                            disable_multiprocessing_requests=d_requests,
+                            disable_multiprocessing_build=d_build,
+                        )
+                        obs_bundles = search.trade_rows_for_bundles(
+                            trade_df,
+                            resource_type="Observation",
+                            df_constraints={"code": "code"},
+                            request_params={"_lastUpdated": "ge2020"},
+                        )
+                        obs_df = search.bundles_to_dataframe(obs_bundles)
+                        first_length = len(obs_df)
+                        assert len(obs_df) > 0
+
+                        obs_df = search.trade_rows_for_dataframe(
+                            trade_df,
+                            resource_type="Observation",
+                            df_constraints={"code": "code"},
+                            with_ref=True,
+                            request_params={"_lastUpdated": "ge2020"},
+                        )
+                        assert len(obs_df) == first_length
+                        for build_after_query in [True, False]:
+                            with self.subTest(
+                                msg=f"build_after_query_{build_after_query}"
+                            ):
+                                obs_df = search.trade_rows_for_dataframe(
+                                    trade_df,
+                                    resource_type="Observation",
+                                    df_constraints={"code": "code"},
+                                    request_params={"_lastUpdated": "ge2020"},
+                                    build_df_after_query=build_after_query,
+                                )
+                                assert len(obs_df) == first_length
 
 
 class ContraintsTest(unittest.TestCase):
     def setUp(self) -> None:
+        super().setUp()
         self.search = Pirate(
             auth=None,
             base_url="http://hapi.fhir.org/baseDstu2",
             print_request_url=False,
             num_processes=1,
         )
-        super().setUp()
         self.condition_df = self.search.steal_bundles_to_dataframe(
             resource_type="Condition",
             request_params={