diff --git a/dags/sources/config/db_mapping.json b/dags/sources/config/db_mapping.json
index c7591a4b5..b44340eb0 100755
--- a/dags/sources/config/db_mapping.json
+++ b/dags/sources/config/db_mapping.json
@@ -54,6 +54,7 @@
       "emballage_carton",
       "papiers_graphiques"
     ],
+    "petits appareils extincteurs": "Petits appareils extincteurs",
     "plâtre": "Plâtre - PMCB (produits et matériaux de construction du bâtiment)",
     "pmcb - bois": "Bois - PMCB (produits et matériaux de construction du bâtiment)",
     "pmcb - métal": "Métal - PMCB (produits et matériaux de construction du bâtiment)",
diff --git a/dags/sources/dags/source_ecopae.py b/dags/sources/dags/source_ecopae.py
new file mode 100755
index 000000000..95914f36f
--- /dev/null
+++ b/dags/sources/dags/source_ecopae.py
@@ -0,0 +1,142 @@
+from airflow import DAG
+from sources.config import shared_constants as constants
+from sources.config.airflow_params import get_mapping_config
+from sources.tasks.airflow_logic.operators import default_args, eo_task_chain
+
+with DAG(
+    dag_id="eo-ecopae",
+    dag_display_name="Source - ECOPAE",
+    default_args=default_args,
+    description=(
+        "Injestion des données de l'éco-organisme ECOPAE à partir des données"
+        " disponibles sur Koumoul"
+    ),
+    params={
+        "normalization_rules": [
+            # 1. Renommage des colonnes
+            {
+                "origin": "nom_de_lorganisme",
+                "destination": "nom",
+            },
+            {
+                "origin": "enseigne_commerciale",
+                "destination": "nom_commercial",
+            },
+            {
+                "origin": "longitudewgs84",
+                "destination": "longitude",
+            },
+            {
+                "origin": "latitudewgs84",
+                "destination": "latitude",
+            },
+            # 2. Transformation des colonnes
+            {
+                "origin": "ecoorganisme",
+                "transformation": "strip_lower_string",
+                "destination": "source_code",
+            },
+            {
+                "origin": "type_de_point_de_collecte",
+                "transformation": "clean_acteur_type_code",
+                "destination": "acteur_type_code",
+            },
+            {
+                "origin": "public_accueilli",
+                "transformation": "clean_public_accueilli",
+                "destination": "public_accueilli",
+            },
+            {
+                "origin": "exclusivite_de_reprisereparation",
+                "transformation": "cast_eo_boolean_or_string_to_boolean",
+                "destination": "exclusivite_de_reprisereparation",
+            },
+            {
+                "origin": "reprise",
+                "transformation": "clean_reprise",
+                "destination": "reprise",
+            },
+            {
+                "origin": "produitsdechets_acceptes",
+                "transformation": "clean_souscategorie_codes",
+                "destination": "souscategorie_codes",
+            },
+            # 3. Ajout des colonnes avec une valeur par défaut
+            {
+                "column": "statut",
+                "value": constants.ACTEUR_ACTIF,
+            },
+            {
+                "column": "label_codes",
+                "value": [],
+            },
+            # 4. Transformation du dataframe
+            {
+                "origin": ["id_point_apport_ou_reparation", "nom"],
+                "transformation": "clean_identifiant_externe",
+                "destination": ["identifiant_externe"],
+            },
+            {
+                "origin": [
+                    "identifiant_externe",
+                    "source_code",
+                ],
+                "transformation": "clean_identifiant_unique",
+                "destination": ["identifiant_unique"],
+            },
+            {
+                "origin": ["siret", "siren"],
+                "transformation": "clean_siret_and_siren",
+                "destination": ["siret", "siren"],
+            },
+            {
+                "origin": ["adresse_format_ban"],
+                "transformation": "clean_adresse",
+                "destination": ["adresse", "code_postal", "ville"],
+            },
+            {
+                "origin": [
+                    "point_dapport_de_service_reparation",
+                    "point_de_reparation",
+                    "point_dapport_pour_reemploi",
+                    "point_de_collecte_ou_de_reprise_des_dechets",
+                ],
+                "transformation": "clean_acteurservice_codes",
+                "destination": ["acteurservice_codes"],
+            },
+            {
+                "origin": [
+                    "point_dapport_de_service_reparation",
+                    "point_de_reparation",
+                    "point_dapport_pour_reemploi",
+                    "point_de_collecte_ou_de_reprise_des_dechets",
+                ],
+                "transformation": "clean_action_codes",
+                "destination": ["action_codes"],
+            },
+            # 5. Supression des colonnes
+            {"remove": "_i"},
+            {"remove": "_id"},
+            {"remove": "_updatedAt"},
+            {"remove": "_rand"},
+            {"remove": "_geopoint"},
+            {"remove": "filiere"},
+            {"remove": "_score"},
+            {"remove": "adresse_format_ban"},
+            {"remove": "id_point_apport_ou_reparation"},
+            {"remove": "point_de_collecte_ou_de_reprise_des_dechets"},
+            {"remove": "point_dapport_de_service_reparation"},
+            {"remove": "point_dapport_pour_reemploi"},
+            {"remove": "point_de_reparation"},
+        ],
+        "endpoint": (
+            "https://data.pointsapport.ademe.fr/data-fair/api/v1/datasets/"
+            "donnees-eo-ecopae/lines?size=10000"
+        ),
+        "ignore_duplicates": False,
+        "validate_address_with_ban": False,
+        "product_mapping": get_mapping_config(),
+    },
+    schedule=None,
+) as dag:
+    eo_task_chain(dag)