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#google-trends-api

NPM

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##v3 to v4 Big changes! The old google-trends endpoints are deprecated and are heavily throttled so this library has changed significantly. You can choose to download the old version via npm install [email protected] but it is discouraged.

##Introduction This library provides an API layer to google trends data. It is constantly being expanded and improved so please check back frequently. Also, please feel free to contribute to make the library even better! 🐶

###Syntax

const googleTrends = require('google-trends-api');

googleTrends.apiMethod(optionsObject, [callback])

####Parameters optionsObject An object with the following options keys:

  • keyword Target search term (string) required
  • startTime Start of time period of interest (new Date() object). If startTime is not provided, a date of January 1, 2004 is assumed (this is the oldest available google trends data)
  • endTime End of time period of interest (new Date() object). If endTime is not provided, the current date is selected.
  • geo Location of interest (string).
  • hl Preferred language (defaults to english)
  • resolution Granularity of the geo search (enumerated string ['COUNTRY', 'REGION', 'CITY', 'DMA']). resolution is specific to the interestByRegion method.

callback Optional callback function where the first parameter is an error and the second parameter is the result. If no callback is provided, then a promise is returned.

##Table of contents

Installation

To install this package, clone this git repository and include it in your project's node_modules or simply:

npm install google-trends-api

Require google-trends-api in your script and give it a variable name:

const googleTrends = require('google-trends-api');

You will now be able to access methods on googleTrends. See the API Methods section below to see the methods available and their syntax.

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API

Promises

By default, all the API's return a promise for the results. Example:

googleTrends.interestOverTime({keyword: 'Women\'s march'})
.then(function(results){
  console.log('These results are awesome', results);
})
.catch(function(err){
  console.error('Oh no there was an error', err);
});

Callbacks

All API methods can alternatively take a callback function as the second parameter. For example:

googleTrends.interestOverTime({keyword: 'Women\'s march'}, function(err, results){
  if(err) console.error('there was an error!', err);
  else console.log('my sweet sweet results', results);
})

Examples

There are examples available for each API method in the root directory of the module. Note: Each example in examples.js needs to be uncommented.

API Methods

The following API methods are available:

  • interestOverTime: Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. Likewise a score of 0 means the term was less than 1% as popular as the peak.'

  • interestByRegion: See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location which is half as popular, and a value of 0 indicates a location where the term was less than 1% as popular as the peak.

    Note: A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "bananas" will get twice the score of a giant country where only 40% of the queries are for "bananas".

  • relatedQueries: Users searching for your term also searched for these queries. The following metrics are returned:

    • Top - The most popular search queries. Scoring is on a relative scale where a value of 100 is the most commonly searched query, 50 is a query searched half as often, and a value of 0 is a query searched for less than 1% as often as the most popular query.
    • Rising - Queries with the biggest increase in search frequency since the last time period. Results marked "Breakout" had a tremendous increase, probably because these queries are new and had few (if any) prior searches.

  • relatedTopics: Users searching for your term also searched for these topics. The following metrics are returned:

    • Top - The most popular topics. Scoring is on a relative scale where a value of 100 is the most commonly searched topic, a value of 50 is a topic searched half as often, and a value of 0 is a topic searched for less than 1% as often as the most popular topic.
    • Rising - Related topics with the biggest increase in search frequency since the last time period. Results marked "Breakout" had a tremendous increase, probably because these topics are new and had few (if any) prior searches.

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interestOverTime

Search interest relative to the highest point on the chart for the given region and time (100 is the peak popularity for the term)

#####Syntax googleTrends.interestOverTime({keyword: string, startTime: Date, endTime: Date, geo: string}, cbFunc)

Requires an object as the first parameter with the following keys:

  • keyword - required - type string - the search term of interest
  • startTime - optional - type Date object - the start of the time range of interest (defaults to new Date('2004-01-01') if not supplied)
  • endTime - optional - type Date object - the end of the time range of interest (defaults to new Date(Date.now()) if not supplied)
  • geo - optional - type string - geocode for a country, region, or DMA depending on the granularity required (defaults to worldwide). For example, geo: 'US-CA-800' will target the Bakersfield, California, United States or geo: 'US' will just target the US.
  • hl - optional - type string - preferred language code for results (defaults to english)

Optional callback function as the second parameter (otherwise returns a promise)

The resolution of the search changes automatically depending on the search duration. The wider the duration window, the worse the resolution (for example, a search duration with a startTime and endTime that ends years apart will return a resolution in months, while a search duration with a startTime and endTime a few hours apart will return a resolution in minutes).

#####Example 1 Returning the search interest over time for 'Valentines Day' (by default from 2004-01-01 to today)

######Input

googleTrends.interestOverTime({keyword: 'Valentines Day'})
.then(function(results){
  console.log(results);
})
.catch(function(err){
  console.error(err);
});

######Output

{"default":{"timelineData":[{"time":"1072915200","formattedTime":"Jan 2004","formattedAxisTime":"Jan 1, 2004","value":[26],"formattedValue":["26"]},{"time":"1075593600","formattedTime":"Feb 2004","formattedAxisTime":"Feb 1, 2004","value":[74],"formattedValue":["74"]},
...
{"time":"1483228800","formattedTime":"Jan 2017","formattedAxisTime":"Jan 1, 2017","value":[18],"formattedValue":["18"]},{"time":"1485907200","formattedTime":"Feb 2017","formattedAxisTime":"Feb 1, 2017","value":[72],"formattedValue":["72"]}],"averages":[]}}

#####Example 2 Returning the search interest over time for 'Valentines Day' from the past four hours. Note that the resolution is by minute since our query duration is shorter.

######Input

googleTrends.interestOverTime({keyword: 'Valentines Day', startTime: new Date(Date.now() - (4 * 60 * 60 * 1000))}, function(err, results) {
  if (err) console.log('oh no error!', err);
  else console.log(results);
});

######Output

{"default":{"timelineData":[{"time":"1487026800","formattedTime":"Feb 13, 2017 at 6:00 PM","formattedAxisTime":"6:00 PM","value":[49],"formattedValue":["49"]},{"time":"1487026860","formattedTime":"Feb 13, 2017 at 6:01 PM","formattedAxisTime":"6:01 PM","value":[50],"formattedValue":["50"]},
...
{"time":"1487040180","formattedTime":"Feb 13, 2017 at 9:43 PM","formattedAxisTime":"9:43 PM","value":[88],"formattedValue":["88"]},{"time":"1487040240","formattedTime":"Feb 13, 2017 at 9:44 PM","formattedAxisTime":"9:44 PM","value":[81],"formattedValue":["81"]}],"averages":[]}}

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interestByRegion

See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location.

#####Syntax googleTrends.interestByRegion({keyword: string, startTime: Date, endTime: Date, geo: string, resolution: string}, cbFunc)

Requires an object as the first parameter with the following keys:

  • keyword - required - type string - the search term of interest
  • startTime - optional - type Date object - the start of the time range of interest (defaults to new Date('2004-01-01') if not supplied)
  • endTime - optional - type Date object - the end of the time range of interest (defaults to new Date(Date.now()) if not supplied)
  • geo - optional - type string - geocode for a country, region, or DMA depending on the granularity required (defaults to worldwide). For example, geo: 'US-CA-800' will target the Bakersfield, California, United States or geo: 'US' will just target the US.
  • resolution - optional - type enumerated string either COUNTRY, REGION, CITY or DMA. Resolution is selected by default otherwise. Trying to select a resolution larger than a specified geo will return an error.
  • hl - optional - type string - preferred language code for results (defaults to english)

Optional callback function as the second parameter (otherwise returns a promise)

#####Example 1 Returning the search interest by cities around the world for 'Donald Trump' from February 01, 2017 to February 06, 2017.

######Input

googleTrends.interestByRegion({keyword: 'Donald Trump', startTime: new Date('2017-02-01'), endTime: new Date('2017-02-06'), resolution: 'CITY'})
.then((res) => {
  console.log(res);
})
.catch((err) => {
  console.log(err);
})

######Output

{"default":{"geoMapData":[{"coordinates":{"lat":18.594395,"lng":-72.3074326},"geoName":"Port-au-Prince","value":[100],"formattedValue":["100"],"maxValueIndex":0},{"coordinates":{"lat":43.467517,"lng":-79.6876659},"geoName":"Oakville","value":[90],"formattedValue":["90"],"maxValueIndex":0},
...
{"coordinates":{"lat":40.9312099,"lng":-73.8987469},"geoName":"Yonkers","value":[69],"formattedValue":["69"],"maxValueIndex":0}]}}

#####Example 2 Returning the search interest by cities in California for 'Donald Trump' from February 01, 2017 to February 06, 2017.

######Input

googleTrends.interestByRegion({keyword: 'Donald Trump', startTime: new Date('2017-02-01'), endTime: new Date('2017-02-06'), geo: 'US-CA'})
.then((res) => {
  console.log(res);
})
.catch((err) => {
  console.log(err);
})

######Output

{"default":{"geoMapData":[{"geoCode":"807","geoName":"San Francisco-Oakland-San Jose CA","value":[100],"formattedValue":["100"],"maxValueIndex":0},{"geoCode":"828","geoName":"Monterey-Salinas CA","value":[100],"formattedValue":["100"],"maxValueIndex":0},
...
{"geoCode":"811","geoName":"Reno NV","value":[12],"formattedValue":["12"],"maxValueIndex":0},{"geoCode":"813","geoName":"Medford-Klamath Falls OR","value":[4],"formattedValue":["4"],"maxValueIndex":0}]}}

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relatedQueries

Users searching for your term also searched for these queries.

#####Syntax googleTrends.relatedQueries({keyword: string, startTime: Date, endTime: Date, geo: string}, cbFunc)

Requires an object as the first parameter with the following keys:

  • keyword - required - type string - the search term of interest
  • startTime - optional - type Date object - the start of the time range of interest (defaults to new Date('2004-01-01') if not supplied)
  • endTime - optional - type Date object - the end of the time range of interest (defaults to new Date(Date.now()) if not supplied)
  • geo - optional - type string - geocode for a country, region, or DMA depending on the granularity required (defaults to worldwide). For example, geo: 'US-CA-800' will target the Bakersfield, California, United States or geo: 'US' will just target the US.
  • hl - optional - type string - preferred language code for results (defaults to english)

Optional callback function as the second parameter (otherwise returns a promise)

#####Example Returning top related queries for 'Westminster Dog show' with default startTime, endTime, and geo categories

######Input

googleTrends.relatedQueries({keyword: 'Westminster Dog Show'})
.then((res) => {
  console.log(res);
})
.catch((err) => {
  console.log(err);
})

######Output

{"default":{"rankedList":[{"rankedKeyword":[{"query":"dog show 2016","value":100,"formattedValue":"100","link":"/"},{"query":"2016 westminster dog show","value":95,"formattedValue":"95","link":"/"},
...
{"query":"dogs","value":20,"formattedValue":"20","link":"/"}]},{"rankedKeyword":[{"query":"dog show 2016","value":836500,"formattedValue":"Breakout","link":"/"},{"query":"2016 westminster dog show","value":811550,"formattedValue":"Breakout","link":"/"},
...
{"query":"who won the westminster dog show","value":59000,"formattedValue":"Breakout","link":"/"}]}]}}

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relatedTopics

Users searching for your term also searched for these topics

#####Syntax googleTrends.relatedTopics({keyword: string, startTime: Date, endTime: Date, geo: string}, cbFunc)

Requires an object as the first parameter with the following keys:

  • keyword - required - type string - the search term of interest
  • startTime - optional - type Date object - the start of the time range of interest (defaults to new Date('2004-01-01') if not supplied)
  • endTime - optional - type Date object - the end of the time range of interest (defaults to new Date(Date.now()) if not supplied)
  • geo - optional - type string - geocode for a country, region, or DMA depending on the granularity required (defaults to worldwide). For example, geo: 'US-CA-800' will target the Bakersfield, California, United States or geo: 'US' will just target the US.
  • hl - optional - type string - preferred language code for results (defaults to english)

Optional callback function as the second parameter (otherwise returns a promise)

#####Example Returning top related topics for 'Chipotle' from January 1st, 2015 to February 10th, 2017.

######Input

googleTrends.relatedTopics({keyword: 'Chipotle', startTime: new Date('2015-01-01'), endTime: new Date('2017-02-10')})
.then((res) => {
  console.log(res);
})
.catch((err) => {
  console.log(err);
})

######Output

{"default":{"rankedList":[{"rankedKeyword":[{"topic":{"mid":"/m/01b566","title":"Chipotle Mexican Grill","type":"Restaurant company"},"value":100,"formattedValue":"100","link":"/"},{"topic":{"mid":"/m/02f217","title":"Chipotle","type":"Jalape\u00f1o"},"value":5,"formattedValue":"5","link":"/"},
...
{"topic":{"mid":"/m/01xg7s","title":"Chorizo","type":"Topic"},"value":0,"formattedValue":"0","link":"/"}]},{"rankedKeyword":[{"topic":{"mid":"/m/09_yl","title":"E. coli","type":"Bacteria"},"value":40700,"formattedValue":"Breakout","link":"/"},
...
{"topic":{"mid":"/m/0dqc4","title":"Caridea","type":"Animal"},"value":40,"formattedValue":"+40%","link":"/"}]}]}}

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##Geo help Unfortunately support is not offered for zip codes at this time. The user must enter a country code, region (or state) code, and/or DMA (Designated Market Area) code.

##Big Thanks

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An API layer on top of google trends

www.npmjs.com/package/google-trends-api

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