Google Trends API

Pull historical and current search popularity data from Google Trends. Set engine=google_trends, pass one or more terms in q, and optionally scope the request with geo, date, and cat.

Endpoint

GET https://serp.shifter.io/v1?engine=google_trends&api_key=YOUR_API_KEY

Parameters

Parameter	Type	Required	Description
api_key	string	yes	Your SERP API key
engine	string	yes	Must be google_trends
q	string	yes	The search term(s). Multiple terms can be comma-separated
geo	string	no	Location code. Defaults to worldwide. See the geo parameter options list
region	string	no	country, city, subregion, or metro. Applies to compared_breakdown_by_region
date	string	no	YYYY-MM-DD YYYY-MM-DD range, or one of now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 5-y, all
cat	string	no	Category ID. See the categories list

Example request

curl

curl "https://serp.shifter.io/v1?engine=google_trends&api_key=YOUR_API_KEY&geo=US&q=american%20football&date=2021-01-01%202022-01-01"

Python

import requests

params = {
    "engine": "google_trends",
    "api_key": "YOUR_API_KEY",
    "geo": "US",
    "q": "american football",
    "date": "2021-01-01 2022-01-01",
}
r = requests.get("https://serp.shifter.io/v1", params=params)
data = r.json()

Node.js

import fetch from 'node-fetch';

const url = 'https://serp.shifter.io/v1?' + new URLSearchParams({
  engine: 'google_trends',
  api_key: 'YOUR_API_KEY',
  geo: 'US',
  q: 'american football',
  date: '2021-01-01 2022-01-01',
});
const data = await (await fetch(url)).json();

Example response

{
  "search_parameters": {
    "engine": "google_trends",
    "q": "american football",
    "geo": "US",
    "date": "2021-01-01 2022-01-01"
  },
  "interest_over_time": {
    "timeline_data": [
      {
        "date": "Jan 3 - 9, 2021",
        "timestamp": "1609632000",
        "values": [
          { "query": "american football", "value": "100", "extracted_value": 100 }
        ]
      }
    ],
    "averages": [ { "query": "american football", "value": 68 } ]
  },
  "interest_by_region": [
    { "geo": "US-FL", "location": "Florida", "value": "100" }
  ],
  "related_queries": {
    "top": [ { "query": "nfl scores", "value": "100" } ],
    "rising": [ { "query": "nfl playoffs", "value": "Breakout" } ]
  }
}

See also

• Google SERP overview
• Response shape
• Google Trends categories list
• Geo parameter options list