Google Trends Scraper
The Google Trends Scraper collects interest-over-time data for specific search keywords, based on location and date range. It returns a time series showing how popularity changes over time, directly from Google Trends.
This scraper job is asynchronous. You’ll receive a jobId
, and can fetch results via polling or webhook delivery.
Example Request
Job Parameters
List of search terms to track interest over time, e.g. ["ai tools", "machine learning"]
Two-letter country code or worldwide
for global results. Examples:
US
— United StatesDE
— GermanyIN
— IndiaBR
— Brazilworldwide
— Global trends across all regions
Time range to analyze. Supported values:
now 1-H
— Past hournow 4-H
— Past 4 hoursnow 1-d
— Past daynow 7-d
— Past 7 daystoday 1-m
— Past 30 daystoday 3-m
— Past 90 daystoday 12-m
— Past 12 monthstoday 5-y
— Past 5 yearsall
— From 2004 to present
Getting Results
Webhooks
Receive real-time updates when your scraper job starts, completes, or collects data.
Results API
Use the Results API to fetch your data using the jobId
, with support for polling and pagination.
Stopping a Job
Cancel an active scraper job early if it’s no longer needed or you want to save credits.