Go to example tasks
Historical tracking of Google Trends
Created by
Goutam Soni
Run on a schedule and keep each dated dataset to build a history of how Google Trends change over time. Configured with a cap of 50.
Google Trends Scrapergoat255/google-trends-scraper
Type
Keyword
Term
Geo
+9 fieldsTextNumberBooleanListObject
Input
Keywords (interest over time):coffee
Geo for keywords:US
Time range:today 12-m
Output fields
Type
Keyword
Term
Geo
Rank
Interest
Volume
Growth %
Articles
Date
Started
Related
URL
Sign up on Apify01
Create your Apify account to access the Google Trends Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
