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Find rising and breakout queries for a topic in a date range

Set a custom YYYY-MM-DD range and a region to get daily interest and the Top/Rising related queries (Breakout flags included) for each keyword — handy for post-campaign analysis, content ideas and seasonal planning.

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Google Trends Scraper: Interest Over Time, Regions & Related
Google Trends Scraper: Interest Over Time, Regions & Relatedmdcurt/google-trends-scraper
Dataset
Keyword
Geo
Range
+10 fields
Text
Number
Boolean
List
Object

Input

Keywords:taylor swift+1
Location:US-CA
Time range:2025-01-01 2025-06-30
Datasets:interestOverTime+1

Output fields

Dataset
Keyword
Geo
Range
Avg interest
Peak
Peak date
Latest
Regions
Top region
Top related
Rising
Trending title
Link

How it works

Sign up on Apify or log in

The Google Trends Scraper: Interest Over Time, Regions & Related Actor is ready to run with the inputs already set for "Find rising and breakout queries for a topic in a date range". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find rising and breakout queries for a topic in a date range" task

The Google Trends Scraper: Interest Over Time, Regions & Related Actor will start running based on the input automatically. You can also change all the input fields, like keywords, location, and more, to match your specific use case.

Receive the "Find rising and breakout queries for a topic in a date range" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as dataset, keyword, geo, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Find rising and breakout queries for a topic in a date range" task via API.

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