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Google Trends Interest for a Custom Date Range

Export Google Trends interest for a campaign or season. Replace black friday deals, the country and the YYYY-MM-DD YYYY-MM-DD date window. Open Interest over time for daily or weekly relative scores; the source chooses granularity. Rerun for another planning window and compare shapes, not absolute search volumes or independently scaled scores.

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Google Trends Scraper & Breakout Monitor
Google Trends Scraper & Breakout Monitorautoma-flow/google-trends-monitor
Bucket timestamp
Keyword
Relative value
Partial bucket
+5 fields
Text
Number
Boolean
List
Object

Input

Keywords:black friday deals
Location:US
Timeframe:2025-10-01 2025-12-31

Output fields

Bucket timestamp
Keyword
Relative value
Partial bucket
Has data
Location
Timeframe
Scaling context
Rows (compact storage)

How it works

Sign up on Apify or log in

The Google Trends Scraper & Breakout Monitor Actor is ready to run with the inputs already set for "Google Trends Interest for a Custom Date Range". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Trends Interest for a Custom Date Range" task

The Google Trends Scraper & Breakout Monitor 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 "Google Trends Interest for a Custom 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 bucket timestamp, keyword, relative value, 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 "Google Trends Interest for a Custom Date Range" task via API.

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