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Plan Seasonal Content with Google Trends

Explore five years of US Google search interest to plan seasonal content. Replace air conditioner with your topic and choose a country. Export the timeline to inspect recurring peaks, then rerun for another topic or planning cycle. Scores are relative interest, not search volumes or forecasts; the current period may be incomplete.

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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:air conditioner
Location:US
Timeframe:today 5-y

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 "Plan Seasonal Content with Google Trends". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Plan Seasonal Content with Google Trends" 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 "Plan Seasonal Content with Google Trends" 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 "Plan Seasonal Content with Google Trends" task via API.

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