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Seasonal Demand on Google Trends

Five years of weekly US search interest for seasonal products like air conditioners, heaters and sunscreen, so you can see when demand peaks.

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Google Trends Scraper: Interest Over Time, Regions & Queries
Google Trends Scraper: Interest Over Time, Regions & Querieshydrafetch/google-trends-scraper
Search
Geo
Range
Latest
+2 fields
Text
Number
Boolean
List
Object

Input

searches:air conditioner, space heater+1
Country or region:US
Time range:past-5-years

Output fields

Search
Geo
Range
Latest
Average
Points

How it works

Sign up on Apify or log in

The Google Trends Scraper: Interest Over Time, Regions & Queries Actor is ready to run with the inputs already set for "Seasonal Demand on Google Trends". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Seasonal Demand on Google Trends" task

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

Receive the "Seasonal Demand on 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 search, geo, range, 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 "Seasonal Demand on Google Trends" task via API.

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Integrate "Seasonal Demand on Google Trends" into your workflow

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