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Five-year seasonality of a product on Google Trends

Returns five years of Google Trends interest for a keyword, to see when demand peaks each year.

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Google Trends Scraper: Interest Over Time & Rising Queries
Google Trends Scraper: Interest Over Time & Rising Queriescharitable_trousseau/google-trends-scraper
Term
Location
Time range
Average
+7 fields
Text
Number
Boolean
List
Object

Input

Search terms:snow tires
Location:CA
Time range:today 5-y
Data to collect:interestOverTime

Output fields

Term
Location
Time range
Average
Peak
Peak date
Latest
Top related queries
Rising related queries
Trending now
On Google Trends

How it works

Sign up on Apify or log in

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

Start the "Five-year seasonality of a product on Google Trends" task

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

Receive the "Five-year seasonality of a product 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 term, location, time 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 "Five-year seasonality of a product on Google Trends" task via API.

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