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Compare 10 sneaker brands on one Google Trends scale

Nike, Adidas, Puma, Asics, Reebok, New Balance, Under Armour, Fila, Vans and Converse – search interest in the US over 12 months on one scale (Google itself compares only 5 terms at once), with interest by state and related queries per brand.

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Google Trends API – Interest, Regions & Related
Google Trends API – Interest, Regions & Relateddatarelay/google-trends-api
Term
Geo
Time range
Status
+7 fields
Text
Number
Boolean
List
Object

Input

Search terms:nike+9
Comparison:together
Location:US

Output fields

Term
Geo
Time range
Status
Average
Peak
Peak date
Latest
Recent change %
Direction
Open in Google Trends

How it works

Sign up on Apify or log in

The Google Trends API – Interest, Regions & Related Actor is ready to run with the inputs already set for "Compare 10 sneaker brands on one Google Trends scale". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare 10 sneaker brands on one Google Trends scale" task

The Google Trends API – Interest, Regions & Related Actor will start running based on the input automatically. You can also change all the input fields, like search terms, comparison, and more, to match your specific use case.

Receive the "Compare 10 sneaker brands on one Google Trends scale" 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, geo, 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 "Compare 10 sneaker brands on one Google Trends scale" task via API.

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