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Monitor competitor brands' Google search interest by US state

Five brands in one category (running shoes in the example) → for each: 12 months of weekly interest with average, peak week and latest value, the ranking of all US states, and the top and rising related queries with Breakout flags that show new product launches. Swap in your own brands and geo; schedule it weekly with mdcurt/dataset-diff-monitor to be alerted on breakouts.

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Google Trends Scraper: Interest Over Time, Regions & Related
Google Trends Scraper: Interest Over Time, Regions & Relatedmdcurt/google-trends-scraper
Dataset
Keyword
Geo
Range
+10 fields
Text
Number
Boolean
List
Object

Input

Keywords:hoka+4
Location:US
Time range:today 12-m
Datasets:interestOverTime+2

Output fields

Dataset
Keyword
Geo
Range
Avg interest
Peak
Peak date
Latest
Regions
Top region
Top related
Rising
Trending title
Link

How it works

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The Google Trends Scraper: Interest Over Time, Regions & Related Actor is ready to run with the inputs already set for "Monitor competitor brands' Google search interest by US state". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor competitor brands' Google search interest by US state" task

The Google Trends Scraper: Interest Over Time, Regions & Related 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 "Monitor competitor brands' Google search interest by US state" 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 dataset, keyword, geo, 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 "Monitor competitor brands' Google search interest by US state" task via API.

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