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Google Shopping trends: compare products over 5 years

Compare Google Shopping search interest for kitchen products in the United Kingdom over 5 years, to time stock and promotions on seasonal peaks.

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Google Trends Scraper API: Interest, Regions & Queries
Google Trends Scraper API: Interest, Regions & Queriesplainrows/google-trends-explorer
Search
Keyword
Row type
Date
+11 fields
Text
Number
Boolean
List
Object

Input

Searches (keywords to compare)(required):air fryer, stand mixer, espresso machine
Country:GB
Time range:past_5_years
Search type:shopping
Interest by region:false
Related queries and topics:false

Output fields

Search
Keyword
Row type
Date
Value
Partial
Region
List
Rank
Related query
Topic
Rising %
Location
Found
Note

How it works

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The Google Trends Scraper API: Interest, Regions & Queries Actor is ready to run with the inputs already set for "Google Shopping trends: compare products over 5 years". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Shopping trends: compare products over 5 years" task

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

Receive the "Google Shopping trends: compare products over 5 years" 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, keyword, row type, 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 "Google Shopping trends: compare products over 5 years" task via API.

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