Google Shopping Trends for Product Research
See which products shoppers search for on Google Shopping before you stock, launch or advertise. This example compares air fryers, standing desks and robot vacuums over 12 months in the US, with weekly interest, interest by state and top and rising related queries. Swap in your own products, country or time range. You're charged only for keywords whose data came back.
Input
Output fields
Sign up on Apify or log in
The Google Trends API: Reliable Interest, Regions & Related Queries Actor is ready to run with the inputs already set for "Google Shopping Trends for Product Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Google Shopping Trends for Product Research" task
The Google Trends API: Reliable Interest, Regions & Related Queries Actor will start running based on the input automatically. You can also change all the input fields, like keywords, comparison groups, and more, to match your specific use case.
Receive the "Google Shopping Trends for Product Research" 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 keywords, status, location, 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 for Product Research" task via API.
Integrate "Google Shopping Trends for Product Research" into your workflow
Connect "Google Shopping Trends for Product Research" with 100+ integrations, or run it via API or MCP.
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