Seasonal product demand from Google Shopping trends
Plan stock and campaigns around real demand. This task pulls five years of Google Shopping search interest for "air fryer" in the US, showing seasonal peaks, the overall trend and rising related product searches. Swap in your own products to time promotions and inventory.
Input
Output fields
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The Google Trends Scraper: Interest, Regions, Related & Trending Actor is ready to run with the inputs already set for "Seasonal product demand from Google Shopping trends". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Seasonal product demand from Google Shopping trends" task
The Google Trends Scraper: Interest, Regions, Related & Trending Actor will start running based on the input automatically. You can also change all the input fields, like keywords, search type, and more, to match your specific use case.
Receive the "Seasonal product demand from Google Shopping 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 keyword, 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 "Seasonal product demand from Google Shopping trends" task via API.
Integrate "Seasonal product demand from Google Shopping trends" into your workflow
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