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Find the seasonal peak of e-commerce products

Shows 5 years of weekly Google Trends interest in the US for five seasonal products (air fryer, heated blanket, pool float, Halloween costume, Christmas lights), each on its own 0-100 scale. Use the peak date and the timeline to plan stock, ads and launches before demand starts. Replace the products with your own.

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Google Trends Scraper API & Trending Now
Google Trends Scraper API & Trending Nowegra_van/google-trends-reliable
Term
Group
Resolution
Period
+5 fields
Text
Number
Boolean
List
Object

Input

Search terms:air fryer+4
Comparison mode:separate
Location:US
Time range:today 5-y

Output fields

Term
Group
Resolution
Period
Average
Latest
Latest date
Points
Timeline

How it works

Sign up on Apify or log in

The Google Trends Scraper API & Trending Now Actor is ready to run with the inputs already set for "Find the seasonal peak of e-commerce products". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find the seasonal peak of e-commerce products" task

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

Receive the "Find the seasonal peak of e-commerce products" 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, group, resolution, 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 "Find the seasonal peak of e-commerce products" task via API.

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