Track seasonal product demand in Google Trends
See when people search for seasonal products (air fryers, space heaters, pool floats) in the US and UK over 5 years. Spot demand peaks before you plan stock, ads or content.
Input
Output fields
Sign up on Apify or log in
The Google Trends Scraper — Reliable, No Charge for Failures Actor is ready to run with the inputs already set for "Track seasonal product demand in Google Trends". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Track seasonal product demand in Google Trends" task
The Google Trends Scraper — Reliable, No Charge for Failures Actor will start running based on the input automatically. You can also change all the input fields, like search terms, regions, and more, to match your specific use case.
Receive the "Track seasonal product demand in Google 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, geo, timeframe, 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 "Track seasonal product demand in Google Trends" task via API.

Integrate "Track seasonal product demand in Google Trends" into your workflow
Connect "Track seasonal product demand in Google Trends" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay
The Track seasonal product demand in Google Trends task tracks products like air fryers, space heaters, and pool floats.
The average interest value represents search popularity for a keyword on a scale from 0 to 100, indicating overall interest over the specified timeframe.
The peak interest value shows the highest recorded interest for a keyword during the specified timeframe, along with the date of that peak.
The task can target seasonal product demand in specific countries such as the US and the UK.
The task does not charge for failed keyword queries; any failed keyword will return an error row for free.
The comparedWith field lists the other keywords a result was compared against when 'Compare keywords against each other' is turned on; otherwise it is empty.