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Find Seasonal Demand Spikes for a Topic

Extract multi-year Google search interest for a topic to spot recurring seasonal peaks and troughs with source-linked trend records.

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Google Trends Scraper — Interest, Regions & Queries
Google Trends Scraper — Interest, Regions & Querieskhadinakbar/google-trends-scraper
Record Type
Keyword
Date
Interest Value
+9 fields
Text
Number
Boolean
List
Object

Input

Keywords:home workout
Geographic Region:US
Timeframe:today 5-y
Property / Search Type:web
Category ID:0
Data Types to Extract:interest_over_time
Max Results:10
Output Format:flat

Output fields

Record Type
Keyword
Date
Interest Value
Geography
Region Name
Related Query
Topic Title
Trending Search Title
Traffic (Formatted)
Is Rising
Scraped At
Source URL

How it works

Sign up on Apify or log in

The Google Trends Scraper — Interest, Regions & Queries Actor is ready to run with the inputs already set for "Find Seasonal Demand Spikes for a Topic". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find Seasonal Demand Spikes for a Topic" task

The Google Trends Scraper — Interest, Regions & Queries Actor will start running based on the input automatically. You can also change all the input fields, like keywords, geographic region, and more, to match your specific use case.

Receive the "Find Seasonal Demand Spikes for a Topic" 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 record type, keyword, date, 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 Seasonal Demand Spikes for a Topic" task via API.

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