Compare Brand Search Interest on Google
AnglerCrawl
Analyze the search interest for major sports brands in the U.S. This task provides insights into the popularity of Nike, Adidas, Puma, New Balance, and Asics, measured over the past 12 months. Discover which brand trends highest in consumer interest today, backed by real-time Google data.
Input
Output fields
Sign up on Apify or log in
The Google Trends Scraper Actor is ready to run with the inputs already set for "Compare Brand Search Interest on Google". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Compare Brand Search Interest on Google" task
The Google Trends Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search terms, compare terms on one scale, and more, to match your specific use case.
Receive the "Compare Brand Search Interest on Google" 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 search term, 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 "Compare Brand Search Interest on Google" task via API.
The task compares search interest for Nike, Adidas, Puma, New Balance, and Asics in the U.S.
The task provides average interest, peak interest, peak date, latest interest, and trend change percentage.
The task analyzes search interest data over the past 12 months, enabling insights into brand popularity.
The 'status' field shows if Google returned data: 'ok' means data was found, 'noData' means none was available, and 'failed' indicates the request could not be completed.
Automatic scheduling is available through the Apify Console for this task.
Yes, API access can be used to run this task programmatically.
The data collected can be output as JSON, CSV, or Excel format.