Today's Trending Google Searches by Country
AnglerCrawl
Access today's most popular Google searches segmented by country, including the US, India, and Great Britain. This task delivers real-time insights into what users are currently interested in, directly from Google Trends. Stay informed about the latest trends and the rising topics capturing public interest today.
Input
Output fields
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The Google Trends Scraper Actor is ready to run with the inputs already set for "Today's Trending Google Searches by Country". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Today's Trending Google Searches by Country" task
The Google Trends Scraper Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape and countries for trending now, to match your specific use case.
Receive the "Today's Trending Google Searches by Country" 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 country, rank, trending search, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Today's Trending Google Searches by Country" task via API.

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The task returns the country, rank, trending search term, estimated search volume, start time of the trend, image source, related news articles, and the status of the request.
It is the two-letter code of the country the search is trending in, such as US, IN or GB. Trending now always needs at least one country.
The approxTraffic field provides Google's estimated search volume for the trending search, aiding in understanding its popularity.
The task can be scheduled to run automatically through the Apify Console for consistent data retrieval.
The task is accessible via the Apify API, allowing for integration with other applications or systems.
The status field indicates whether data was successfully retrieved (ok), if no data was available (noData), or if the request failed (failed).