Build a ranked YouTube video corpus from public charts
Khadin Akbar
Collect a structured public dataset of charted videos for creator-market analysis and editorial research workflows.
Input
Output fields
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The YouTube Trending Videos Scraper Actor is ready to run with the inputs already set for "Build a ranked YouTube video corpus from public charts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a ranked YouTube video corpus from public charts" task
The YouTube Trending Videos Scraper Actor will start running based on the input automatically. You can also change all the input fields, like countries, trending chart, and more, to match your specific use case.
Receive the "Build a ranked YouTube video corpus from public charts" 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 chart rank, video url, video title, 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 "Build a ranked YouTube video corpus from public charts" task via API.
Integrate "Build a ranked YouTube video corpus from public charts" into your workflow
Connect "Build a ranked YouTube video corpus from public charts" with 100+ integrations, or run it via API or MCP.
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