Build transcript corpora from YouTube videos
The Netaji
Extract timed segments and clean text from multiple YouTube videos in one run to build a searchable corpus for summarization, analysis and retrieval.
Input
Output fields
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The YouTube Transcript Scraper Actor is ready to run with the inputs already set for "Build transcript corpora from YouTube videos". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build transcript corpora from YouTube videos" task
The YouTube Transcript Scraper Actor will start running based on the input automatically. You can also change all the input fields, like video or shorts urls and ids, transcript language, and more, to match your specific use case.
Receive the "Build transcript corpora from YouTube videos" 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 video id, URL, language, 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 transcript corpora from YouTube videos" task via API.

Integrate "Build transcript corpora from YouTube videos" into your workflow
Connect "Build transcript corpora from YouTube videos" with 100+ integrations, or run it via API or MCP.
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