Coursera transcripts for RAG / LLM training
Build a clean Coursera lecture-transcript dataset (text + segments) for RAG pipelines, fine-tuning, and semantic search.
Input
Output fields
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The Coursera Transcript Scraper — Lecture Subtitles (No Login) Actor is ready to run with the inputs already set for "Coursera transcripts for RAG / LLM training". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Coursera transcripts for RAG / LLM training" task
The Coursera Transcript Scraper — Lecture Subtitles (No Login) Actor will start running based on the input automatically. You can also change all the input fields, like transcript formats, max lectures per course, and more, to match your specific use case.
Receive the "Coursera transcripts for RAG / LLM training" 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 course, lecture, lang, 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 "Coursera transcripts for RAG / LLM training" task via API.
Integrate "Coursera transcripts for RAG / LLM training" into your workflow
Connect "Coursera transcripts for RAG / LLM training" with 100+ integrations, or run it via API or MCP.
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