Apify Youtube Transcripts LLM Training Data
Build LLM training data from YouTube transcripts in bulk with the Apify Actor johnvc/YoutubeTranscripts. Feed it an array of video URLs and get one clean row per video, with non_timestamped transcript text ready for tokenization, timestamped snippets, language_code, and provenance metadata (title, channel_name, upload_date, view_count) for dataset documentation. Filter by language or translate every transcript into one target language for a consistent corpus. Use when the user wants LLM training data from videos, a fine-tuning or RAG corpus from YouTube, bulk YouTube transcripts for machine le
Install
npx skills add johnisanerd/claude-skill-youtube-transcripts-llm-training-data --skill apify-youtube-transcripts-llm-training-datagit clone --depth 1 https://github.com/johnisanerd/claude-skill-youtube-transcripts-llm-training-data.git /tmp/claude-skill-youtube-transcripts-llm-training-data
mkdir -p ~/.claude/skills
cp -r /tmp/claude-skill-youtube-transcripts-llm-training-data/apify-youtube-transcripts-llm-training-data ~/.claude/skills/apify-youtube-transcripts-llm-training-dataPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# YouTube Transcripts as LLM Training Data Turn a list of YouTube videos into a clean text corpus for LLM fine-tuning, RAG, or analysis. One run takes an array of URLs and returns one row per video: the full transcript as a single text field, plus the provenance metadata (title, channel, upload date, views) a documented dataset needs. ## When to use this skill - The user wants LLM training data, a fine-tuning corpus, or RAG documents sourced from YouTube videos. - They want bulk transcripts from a channel dump, a playlist export, or a keyword-collected URL list. - They want spoken-video content as text without running their own speech-to-text. - They need a single-language corpus from mixed-language sources (translate everything to one target). Not for: discovering which videos to include (collect URLs first; see the chain table in `references/actor-index.md`), videos without caption tracks (those return error rows), or verbatim audio ground truth (captions are YouTube's own tracks, not fresh ASR). ## What you get (one row per video)
Details
- Skill name
apify-youtube-transcripts-llm-training-data- Path
apify-youtube-transcripts-llm-training-data/SKILL.md- Repo updated
- 17 July 2026
- Listed in
- karanb192/awesome-claude-skills
FAQ
What does the Apify Youtube Transcripts LLM Training Data skill do?
Build LLM training data from YouTube transcripts in bulk with the Apify Actor johnvc/YoutubeTranscripts. Feed it an array of video URLs and get one clean row per video, with non_timestamped transcript text ready for tokenization, timestamped snippets, language_code, and provenance metadata (title, channel_name, upload_date, view_count) for dataset documentation. Filter by language or translate every transcript into one target language for a consistent corpus. Use when the user wants LLM training data from videos, a fine-tuning or RAG corpus from YouTube, bulk YouTube transcripts for machine le
How do I install the Apify Youtube Transcripts LLM Training Data skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add johnisanerd/claude-skill-youtube-transcripts-llm-training-data --skill apify-youtube-transcripts-llm-training-data. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
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