Insights, tutorials, and updates from our team
Pull the text from every video in a YouTube playlist with one endpoint and a loop. Online courses, conference series, and podcast back catalogs become fully searchable — paginated, cheap (about 30 cents for a 200-video course on the annual plan), and fully automated.
By Nikhil Kumar
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YouTube is one of the largest qualitative datasets ever created. Researchers turn its 800M+ videos into searchable text for discourse analysis, sentiment work, and market research — here's how academics and analysts do it at scale, and the ethics to keep in mind.
By Nikhil Kumar
Side-by-side comparison of every major YouTube transcript API in 2026. Honest tradeoffs, pricing, speed, MCP-readiness, and where each one breaks at scale. Including 'when to choose someone else'.
By TranscriptAPI Team
youtube-transcript-api throwing 429s, IP blocks, or 'subtitles disabled'? Match your symptom to the diagnosis in 60 seconds. Plus the managed alternative.
By TranscriptAPI Team
A builder's idea bank from the team behind 14.7M monthly transcripts. 104 weekend-buildable ideas across 12 verticals, with a why-now thesis, evaluation framework, 11-step launch playbook, and FAQ.
By TranscriptAPI Team
Add YouTube transcripts to Cursor in 3 minutes via MCP. Step-by-step screenshots, full config, example prompts. Watch a tutorial, get the code suggestions in your editor.
By Nikhil Kumar
Add YouTube transcripts to any n8n workflow in 3 minutes. Includes downloadable JSON template, error handling pattern, and an optional AI summarization step.
By Nikhil Kumar
Get a YouTube transcript with timestamps in Node.js in under 5 minutes. Copy-paste working code, error handling, plus a bonus CSV export step.
By Nikhil Kumar
Pull transcripts from every video in a YouTube playlist with one script. Handles pagination, rate limits, and 1,000+ video playlists. Code in Python and Node.
By Nikhil Kumar
