How to get transcripts from an entire YouTube channel

Most transcript tools stop at one video. Here is a reliable, repeatable way to pull transcripts from every video on a YouTube channel, using a list call plus a batch fetch.
Most transcript tools stop at a single video. Paste a URL, get one transcript, repeat. That falls apart the moment you want to analyze a creator's full catalog, build a searchable archive, or feed a channel into a language model. This guide shows a reliable, repeatable way to pull transcripts from every video on a YouTube channel.
The approach has two steps: list the channel's videos, then fetch transcripts for those video IDs in bulk. We will use the TranscriptFetch API, but the pattern works with any backend that can list a channel and return captions.
TL;DR: Use TranscriptFetch’s YouTube Transcript API to list channel videos with pagination and fetch their transcripts in batches. Save successful results and track each video’s outcome, including pending audio jobs and failures. Keep processed IDs so later runs collect new uploads without rebuilding the archive.
Doing it this way means you never paste URLs by hand, and you can re-run the job to pick up new uploads.
The channel listing endpoint accepts a handle like @veritasium, a channel ID like UCHnyfMqiRRG1u-2MsSQLbXA, or a normal channel URL.
The response includes a videos array. Each entry carries the video ID, title, and URL:
You can request up to 50 videos per call. For a large back catalog, page through the channel by making repeated calls and collecting IDs until you have the full set.
Once you have the IDs, send them to the batch endpoint. It accepts up to 50 IDs per request and fetches them concurrently, so a full page of a channel comes back in seconds.
Each result contains the transcript text, timestamped segments, and an outcome flag:
Here is a small script that turns a channel handle into a folder of transcript files. It lists the channel, chunks the IDs into batches of 50, and writes each transcript to disk.
Not every video has captions. Live streams, music videos, and some older uploads return an outcome of no_transcript. The API does not charge for those, so you only pay for transcripts you actually receive. Your code should check the outcome field rather than assuming text is always present.
Each successful transcript costs one credit. Failed or empty fetches are free. Requests are rate limited per account by plan, and the batch endpoint counts as one request regardless of how many videos it contains. For a 200 video channel that is roughly 200 credits and four batch calls.
If you would rather not write a script, connect the MCP server to Claude, Cursor, or ChatGPT and ask in plain language:
Pull the latest 30 videos from @veritasium and summarize the recurring themes.
The assistant lists the channel and fetches the transcripts for you using the same endpoints described above. Same data, no glue code.
Getting transcripts for an entire channel is not one big magic call. It is a list step followed by a batch step, wrapped in a loop. Once you have that pattern, archiving a creator's full catalog or keeping an index fresh becomes a scheduled job rather than an afternoon of copy and paste. The natural next step is feeding those transcripts into a RAG pipeline.
The transcript API for YouTube, TikTok and Instagram.
© 2026 The Casey CompanyRetrieves publicly available video transcripts. Respect creators and each platform's Terms of Service.