YouTube Channel Scraper - Transcripts

YouTube Channel Scraper — Extract Videos, Transcripts & Posts

YouTube channel scraper that reads a channel's entire public catalogue — long-form videos, Shorts, live streams and community posts — and extracts the spoken transcript of every targeted video: timed caption lines, language, auto-generated flag, word count, words per minute and keyword hits. Every response is typed, normalized JSON — no HTML, no selectors, no parsing. Point it at a channel URL or @handle and you get one flat dataset you can query, index, or hand straight to an LLM.

What is YouTube Channel Scraper - Transcripts?

YouTube Channel Scraper - Transcripts is an Apify Actor that scrapes a YouTube channel's public surfaces and reads the words spoken in its videos. It works from a channel URL, @handle, or bare UC… channel ID — it does not search YouTube by keyword, so every input must already resolve to a channel. No Google account, API key, or login is required; the Actor reads YouTube's public web and InnerTube surfaces directly.

• 🏠 Scrape the channel profile — description, join date, subscriber text, lifetime views, verification badge
• 🎬 Scrape videos, Shorts and live/past streams, each with exact view and like counts
• 💬 Scrape community posts, including images, polls and attached videos
• 🗣️ Transcribe targeted videos: timed lines, language, human vs auto-generated, word count, words per minute, keyword hits
• 📦 Export as JSON or CSV, or any format the Apify dataset supports

What data does YouTube Channel Scraper - Transcripts collect?

The Actor returns six row types in one dataset, each tagged with a stable rowType so they can be filtered or split without guessing:

Data Type	Key Fields	JSON Field Names
Channel profile	name, subscribers, description, join date	channelName, numberOfSubscribers, channelDescription, channelJoinedDate, isChannelVerified
Videos	title, exact views, likes, duration	videoId, title, viewCount, likesCount, duration, publishedTimeText
Shorts	title, exact views, duration	same columns as videos, rowType: "short"
Live & past streams	live flag, concurrent viewers	isLive, isUpcoming, concurrentViewersText
Community posts	text, images, poll, attached video	postType, textContent, imageUrls, pollOptions, attachedVideoId
Video transcripts	timed lines, language, word count, keyword hits	transcriptLines, transcriptText, transcriptLanguage, transcriptWordCount, transcriptKeywordHits

Need more YouTube data?

If you need engagement spikes inside a video's own timeline rather than a channel's catalogue, API-Empire also publishes Youtube Most Replayed Scraper & Video Chapters for the "most replayed" heatmap and chapter markers. If you need to discover videos across many channels by hashtag or keyword instead of scraping one channel at a time, YouTube Video Scraper by Hashtag With Exact Engagement Stats covers that search surface.

How does YouTube Channel Scraper - Transcripts differ from the official YouTube API?

The YouTube Data API v3 requires an API key or OAuth project and a default quota of 10,000 units/day for most calls (a single search.list call alone costs 100 units), and its captions.download method "requires the user to have permission to edit the video" — so a developer can only pull captions for videos they own, never for another channel's uploads (Google for Developers, checked 2026-08-04). This Actor reads any public channel's videos and their captions directly, with no key, quota, or ownership requirement.

Feature	YouTube Data API v3	This Actor
Setup	Google Cloud project, API key or OAuth consent screen	Paste a channel URL, click Start
Daily quota	10,000 units/day default (search.list costs 100 units/call)	No platform-imposed request quota — capped by your own maxResults / maxTranscriptVideos inputs
Transcript access	captions.download needs OAuth + edit permission on that exact video	Reads captions for any public video on the channel, no ownership needed
Community posts / Shorts	No documented resource for the Community tab or Shorts-specific metadata	Both returned as dedicated post and short rows
Output shape	Raw API objects; joining channel, video and caption data is your own code	One flat row per entity, already linked by parentId

The official API is the right choice if you already have edit access to the channel and only need its own owner-side data. Use this Actor when you need another channel's public catalogue and transcripts without an API key, quota, or ownership relationship.

Why do developers and teams scrape YouTube channels?

For AI engineers and agent builders

A channel's transcripts are ready-made grounding text: transcriptText and transcriptLines[] (with startMs per line) let you chunk a video by timestamp, embed it, and cite the exact moment a claim was made when a RAG pipeline answers a question. Because every row is typed JSON with stable field names, an agent can call this Actor as a tool, request transcriptSources: ["videos"] for a channel, and pass transcriptText straight into an LLM context window — no HTML parsing step between the scrape and the model.

For marketers and brand teams

transcriptKeywords turns every transcript into a sponsorship and mention tracker: list your brand, a competitor, or a campaign term, and each transcript row returns hitCount, firstStartMs and firstLineText per keyword — the exact line and timestamp of the first mention, across as many channels as you list in startUrls. Combined with viewCount (the exact integer, not "2.2M"), this turns "who mentioned us and how many people saw it" into one query.

For researchers and analysts

Academic and market researchers can build a searchable, quotable archive of what a public creator has actually said, at scale, from public data only — no login, no scraping of private or member-only content. transcriptWordsPerMinute and transcriptDurationSeconds give a pacing metric per video, and transcriptIsAutoGenerated flags which channels publish human-reviewed captions versus machine-generated ones, useful for studying caption quality or accessibility practices across a channel list.

For developers building data products

Because every row shares the same base columns (viewCount, duration, publishedTimeText) whether it is a video, a Short, or that video's transcript, you can build a monitoring pipeline on a schedule (Apify Schedules) that watches a channel list and only needs to join on videoId / parentId — not reconcile three different naming conventions for the same fact.

How to scrape a YouTube channel (step by step)

1. Open YouTube Channel Scraper - Transcripts on the Apify Store and click Try for free (or Start, if you already have it in your account).
2. Provide the required input: startUrls — one or more channel URLs, @handles, or bare UC… IDs, one per line.
3. Set which surfaces to collect (scrapeVideos, scrapeShorts, scrapeLiveStreams, scrapePosts, scrapeChannelInfo) and whether to transcribe (videoTranscripts, transcriptSources, maxTranscriptVideos).
4. Start the run. Keep the default RESIDENTIAL proxy on — transcript availability drops close to zero on datacenter IPs.
5. Download the results as JSON or CSV from the run's dataset, or pull them with the Apify API / apify_client.

What to do when YouTube changes its page structure

This Actor is maintained, and its output schema is designed to stay stable: field names and types don't change on your end even when YouTube's internal page layout does. No specific turnaround time is promised for any given fix.

What changed in YouTube scraping recently?

Since 2025, YouTube has required a cryptographic proof-of-origin token ("PoToken", generated by BotGuard) on caption tracks whose baseUrl carries an exp=xpe parameter — without it, the raw timedtext endpoint returns an HTTP 200 with an empty body instead of an error, a change that broke unauthenticated caption tools relying on that endpoint (tracked in the youtube-transcript-api and yt-dlp issue trackers). Separately, YouTube has been migrating channel-page grids from the older gridVideoRenderer / videoRenderer renderers to a lockupViewModel format, which broke parsers written only against the legacy renderers (also tracked in yt-dlp's issue tracker).

For DIY scrapers, both changes mean silent breakage: a script written against the old renderer or the plain timedtext URL doesn't error, it just returns nothing. This Actor reads channel grids through both the legacy renderers and lockupViewModel, and reads transcripts through the youtube_transcript_api library (routed through the run's residential proxy) with a fallback to the ANDROID InnerTube player's own timedtext URL — and it reports a playerStatus on every row so a genuinely empty response can't be confused with a live one. No specific timeline is promised for whatever YouTube changes next; the Actor is maintained as these surfaces shift.

⬇️ Input

startUrls is the only required field. Every other input has a working default — a run with just startUrls set will scrape the channel's videos, Shorts, live streams, posts, profile and transcribe up to 5 videos.

Parameter	Required	Type	Description	Example Value
startUrls	Yes	array	Channel URLs (https://www.youtube.com/@Handle or .../channel/UC…), bare @handles, or bare UC… channel IDs. One per line. No keyword search — every entry must resolve to a channel.	["https://www.youtube.com/@MKBHD"]
maxResults	No	integer (1–1000)	Upper limit for each enabled section (videos, Shorts, live streams, posts) per channel. Every video-type item costs one extra request for its exact view/like count.	10
videoTranscripts	No	boolean	Emit one transcript row per targeted video, linked to its parent row by parentId. Turn off to run as a plain channel scraper.	true
transcriptSources	No	array (videos, shorts, live)	Which collected items to transcribe, taken in the order listed, until maxTranscriptVideos is reached.	["videos"]
maxTranscriptVideos	No	integer (1–50)	Hard cap on transcript fetches per channel. Each one costs 2 requests.	5
transcriptLanguage	No	string	Two-letter code (en, es, de, ja…). Empty = the video's own default track. transcriptLanguage in the output reports the track actually read, never the one requested.	""
preferManualCaptions	No	boolean	Prefer the human-written track over auto-generated when both exist.	true
includeTranscriptSegments	No	boolean	Add transcriptLines[], the timed caption segments.	true
transcriptAsPlainText	No	boolean	Add transcriptText, the caption lines joined into one string.	true
onlyVideosWithTranscript	No	boolean	Drop video/Short/livestream rows on the transcribed surfaces whose captions could not be read; other surfaces are untouched.	false
transcriptKeywords	No	array	Case-insensitive whole-word terms to count inside the spoken words; each transcript row returns a hit count plus the timestamp of the first mention.	["sponsor", "giveaway"]
sortOrderVideos	No	string enum (date, viewCount, oldest, title, rating, relevance)	Which of YouTube's own Videos-tab sort chips to use. rating maps to Popular, relevance maps to Latest, title sorts A→Z inside the run.	"date"
scrapeChannelInfo	No	boolean	Emit one channel row: description, join date, country, subscriber text, lifetime views, video count, avatar, banner, links, verification badge.	true
scrapeVideos	No	boolean	Emit one row per upload from the Videos tab, with exact view/like counts.	true
scrapeShorts	No	boolean	Emit one row per Short. Channels without a Shorts tab return none.	true
scrapeLiveStreams	No	boolean	Emit one row per item on the Live tab. Channels without a Live tab return none.	true
scrapePosts	No	boolean	Emit one row per community post, including image, poll and video attachments.	true
proxyConfiguration	No	object	Apify Proxy, attached to every request including caption fetches.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"}

Example input:

{
  "startUrls": ["https://www.youtube.com/@MKBHD"],
  "maxResults": 10,
  "videoTranscripts": true,
  "transcriptSources": ["videos"],
  "maxTranscriptVideos": 5,
  "transcriptLanguage": "",
  "preferManualCaptions": true,
  "includeTranscriptSegments": true,
  "transcriptAsPlainText": true,
  "onlyVideosWithTranscript": false,
  "transcriptKeywords": ["camera", "battery"],
  "sortOrderVideos": "date",
  "scrapeChannelInfo": true,
  "scrapeVideos": true,
  "scrapeShorts": true,
  "scrapeLiveStreams": true,
  "scrapePosts": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Common pitfall: turning off proxyConfiguration (or switching it off RESIDENTIAL) to save proxy cost. Channel pages and video pages still load, but caption requests from datacenter IPs come back LOGIN_REQUIRED almost every time — you'll get full channel data and empty transcripts, with no obvious error to explain why.

⬆️ Output

Every run pushes typed, normalized JSON rows to an Apify dataset — one row per entity, distinguished by rowType (channel, video, short, livestream, post, transcript). Download as JSON, CSV, Excel, or any format the Apify dataset export supports. No dataset column is ever named after an input value (e.g. there is no channel_1_videos column) — every row of every channel shares the same schema.

Channel profile row (rowType: "channel")

{
  "rowType": "channel",
  "channelId": "UCBJycsmduvYEL83R_U4JriQ",
  "channelName": "Marques Brownlee",
  "channelUsername": "@mkbhd",
  "channelUrl": "https://www.youtube.com/@mkbhd",
  "numberOfSubscribers": "21.1M",
  "inputUrl": "https://www.youtube.com/@MKBHD",
  "scrapedAt": "2026-08-04T09:12:03+00:00",
  "order": 1,
  "title": "Marques Brownlee",
  "url": "https://www.youtube.com/@mkbhd",
  "channelDescription": "MKBHD: Videos on technology...",
  "channelJoinedDate": "Mar 21, 2008",
  "channelLocation": "United States",
  "channelAvatarUrl": "https://yt3.ggpht.com/...",
  "channelBannerUrl": "https://yt3.googleusercontent.com/...",
  "channelDescriptionLinks": [{ "text": "Instagram", "url": "https://instagram.com/mkbhd" }],
  "channelTotalVideos": 1980,
  "channelTotalVideosText": "1,980 videos",
  "channelTotalViews": 4218345021,
  "viewCountText": "4,218,345,021 views",
  "isChannelVerified": true,
  "availableTabs": ["Home", "Videos", "Shorts", "Live", "Posts", "About"],
  "isChild": false,
  "parentId": null,
  "transcriptsAttempted": 5,
  "transcriptsAvailable": 5,
  "transcriptsNoCaptions": 0,
  "transcriptsBlockedOrThrottled": 0,
  "transcriptAvailability": "5/5"
}

viewCount stays null on the channel row — lifetime channel views are carried in channelTotalViews (exact) and viewCountText (YouTube's own string) instead, so the column always means "this item's view count," never overloaded with a channel-level total.

Video / Short / livestream row (rowType: "video" | "short" | "livestream")

{
  "rowType": "video",
  "channelId": "UCBJycsmduvYEL83R_U4JriQ",
  "channelName": "Marques Brownlee",
  "channelUsername": "@mkbhd",
  "channelUrl": "https://www.youtube.com/@mkbhd",
  "numberOfSubscribers": "21.1M",
  "inputUrl": "https://www.youtube.com/@MKBHD",
  "scrapedAt": "2026-08-04T09:12:03+00:00",
  "order": 1,
  "videoId": "Z6z_feacXW8",
  "title": "Galaxy Z Fold 8 Review: Honeymoon's Over",
  "url": "https://www.youtube.com/watch?v=Z6z_feacXW8",
  "duration": "11:35",
  "thumbnailUrl": "https://i.ytimg.com/vi/Z6z_feacXW8/hqdefault.jpg",
  "viewCount": 2279452,
  "viewCountText": "2.2M views",
  "likesCount": 98214,
  "publishedTimeText": "3 weeks ago",
  "publishedAt": "2026-07-14",
  "isChild": false,
  "parentId": null,
  "transcriptStatus": "OK",
  "transcriptAvailable": true,
  "transcriptSource": "youtube_transcript_api",
  "transcriptLanguage": "en",
  "transcriptLanguageName": "English",
  "transcriptIsAutoGenerated": false,
  "transcriptTrackCount": 7,
  "transcriptLineCount": 318,
  "transcriptWordCount": 2296,
  "transcriptCharCount": 12646,
  "transcriptDurationSeconds": 688.92,
  "transcriptWordsPerMinute": 200.0,
  "transcriptKeywordTotalHits": 1,
  "transcriptMatchedKeywords": ["camera"]
}

isLive, isUpcoming and concurrentViewersText are added on livestream rows only. The transcript* summary columns above appear on every video/short/livestream row — set to real values when that item was a transcript target, or to transcriptStatus: "NOT_TARGETED" ("NOT_REQUESTED" when videoTranscripts is off) with transcriptAvailable: false when it was not.

Community post row (rowType: "post")

{
  "rowType": "post",
  "channelId": "UCBJycsmduvYEL83R_U4JriQ",
  "channelName": "Marques Brownlee",
  "channelUsername": "@mkbhd",
  "channelUrl": "https://www.youtube.com/@mkbhd",
  "numberOfSubscribers": "21.1M",
  "inputUrl": "https://www.youtube.com/@MKBHD",
  "scrapedAt": "2026-08-04T09:12:03+00:00",
  "order": 1,
  "postId": "UgkxAbCDeF",
  "postType": "poll",
  "title": "Which camera wins?",
  "url": "https://www.youtube.com/post/UgkxAbCDeF",
  "textContent": "Which camera wins?",
  "imageUrls": [],
  "pollOptions": ["Option A", "Option B"],
  "pollTotalVotesText": "12,483 votes",
  "attachedVideoId": null,
  "likesCount": 5321,
  "likesCountText": "5.3K",
  "commentsCountText": "412",
  "publishedTimeText": "2 days ago",
  "isChild": false,
  "parentId": null
}

Transcript row (rowType: "transcript", one per transcribed video)

{
  "rowType": "transcript",
  "channelId": "UCBJycsmduvYEL83R_U4JriQ",
  "channelName": "Marques Brownlee",
  "channelUsername": "@mkbhd",
  "channelUrl": "https://www.youtube.com/@mkbhd",
  "numberOfSubscribers": "21.1M",
  "inputUrl": "https://www.youtube.com/@MKBHD",
  "scrapedAt": "2026-08-04T09:12:03+00:00",
  "isChild": true,
  "parentId": "Z6z_feacXW8",
  "parentType": "video",
  "title": "Galaxy Z Fold 8 Review: Honeymoon's Over",
  "url": "https://www.youtube.com/watch?v=Z6z_feacXW8",
  "duration": "11:35",
  "viewCount": 2279452,
  "viewCountText": "2.2M views",
  "publishedTimeText": "3 weeks ago",
  "publishedAt": "2026-07-14",
  "transcriptStatus": "OK",
  "transcriptAvailable": true,
  "transcriptSource": "youtube_transcript_api",
  "transcriptTrackCount": 7,
  "transcriptAvailableLanguages": [
    { "languageCode": "en", "name": "English", "isAutoGenerated": false },
    { "languageCode": "pt", "name": "Portuguese", "isAutoGenerated": false }
  ],
  "transcriptLanguage": "en",
  "transcriptLanguageName": "English",
  "transcriptIsAutoGenerated": false,
  "transcriptLineCount": 318,
  "transcriptCharCount": 12646,
  "transcriptWordCount": 2296,
  "transcriptDurationSeconds": 688.92,
  "transcriptWordsPerMinute": 200.0,
  "transcriptKeywordTotalHits": 1,
  "transcriptMatchedKeywords": ["camera"],
  "transcriptKeywordHits": [
    { "keyword": "camera", "hitCount": 1, "firstStartMs": 161721, "firstLineText": "Like, look at this camera UI." }
  ],
  "transcriptText": "Sometimes, to find something truly new, it has to come from ...",
  "transcriptLines": [
    { "startMs": 1799, "durationMs": 2233, "lineText": "Sometimes, to find something truly new," }
  ],
  "playerStatus": "OK"
}

transcriptKeywordHits only appears when transcriptKeywords is non-empty; transcriptText only when transcriptAsPlainText is on; transcriptLines only when includeTranscriptSegments is on. The transcript row restates its parent's title, url, duration, viewCount, viewCountText, publishedTimeText and publishedAt in the same base columns used everywhere else — there is no separate video_* block, so viewCount means the same thing on every row in the dataset.

How does YouTube Channel Scraper - Transcripts compare to other YouTube scrapers?

Feature	This Actor	Generic alternative
Output format	Typed JSON, stable field names across every row type	Often raw HTML fragments or ad hoc JSON that needs custom parsing
Entity coverage	Channel profile, videos, Shorts, live streams, community posts and transcripts, one row model	Usually videos or channel metadata only
Transcript access	Reads manual and auto-generated captions with per-line timing, language and word-count metrics	Not typically offered, or limited to whatever a single library surface returns
Input flexibility	Channel URL, @handle or bare channel ID; per-surface toggles; keyword spotting inside transcripts	Usually a single URL field
Proxy / anti-bot handling	Apify Proxy attached to every request including caption calls, with automatic rotation on throttle signals	Varies; often no built-in rotation, so throttled runs fail silently

If you're building an AI agent or RAG pipeline, the output-format row is the decision-maker — parsing HTML inside an agent loop is a reliability failure mode, not a feature.

How many results can you scrape with YouTube Channel Scraper - Transcripts?

maxResults caps each enabled surface (videos, Shorts, live streams, posts) at up to 1,000 items per channel, and maxTranscriptVideos separately caps transcript fetches at up to 50 per channel — both are this Actor's own ceilings, not YouTube's. Pagination inside a surface follows YouTube's own continuation tokens until maxResults is reached or the channel runs out of items, with an internal safety stop after 220 continuation pages per surface so a run can never loop forever on a token YouTube keeps re-issuing. There is no result cap on how many channels you can list in startUrls — each one runs independently. No benchmark run time is quoted, since it depends on how many surfaces and transcripts you request per channel.

Integrate YouTube Channel Scraper - Transcripts and automate your workflow

YouTube Channel Scraper - Transcripts works with any language or tool that can send an HTTP request, through the Apify API.

REST API integration

from apify_client import ApifyClient

client = ApifyClient("<APIFY_API_TOKEN>")
run = client.actor("<your-username>/youtube-channel-scraper-transcripts").call(
    run_input={
        "startUrls": ["https://www.youtube.com/@MKBHD"],
        "maxResults": 10,
        "videoTranscripts": True,
        "maxTranscriptVideos": 5,
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rowType"], item.get("title"), item.get("transcriptStatus"))

Works in Python, Node.js, Go, Ruby, cURL.

Automation platforms (n8n, Make, LangChain)

In n8n, use the Apify node's Run Actor operation with this Actor's ID and your run input, then feed the resulting dataset items into downstream nodes. In Make, the Apify app's Run an Actor module does the same, returning the dataset for the next module in the scenario. In LangChain or a custom agent framework, call this Actor through the Apify API (or the apify_client SDK) as a tool, and pass the typed JSON rows — transcriptText in particular — straight into your chain without an intermediate parsing step.

⚖️ Is it legal to scrape YouTube?

Scraping publicly available data from YouTube is generally lawful. YouTube Channel Scraper - Transcripts returns only what is already publicly visible on a channel's Videos, Shorts, Live and Community tabs and in public caption tracks — nothing behind a login, a members-only paywall, or a private setting; members-only and private videos come back as UNPLAYABLE with no transcript. Because channel profiles, community posts and video transcripts can contain personal data about an identifiable person (a creator's name, likeness, or opinions spoken on camera), GDPR (EU) and CCPA (California) may govern how you store and use what you collect, the same way they would for scraping any public social profile. Consult legal counsel for commercial use cases involving bulk personal data.

❓ Frequently asked questions

Does YouTube Channel Scraper - Transcripts work without a YouTube account?

Yes. No Google account, API key, OAuth token, or cookies are required — the Actor reads YouTube's public web and InnerTube surfaces directly. A residential proxy (the default) is strongly recommended for reliable transcript reads, but is not an account credential.

How often is the scraped data updated?

Every run fetches live data directly from YouTube at the moment it runs — nothing is cached or served from a previous run. Run it on a schedule (Apify Schedules) if you need repeated snapshots over time.

Why is a video's transcript missing?

Check transcriptStatus on that row: NO_CAPTIONS means the video publishes no caption track at all; UNPLAYABLE means it's members-only, private, or region-locked; LOGIN_REQUIRED or an HTTP_xxx status means the request was throttled — rerun with the residential proxy on, or lower maxTranscriptVideos. The Actor never fabricates transcript text; a failed read is always null plus a status, never invented words.

Can I scrape private or members-only YouTube content?

No. Only publicly accessible channels, videos, Shorts, streams and posts are returned. A members-only or private video is detected via its playabilityStatus and comes back as UNPLAYABLE with a null transcript, not scraped content.

Do I need to configure my own proxy?

No — Apify Proxy is built in and attached to every request, including caption fetches, with the default already set to RESIDENTIAL / US. You can supply your own proxy URLs instead if you have them, but there is no separate proxy infrastructure to run yourself.

Does YouTube Channel Scraper - Transcripts work for AI agent workflows and LLM pipelines?

Yes. It's callable as an HTTP endpoint through the Apify API by any agent framework, and every response is typed JSON — transcriptText and transcriptLines[] can be passed directly into an LLM context window or indexed into a vector store with no parsing step.

How does it handle YouTube's anti-bot system?

The run attaches the configured Apify Proxy to every request, including caption calls, and rotates to a fresh exit IP whenever it sees a throttle signal — a non-200 response, or the HTTP-200-with-LOGIN_REQUIRED pattern YouTube uses to throttle anonymous caption traffic without ever returning an error status. A failed channel fetch is retried once on a fresh proxy session before it's reported as a failure. Transcripts are fetched through two independent surfaces (the youtube_transcript_api library, then the ANDROID InnerTube player's own timedtext URL) so one surface being blocked doesn't end the attempt.

How does YouTube Channel Scraper - Transcripts compare to other YouTube scrapers?

See the comparison table above — the main differences are transcript access with per-line timing, six linked entity types in one row model instead of just video metadata, and proxy handling built specifically around YouTube's HTTP-200 throttle pattern.

Does it return data in a format LLMs can use directly?

Yes. Every row is typed, normalized JSON with stable field names — no HTML, no selectors, no parsing step before passing it to an LLM, a RAG index, or an agent tool call.

Can I use YouTube Channel Scraper - Transcripts without managing proxies?

Yes. Apify Proxy is attached automatically with a working RESIDENTIAL / US default; you never need to source, rotate, or pay for proxies separately to run this Actor.

What happens when YouTube changes its structure or blocks the scraper?

The Actor is maintained, and its output schema is designed to stay stable — field names and types don't change on your end even when YouTube's internal markup does. No numeric turnaround time is promised for any specific fix.

💬 Your feedback

Found a bug or missing a field? We want to know. Open an issue through the Actor's page on the Apify Store, or reach out via Apify's support channels — reports like this are how the Actor stays working as YouTube's own pages change.