YouTube Channel Scraper - Videos

Scrape a YouTube channel's uploads as rows, without an API key: a channel answers to three names, an @handle, a channel link and a UC id, and all three work here, mixed however they came out of your spreadsheet. Each upload comes back as one flat row with the title, video id, watch link, channel, view count, age, runtime and thumbnail.

The thing to plan around: the counts and dates are the strings YouTube prints on the channel page. You get "90M views" and "8 days ago", never 90,041,233 and never a real timestamp, because the listing itself does not carry them.

Input	Channel links, @handles or UC ids
Output	One row per video: id, title, watch link, channel name and id, views, age and runtime as YouTube prints them, thumbnail
Ceiling	2,000 videos per run
Account needed	None
Price	$0.40 per 1,000 videos on the Free plan, a little less on paid plans. The free plan's $5 a month covers about 12,500

🔍 What YouTube Channel Scraper does

It resolves each channel you pass, opens its Videos tab, and walks the grid newest first until it has collected maxItems videos. No Google API key, and no OAuth screen or Cloud project.

maxItems is the budget for the whole run, and it is spent in the order you listed the channels. Three channels at 100 does not give you 100 each. If the first channel has enough uploads it takes the lot, so run one channel at a time when you want a fair split.

Videos are deduplicated by videoId across every channel in the run, so a video that appears twice is returned once and billed once.

📋 What data you get from each YouTube channel video

What you get	Field
The 11 character video id and the watch link	videoId, url
Title	title
The channel's title and its stable UC id	channelName, channelId
Views, as YouTube prints them	viewCountText
How long ago it went up	publishedTimeText
Runtime	lengthText
The largest thumbnail on offer	thumbnail
Always channel here, so rows merge with the other YouTube scrapers	mode

▶️ How to scrape a YouTube channel's videos

1. Open YouTube Channel Scraper and click Try for free.
2. Paste channels into Channels, one per line.
3. Set Max videos. Start at 50 while you look at the output.
4. Click Start.
5. Download the dataset as JSON, CSV or Excel, or read it over the Apify API.

Send at least one channel. A run with Channels empty fails rather than returning a polite row.

💰 How much does it cost to scrape a YouTube channel's videos?

$0.40 per 1,000 videos on the Free plan. Paid plans pay a little less: $0.395 on Starter, $0.39 on Scale and $0.385 on Business. On the free plan, the $5 Apify gives you each month covers about 12,500 videos.

You pay per video row delivered. Diagnostic rows and duplicates inside a run are never billed, so pointing it at a dead handle delivers no charged rows. A full 2,000 videos come to 80 cents.

📥 What you give it

{
  "channelUrls": ["@MrBeast", "https://www.youtube.com/@mkbhd", "UCX6OQ3DkcsbYNE6H8uQQuVA"],
  "maxItems": 500
}

Field	Default	What it is
channelUrls	none	Channel links, @handles or bare UC ids, mixed freely. The form opens with @MrBeast as an example. If a handle will not resolve, pass the full link or the UC id.
maxItems	50	Total videos across the whole run, 1 to 2,000. This is also your spend cap.
notionConnector, notionParentId	none	Optional. Write each video into a Notion database as well as the dataset.
proxyConfiguration	Apify default	Leave it alone unless you have your own servers you want the run to go out through.

📤 What you get back

A real row from a real run, with the thumbnail link cut short:

{
  "ok": true,
  "videoId": "gTKS8SAwUzE",
  "title": "I Survived The Most Extreme Places On Earth",
  "url": "https://www.youtube.com/watch?v=gTKS8SAwUzE",
  "channelName": "MrBeast",
  "channelId": "UCX6OQ3DkcsbYNE6H8uQQuVA",
  "viewCountText": "90M views",
  "publishedTimeText": "8 days ago",
  "lengthText": "23:28",
  "thumbnail": "https://i.ytimg.com/vi/gTKS8SAwUzE/hq720_custom_2.jpg?sqp=...",
  "mode": "channel"
}

Field	How to read it
videoId	Use it as your key across runs.
channelId	Join on this rather than the name.
viewCountText	"90M views" as the page renders it. Rounded by YouTube, not by us.
publishedTimeText	"8 days ago". Relative, and relative to when the run read the page.
lengthText	"23:28". Empty on a live stream or a premiere, which has no duration yet.

🧾 Reading the output

Two kinds of row land in your dataset.

Row	How to spot it	Billed
A video	ok: true	yes
A diagnostic	ok: false and an errorCode	no

Filter on ok == true and you have your data. A channel that fails gets its own row, and the run moves on to the next channel.

Code	What it means
BAD_INPUT, NOT_FOUND	That channel could not be resolved.
RATE_LIMITED, SERVER_ERROR, NETWORK	That channel would not answer this run. Re-running usually clears it.
NOT_SERVED	This video was not served this run. Re-run it later. Until 12 October 2026 this code was called BLOCKED.
NO_RESULTS	The whole run found nothing.
TIME_LIMIT	The run got close to its time limit and stopped on its own. The videos delivered before that are in the dataset and charged as usual. Give the run more time, or ask for fewer videos, to get the rest.

A run ends as failed only when the time limit stopped it before any video came back.

One quirk of the Overview table: it shows the video columns only, so a diagnostic row reads as a blank line there. Open the row or download the JSON to see the errorCode.

💡 What people use it for

• Listing a channel's recent uploads as rows, then digging into only the videos worth the extra call.
• Checking how often a rival channel actually ships, by reading publishedTimeText down the list.
• Collecting video links for the comments or transcript actors.
• Keeping a weekly snapshot of a channel and comparing the view-count strings between runs.

From a list of channels to the active ones and their audience, in three runs:

1. Run this on the channels you are considering, one at a time, and read publishedTimeText down each list to see who still posts.
2. Put the active ones into YouTube Upload Monitor to hear about each new upload.
3. Run YouTube Comments Scraper on their newest videos to read what viewers say.

🚧 What it does not do

• No exact view counts and no real dates. "90M views" cannot be turned back into the real figure. Parsing it into an approximate number is a one-liner; recovering the exact one is not possible from this page.
• The Videos tab only. Shorts and live streams that the channel files elsewhere are not read here. YouTube Shorts Scraper covers Shorts.
• No descriptions, likes, comments, transcripts or subscriber counts. Those are separate actors.
• Newest first, with no resume. There is no offset, so a channel with 10,000 uploads gives you its latest maxItems every run, not the next page.
• The budget is spent in input order. A busy first channel can leave nothing for the last one.
• A channel it could not read looks like a channel with no uploads. Both give you zero rows and no per channel diagnostic, so check the run log if a channel you expected comes back empty.
• An empty channelUrls fails the run rather than returning an explanatory row.
• It is not an official YouTube tool. Dami's Studio is independent and is not affiliated with or endorsed by YouTube or Google, or by any other company named on this page.

🧭 Which YouTube scraper do you need?

If you want	Use
A channel's uploads, up to 2,000 per run	This one
Keyword search results, or a channel's newest uploads	YouTube Scraper
Shorts from a channel or a keyword, with exact view and like counts	YouTube Shorts Scraper
Only the new uploads since your last check	YouTube Upload Monitor
Every video in a playlist	YouTube Playlist Scraper
Transcripts for a whole channel or playlist in one run	YouTube Transcript Bulk Scraper
Comments under a video	YouTube Comments Scraper

❓ Questions people ask

Do I need a YouTube or Google account?

No. Nothing here is signed in.

Is maxItems per channel?

No, per run, and it is spent in the order you listed them. One channel per run is the clean way to get a fixed number from each.

Can I page through a channel's whole history?

Not past 2,000 in one run, and there is no offset to resume from. You always get the newest maxItems.

How do I spot Shorts in the results?

lengthText is the practical signal, though the Videos tab normally holds no Shorts at all.

Can I call it from code or connect it to an AI assistant?

Yes. The API tab has ready-made code for Python, JavaScript and the command line. For Claude, ChatGPT or another MCP client, connect https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/youtube-channel-scraper. Either way the run happens on your Apify account at the same price.

Is scraping a YouTube channel legal?

This reads public channel pages, nothing signed in. Results can still contain personal data, which GDPR and similar laws cover, so have a reason for collecting it. Apify's write-up on the legality of web scraping is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Include the channel you used and the run ID, and the log is enough for us to see what happened.