YouTube Channel Scraper

Latest videos from any YouTube channel plus the channel profile: subscribers, total views, country, join date, and links.

For agencies, brands, and analysts who track creators. Every run tells you plainly what worked and what did not: no silent empty runs.

What you can do with it

• Creator vetting: check subscribers, channelViews, and posting frequency before a deal.
• Competitor channels: get every new video with views on a schedule.
• Influencer lists: export channel country, links, and description.

What you get

Field	What it is	Example
input	The handle or URL you submitted.	@mkbhd
type	video, channel, or error.	video
channelHandle	Normalized @handle.	@mkbhd
channelName	Display name.	Marques Brownlee
channelId	YouTube channel id when present.	UCBJycsmduvYEL83R_U4JriQ
channelUrl	youtube.com/@handle or /channel/UC… URL.	https://www.youtube.com/@mkbhd
subscribers	Subscriber count when YouTube showed one.	21400000
videoCount	Total videos on the channel when present.	1859
channelViews	Lifetime channel views when present.	5782176119
channelDescription	The channel's About text.	MKBHD: Quality Tech Videos | YouTuber | Geek | Consumer Electronic…
channelThumbnailUrl	Channel profile picture URL.	https://yt3.googleusercontent.com/qu4TmIaYUlS41-dJ9gZ7DUR3nilvmB5_11i…
channelCountry	Country shown on the channel's About page.	United States
channelJoinedDate	Date the channel was created (YYYY-MM-DD).	2008-03-21
channelLinks	Links listed on the channel, as title + URL.	[{"title": "Twitter", "url": "https://twitter.com/…, …]
position	1-based index of this video in the returned list.	1
videoId	11-character YouTube video id.	scwlR0QHGOk
url	Watch URL.	https://www.youtube.com/watch?v=scwlR0QHGOk
title	Video title.	The NEW Tesla Roadster: My Honest Reaction
views	Video view count when present.	625000
duration	Video length when YouTube shows it on the channel page. Often empty: the channel video list does not always include it.
publishedTime	Relative or absolute publish time as returned.	2h ago
publishedDateApprox	Date computed from the relative upload time on the day of the run (YYYY-MM-DD). Approximate for week, month, and year values.	2026-10-17
thumbnailUrl	Video thumbnail URL (standard YouTube thumbnail).	https://i.ytimg.com/vi/scwlR0QHGOk/hqdefault.jpg

Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.

One row per video, up to Videos per channel (max 50).

How to use it

1. Click Try for free (or Start) on this page.
2. Enter one channel handle per line in the first field. The form is prefilled with a working example.
3. Optional: set Max results and the other options.
4. Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.

Example input

{
  "channelHandles": [
    "@mkbhd"
  ],
  "limit": 5,
  "maxResults": 5
}

Example output

One real row from a run on 17 October 2026 (long values shortened here):

{
  "input": "@mkbhd",
  "type": "video",
  "channelHandle": "@mkbhd",
  "channelName": "Marques Brownlee",
  "channelId": "UCBJycsmduvYEL83R_U4JriQ",
  "channelUrl": "https://www.youtube.com/@mkbhd",
  "subscribers": 21400000,
  "videoCount": 1859,
  "channelViews": 5782176119,
  "channelDescription": "MKBHD: Quality Tech Videos | YouTuber | Geek | Consumer Electronics | Tech Head | Internet Personality!\n\nbusiness@MKBHD.com\n\nNYC",
  "channelThumbnailUrl": "https://yt3.googleusercontent.com/qu4TmIaYUlS41-dJ9gZ7DUR3nilvmB5_11i6OKSdvNnBNiyOusZP1bMN6ICnuxtjFBb6ioKgRQ=s900-c-k-c0x00ffffff-no-rj",
  "channelCountry": "United States",
  "channelJoinedDate": "2008-03-21",
  "channelLinks": [
    {
      "title": "Twitter",
      "url": "https://twitter.com/MKBHD"
    },
    {
      "title": "Instagram",
      "url": "https://instagram.com/MKBHD"
    },
    {
      "title": "The Studio",
      "url": "https://youtube.com/c/TheStudio"
    },
    "…"
  ],
  "position": 1,
  "videoId": "scwlR0QHGOk",
  "url": "https://www.youtube.com/watch?v=scwlR0QHGOk",
  "title": "The NEW Tesla Roadster: My Honest Reaction",
  "views": 625000,
  "duration": null,
  "publishedTime": "2h ago",
  "publishedDateApprox": "2026-10-17",
  "thumbnailUrl": "https://i.ytimg.com/vi/scwlR0QHGOk/hqdefault.jpg"
}

Pricing

Pay per result: $1.00 per 1,000 rows, plus $0.001 per run start. No subscription.

Event	When	Price
Actor start	Once per run (per GB of memory; the default 256 MB counts as one)	$0.001
Result row	Each row saved to the dataset	$0.001

Example	Rows	Cost
10 videos	10	$0.001 + $0.01 = $0.011
100 videos	100	$0.001 + $0.10 = $0.101
1,000 videos	1,000	$0.001 + $1.00 = $1.001

• Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
• An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
• Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

What you can count on

• Same columns on every row. Missing values are null, so spreadsheets and databases never break.
• No silent failures. An input that fails gets an error row with errorCode and a plain-language errorMessage. The other inputs keep running.
• A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the RUN_SUMMARY record in the run's key-value store, for automations.
• Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
• Limits respected. Max results and your spending limit stop the run cleanly.

Use it from code, automations, and AI agents

API (returns the rows when the run finishes):

curl -X POST "https://api.apify.com/v2/acts/datacortex~youtube-channel-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"channelHandles": ["@mkbhd"], "limit": 5, "maxResults": 5}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datacortex/youtube-channel-scraper").call(run_input={"channelHandles": ["@mkbhd"], "limit": 5, "maxResults": 5})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('datacortex/youtube-channel-scraper').call({"channelHandles": ["@mkbhd"], "limit": 5, "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

AI agents (MCP): add https://mcp.apify.com?tools=datacortex/youtube-channel-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

Limitations

• Video length is often empty: the channel video list does not always include it.
• Upload dates are computed from "2h ago" style text, so older dates are approximate.

FAQ

What do I enter? A handle like @mkbhd or a channel URL like https://www.youtube.com/@mkbhd.

What does an error row mean? It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.

Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

Related Actors

• YouTube Search Scraper: YouTube search results by keyword.
• YouTube Metadata Scraper: Full metadata for YouTube videos by ID or URL.

Support

Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.