YouTube Channel Scraper(by URL)

What is YouTube Channel Scraper?

YouTube Channel Scraper is a data extraction tool designed to batch collect channel name, subscriber count, video count, view count, description, popular videos, and other data from public YouTube profiles via URL. Using CoreClaw, you can obtain structured data with zero coding, helping with competitor analysis and user research.

• ✅ Channel Information Extraction - Automatically scrape channel name, subscriber count, video count, view count, and other basic information
• ✅ Channel Profile Collection - Extract channel description, banner, avatar, registration date, country/region, and other profile data
• ✅ Popular Video Scraping - Obtain channel popular video list, including title, link, view count, and release date
• ✅ Third-Party Link Collection - Collect social media and third-party platform links associated with the channel

What data can you extract from YouTube channels?

How to scrape YouTube channel data via channel URL?

CoreClaw YouTube Channel Scraper handles proxy rotation, task scheduling, data standardization, and final delivery for you in the background. In just a few minutes, you can obtain data through the following steps:

1. Create a free CoreClaw account using your email
2. Open the YouTube Channel Scraper control panel
3. Enter YouTube URL
4. Click "Start" and let our cloud servers handle the scraping work
5. Download the dataset in JSON or CSV format

➡️ Input

Enter YouTube channel link.

Example: https://www.youtube.com/@mrbeast

⬅️ Output

For your convenience, output results are displayed in tables and tabs. You can choose to download results in CSV/JSON format. Here is an example of channel data scraped using channel URL:

JSON Example

[
  {
    "url": "https://www.youtube.com/@mrbeast",
    "handle": "@MrBeast",
    "handle_md5": "dd748d5dfc88b91ea388429c3c685874",
    "banner_img": "https://yt3.googleusercontent.com/5KWiriZZ_KEoEdSMFTJKj2M6vR_XSiRZeQ-ix0cvG3TGZuGoi8sfAjrSiZAP0GzXBkmF8ZGytw=w2560-fcrop64=1,00005a57ffffa5a8-k-c0xffffffff-no-nd-rj",
    "profile_image": "https://yt3.googleusercontent.com/nxYrc_1_2f77DoBadyxMTmv7ZpRZapHR5jbuYe7PlPd5cIRJxtNNEYyOC0ZsxaDyJJzXrnJiuDE=s160-c-k-c0x00ffffff-no-rj",
    "name": "MrBeast",
    "subscribers": "433M subscribers",
    "Description": "SUBSCRIBE FOR A COOKIE!
New MrBeast or MrBeast Gaming video every single Saturday at noon eastern time!
Accomplishments:
- Raised $20,000,000 To Plant 20,000,000 Trees
- Removed 30,000,000 pounds of trash from the ocean
- Helped 2,000 people walk again
- Helped 1,000 blind people see
- Helped 1,000 deaf people hear
- Built wells in Africa
- Built and gave away 100 houses
- Adopted every dog in a shelter (twice)
- Given millions to charity
- Started my own snack company Feastables
- Started my own software company Viewstats
- Started Lunchly, a tasty, better-for-you lunch option
- Gave away a private island (twice)
- Gave away 1 million meals
- I counted to 100k
- Ran a marathon in the world's largest shoes
- Survived 50 hours in Antarctica
- Recreated Squid Game in real life
- Created the largest competition show with 1000 people (Beast Games)
- Gave $5,000,000 to one person
- Passed T-Series to become most subscribed YouTube channel 🥹
you get it, I appreciate all of you so much :)
",
    "videos_count": "897 videos",
    "created_date": "Joined Feb 19, 2012",
    "views": "94,660,385,358 views",
    "Details": "United States",
    "Links": [
      "linktr.ee/mrbeast",
      "teamwater.org",
      "instagram.com/mrbeast",
      "twitter.com/MrBeast",
      "facebook.com/mrbeast"
    ],
    "identifier": "UCX6OQ3DkcsbYNE6H8uQQuVA",
    "id": "UCX6OQ3DkcsbYNE6H8uQQuVA",
    "has_podcast": null,
    "top_videos": [
      {
        "image_url": "https://i.ytimg.com/vi/0e3GPea1Tyg/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB&rs=AOn4CLBlA4hqAq4i39E-7ftigKDiraJahA",
        "posted_time": "3 years ago",
        "title": "$456,000 Squid Game In Real Life!",
        "video_url": "https://www.youtube.com/watch?v=0e3GPea1Tyg",
        "views": "873,771,522 views"
      }
    ],
    "input": {
      "spider_errors": true,
      "proxy_region": "us",
      "url": "https://www.youtube.com/@mrbeast",
      "user_id": 3096,
      "pay_num": 1,
      "user_input_id": "youtube_profiles_by-url",
      "spider_item": {},
      "spider_url": "https://www.youtube.com/@mrbeast"
    },
    "error": null,
    "error_code": null
  }
]

Explore Other YouTube Data Scrapers

If you need to scrape other types of data, CoreClaw offers the following professional toolsets optimized for different scraping scenarios.

FAQ

How much data can be scraped from one channel?

The tool will scrape complete public data from the channel, including all basic information and popular video list. Data volume depends on the completeness of the channel's public information.

How to handle errors during scraping?

The tool supports detailed error feedback and intelligent retry mechanisms. When scraping anomalies occur, the service will return a response containing error codes and detailed prompt information. For temporary errors, the service defaults to automatic retry.

How to evaluate a channel's influence?

Evaluate channel influence through the following data dimensions:

• Subscriber Count: Reflects the channel's fan scale and audience base
• Video Count: Shows the channel's content output frequency and activity level
• Popular Video Performance: View count and interaction data of high-quality content
• Channel Age: Registration time length reflects operational stability

Can channel data be used for competitor analysis?

Channel data is very suitable for competitor analysis applications:

• Fan Comparison: Compare subscription scale and growth trends of competitor channels
• Content Strategy Analysis: Understand competitor's content direction through popular videos
• Update Frequency Research: Analyze competitor's publishing patterns and content output rhythm
• Third-Party Associations: Identify competitor's social media layout and channel integration

Can batch scrape data from multiple channels?

Yes. Supports batch input of multiple channel URLs to scrape complete data from multiple channels at once, facilitating horizontal comparison and analysis.