YouTube Video List Scraper（by keywords ）

What is YouTube Video List Scraper?

YouTube Video List 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 platform via keyword search. Using CoreClaw, you can obtain structured data with zero coding, helping with competitor analysis and user research.

What data can you extract from YouTube Video List Scraper?

How to scrape YouTube Video List via keywords?

CoreClaw YouTube Video List 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 Video List Scraper control panel
3. Enter search keywords
4. Set search pages
5. Click "Start" and let our cloud servers handle the scraping work
6. Download the dataset in JSON or CSV format

➡️ Input

Enter YouTube search keywords.

Example: tech reviews, food bloggers, gaming livestreams

Search Pages: Set the number of search result pages to scrape. For example, entering 2 will scrape all relevant content from page 1 and page 2.

⬅️ 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 keyword search:

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 search?

The tool will scrape all channel data in search results based on the set pages. Each page usually contains multiple channels, and data volume depends on the quantity of search results and set pages.

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 find top channels in target field?

Discover top channels through the following strategies:

• Precise Keywords: Use specific domain vocabulary for search, such as "Python tutorial", "fitness training"
• Multi-dimensional Search: Try different keyword combinations to expand search coverage
• Sort by Subscribers: Sort by subscriber count after scraping to quickly locate top channels
• Analyze Popular Videos: Judge channel quality and influence through popular video content

Can search results be used for market analysis?

Search results are very suitable for market analysis applications:

• Track Scale Assessment: Count search result quantity to assess competition intensity in target field
• Top Competitor Identification: Quickly locate high-influence channels in the field
• Content Direction Analysis: Understand market preferences through content types of popular channels
• Growth Opportunity Discovery: Identify unsaturated niche fields

Can use multiple keywords for simultaneous search?

Yes. Supports entering multiple keywords for search, or executing different keyword scraping tasks in batches, facilitating comprehensive coverage of channel ecosystem in target field.