
By entering keywords, batch extract public YouTube channel data, including channel name, subscriber count, video count, view count, description, popular videos, etc., outputting in CSV or JSON format. Supports competitor analysis, user research, zero-code operation, one-click export of structured data.
YouTube Data 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.
| 📺 Channel Name and ID | 🔗 Channel Link |
|---|---|
| 👥 Subscriber Count | 🎬 Total Videos |
| 👀 Total View Count | 📝 Channel Description |
| 🖼️ Channel Banner and Avatar | 📅 Registration Date |
| 🌍 Country/Region | 🔗 Third-Party Links |
CoreClaw YouTube Data 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:
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.
(Dashboard input image example)
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:
(Dashboard output image example)
(JSON output example)
If you need to scrape other types of data, CoreClaw offers the following professional toolsets optimized for different scraping scenarios.
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.
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.
Discover top channels through the following strategies:
Search results are very suitable for market analysis applications:
Yes. Supports entering multiple keywords for search, or executing different keyword scraping tasks in batches, facilitating comprehensive coverage of channel ecosystem in target field.
Explore more popular scrapers from our marketplace
by dataharvest
Extract Instagram posts, profiles, stories, and reels with comprehensive engagement metrics
by clockworks
Scrape tweets, user profiles, followers, and trending topics from Twitter/X platform
by videodata
Extract YouTube videos, channels, comments, and statistics without API limits
by bizdata
Collect LinkedIn profiles, company data, and job postings for business intelligence