YouTube Scraper

What is YouTube Scraper?

YouTube Scraper is a data extraction tool designed to batch collect video title, description, channel info, view count, likes, comments, duration, and other data from public YouTube videos via video ID. Using CoreClaw, you can obtain structured data with zero coding, helping with content analysis and data statistics.

• ✅ Video Basic Information - Automatically scrape video title, ID, link, thumbnail, release time, and other basic information
• ✅ Channel Profile Collection - Extract channel name, channel link, subscriber count, and other channel data
• ✅ Interaction Data Statistics - Obtain view count, likes, comments, and other interaction metrics
• ✅ Video Details Extraction - Scrape video description, duration, subtitles, monetization status, and other detailed data

What data can you extract from YouTube videos?

How to scrape YouTube video data via video ID?

CoreClaw YouTube 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 Scraper control panel
3. Enter YouTube video ID
4. Click "Start" and let our cloud servers handle the scraping work
5. Download the dataset in JSON or CSV format

➡️ Input

Enter YouTube video ID.

Example: 8RePenzQH80

(Dashboard input image example)

⬅️ 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 video data scraped using video ID:

Table Example

(Dashboard output image example)

JSON Example

(JSON output example)

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

What field information can be scraped from one video?

The tool will scrape complete public data from the video, including video title, ID, link, thumbnail, view count, release date, likes, release location, channel name, channel link, subscriber count, video duration, comments, video description, links in description, subtitles, monetization status, comment settings, etc.

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 video popularity?

Evaluate video popularity through the following data dimensions:

• View Count: Reflects the viewing scale and spread breadth of the video
• Like Count: Reflects audience recognition and preference for the content
• Comment Count: Shows the discussion heat sparked by the video
• Interaction Ratio: Ratio of comments and likes to view count, reflecting audience engagement

Can video data be used for content analysis?

Video data is very suitable for content analysis applications:

• Title Optimization: Analyze title keywords and expressions of similar videos
• Duration Strategy: Research optimal duration distribution of videos in different fields
• Release Timing: Analyze best release periods through release time data
• Channel Comparison: Compare content quality and interaction levels of different channels

Can batch scrape data from multiple videos?

Yes. Supports batch input of multiple video IDs to scrape complete data from multiple videos at once, facilitating batch analysis and data integration.