Cheerio Web Scraping

What is Cheerio Web Scraper?

Cheerio Web Scraper is a high-speed web scraping tool powered by Cheerio, built specifically for handling static HTML pages. Unlike crawlers that require full browser rendering, it only parses HTML source code without executing JavaScript, resulting in lightning-fast performance with minimal resource consumption. With CoreClaw, you can scrape static web pages without writing any code, powering use cases like content collection, data analysis, SEO auditing, and data backup.

• ✅ Blazing Fast - Uses Cheerio for HTML parsing, 10-50x faster than browser-based scrapers
• ✅ Custom Extraction - Supports custom JavaScript functions for flexible data extraction
• ✅ Smart Link Discovery - Automatically discovers and follows page links with depth control
• ✅ URL Pattern Filtering - Precise URL filtering using Glob patterns and regex
• ✅ Concurrency Control - Configurable concurrent requests for improved efficiency
• ✅ Auto Proxy - Connects to remote browsers via CDP, handling proxies automatically
• ✅ Resource Optimization - Automatically blocks images, CSS, fonts, and other resources to save bandwidth
• ✅ Low Resource Usage - No full browser needed, minimal memory footprint

What Data Can You Extract with Cheerio?

How to Scrape with Cheerio Web Scraper?

CoreClaw Cheerio Web Scraper handles proxy connection, HTML parsing, link discovery, data extraction, and result organization in the background. In just a few minutes, you can get your data through these steps:

1. Create a free CoreClaw account with your email
2. Open the Cheerio Web Scraper control panel
3. Enter the starting URL list
4. Configure crawl parameters (depth, page count, concurrency, filter patterns, etc.)
5. Write custom page functions (optional, for extracting specific data)
6. Click "Start" and let our cloud servers do the scraping work
7. Download the cleaned dataset in JSON format

➡️ Input

Main Parameters

Usage Examples

Example 1: Basic Crawling

• Start URL: https://example.com
• Max depth: 1
• Max pages: 10
• Result: Crawl start page and its first-level link pages, extract basic data

Example 2: Deep Crawling with Filtering

• Start URL: https://example.com/blog
• URL match pattern: https://example.com/blog/*
• Exclude patterns: /tag/, /author/, *.pdf
• Max depth: 3
• Max pages: 50
• Result: Crawl blog article pages, excluding tag pages, author pages, and PDF files

Example 3: Custom News List Extraction

• Start URL: https://news.ycombinator.com/
• Max depth: 0 (crawl start page only)
• Custom page function: Extract news titles and links
• Result: Extract news list from Hacker News homepage

Example 4: Extract Table Data

• Start URL: https://example.com/data
• Custom page function: Extract table row data
• Result: Convert web table into structured JSON data

Example 5: High-Concurrency Crawling

• Start URL: https://example.com
• Max concurrency: 10
• Max pages: 100
• Result: Use high concurrency to quickly crawl multiple pages

⬅️ Output

For easy viewing, output results are displayed in tables and tabs. You can choose to download results in JSON format.

Output Description

Each crawled page will output the following data:

Default Fields

• url - Page URL
• title - Page title
• description - Meta description
• h1 - First H1 tag text
• text - Page text content (first 1000 characters)
• depth - Crawl depth
• statusCode - HTTP status code
• linksFound - Number of links found

Custom Data

• Custom data extracted via pageFunction

Sample Data:

{
  "url": "https://example.com/page",
  "title": "Page Title",
  "description": "Page description text",
  "h1": "Main Heading",
  "text": "Page text content...",
  "depth": 1,
  "statusCode": 200,
  "linksFound": 45,
  "customData": {
    "articles": [
      {
        "title": "Article Title",
        "link": "https://example.com/article/1",
        "summary": "Article summary"
      }
    ]
  }
}

FAQ

What's the difference between Fast Static Page Scraper and Browser Scraper?

Use Fast Static Page Scraper for static websites; use Browser Scraper for dynamic websites and SPAs.

How to set crawl depth?

For most scenarios, depth 1-2 is sufficient.

What are the use cases?

• Content Collection - Quickly collect static content like blogs, news, and documents
• SEO Auditing - Extract SEO elements like page titles, descriptions, and H1 tags
• Data Analysis - Batch scrape static web pages for analysis
• Data Backup - Backup website static content
• Price Monitoring - Monitor price information on static pages
• Competitor Analysis - Analyze competitor website static content
• Website Migration - Migrate static website content
• Content Aggregation - Aggregate static content from multiple sources

What to do about timeout errors?

For unstable websites, increase timeout and retry attempts appropriately.

Is scraping data legal?

Our Fast Static Page Scraper only publicly accesses websites and extracts visible HTML content. Users using scraped data should comply with the terms of service and agreements of target websites, and is recommended for legitimate business analysis and research purposes only.