​

Web Scraping Overview

Learn about the web scraping capabilities and how to extract data from websites effectively.

​

Features

Our web scraping nodes provide:

• Automated data extraction
• Dynamic content handling
• Rate limiting and politeness
• Proxy support
• Data parsing and cleaning

​

Available Nodes

​

Extract Content

• Basic HTML extraction
• Dynamic JavaScript content
• Form submission
• Authentication handling

​

Bulk Operations

• Multiple URL processing
• Concurrent scraping
• Queue management
• Error handling

​

Data Processing

• Content parsing
• Data cleaning
• Format conversion
• Validation

​

Best Practices

1. Respect robots.txt
2. Implement rate limiting
3. Handle errors gracefully
4. Use appropriate headers
5. Cache when possible

​

Example Usage

​

Basic Scraping

{
  "url": "https://example.com",
  "selectors": {
    "title": "h1",
    "content": ".main-content",
    "links": "a[href]"
  }
}

​

Advanced Configuration

{
  "url": "https://example.com",
  "config": {
    "wait_for": ".dynamic-content",
    "timeout": 5000,
    "proxy": {
      "enabled": true,
      "rotation": true
    },
    "headers": {
      "User-Agent": "Custom Bot 1.0",
      "Accept-Language": "en-US"
    }
  }
}

​

Rate Limiting

Configure scraping speeds:

{
  "rate_limit": {
    "requests_per_second": 2,
    "concurrent_requests": 5,
    "delay_between_requests": 500
  }
}

​

Error Handling

Common scenarios:

• Network timeouts
• Rate limiting
• Blocked requests
• Invalid selectors
• Parse errors

​

Data Validation

Validate extracted data:

{
  "validation": {
    "required_fields": ["title", "price"],
    "format": {
      "price": "number",
      "date": "ISO8601"
    },
    "constraints": {
      "title": {
        "min_length": 5,
        "max_length": 200
      }
    }
  }
}

​

Security Considerations

1. Handle sensitive data appropriately
2. Respect website terms of service
3. Implement proper authentication
4. Use secure connections
5. Monitor for blocking/detection