Documentation

Web Scraping Agent

The Web Scraping Agent component provides powerful web scraping capabilities for extracting structured data from websites. It enables automated collection of information from web pages using configurable scraping settings and extraction rules.

Web Scraping Agent Component

Web Scraping Agent interface

Component Inputs

  • URL: Website URL to scrape

    The target URL from which to extract data

  • Scraper Type: Type of scraping method (default: HTML)

    Defines the scraping approach and parsing method

  • Output Format: Format for the scraped data (default: Clean Text)

    Determines how the scraped content is formatted and returned

  • Language Model: AI model for content processing

    Optional AI model to process or enhance scraped content

  • Extraction Schema: JSON schema for targeted data extraction

    Defines the structure of data to be extracted

  • Chunk Size: Size of content chunks for processing (default: 1000)

    Controls how scraped content is segmented

  • Chunk Overlap: Overlap between content chunks (default: 200)

    Controls continuity between segments

Component Outputs

  • Scraped Data: The extracted content from the website
  • Extracted Data: Structured data based on the extraction schema

Use Cases

  • Data Collection: Gather information from websites for research or analysis
  • Content Aggregation: Collect and consolidate content from multiple sources
  • Competitive Analysis: Monitor competitor websites for information
  • Price Monitoring: Track product prices across e-commerce websites
  • News Monitoring: Collect news articles from various sources
  • Research Automation: Automate the collection of research data

Best Practices

  • Always respect robots.txt directives and website terms of service
  • Implement rate limiting to avoid overloading servers
  • Use appropriate user-agent headers for identification
  • Create precise extraction schemas for targeted data collection
  • Handle site structure changes with robust selectors or extraction patterns
  • Implement error handling for inaccessible pages or content
  • Consider using proxy rotation for large-scale scraping tasks
  • Cache results to reduce redundant scraping operations
  • Be aware of legal and ethical considerations in web scraping