Web Scraping Agent

The Web Scraping Agent is a sophisticated tool that extracts structured data from websites. It supports multiple scraping strategies, handles dynamic content, and processes data according to custom extraction schemas while respecting robots.txt and rate limits.

Web Scraping Agent workflow and architecture

Configuration Parameters

Required Input Parameters

urls: Array of URLs to scrape
scraper_type: Type of scraper to use (options: 'static', 'dynamic', 'api', 'headless')
extraction_schema: JSON schema defining the data to extract

Optional Configuration

language_model: LLM configuration for content processing (default: GPT-4)
output_format: Desired format of extracted data (options: 'json', 'csv', 'xml')
chunk_size: Size of text chunks for processing (default: 1000)
chunk_overlap: Overlap between consecutive chunks (default: 200)

Output Format

{
  "scraped_data": {
    "raw_content": {
      "html": string,
      "text": string,
      "metadata": object
    },
    "chunks": [
      {
        "content": string,
        "start_index": number,
        "end_index": number
      }
    ]
  },
  "extracted_data": {
    "structured_data": object,
    "entities": array,
    "relationships": array
  },
  "metadata": {
    "url": string,
    "timestamp": string,
    "scraping_stats": {
      "duration": number,
      "success": boolean,
      "errors": array
    }
  }
}

Features

Multiple scraping strategies (Static, Dynamic, API-based)
Custom extraction schema support
Intelligent content chunking
Rate limiting and retry mechanisms
Proxy support and IP rotation
Cookie and session handling
JavaScript rendering support
Error handling and recovery

Note: Always check and respect the target website's robots.txt file and terms of service before scraping. Implement appropriate delays between requests to avoid overwhelming the target servers.

Tip: Use the dynamic scraper type for JavaScript-heavy websites and the static scraper for simple HTML pages. Adjust chunk sizes based on the content structure of your target websites.

Example Usage

const webScrapingAgent = new WebScrapingAgent({
  scraper_type: "dynamic",
  output_format: "json",
  chunk_size: 1000,
  chunk_overlap: 200,
  extraction_schema: {
    title: "h1",
    content: "article",
    author: ".author-name",
    date: ".publish-date"
  }
});

const results = await webScrapingAgent.scrape({
  urls: ["https://example.com/article1", "https://example.com/article2"],
  language_model: "gpt-4"
});