What is WebCrawler API?
Navigating the complexities of web crawling, such as managing internal links, rendering JavaScript, bypassing anti-bot measures, and handling large-scale storage and scaling, presents significant challenges for developers. WebCrawler API addresses these issues by offering a simplified solution. Users provide a website link, and the service handles the intricate crawling process, efficiently extracting content from every page.
This API delivers the scraped data in clean, usable formats like Markdown, Text, or HTML, specifically optimized for tasks such as training Large Language Model (LLM) AI models. Integration is straightforward, requiring only a few lines of code, with examples provided for popular languages like NodeJS, Python, PHP, and .NET. The service simplifies data acquisition, allowing developers to focus on utilizing the data rather than managing the complexities of crawling infrastructure.
Features
- Automated Web Crawling: Provide a URL to crawl entire websites automatically.
- Multiple Output Formats: Delivers content in Markdown, Text, or HTML.
- LLM Data Preparation: Optimized for collecting data to train AI models.
- Handles Crawling Complexities: Manages JavaScript rendering, anti-bot measures (CAPTCHAs, IP blocks), link handling, and scaling.
- Developer-Friendly API: Easy integration with code examples for various languages.
- Included Proxy: Unlimited proxy usage included with the service.
- Data Cleaning: Converts raw HTML into clean text or Markdown.
Use Cases
- Training Large Language Models (LLMs)
- Data acquisition for AI development
- Automated content extraction from websites
- Market research data gathering
- Competitor analysis
- Building custom datasets
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