WebCrawler API is a web crawling and scraping service that lets you extract data from websites through a simple REST API. It handles JavaScript rendering, proxy rotation, and anti-bot protection mechanisms to improve reliability when accessing modern web pages. You get clean output in Markdown, HTML, or plain text, with unnecessary elements like menus, ads, and cookie banners removed. Built for AI workflows, it integrates with tools like LangChain, Zapier, Make, and n8n.

• Clean Content Extraction: Strips menus, footers, ads, cookie banners, and other noise automatically. Returns structured Markdown ready for LLM prompts or vector store indexing without extra cleanup.
• Multiple Output Formats: Get results in Markdown, cleaned plain text, HTML, or JSON. Choose the format that fits your pipeline.
• CSS Selector Cleaning: Remove specific page elements using CSS selectors. The main_content_only option extracts only primary article content, filtering out sidebars and navigation.
• Multi-Language SDKs: Official SDKs for Python, Node.js, PHP, and .NET. Plus integrations with LangChain, Zapier, Make, and n8n for no-code workflows.
• JavaScript Rendering & Anti-Bot Handling: Extracts content from dynamic websites using browser rendering while automatically managing proxies, retries, and anti-bot protections to ensure high success rates.
• Scrape API v2 (Single-Request Scraping): A modern, synchronous API that allows you to scrape a page and optionally execute AI prompts directly on the retrieved content in a single request.
• Change Detection (Feeds): Tracks website updates and returns only the changed content, eliminating the need for inefficient, repeated polling.
• Smart Caching System: Optimizes performance and reduces costs by serving cached results for frequently accessed pages.

• Simple Pay-As-You-Go Pricing:Pay only for what you use, with pricing based on successful requests. No monthly subscription required, making it flexible for both small projects and large-scale scraping workloads.
• AI-Ready Output: Content comes back clean and structured in Markdown, ready to feed directly into LLM prompts, RAG pipelines, or vector stores without manual cleanup.
• Quick Integration: Get started with just a few lines of code. SDKs for Python, Node.js, PHP, and .NET, plus no-code options through Zapier, Make, and n8n.
• Built-In AI Prompt Execution: Run prompts directly on scraped content through the API, extracting specific data points without needing a separate LLM call in your pipeline.

• AI Prompt Feature Costs Extra: Running an AI prompt on scraped content adds $0.002 per prompt on top of the base scraping cost, which can add up at scale.
• Requires Technical Setup for Full Use: WebCrawler API is built for developers, so setup and integration require basic familiarity with APIs, HTTP requests, and backend workflows.
• Advanced Features May Increase Cost at Scale: While pay-as-you-go pricing is flexible, heavy usage of crawling, prompts, or structured outputs can increase overall costs as request volume grows.

• AI Training Data Collection: Crawl documentation sites, knowledge bases, or content libraries to gather clean Markdown text for fine-tuning LLMs or building RAG applications. The noise-free output eliminates hours of manual data cleaning.
• Competitive Intelligence & Market Research: Monitor competitor websites for pricing changes, product updates, or new content. Use the Feeds feature to detect page changes automatically and get only updated content delivered to your pipeline.
• SEO Monitoring & Content Audits: Crawl your own site or competitor sites to analyze content structure, metadata, and internal linking. The metadata scraper extracts standardized data from page headers for large-scale SEO analysis.
• Knowledge Base & Support Agent Building: Extract help center articles and documentation into structured Markdown to power AI customer support agents. Integrate with LangChain to build document processing pipelines that stay current with source material.
• Lead Generation & Data Enrichment: Scrape publicly available business information from directories, review sites, or industry listings. Use the AI prompt feature to extract and structure specific data points like company names, contact info, or service descriptions.
• Content Aggregation & Monitoring: Set up automated workflows through Zapier, Make, or n8n to crawl news sites, blogs, or industry publications on a schedule. Feed extracted content into dashboards, newsletters, or alerting systems.