WebCrawlerAPI is a web crawling and data extraction API designed for developers and AI teams seeking to convert website and documentation content into clean markdown. The platform specializes in extracting and cleaning web pages, removing elements such as menus, cookie banners, footers, and ads, to deliver structured markdown suitable for direct use in AI agents, prompts, indexing, or storage without additional processing steps.
The service offers features including smart caching for faster response times, with cached pages often delivered in under a second, and a change detection feed that notifies users only when web pages have changed, providing full content, diffs, and details about new or removed entries. WebCrawlerAPI manages the technical infrastructure required for robust web scraping, automatically handling proxies, retries, headless browsers, CAPTCHAs, anti-bot protections, and JavaScript rendering, ensuring reliable access to web content.
Developers can integrate WebCrawlerAPI using a variety of programming languages, as well as through no-code platforms such as Zapier, Make, n8n, and Integrately, enabling flexible automation and workflow integration. The API is designed for ease of use, with a quick setup that requires minimal boilerplate. It is positioned as a solution for teams building AI support bots, knowledge products, and other applications that depend on up-to-date, structured web data.
Pricing is transparent, with both pay-as-you-go and subscription options. Users can start without a monthly commitment, paying only for successful requests at a per-page rate, or choose from subscription tiers that offer reduced per-request pricing and increased parallel request limits. A free trial is available without requiring a credit card. WebCrawlerAPI includes unlimited proxy usage and content cleaning in all plans, and custom quotas or pricing can be arranged as needed. This makes it suitable for a range of projects, from small-scale crawls to high-volume enterprise needs.
In the API design, testing & docs space, Web crawling and data extraction takes a focused approach. It focuses on automating the extraction of structured data from websites and documents for integration into AI agents or knowledge bases. It is built as a B2B product for developers and AI teams needing web data extraction. Web crawling and data extraction is a paid product. Web crawling and data extraction is available on the command line and API.
Web crawling and data extraction first shipped in 2026. Development happens publicly on GitHub with 7 commits in the last 90 days. Key capabilities include web crawling, data extraction, and markdown output. It exposes integrations via a public API.
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