Thunderbit Unveils New Tools for Enhanced Web Data Extraction
Thunderbit Launches High-Fidelity Web Data API, MCP Server, and CLI

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Thunderbit has launched a developer API, Model Context Protocol (MCP) server, and Command Line Interface (CLI) to facilitate high-fidelity web data extraction. These tools enable developers to convert complex web pages into clean Markdown or structured data, enhancing AI applications and automation workflows.
- 01Thunderbit's new tools include an adaptive HTML-to-Markdown engine called Distill, which scored 0.87 ROUGE-L in internal evaluations.
- 02The platform now allows developers to extract structured data in JSON or CSV formats using a defined schema through a feature called Extract.
- 03Thunderbit's technology adapts to changing web page structures, reducing the need for custom scrapers.
- 04The launch expands Thunderbit's offerings beyond its existing no-code tools, catering to developers in AI and automation.
- 05New users can access free credits for trying out Thunderbit's developer API and related tools.
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Thunderbit, an AI web data platform based in San Francisco, has launched its developer API, Model Context Protocol (MCP) server, and Command Line Interface (CLI) to enhance web data extraction capabilities. These tools allow developers to transform complex websites into clean Markdown or structured data, which is crucial for AI agents and automation workflows. Central to this launch is Thunderbit Distill, an adaptive HTML-to-Markdown engine that excels in converting various web page types without needing site-specific rules. In tests, Distill achieved a ROUGE-L score of 0.87, indicating its effectiveness in producing high-quality Markdown. Additionally, the new Extract feature enables users to return structured JSON or CSV data from URLs based on user-defined schemas. This development aims to provide more reliable and cleaner data for AI applications, reducing the reliance on traditional scraping methods that can fail with layout changes. Thunderbit's tools are now available for developers, extending the platform's capabilities beyond its no-code offerings, which are already popular among sales and research teams.
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The launch of Thunderbit's new tools will significantly enhance the efficiency of web data extraction for developers, impacting various sectors including sales and research.
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