What is context.dev?
context.dev provides a website-scraping and web-crawling API that extracts site content and assets for AI applications.
It performs recursive full-site crawls, sitemap and search crawling, and parses Markdown and HTML into structured JSON-schema outputs.
The API extracts brand data (logos, colors, fonts, style guides, social links, addresses), image assets and screenshots, and applies URL classification and NAICS/SIC tagging.
Built for RAG and LLM workflows, context.dev supplies readable page content and structured context for training chatbots, knowledge bases, and generative AI agents.
Features include automated brand-kit generation, programmatic theming, content enrichment for company profiles, and tooling to keep indexed content current.
Developers and product teams can integrate via API to migrate scraping pipelines, reduce infrastructure maintenance, and scale crawls across large sites.
Common use cases include support chatbots, branded documentation generation, academic crawling, and automated onboarding autofill.
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context.dev's key features
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Recursive full-site, sitemap, and search crawling
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Parses Markdown and HTML into structured JSON-schema outputs
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Extracts brand data, image assets, and screenshots
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Applies URL classification and NAICS/SIC tagging
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API integration to migrate scraping pipelines and scale crawls across large sites
context.dev use cases
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Create high-quality RAG datasets and updatable knowledge bases for your LLMs and chatbots using context.dev's recursive site crawler and HTML-to-JSON parser, automatically converting entire websites into structured, queryable JSON and keeping content fresh with incremental recrawls
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Generate automated brand kits and centralized asset libraries by extracting logos, images, typography and color palettes from corporate sites with context.dev, streamlining marketing workflows and ensuring brand-compliant content across campaigns and documentation
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Automate competitive intelligence and industry classification by using context.dev's brand-data extraction and tagging to monitor competitor sites, classify content into industry categories, and feed insights into dashboards, alerts, and recommendation engines for faster product and market decisions
Who is it for?
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Web developers
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Machine learning engineers
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Data engineers
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Product managers
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Marketing managers
