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ChiselForge is an open-source web intelligence crawler built to extract more than page text. It maps site structure, metadata, schemas, linked resources and less-obvious content, then returns structured, validated data for AI, research and data pipelines. It uses deterministic extraction first, with browser and LLM-assisted paths only when needed. Built for people who need to understand what is actually present across a web property not just scrape what is visible
Hey Product Hunt 👋
I built ChiselForge because I needed a crawler that could tell me more about a website than just what was visibly rendered on the page.
It originally started as infrastructure for a larger research/data-collection problem. While building it, I kept running into information that conventional page extraction could easily overlook: metadata, structured schemas, inline hidden content, linked resources, deeper site structure, and even pages that were still connected to a website despite not being part of the obvious public navigation.
That pushed ChiselForge in a different direction.
Instead of treating a website as a collection of pages to turn into text, ChiselForge tries to understand the broader web property and extract it into structured, usable data.
The extraction path is deterministic-first. You provide a URL and schema, ChiselForge attempts to produce validated structured output, and heavier browser or LLM-assisted paths are used only where they’re actually needed.
I’ve open-sourced it because I think there’s a lot more that can be explored here, especially for AI pipelines, research, web intelligence, data collection and agents that need reliable information from the web.
It’s still evolving, so I’d genuinely love feedback from people building crawlers, agents, search systems or data pipelines.
What would you want a crawler like ChiselForge to discover that current tools don’t give you easily?
— Subrojit, maker of ChiselForge
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About ChiselForge on Product Hunt
“Open-source web intelligence beyond visible pages”
ChiselForge was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #125 on the daily leaderboard. ChiselForge is an open-source web intelligence crawler built to extract more than page text. It maps site structure, metadata, schemas, linked resources and less-obvious content, then returns structured, validated data for AI, research and data pipelines. It uses deterministic extraction first, with browser and LLM-assisted paths only when needed. Built for people who need to understand what is actually present across a web property not just scrape what is visible
ChiselForge was featured in Open Source (68.8k followers), Developer Tools (518.8k followers), GitHub (41.4k followers) and Data (2.4k followers) on Product Hunt. Together, these topics include over 127.3k products, making this a competitive space to launch in.
Who hunted ChiselForge?
ChiselForge was hunted by Subrojit Roy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Subrojit Roy