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Clean Web & E-Commerce Data for AI Agents

Joined June 2026
Photo by ZooData (@ZooDataAI)Photo by ZooData (@ZooDataAI)
We built ZooData for one simple reason: agents need structured data, not another page to parse. Start with 1,000 free credits: zoodata.ai
AI agents don’t need more pages to read. They need better data to reason with. @ZooDataAI turns any URL into agent-ready JSON — clean extraction, fewer tokens, smarter workflows. Start with 1,000 free credits (no card required) 👉🏻 zoodata.ai
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Product of the Day. Nice badge. Better feedback. We’re reading every reply and turning the sharpest questions into the next docs, demos, and fixes.
ZooData finished #1 on Product Hunt. 🥇 Thank you to everyone who tested it, challenged the idea, and told us what their agents actually need. Now we get back to building. 1,000 free credits are still live: zoodata.ai
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Paste a URL. Pick the output your workflow needs: JSON, Markdown, or raw HTML. That’s the idea behind ZooData. Less cleanup before the next agent step.
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We Found the Real Reason AI Agents Fail
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We're building ZooData for this layer. URL in. Clean JSON out.
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Raw HTML goes in. Tokens burn. Extraction breaks. The agent gets blamed.
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Most agent demos hide the ugliest part: the data ingestion layer.
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Your agent is not slow. Your input layer is.
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Markdown is just HTML with better PR.
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HTML is not an agent interface.
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Most agent pipelines look like this: fetch HTML dump into LLM pray JSON comes out
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Shopping agents do not need browser theater. They need product truth: price history, review signals, competitor context, clean attributes, fresh data. Without that, it is guessing with a nicer voice.
🤖 Made with AI
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