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HasData

Web scraping service for AI agents

Developer Tools
Artificial Intelligence
Data
Vercel Day
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HasData is the managed web scraping service for data pipelines and AI agents. Send any URL, get clean JSON or Markdown back in one API call. We handle proxies, browser rendering, retries, and anti-bot. 50+ ready scrapers cover Google Search, Maps, News, Zillow, Indeed, and major e-commerce. AI extraction handles any other URL from a plain-text prompt. Use it from Claude, ChatGPT, or your own AI agent via MCP. CLI for everything else.

Top comment

Hey Product Hunt 👋

Sergey here, co-founder at HasData.


HasData is the managed web data service for AI agents and pipelines. We handle the messy infrastructure like proxies and anti-bot. We also maintain dozens of ready APIs for Google, Maps, Zillow and e-commerce.


And one thing that sets us apart from every other API in this space: we only bill on success. Failed requests cost nothing. You pay for data that actually arrives, not for retries on a broken proxy.


Today we are launching our AI Agent, an MCP server, a CLI and Agent Skills for Claude Code and OpenClaw. You can now connect HasData straight to your AI stack.


The catalog is pretty powerful if you know exactly what you need. But it gets frustrating if you do not. Picking the right tool, learning the parameters and parsing the output takes time away from actual building.


The new AI Agent fixes that. Describe what you need. The Agent picks the matching API, runs the job, and returns a dataset. Enrich any row from the same chat with contacts, firmographics, or whatever's missing.


The MCP server, CLI, and Agent Skills give the same flow to anyone working from Claude, ChatGPT, the terminal, or Claude Code.


Two things worth knowing:

  • We're giving 10,000 free credits during launch week.

  • If you're a HasData user already, everything works on your existing account, catalog, and workspace. No separate plan, no migration.

It's live at app.hasdata.com/chat. I'm here all day, so is the team. Drop a comment, break it, tell us what's missing.

Comment highlights

Scraping for agents is a different problem than scraping for humans agents need structured, reliable data on every call. How does it handle sites that actively block scrapers or change their structure frequently?

Congrats on the launch! The Indeed Jobs API looks genuinely useful. We’ve dealt with enough scraping/proxy pain to appreciate the product. Are there any plans to parse LinkedIn Jobs?

Hah, rare case where AI makes sense at scraping. So, your APIs are based on classic selectors and AI just pick which one to use, right?

Congrats on the launch!
This looks like a great product and a tough one to build - i've been building an ai browser agent myself.

How is this different from apify or firecrawl?

Love your Google Maps Scraper. I'm bad at coding, so I'm happy that you have products for no-coders like me. Sure, I could vide code anything now but quality won't be the same.

@ermakovich_sergey @rmilyushkevich Congrats on launch day! Two questions on the Google AI Mode SERP API. First, does it return the citation URLs alongside the AI answer? Second, any rate limit gotchas when running ~150 queries in a short burst?

Honestly, Roman mentioning that the AI Agent cross-checks ambiguous pages against a secondary source is totally flying under the radar — it's the most underrated part of this whole launch.

Quick practical question though: how does the Agent actually decide when to escalate to a cross-check? Is it relying on confidence scores (like the extraction model saying "I'm only 60% sure"), strict schema validation ("required field missing"), or some other heuristic?

Asking as an indie dev building AI tools, because getting that "when to escalate" logic right is usually exactly what makes or breaks agentic systems in production.

Love your MCP server. I know that it's new, but it's already made my Claude workflow easier. Thanks and good luck today!

Congratulations on the launch! Does the agent run on a schedule for recurring tasks, or only on demand?

Congrats on Launch! I hope we could get a LinkedIn extension even though it blocks scraping...

Seems like you guys did a really great job connecting your scraping tools to AI via mcps, cli, etc. Might give it a try today!

Hey there! I just wanted to say qudos for your service. I used it for some enrichment work and honestly you nailed it!!! It took me only about 20 minutes to connect your API to my setup (agent skill for Claude vibe me through), and I was impressed with how smooth the process was.

I had a dataset of 607 rows, and the email enrichment came back with a 74% success rate, which I think is fantastic. After checking for bounces, it settled at 69%. Not bad at all for just 20 minutes of work!

I've added you to my favorites for scraping services because you definitely deserve a spot there.

Very interesting. How does it work with maps? Can you take a location and pull relevant objects from there (for example, hotels)?

Hey guys, congrats on launch!  I run an AI agency and we have quite a lot of projects where scraping is a big part of the stack - market research, price monitoring, lead enrichment, competitor tracking, AI agents with web data. So this looks super relevant for us. Scraping is always one of those parts that sounds easy in the begining, but then you spend a lot of time on proxies, blocks, JS rendering and weird site structures. Just one question how well does it work with websites that have heavy anti-bot protection or dynamic pages with a lot of JS rendering?

Scaling scrapers for AI agents is usually a massive headache because of proxy rotation and constant site updates. Paying only for successful requests feels like a fair model. Do you provide a way to train the AI extraction for specific non standard layouts, or is it purely automated? Also, what system is being used behind it?

Congratulations and good luck with the launch! 👏 What are your next development priorities, and what features are you planning to add in the near future?

How do you deal with reliability there, do you surface a confidence score or require a quick validation step?

Good luck with the launch, Bulba Scrapping service )) Fingers crossed for a massive scale-up!

About HasData on Product Hunt

Web scraping service for AI agents

HasData launched on Product Hunt on May 15th, 2026 and earned 418 upvotes and 111 comments, earning #2 Product of the Day. HasData is the managed web scraping service for data pipelines and AI agents. Send any URL, get clean JSON or Markdown back in one API call. We handle proxies, browser rendering, retries, and anti-bot. 50+ ready scrapers cover Google Search, Maps, News, Zillow, Indeed, and major e-commerce. AI extraction handles any other URL from a plain-text prompt. Use it from Claude, ChatGPT, or your own AI agent via MCP. CLI for everything else.

HasData was featured in Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers), Data (2.3k followers) and Vercel Day (8 followers) on Product Hunt. Together, these topics include over 163.1k products, making this a competitive space to launch in.

Who hunted HasData?

HasData was hunted by fmerian. 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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