Product Positioning & Context
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.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is HasData?
HasData is a digital product or tool described as: Web scraping service for AI agents
Where did HasData originate?
Data for HasData was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was HasData publicly launched?
The initial public indexing or launch date for HasData within our tracked developer communities was recorded on May 15, 2026.
How popular is HasData?
HasData has achieved measurable traction, logging over 317 traction score and facilitating 101 recorded discussions or engagements.
Which technical categories define HasData?
Based on metadata extraction, HasData is categorized under topics such as: Artificial Intelligence, Data, Vercel Day.
How does the creator describe HasData?
The original author or development team describes the product as follows: "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-..."
Community Voice & Feedback
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.
we use HasData inside Pendium and it's solid
@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.
For long-tail sites where users rely on AI extraction: how do you make the output consistent and trustworthy over time (schema drift, hallucinated fields, changing layouts), and how does that compare to approaches like Diffbot-style automatic extraction or Firecrawl-style content-first outputs?
Congrats team! Happy to find your product, Google maps no-code scrapers is sth I really need, will try today.
Congrats on launch! Love how the agent picks the matching scraper itself, that part always slowed me down on other tools.
Good luck
The success-only billing is the headline for me, it's one of those things that sounds obvious in hindsight but almost nobody does it. Scraping infrastructure is inherently flaky, so charging for failures has always felt like passing your infrastructure debt onto the customer.Quick question though: how do you define "success" when the request technically completes but returns stale or incomplete data? That edge case is where I'd expect the billing model to get complicated.Also curious whether the MCP server handles rate limiting and retry logic transparently, or does the developer still have to think about that?Rooting for this one — clean problem, clean solution.
Building a small side project that needs lead data and was about to write a custom scraper. Now I think I'll just use this - will give it a try at least. Congrats on launching today!
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics