Extract, crawl and structure web data at scale with Olostep's Web Data API. Built for AI teams, data pipelines and automation. Fast, reliable and cost-effective.
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Olostep: Web Data Infrastructure for AI
Welcome to Olostep. We're building the infrastructure AI agents need to do real work on the web.
The web is the backbone of every business and the home of humanity's collective knowledge. Humans browsed it manually for decades. Now Agents are knocking on the door.
In late 2025, with improvements in AI models, we entered an era where software stopped following instructions and started thinking. We shifted from an instruction-based world to an intent-based one. The agentic era. That shift breaks a lot of infrastructure that quietly assumed a human in the loop: email, payments, identity, search.
Search asked you to do the rest. You typed a query, got some links back, and then opened the tabs, read, compared, and pieced it together yourself. In an agentic search world, what comes back isn't links, and isn't an answer. It's the work, done: hundreds of sources searched, pages read, fields extracted, conflicts resolved, output structured and delivered.
The web's second user is arriving, at machine scale. Everything it needs to work has to be built again. The data infrastructure is where we start. We are starting with a series of APIs to search, scrape, crawl, map, monitor, and turn the web into clean data for AI
Hey Product Hunt 👋
AI agents are becoming the Web’s second user.
But most agents still access the web like humans do: open tabs, wait for pages, fight JavaScript, parse messy HTML, maintain brittle scrapers, retry failed jobs, and hope the data is fresh.
That felt backwards.
So @hamza_ali59 built Olostep: web infrastructure for AI agents - one API to search, scrape, crawl, map, monitor, and structure live web data for AI products and automation workflows.
What you can do with Olostep:
🔎 Search the live web with natural language queries
🧹 Scrape any URL into clean Markdown, HTML, JSON, screenshots, PDFs, or raw content
🕸️ Crawl entire websites and retrieve LLM-ready pages
🗺️ Map a domain and discover URLs beyond basic sitemaps
⚡ Batch process large URL lists for production data pipelines
📡 Monitor pages, prices, job openings, DOM changes, content updates, and business signals
🤖 Answer questions with web-grounded sources and structured output
🧩 Connect it to your stack with SDKs, CLI, MCP, n8n, LangChain, Mastra, Apify, Zapier, Cursor, Claude, and more
Why Hamza built this:
The bottleneck for AI products is often not the model anymore.
It’s the web layer.
Agents need fresh, structured, reliable data from the real world. Not stale training data. Not one-off browser scripts. Not scrapers that break every time a website changes.
We believe the next generation of AI companies will need a production-grade way for agents to read, reason over, and act on the web.
That is what Olostep is becoming.
Who it is for:
AI teams building agents, copilots, and RAG pipelines
Developers who need clean web data without maintaining scraping infrastructure
Growth, sales, and data teams enriching companies, leads, spreadsheets, and CRMs
SEO / GEO teams monitoring brand visibility across search and AI answers
Recruiting, finance, research, ecommerce, and competitive intelligence teams automating web research
Try this today:
Give Olostep one messy web workflow you currently do manually - for example:
“monitor 50 competitor pricing pages every week”
“crawl these docs and turn them into clean RAG context”
“extract structured product data from a marketplace”
“find companies hiring for a specific role and enrich them”
…and Olostep should help turn that workflow into clean, structured data your app or agent can actually use.
🧪 Try it: Get a free API key
📚 Docs: Read the docs
💬 Community: Join our Slack
🎁 Product Hunt launch offer: They are giving PH builders 80% off for the first month, on any plan! Use code PH80 or comment here after signing up and we’ll help you get set up.
Excited to hear what you think :)
@rohanrecommends Thanks, Rohan! Let us know if you have any questions. Feel free to reach out to us on Slack or via email
@hamza_ali59 @rohanrecommends Thanks!
@hamza_ali59 @rohanrecommends Thanks Rohan!
@hamza_ali59 @rohanrecommends “AI agents are becoming the web’s second user” is a great way to frame this. Curious how you handle pages where the underlying content changes frequently, do agents always get fresh data, or is there some caching layer to balance freshness with cost?
Among everything I've tried to scrape content of web, Olostep has been the most powerful. You could literally to 10K urls just within a few minutes. I also find endpoints like /answers that gets me the direct answer to questions on web without writing my own search logic, and they work pretty fast.
Congrats on the launch.
@samyakk Thanks!
@samyakk Thanks. Yes, we have worked hard on our infrastructure and APIs to deliver the best possible experience for our customers. And now we are putting all of it together to power the agentic search experience
@samyakk Thanks Samyak! Yes, the batch endpoint is very useful for production workloads
Hey, Congrats with the launch! Interesting project. Would love to know what are Olosteps main differences with other scraping workflows on the market?
@povilaitis_web Hey Rafaelis, thanks! So the main difference is that we work with almost all other providers on the market. Our approach is like the Cursor one. We work at the harnessing level to give a magical experience to our customers instead of directly competing in a fragmented market
@povilaitis_web Hey Rafaelis as Hamza mentioned we don't compete with other providers on the market but we work with most of them. What we care about is giving a great experience to our users
@arslan_ali34 So this is basically only scraping tool you need? Great Idea!
@vipul_kumar1280 Yes! The web is the backbone of all businesses and where knowledge lives. A strong web data infrastructure is the missing link that lets models do real work
Hey! I'm Arslan, one of the cofounders of Olostep. We are building Web Data Infrastructure for AI.
We believe the Web is the backbone of all businesses and where humanity's collective knowledge resides. Humans have used it for other 30 years. Now we have a new user and consumer on the web: AI agents.
These thinking machines need a new infrastructure custom built for them to allow them to complete actual work.
We are starting with a suite of web data APIs to allow agents to search, extract and structure data from the Web.
You can try the product for free from our website: olostep.com
If you have any question feel free to reach out on Slack
Thanks. Excited to see what you and the AI agents deployed in your businesses will build with it!
clean web data is the real bottleneck for agents rn 👏 congrats
the monitor piece is the one id want to hear most about. diffing a page is easy, deciding what counts as a change is the actual problem. my first attempt at this fired on every deploy becuase nav markup and timestamps moved, and i had it muted inside a week, which is the worst possible outcome since the alert is still technically working. whats the unit of identity for a monitored page over time? if a site reorganises its url structure or moves the same content behind a different route, does olostep read that as the same page changed or as a page gone. that one decision is what determines whether monitoring survives six months of contact with a real site. and are extraction schemas versioned? when a field stops appearing i want to know whether the site changed or my schema did, and most tools collapse both into null.
@rabnoor_s True! The Monitor API is one of the most useful but also technically challenging APIs we have created so far. It puts together most of the foundational building blocks we have built over the years. We have models that first create a graph of the workflow, then we use our own API to take snapshots of the relevant parts of the web when the monitor is created to have a truth baseline. Then we have other in-house models, and harnessing that detect what constitutes a real change worth flagging compared to just noise.