Olostep provides scalable web data APIs, specifically designed for the web’s second user - AI. Effortlessly turn any URL into LLM-ready Markdown, JSON, or structured data and use the API for agentic search workflows
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.
🎁 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.
Hey, Congrats with the launch! Interesting project. Would love to know what are Olosteps main differences with other scraping workflows on the market?
really useful infrastructure for agents, getting clean, fresh web data without maintaining brittle scrapers is not a huge win.
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.
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.
Does it also preserve enough page context for AI agents to understand relationships between different pieces of web data?
How do you decide when parsers should handle extraction versus letting the model interpret the data?
About Olostep on Product Hunt
“Turn the Web into Clean Data for AI”
Olostep launched on Product Hunt on August 30th, 2026 and earned 190 upvotes and 10 comments, earning #3 Product of the Day. Olostep provides scalable web data APIs, specifically designed for the web’s second user - AI. Effortlessly turn any URL into LLM-ready Markdown, JSON, or structured data and use the API for agentic search workflows
Olostep was featured in API (98.6k followers), Developer Tools (518.4k followers) and Artificial Intelligence (477.3k followers) on Product Hunt. Together, these topics include over 210.2k products, making this a competitive space to launch in.
Who hunted Olostep?
Olostep was hunted by Rohan Chaubey. 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.
Want to see how Olostep stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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 :)