热门产品

Olostep

Olostep

Olostep 为 AI 应用提供网页数据 API,可将任意 URL 转换为 LLM 可用的 Markdown/JSON 数据,用于智能体搜索工作流。

热门评论

PH 用户
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 pipelinesDevelopers who need clean web data without maintaining scraping infrastructureGrowth, sales, and data teams enriching companies, leads, spreadsheets, and CRMsSEO / GEO teams monitoring brand visibility across search and AI answersRecruiting, 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 :)
PH 用户
How do you decide when parsers should handle extraction versus letting the model interpret the data?
PH 用户
Does it also preserve enough page context for AI agents to understand relationships between different pieces of web data?
PH 用户
clean web data is the real bottleneck for agents rn 👏 congrats
PH 用户
AI might get all the attention, but somebody's gotta keep all that data flowing haha. Love seeing the infrastructure side of the space getting built out too. Nice work guys, congrats on the launch! @hamza_ali59 @arslan_ali34
PH 用户
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!
热门产品Hamza Ali2026-08-30原文

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