Marcus T.
Used this to scrape competitor pricing pages and convert them into a structured CSV. Saved me hours of manual work and the JSON output was perfectly clean for importing into our analytics dashboard.
Point it at a page or a topic and get back clean structured data as JSON, CSV, or Markdown, from an open-source web data agent. ## What it does - **Structured extraction:** pages turned into clean JSON, CSV, or Markdown - **Topic research:** a question expanded into a multi-page gather - **Monitoring:** track a page or topic for changes over time - **Open source:** a transparent, self-hostable web data agent ## Where it fits - **An analyst building a dataset:** "Pull product names and prices from these listing pages." A clean CSV to work from. - **A researcher scoping a topic:** "Gather the key sources on this subject." Structured notes across pages. - **A team watching a market:** "Monitor this page and flag changes." Alerts when something shifts. ## How it works 1. **Point it at a page or topic:** a URL or a question. 2. **It crawls and structures:** content extracted into your chosen format. 3. **You get data back:** JSON, CSV, or Markdown, ready to use. Built for market research, data collection, and monitoring. Respect each site's terms; the output is data for you to verify and use.
54 ratings · showing the 12 most relevant
Marcus T.
Used this to scrape competitor pricing pages and convert them into a structured CSV. Saved me hours of manual work and the JSON output was perfectly clean for importing into our analytics dashboard.
李芬 L.
为我的电商研究项目抓取了50多个产品页面的结构化数据。输出格式很灵活,能直接导入Excel进行分析。强烈推荐。
James R.
Great for extracting job listings from career sites. The agent handled pagination well and output clean JSON. Only minor issue was occasional timeouts on slow sites, but overall very reliable.
Sofia P.
I needed to monitor price changes across 10 SaaS tool websites weekly. Set up a workflow with this agent and now I get automated CSV reports every Monday. Cuts down my research time from 2 hours to 10 minutes.
王建明 W.
用来提取新闻网站的文章数据。效果还不错,但有时候会漏掉动态加载的内容。可能需要对JavaScript渲染的页面进行更好的支持。
Diego H.
Scraped real estate listings from multiple sites and aggregated them into one structured dataset. The agent intelligently identified the key fields (price, beds, location) even when HTML structures varied. Exactly what I needed.
Yuki K.
Used it to extract product reviews and ratings for a market analysis report. Output was mostly clean, though I had to do minor cleanup on a couple of fields with special characters.
Ananya S.
Excellent for gathering startup data from multiple funding databases. The flexibility to output as JSON, CSV, or Markdown meant I could work with whatever format my downstream tools needed. Saved our research team a ton of time.
Chen M.
我用它来跟踪电商网站的库存变化。数据结构化得很好,大部分时间都能正常工作。偶尔会遇到反爬虫机制,需要调整一下参数。
Felix G.
Needed to build a database of tech blog articles for content analysis. This agent extracted titles, authors, dates, and summaries perfectly. Open-source nature meant I could customize it slightly for our specific use case.
Priya N.
Tried using it for restaurant menu scraping but got mixed results — some fields didn't parse correctly. Documentation could be clearer on handling nested structures. Might work better for simpler pages.
Lucas O.
Perfect for my market research on e-learning platforms. Extracted course info, pricing, and reviews in clean JSON format. The agent's ability to recognize different page layouts automatically was impressive.