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Pay per usage

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AI Web Scraper: Extract Any Data From Any Page in Plain English

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Pricing

Pay per usage

Rating

0.0

(0)

Developer

Vhub Systems

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Bookmarked

Total users

Monthly active users

2 days ago

Last modified

AI Web Scraper — Extract Any Data From Any Page in Plain English

Stop writing CSS selectors. Point this actor at any URL, describe the fields you want in plain English, and get clean structured JSON back. Powered by an LLM, so it keeps working even when the site changes its layout.

Why this over a normal scraper

Normal scraper	AI Web Scraper
You write & maintain CSS/XPath selectors	You write one sentence
Breaks on every redesign	Survives redesigns (reads the page like a human)
One scraper per site	One actor for any site
Needs a developer	Anyone can use it

How to use

URLs to scrape — paste one or more page URLs.
What to extract — describe it: "For each product: name, price, rating, in_stock".
List mode — ON for repeated items (products, posts, rows), OFF for one object per page.
Run. Results land in the dataset as clean JSON, ready for Excel/Sheets/API.

Example

Input

{
  "startUrls": [{ "url": "https://news.ycombinator.com/" }],
  "extractionPrompt": "For each story: title, points, author, number_of_comments, url",
  "listMode": true
}

Output (verified live)

[
  { "title": "SearXNG: A free internet metasearch engine", "points": 101, "author": "theanonymousone", "number_of_comments": 24 },
  { "title": "Giant trees have no trouble pumping water to top branches", "points": 29, "author": "hhs", "number_of_comments": 11 }
]

Use cases

E-commerce — product name, price, rating, availability across any shop.
Lead-gen — names, titles, emails, companies from directory pages.
Real estate / jobs / listings — structured rows from any listing site.
News / research — headlines, authors, dates, summaries.
Anything with repeated items — no selector, just describe it.

Pricing

Pay per result. You're charged per extracted item — no monthly fee, no charge for empty pages. Cheap on small jobs, scales linearly on big ones.

Notes

Reads visible page text (not raw HTML), so it's robust to markup changes.
Returns null for fields it can't find — it never invents data.
Large pages are trimmed before extraction to keep runs fast and cheap.
Each item includes _sourceUrl so you always know where it came from.

Built by Vhub Systems.

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