Any URL in. Structured JSON out.
Point Auto Extract at any web page and get back clean, structured JSON: no selectors, no rules, no config. It detects the page type, generates the extraction schema with an LLM, and adapts on its own to articles, products, listings, profiles and more.
POST /extract
{ "url": "https://blog.example.com/build-a-web-scraper" }
→ 200 OK · 10 credits
{
"success": true,
"url": "https://blog.example.com/build-a-web-scraper",
"page_type": "article",
"data": {
"title": "How to Build a Web Scraper",
"author": "John Doe",
"published_date": "2024-01-15",
"content": "This comprehensive guide will teach you...",
"tags": ["web scraping", "tutorial", "python"],
"reading_time": "8 min read"
}
}
See it work, before you sign up.
Drop in a URL, run a real call against the live API, and watch the JSON come back in about a second. No API key required.
Skip the CSS-selector archaeology. Auto Extract reads the page, works out its structure with an LLM, and returns typed JSON. You supply a URL, and that is the whole integration.
Article, product, listing, profile, recipe, research paper: Auto Extract recognises what it is looking at and returns the right shape. The response tells you which via a page_type field.
JavaScript rendering, auto_proxy escalation (datacenter → residential → premium → managed-Selenium) and CAPTCHA solving are on by default. Tough sites just work, with no extra flags to go hunting for.
The first page of a template generates the extraction rules; every page after reuses them, fast and consistent. Pass force_refresh to regenerate when a site changes.
Already have the HTML? Send it alongside the URL and Auto Extract skips the fetch step entirely, handy when the page is already in hand.
Failed fetches are free; credits are billed per successful extraction and returned in the Ujb-credits response header. No surprises.
Copy. Paste. Ship.
curl -X POST https://api.ujeebu.com/extract \
-H "Content-Type: application/json" \
-H "ApiKey: $UJEEBU_KEY" \
-d '{"url": "https://shop.example.com/p/wireless-headphones"}'
import os, requests
r = requests.post(
"https://api.ujeebu.com/extract",
headers={"ApiKey": os.environ["UJEEBU_KEY"]},
json={"url": "https://shop.example.com/p/wireless-headphones"},
)
res = r.json()
print(res["page_type"], res["data"])
const res = await fetch(
"https://api.ujeebu.com/extract",
{
method: "POST",
headers: { "Content-Type": "application/json", ApiKey: process.env.UJEEBU_KEY },
body: JSON.stringify({ url: "https://shop.example.com/p/wireless-headphones" }),
},
);
const { page_type, data } = await res.json();
body := strings.NewReader(`{"url":"https://shop.example.com/p/wireless-headphones"}`)
req, _ := http.NewRequest("POST", "https://api.ujeebu.com/extract", body)
req.Header.Set("Content-Type", "application/json")
req.Header.Set("ApiKey", os.Getenv("UJEEBU_KEY"))
res, _ := http.DefaultClient.Do(req)
Real things real teams shipped this quarter.
Feed any blog or news URL and get title, author, date, body and tags back, clean and model-ready for RAG, summarisation or archival. No per-site tuning, ever.
Point it at product pages across any store and get name, price, rating, availability and description in one consistent shape, built for price monitoring and catalogue building.
Listing pages come back as an items array with a total_count: businesses, jobs, classifieds. One call turns a directory page into rows.
Give an AI agent a single URL-to-JSON tool it can call on sites it has never seen. Auto Extract handles the structure so the agent can reason about clean data.
10 credits per Auto Extract call. Here's what that buys.
One credit pool covers every endpoint. Failed calls cost 0. No per-feature upcharges, no premium-proxy tax. See full pricing →
Ship Auto Extract tonight.
5,000 credits free. No card. Real residential proxies on the free tier.