Pull contact data from any site. No selectors needed.
Names, emails, phones, titles — extracted from directories, LinkedIn, conference sites, and company team pages with a single API call. AI handles the layout differences; you handle the outreach.
The lead extraction challenge.
Contact pages are deliberately heterogeneous. Anti-bot is real. Custom selectors break every time the layout updates. AI extraction sidesteps all of it.
Names, emails, and phones spread across page elements, nested in tables, hidden behind JS, embedded in PDFs.
Directories deploy CAPTCHAs, rate limits, bot detection, IP blocks — naive scrapers stop working hours in.
Every contact page is different. CSS selectors that work on one site break on the next. Rule-based extraction is fragile.
Thousands of prospect pages = concurrency management, retry logic, quality monitoring. The infra ends up bigger than the scraper.
How teams use AI-powered lead extraction.
Pull listings from every directory.
Business names, addresses, phones, emails, categories from Yellow Pages, Yelp, Google Maps, and niche industry directories. AI handles varied formats — no per-site selectors.
- AI Scraper prompt: extract business name, address, phone, email, category
- JSON schema enforces consistent output across directories
- Stealth mode + proxy rotation bypass anti-bot
- Pagination handling for full listing results
Structured profile data without parsers.
Names, titles, companies, locations, work history. Pre-built LinkedIn templates emit clean JSON — no custom code per page type.
- Pre-built templates for profile / company / search pages
- Browser fingerprinting + stealth avoid detection
- Structured JSON: name, title, company, location
- Rate limiting + session management for compliant scale
Extract company contacts from team pages.
Submit team, about, and people pages (from a sitemap or your own URL list) and AI Scraper extracts names, titles, emails, and photos from each.
- Feed /about, /team, /people URLs — one per AI Scraper call
- AI prompt: name, title, email, photo
- Discover URLs via sitemap or SERP API queries
- JS rendering covers SPAs and lazy-loaded team blocks
Speakers, sponsors, and attendees.
Pull speaker lists, sponsor contacts, attendee directories from conference sites and event platforms. AI-powered extraction handles every event-site layout variation.
- AI extraction of speaker names + titles + companies + bios
- Extract from sponsor + exhibitor pages for company contacts
- Schema validation for consistent output across events
- CAPTCHA solving for gated attendee directories
Extract from any site.
AI-powered extraction adapts to any layout — no per-site config required.
Profile data — names, titles, company, work history. Pre-built templates with stealth browsing.
Business listings: names, addresses, phones, websites, ratings, categories.
Business contact info, categories, ratings, location data from listings and search results.
Niche directories — Clutch, G2, Capterra, trade-association member lists.
Team, about, and contact pages across any company site.
Speakers, sponsors, attendee directories from event platforms.
Member directories from bar associations, medical boards, trade groups.
Clutch, G2, Trustpilot company profiles + contact data.
Three steps to structured lead data.
Configure extraction request
Send target URL to AI Scraper with a natural-language prompt for the contact fields. Define a JSON schema for consistent output. For multi-page directories, submit each page URL — discover them from the sitemap or via the SERP API first.
AI extracts contacts
Page renders in stealth browser, CAPTCHAs solved automatically, LLM identifies and extracts contact fields. No CSS selectors. Names, emails, phones, titles, companies into structured JSON.
Receive structured data
Clean, schema-validated JSON. Extraction metadata. Validation warnings flag missing fields. Direct CRM import via API or CSV export.
Try lead extraction in the playground.
Drop any directory or contact page URL and see structured output.
curl 'https://api.ujeebu.com/ai-scraper' \
-H 'ApiKey: YOUR_API_KEY' \
-d '{
"url": "https://www.yelp.com/biz/blue-bottle-coffee-san-francisco",
"prompt": "extract business name, address, phone, email, category, hours",
"schema": {
"type": "object",
"properties": {
"name": { "type": "string" },
"phone": { "type": "string" },
"email": { "type": "string" }
},
"required": ["name"]
}
}'Built for production lead extraction.
AI-powered detection
LLMs identify and extract contact info from any layout. No CSS selectors or XPath. Natural-language prompts work across thousands of sites.
Email pattern recognition
Mailto links, obfuscated text ("name [at] company [dot] com"), JS-rendered emails, contact forms. Visible + hidden email patterns covered.
Phone extraction
International formats: local notation, country codes, extensions, tel: links. AI recognises phones across headers, footers, contact sections.
Multi-page extraction
Submit each page URL — or pull URLs from a sitemap or SERP API discovery — then run AI Scraper across the list as an async batch job.
LinkedIn templates
Pre-built templates for profile, company, and search pages. Standardised fields. Stealth mode avoids detection.
Schema-validated JSON
Define JSON schema → enforced output structure across all sources. Validation warnings on missing fields. Direct CRM import.
Frequently asked.
How does AI extraction differ from CSS-selector scraping?
Can I extract from sites that block scraping?
How do I extract a multi-page directory?
Output format?
How accurate is AI extraction?
Credit cost?
Start extracting leads today.
Use AI-powered extraction to pull structured contact data from any site in minutes.