Classifieds at scale. Real estate, jobs, vehicles, marketplace.
Millions of listings, every platform structured differently, prices and locations in a dozen formats. AI handles the variation; you get a clean schema across every site.
The classifieds extraction challenge.
Classifieds are the hardest data on the open web: heavy pagination, infinite scroll, split data between list and detail, every site different.
Thousands of listing pages per category — infinite scroll, AJAX results, anti-bot on deep pages. Trips most scrapers within hours.
Title + price + thumbnail on the list view; full description + seller info + contact details on the detail page. Need both, joined.
Full addresses, neighbourhoods, zip codes, coordinates, or just city names — inconsistent across listings on the same site.
"$1,200/mo", "negotiable", "POA", salary ranges, per-unit pricing. Different currencies, notations, conventions across markets.
From real estate to job markets.
Aggregate listings across every portal.
Properties from multiple platforms into one comprehensive database. Addresses, prices, square footage, bedroom and bathroom counts, listing agents. Monitor new listings, price drops, and market trends to power search portals and investment tools.
- Coverage across Zillow, Realtor.com, Redfin, local MLS
- Real-time alerts on new listings matching investment criteria
- Historical price tracking for market trends
- Automated lead generation for agents and investors
Job market intelligence at scale.
Extract postings from major job boards and company career pages. Titles, salary ranges, required skills, experience levels, company details, application URLs. Power hiring-trend databases, salary benchmarking, and job aggregators.
- Postings from Indeed, LinkedIn, Glassdoor, niche boards
- Salary benchmarking across industries + regions
- Hiring trend analysis for workforce planning
- Automated candidate-to-opening matching
Used-car pricing intelligence.
Scrape vehicle listings from automotive marketplaces — make, model, year, mileage, price, condition, dealer details. Build used-car price databases, track inventory, analyse pricing trends.
- Track pricing across AutoTrader, Cars.com, CarGurus
- Identify underpriced inventory for dealer acquisition
- Market valuation models from real listing data
- Competitive inventory monitoring
Watch peer-to-peer markets.
Track general classifieds and P2P marketplaces for product listings, pricing patterns, and seller activity. Craigslist, FB Marketplace, OfferUp, Mercari. Track categories, identify high-demand products, spot counterfeits.
- Monitor secondary-market pricing for product strategy
- Detect counterfeit products + unauthorised resellers
- Identify trending categories + emerging demand
- Resale price guides from real transaction data
Extract from every major classifieds platform.
Pre-tuned for the highest-volume sites; AI extraction works on every long-tail board.
Properties with prices, addresses, square footage, agent details. Map-based search + dynamic filtering.
Job postings with titles, salary ranges, company info, requirements. Paginated results, varied formats.
Vehicle listings: make, model, year, mileage, price, dealer info. Complex search filters + inventory pages.
Every category from housing to services. Regional subdomains, varying post formats, contact info + prices.
Product listings with prices, seller profiles, location, images. Infinite scroll + auth-gated detail pages.
Rental listings: nightly rates, availability calendars, amenities, host details. Map-based UI + date ranges.
International classifieds across multiple countries. Multi-language, local currencies, region-specific structures.
P2P marketplace listings — prices, conditions, shipping, seller ratings. Mobile-first layouts.
Three steps to clean classifieds data.
Point to a classifieds page
URL of a listing, category, or search results page. AI Scraper auto-detects structure, identifies individual listings, infers schema. For full-category coverage, build a URL list from the sitemap or paginate the known URL pattern, then submit as an async batch.
AI extracts structured data
AI reads each listing, pulls titles + prices + locations + descriptions + images + seller details. Normalises prices across formats, geocodes locations, follows links to detail pages.
Receive clean JSON
Structured listings via API response or webhook. Normalised fields ready for your database. Export to CSV/JSON or stream into data pipeline. Recurring batch runs catch new listings.
Try classifieds extraction in the playground.
Drop in any listing or category URL.
curl 'https://api.ujeebu.com/ai-scraper' \
-H 'ApiKey: YOUR_API_KEY' \
-d '{
"url": "https://www.zillow.com/homes/for_sale/Brooklyn-NY/",
"prompt": "extract all listings from this page as an array. for each: title, price, location, beds, baths, sqft, listing_url, image_url",
"premium_proxy": true
}'Built for production classifieds aggregation.
Listing-aware auto-detection
AI identifies listing structures on any classifieds page — titles, prices, descriptions, images, metadata — without manual configuration. Adapts to site changes.
Pagination + infinite scroll
Numbered pages, load-more buttons, infinite scroll, AJAX-loaded results. Build a URL list from the sitemap or by iterating page parameters, then run AI Scraper over the list as an async batch.
Location extraction
Addresses, neighbourhoods, zip codes, coordinates, city names — all normalised into consistent geo structure for filtering and analysis.
Price normalisation
Currencies, formats, salary ranges, per-unit pricing, rental rates, negotiable + auction bids. Consistent numeric values + currency codes for cross-market comparison.
Image gallery extraction
Thumbnails, full-size, gallery carousels. URLs from lazy-loaded galleries and JS slideshows. High-res images for property/vehicle/product listings.
Category-wide extraction
Feed sitemap-derived URL lists (or SERP-discovered URLs) of category and detail pages into an async batch — AI Scraper extracts each in parallel.
Frequently asked.
Can I scrape any classifieds site?
How do you handle pagination?
Can I extract both listing and detail-page data?
How does price normalisation work?
Can I monitor for new listings automatically?
What fields can I extract from a listing?
Explore other use cases
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