Standardised company profiles. From any website.
Competitive intel, due diligence, vendor research, market mapping — all easier when company data is in a consistent schema. Extract names, executives, tech stack, financials, and contacts from anywhere on the web.
Why "just look at their website" doesn’t scale.
Company data is scattered, unstandardised, and changes constantly. Manual research caps out at ~5 companies/day per analyst.
Company info is spread across about, team, contact, careers, footer — no single source of truth.
Every company presents data differently. Traditional selectors break on every redesign.
Most companies are private with no structured feeds. Direct website scraping is the only path.
Companies hire, move, change tech. Stale data = bad decisions. Continuous monitoring is the only cure.
How research teams use it.
Real-time competitor profiles.
Track changes in product offerings, pricing, leadership, tech stack, strategy. Build comprehensive profiles by extracting from multiple pages — about, careers, press releases, products. Detect market shifts as they happen.
- Real-time monitoring across dozens of competitors
- Automated alerts on strategic changes
- ~90% reduction in manual competitive research time
- Data-driven positioning + market strategy
Investment screening at 10x speed.
Extract company fundamentals, leadership bios, funding history, and financial indicators from corporate sites, SEC filings, and financial databases. Standardised profiles for deal evaluation including team size, revenue signals, tech, and growth indicators.
- 70% faster due diligence for investment screening
- Standardised profiles across hundreds of targets
- Early detection of growth signals and risk
- Comprehensive data rooms from public web
Structured supplier comparison.
Evaluate vendors by extracting size, certifications, service areas, client lists, and operational details. Compare systematically — pricing models, industries supported, compliance certifications, customer testimonials.
- Structured vendor comparison matrices built automatically
- 60% faster vendor evaluation + shortlisting
- Reduced procurement risk via comprehensive profiling
- Continuous vendor monitoring
Map entire categories.
Build market maps by extracting company data from industry directories, registries, and individual websites at scale. Aggregate firmographic data — size, location, founding year, tech, target customers — across full verticals.
- Complete market visibility with hundreds of companies
- Identify whitespace and underserved segments
- Track consolidation + new-entrant activity
- Data-backed market sizing + TAM
Extract from the web’s most valuable business data sources.
Mix public web with structured data sources for the most complete profiles.
Direct extraction — about, team, contact, products, careers. Feed us a list of URLs (sitemap or manual) and AI Scraper builds complete profiles.
Funding rounds, investors, founding dates, employee counts, acquisitions. Startup + growth-stage intelligence.
Size, industry, HQ, employee growth, recent updates. Key executives and org structure.
Ratings, employee reviews, salary data, CEO approval, benefits. Insider perspectives on culture + operations.
Financial metrics, valuation, deal history, investor profiles. Institutional-grade intelligence.
Government business registries, trade associations, industry-specific databases. Official data + licences.
Financial statements, executive comp, risk factors, subsidiaries. Parse 10-K, 10-Q, proxy statements.
Addresses, phones, hours, ratings, review counts. Local intel, franchise mapping, geographic analysis.
Three steps to structured company intelligence at scale.
Define target companies
Provide a URL list, sitemap, or use the SERP API to discover companies from directories. Configure schema for the data points you need — name, address, executives, tech stack, financials, social. AI Scraper accepts natural-language prompts.
Extract and assemble
Submit each relevant page — about, team, contact, products — as an async batch job. AI extracts structured data from each page. Anti-detection + JS rendering handle dynamic and protected sites.
Normalise and export
Auto-normalised into consistent structure regardless of source. Firmographic fields standardised. Export JSON/CSV or integrate via API with your CRM/warehouse/BI.
Drop in any company URL.
See a complete structured profile come back from any company’s public web presence.
curl 'https://api.ujeebu.com/ai-scraper' \
-H 'ApiKey: YOUR_API_KEY' \
-d '{
"url": "https://stripe.com/about",
"prompt": "extract company name, headquarters, founding year, executives (name + title), tech stack, social links",
"premium_proxy": true
}'Built for production company intelligence.
Multi-page profile assembly
Submit each relevant URL — homepage, about, team, contact, products — and merge AI Scraper output into a single unified record sourced from every page.
Executive extraction
Leadership names, titles, bios, photos. AI identifies C-suite, board, department heads — even in non-standard layouts. Linked to LinkedIn + social.
Tech-stack detection
Analyses website source + job posts + partner badges. Detects analytics, CMS, cloud, marketing tools, languages. Technographic profiles for targeting.
Financial data extraction
Revenue, funding, valuations, financial metrics from websites, press releases, SEC filings. Track rounds, lead investors, post-money valuations.
Social link discovery
Auto-discover all social profiles linked from a site. Validate against official accounts. Complete social footprint maps.
Firmographic normalisation
Standardised categories — industry, size range, geo, business type. SIC/NAICS mapping. Normalised addresses, currencies, dates for unified analysis.
Frequently asked.
What company data can be extracted?
How do you handle data split across pages?
Can I extract from protected / JS-heavy sites?
How accurate is AI extraction?
Can I extract at scale?
Output formats?
Start extracting company intelligence today.
Join teams automating competitive intelligence, due diligence, and market research with AI-powered company data extraction.