B2B lead enrichment API that resolves and deduplicates contacts across Apollo, LinkedIn, and web scrapes into a single canonical record with confidence scores
Every B2B team is paying for 3 overlapping data sources and merging them manually in spreadsheets
Built for sales teams and lead generation agencies.
Sell accuracy and deduplication as a layer on top of existing tools rather than competing with them directly
“18 hours ago — We are seeking a skilled freelancer to scrape B2B leads data from various sources. The ideal candidate will have experience in data mining ...…”
The receipts — real demand
“18 hours ago — We are seeking a skilled freelancer to scrape B2B leads data from various sources. The ideal candidate will have experience in data mining ...”
Full dossier
Unlock the full dossier — free
Every corroborating quote, the source receipts, and the community echo. One email, no payment.
demand score 6.9 — the receipts are below
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Sales teams and lead gen agencies need B2B lead lists from multiple sources in one format. 10 monthly searches suggest low search volume but real, ongoing demand from agencies and SDR teams.
Competition & the opening
Apollo.io, ZoomInfo SalesOS, Clay, Cognism, UpLead, and Lusha all offer B2B lead scraping and standardization. Competition is 9/10. The gap is flexibility: teams wanting to mix free sources (LinkedIn, Apollo's free tier, company websites) with paid enrichment without lock-in to a single vendor.
real pricing Apollo.io from $49/user/month; free tier available · ZoomInfo SalesOS from $14,995/year (Professional); Advanced $24,995-$30,000/year; Elite $39,995+/year
What's hard to build
Web scraping at scale requires proxy infrastructure, IP rotation, and handling CAPTCHA/anti-bot defenses without getting rate-limited or blocked. Standardizing company data (legal name vs. aliases, HQ vs. subsidiary offices, revenue ranges) across sources requires fuzzy matching and manual rules. Data accuracy and compliance with scraping ToS and GDPR is a constant friction.
Why now
Apollo.io and ZoomInfo are expensive (>$50/mo); AI-powered scraping + standardization now commoditized; demand for cheaper, fresher leads remains high.
How you'd monetize
freemium ($0 basic, 100 leads/mo; $19-39/mo for 1000+ leads) or pay-per-lead ($0