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2025
Automated lead generation system that extracts, enriches, and scores business data from Google Maps — delivering qualified prospects with emails, phones, and intent signals directly to your CRM.
Discuss ProjectA digital marketing agency needed a steady flow of local business leads (restaurants, salons, clinics, etc.) to feed their cold outreach. Manual prospecting was taking 2 sales reps 20+ hours/week and yielding inconsistent results.
Build an automated system that scrapes Google Maps for businesses matching specific criteria, enriches the data with email/phone/website, scores lead quality, and pushes qualified leads into HubSpot CRM automatically.
Built a Playwright-based scraper that navigates Google Maps, extracts business name, address, phone, website, rating, review count, and category. Handles pagination, captchas, and rate limiting gracefully.
Added email finder (Hunter.io API), social media profile extraction, website technology detection (BuiltWith), and Google My Business data parsing. Each lead gets 15+ data points.
Built ML-based scoring model: high review count + active website + no existing agency = hot lead. Low ratings + no website = perfect prospect for agency services. Scores 1-100 with explanation.
Automated pipeline: scrape → enrich → score → deduplicate → push to HubSpot with tags. Daily cron job runs overnight, morning team has fresh leads ranked by quality.
Dashboard-first design — the agency needed to see lead flow, quality distribution, and conversion rates at a glance. Clean data tables with one-click export and CRM push.
A Playwright-based scraper navigates Google Maps, extracting business data across 15+ fields — name, address, phone, website, rating, review count, and category. The enrichment pipeline adds email (Hunter.io), social profiles, and technology detection (BuiltWith). Anti-detection measures handle pagination, captchas, and rate limiting gracefully.
An ML-based scoring model ranks leads 1-100 with explanations. High review count + active website + no agency = hot lead. Low ratings + no website = perfect prospect for services. The automated pipeline scrapes, enriches, scores, deduplicates, and pushes to HubSpot with tags. Daily cron jobs run overnight so the team wakes up to fresh, ranked leads.
Compared AI-scored leads vs manually selected leads over 60 days. AI-scored leads had 2.3x higher conversion rate to meeting. Enrichment accuracy: 91% for emails, 87% for phone numbers.
Leads/Week
Cost per Lead
Pipeline Growth
Generates 2,000+ enriched leads per week. Replaced 40 hours/week of manual prospecting. Agency’s outbound pipeline grew 300%. Cost per lead dropped from $2.50 (manual) to $0.12 (automated). 2 sales reps redeployed to closing.
The scoring model was the real value-add. Raw leads are cheap; qualified leads are gold. The ML scorer’s ability to predict which businesses were most likely to need (and pay for) agency services made the difference between spam and targeted outreach.
