Data without a follow-up process is a spreadsheet hobby.
right for you if...
You sell to local B2B — contractors, offices, service businesses
Average deal $800+ (the math stacks cleanly above that)
You have one person who actually follows up on contacts
Your geography fits a radius, city, or county list
You want pipeline volume without headcount growth
not right if...
You sell to homeowners (wrong data type — B2B only)
Deal size under $400 (economics are tight below that)
No one to follow up — contacts sit in a spreadsheet
You need enterprise SaaS contacts — use Apollo or ZoomInfo
You want fully autonomous with zero monthly check-ins
How we work together
Three ways to get started
Self-serve, partner with us, or let Casey build and manage everything. Same engine — different levels of involvement.
Done With You
Build it with you
Typical lift: 2–4% revenue recovery
- Casey-built filters for your ICP
- Up to 300 leads / day
- Daily Slack delivery
- Advanced enrichment (LinkedIn, tech stack)
- + 4 more
Done For You
Hand it off completely
Typical lift: 3–5% revenue recovery
- Curated + AI-scored leads (top 10% only)
- Up to 500 leads / day
- Daily Slack delivery + weekly digest email
- Full enrichment + signal-of-intent scoring
- + 4 more
Is scraping public Google Maps data legal?
Yes. We scrape publicly available business data — the same information anyone can see on Google Maps. Business phone numbers, addresses, and website URLs that are publicly listed are standard prospecting data. We don't scrape private individuals, social profiles behind a login, or anything outside of publicly visible business listings.
How fresh is the data? Does it go stale?
Most clients run daily scrapes. New businesses open constantly and existing ones update their Maps listings regularly. You get a steady feed of records, not a one-time dump. The scraper is built to pull new listings first and skip anything already in your dedup history.
What's the accuracy on phone numbers and emails?
Phone numbers pulled directly from Google Maps are accurate around 85% of the time — they come straight from the business's own listing. Email accuracy is lower by default because most Maps listings don't include email, so we use format inference and deliverability validation to filter bad addresses before they reach your CRM.
Why not just buy a list from Apollo or ZoomInfo?
Apollo and ZoomInfo are great for enterprise SaaS contacts inside companies. For local B2B — plumbers, contractors, dental offices, landscapers — those databases are thin, expensive per-contact, and often 6 to 18 months stale. We pull directly from Maps, which is updated by business owners continuously.
What platforms do you push leads into?
HubSpot, Salesforce, Pipedrive, and the Surfscaler CRM natively. For anything else, we push to a webhook URL or deliver as a structured CSV to a Google Sheet on schedule. If your CRM has an API, we can hit it.
Can I target multiple cities or industries at once?
Yes. We run parallel scrapers for different geographies or verticals. Each additional target profile adds a small monthly fee. Most clients run 2 to 4 profiles — for example, a different scraper for roofers vs. HVAC vs. plumbers within the same metro.
What about CAN-SPAM and cold outreach compliance?
Scraping public data to build a list is legal. How you contact the people on that list is governed by CAN-SPAM and TCPA, which apply to your outreach, not the data collection. The short version: don't blast everyone with the same message, include unsubscribe options, and don't call numbers on the DNC registry.
Most businesses I work with have a closing rate they’re happy with. They just don’t have enough people entering the top of the funnel. A well-targeted scraper running daily puts 400 to 800 verified contacts into your CRM every week — no manual research, no list buying, no data entry. The pipeline problem becomes a follow-up problem. That’s much more solvable.
CASEY HAMILTON
PROFITWARE SOLUTIONS · ROCHESTER NY
FILED: 05-20-2026
1 Google Maps listing accuracy sourced from Google’s own Maps platform data policies; freshness claims based on observed scrape cycles.
2 ROI range assumes $1k+ average deal size and active outbound follow-up process. Your results will vary based on close rate and response rate.
3 Phone accuracy figure (~85%) is our observed mean across B2B service verticals. Residential listings average lower.