Leandro Klauck

Leandro KlauckOct 22, 2026

Building local prospecting pipelines with Claude + Mapsdata.io + Wispr Flow "A list is a build, not a query." If you have ever tried building a custom Google Maps scraper and waterfall enrichment setup, you know the pain: - 6 to 20 hours configuring HTTP webhooks and formulas - Expensive action fees (you know your weekly session limits) - High technical friction just to get basic local owner details Here is a modern GTM workflow using the Mapsdata.io MCP (Model Context Protocol) connected directly to Claude Code: Dictate the search criteria using Wispr Flow: "Find 100 e-commerce businesses in Athens. Pull Google category classifications, review counts, average ratings, Decision Maker 1 and 2, and return only Safe verified emails." Claude Code calls the Mapsdata.io MCP in real time. It handles pagination, category matching across Google's 4,000 backend business codes, and multi-source enrichment automatically. Output: A fully enriched CSV with direct emails, mobile numbers, and search rankings in minutes. No bloated 20-step scraper setups. No manual spreadsheet formatting. Just natural language prompts turning live Google Maps listings into actionable B2B outbound lists. Real experience from a non-technical guy, but still tech-savvy 😆

Leandro KlauckOct 20, 2026

Booking meetings with local businesses has always been treated like a black box. Most GTM teams try to run the standard SaaS outbound playbook: - They open Apollo, ZoomInfo, or Prospeo. - They filter by city and industry. - They pull a list of 5,000 saturated leads and blast them with generic cold emails. The problem? Local business owners do not hang out on LinkedIn 90% of the time. If you search for 120,000 local contractors across the US on a traditional corporate database, you are lucky to find 6,000. That is under 5% market coverage. Where does 100% of the local market live? Google Maps. I ran a live test using Mapsdata.io (free trial and honest numbers)  to pull dental clinics in Aveiro, Portugal: - 100 businesses pulled directly from live map listings - 99 with verified phone numbers - 65 with active websites - 55 with direct decision-maker emails - Average rating: 4.2 stars (it seems people like dentists :)) Instead of raw website scrapes with junk emails, the platform maps out Decision Maker 1 and Decision Maker 2. It even tags each email with a built-in "Safe" verification status so you do not risk bounces. The next test showed the results for Plumbers in London in the image below. The results are interesting, though.

Leandro KlauckOct 28, 2026

Here is how we run an autonomous prospecting agent using the Mapsdata.io MCP (Model Context Protocol) inside Claude Code: 1. Voice prompt (Wispr flow) "Find 300 plumbers in a location via Mapsdata.io. Pull Decision Maker 1 and 2, filter for safe, verified emails, and pull verified phone numbers." 2. Autonomous extraction & hygiene: The agent queries MapsData directly. It filters across Google's 4,000 backend categories, strips out junk listings, and applies triple verification automatically. 3. Multichannel list routing DM/Email direct decision-makers with a verified "Safe" badge. Call verified phone lines Crazy that we can find decision-makers in local businesses with that level of accuracy!