Google Maps List Builder GTM Skill

A self-contained tool for scraping business listings from Google Maps. Give it a search query (e.g., "pizza restaurant") and a location (zip code, city, or coordinates), and it returns structured data for every matching business — written to CSV.

How this fits in the cold email flow

Google Maps gives you COMPANIES (name, domain, phone, address, ratings). It does NOT give you PEOPLE. To run cold email:

Run this skill → CSV of businesses with company_domain
Run /icp-prompt-builder on a sample of 50 — tune a qualification prompt to filter out bad fits before paying for downstream enrichment
Run /blitz-list-builder with the filtered CSV → adds owners/managers to each business
Run /email-waterfall → fills in missing emails
Run /cold-email-starter-kit's smartlead-add-leads.ts → upload to Smartlead

This skill is only the first step.

Required step: Qualify with /icp-prompt-builder

This is a required step. Do not skip it.

Google Maps will happily return 10,000 "pizza restaurants in Illinois," but most of those won't match your actual ICP (maybe you only want 50-200 seat operators, or only ones without online ordering). Before spending on enrichment, sample ~50 results and run /icp-prompt-builder:

Evaluate 10 results with an AI qualification prompt
You flag "this one should be NO, they're a chain franchise"
Refine, run next 10
Stop when 2 rounds show no corrections
Apply tuned prompt to filter the rest of the scrape

Why required: downstream owner-finding (via /blitz-list-builder) and email waterfall cost $0.10-$0.30 per contact. On a 10,000-business scrape, that's $1K-$3K. Qualifying upfront saves 50-80% of that spend on average.

What You Need Before Starting

Node.js 18+ and npm installed
A RapidAPI account (free tier available) with a subscription to the Maps Data API:
- Sign up at https://rapidapi.com
- Subscribe to the API: https://rapidapi.com/alexanderxbx/api/maps-data
- Copy your RapidAPI key from the dashboard (it's in the X-RapidAPI-Key header on any endpoint page)

That's it. No Google Cloud account, no OAuth, no billing setup beyond RapidAPI.

Project Setup

Create a new project directory and initialize it:

mkdir google-maps-scraper && cd google-maps-scraper
npm init -y
npm install typescript bottleneck
npm install -D @types/node tsx

Add to package.json scripts:

{
  "scripts": {
    "scrape": "tsx src/index.ts"
  }
}

Create tsconfig.json:

{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ESNext",
    "moduleResolution": "bundler",
    "esModuleInterop": true,
    "strict": true,
    "outDir": "dist",
    "rootDir": "src",
    "skipLibCheck": true
  },
  "include": ["src"]
}

Set your API key as an environment variable:

export RAPIDAPI_KEY=your_key_here

Or create a .env file (add .env to .gitignore):

RAPIDAPI_KEY=your_key_here

File Structure

google-maps-scraper/
  data/
    us-zip-codes.csv   # 42,734 US zip codes with city, state, lat/lng, population
  src/
    index.ts           # CLI entry point
    client.ts          # RapidAPI Maps Data client with rate limiting
    types.ts           # TypeScript interfaces
    csv.ts             # CSV export
    zips.ts            # Zip code loader (filter by state, city, population)

Bundled Zip Code Database

The repo includes data/us-zip-codes.csv — a complete US zip code reference with 42,734 entries. Columns:

zip,primary_city,state,timezone,area_codes,world_region,country,latitude,longitude,irs_estimated_population

This lets you scrape an entire state or metro area without manually listing zip codes. The src/zips.ts loader provides filtering by state, city, and minimum population.

Core Files

Moved to references/core-files.md — the full source of every file in the project (copy them in when setting up).

Running It

Local CLI

# Search pizza places in 3 NYC zip codes
npm run scrape -- --query="pizza restaurant" --zips=10014,10013,10012

# Search ALL dentists in Texas (zips with population >= 5000)
npm run scrape -- --query="dentist" --state=TX --min-pop=5000

# Every gym in California (all 2,657 zip codes — takes a while)
npm run scrape -- --query="gym" --state=CA

# Search dentists across specific cities
npm run scrape -- --query="dentist" --cities="Austin TX,Dallas TX,San Antonio TX"

# Custom output file
npm run scrape -- --query="gym" --zips=90210 --output=./data/gyms.csv

Programmatic Usage

import { GoogleMapsClient } from './client.js';

const client = new GoogleMapsClient({
  apiKey: process.env.RAPIDAPI_KEY!,
  requestsPerSecond: 2,
});

// Simple search
const places = await client.search({
  query: 'coffee shop in 94105',
  limit: 20,
});

// Search with coordinates
const { lat, lng } = await client.geocode('94105');
const nearby = await client.search({
  query: 'coffee shop',
  lat,
  lng,
  zoom: 14,
  limit: 20,
});

Deploying as a Web App (Optional)

Moved to references/web-app.md — optional web UI deployment.

API Reference

The underlying API is the Maps Data API on RapidAPI: https://rapidapi.com/alexanderxbx/api/maps-data

Key Endpoints Used

Endpoint	Purpose	Example
`searchmaps.php`	Search businesses by query + location	`?query=pizza+in+10014&limit=20`
`geocoding.php`	Convert address/zip to lat/lng	`?query=10014,+US`
`nearby.php`	Search near a lat/lng point	`?query=pizza&lat=40.73&lng=-74.00`
`place.php`	Get full details for one business	`?place_id=ChIJ...`

Rate Limits

The free tier on RapidAPI has request limits (check your plan). The client is hard-coded to 2 requests/second with automatic retries on 429s. Adjust requestsPerSecond if your plan allows more.

Response Fields

Each result includes:

place_id — unique Google Maps identifier
name — business name
address — full street address
phone — phone number (if listed)
website — website URL (if listed)
rating — star rating (1-5)
reviews_count — number of Google reviews
lat / lng — coordinates
types / category — business categories (e.g., "pizza_restaurant")

Tips

"query in zipcode" format works best for US searches. No coordinates needed.
20 results per search is the max. To get more coverage, search multiple overlapping zip codes.
Dedup by place_id — the same business often shows up in adjacent zip code searches.
Cuisine/category filtering: The types field tells you what kind of business it is. Use it to filter out irrelevant results (e.g., filter out "bar" when searching for "restaurant").
Cost: Check your RapidAPI plan. The free tier usually gives you enough for testing. Paid plans are cheap for bulk scraping.

What to do next

Run /icp-prompt-builder on a 50-business sample (required step above). Then /blitz-list-builder with the filtered domains to find owner contacts — Google Maps returns businesses, not people.

After owner discovery: /email-waterfall to fill missing emails, then /list-quality-scorecard to grade.

Or wait: if your scrape returned <200 businesses, your query + location is too narrow. Widen before proceeding.

Related skills

/icp-prompt-builder — required qualification pass
/blitz-list-builder — find owner contacts at each business
/email-waterfall — fill missing emails
/list-quality-scorecard — grade the final list