Extract Contact Info from Google Maps: Full Guide

To extract phone numbers and emails from Google Maps, run a map scraper that pulls business listings by search query and location, then enrich those results with website-scraped emails. Google Maps exposes phone numbers and websites directly on listings, but emails require a second pass — scraping each business's contact page or running a domain-to-email tool. The full pipeline takes about 5–15 minutes per 1,000 leads with the right actor.

Quick Answer

To extract contact info from Google Maps at scale, use a scraper that accepts a search query (e.g., "dentists in Austin") and returns structured data: business name, phone, website, address, rating, and category. Phone numbers come directly from the Maps listing. Emails are not on Google Maps, so you need a second step that visits each business's website and extracts mailto: links, contact pages, or footer addresses. Tools like Apify actors handle both steps in one workflow, costing roughly $0.50–$2 per 1,000 records depending on enrichment depth.

What contact data is actually available on Google Maps?

Google Maps listings publicly show:

• Business name
• Phone number (about 85% of listings have one)
• Website URL (about 60–70% of listings)
• Physical address
• Category (e.g., "Plumber", "Coffee shop")
• Hours, rating, review count

What's not on Google Maps:

• Email addresses
• Owner or decision-maker names
• Social profiles (occasionally, but unreliable)

This matters because most outreach campaigns need email. So the workflow is always two steps: scrape Maps, then enrich from the business website.

How do I scrape Google Maps without getting blocked?

Google's anti-bot systems are aggressive. Building your own scraper means handling:

• Rotating residential proxies ($50–$200/month)
• Headless browser fingerprinting (Playwright stealth plugins)
• CAPTCHA solving (2Captcha, ~$3 per 1,000)
• Pagination quirks — Maps shows max 120 results per query

Most people skip the infrastructure and use a hosted actor. The Google Maps Scraper & Tech Stack Audit actor on Apify handles proxies, browser automation, and parsing — you pass it a query like "law firms in Denver" and get back a JSON array.

Example input:

{
  "searchTerms": ["dentists in Austin, TX"],
  "maxItems": 500,
  "language": "en"
}

Example output per record:

{
  "name": "Smile Dental Group",
  "phone": "+1 512-555-0123",
  "website": "https://smiledentalaustin.com",
  "address": "123 Congress Ave, Austin, TX",
  "category": "Dentist",
  "rating": 4.7,
  "reviewCount": 312
}

How do I get emails from Google Maps listings?

Since Maps doesn't expose emails, you enrich the website field. Three approaches, in order of cost and accuracy:

1. Scrape the website directly (cheapest)

Visit each domain, check /contact, /about, and the footer. Look for mailto: links and regex-match email patterns. Hit rate: 40–55% of small businesses display an email publicly. Cost: ~$0.50 per 1,000 sites if you batch.

2. Use an email-finder API (medium cost)

Hunter.io, Apollo, or Snov.io take a domain and return emails plus job titles. Hit rate: 60–75%. Cost: $0.02–$0.05 per lookup, so ~$30–$50 per 1,000.

3. Combine both (best results)

Run the cheap scrape first, then fall back to a paid API only for misses. This gets you 80%+ coverage at half the API cost.

The Apify actor mentioned above does step 1 automatically when you enable the tech-stack audit — it visits each site, which means you can pipe its raw HTML output into your own email regex with no extra requests.

What does a complete extraction workflow look like?

Here's the pipeline most agencies and SDR teams run:

1. Define your ICP search queries — e.g., 50 cities × 10 categories = 500 queries
2. Run the Maps scraper — outputs ~50,000 leads with name, phone, website
3. Filter — drop listings with no website (those won't yield emails)
4. Enrich — visit each site, extract emails, detect tech stack
5. Dedupe — same chain often appears in multiple cities
6. Push to CRM — HubSpot, Pipedrive, or a Google Sheet

A useful side benefit of tech-stack detection: you can segment outreach. If you sell a Shopify app, you only want Shopify stores. If you build WordPress plugins, filter for WordPress sites. The audit step labels each record with its CMS, analytics, payment processor, and frameworks.

Sample enriched record:

{
  "name": "Austin Coffee Roasters",
  "phone": "+1 512-555-0199",
  "email": "hello@austincoffeeroasters.com",
  "website": "https://austincoffeeroasters.com",
  "techStack": ["Shopify", "Klaviyo", "Google Analytics 4"],
  "category": "Coffee shop"
}

How much does it cost to extract 10,000 leads?

Real numbers for a typical run:

Compare that to buying a list from ZoomInfo or Apollo: $0.50–$2 per contact, or $5,000–$20,000 for 10,000. Scraping is 50–200x cheaper, and you control the source quality.

Is it legal to scrape Google Maps?

Scraping publicly displayed business information — names, phones, addresses, websites — is generally permissible in the US under cases like hiQ v. LinkedIn, but Google's Terms of Service prohibit automated access. Practical guidance:

• Public business data is low-risk — phones and addresses are published for the purpose of being contacted
• Personal data triggers GDPR/CCPA — be careful with EU/California consumers
• Don't resell scraped data as a "database product" — that's where lawsuits happen
• Respect robots.txt on business websites during enrichment
• CAN-SPAM compliance when you email — valid sender, unsubscribe link, physical address

For outbound B2B sales to publicly listed businesses, this workflow is what every modern SDR team does. Just don't spam, and honor opt-outs.

What's the difference between Maps scrapers on the market?

Quick comparison of common options:

• Decodo / Smartproxy — proxy-first, you bring your own scraper code
• Livescraper — UI-driven, $0.002 per record, no tech-stack data
• Datablist — focused on dedupe and enrichment, weaker on raw scraping
• Apify Maps actors — flexible, code-optional, pay-per-use, integrates with 100+ enrichment actors
• Practical.tools' Google Maps Scraper & Tech Stack Audit — combines scraping with CMS/tech detection in one run, useful if you sell SaaS or services tied to specific platforms

If you only need names and phones, any scraper works. If you need a qualified list — say, "Shopify stores in Texas with a Klaviyo integration and a public email" — the combined audit approach saves you from running three separate tools.

How do I avoid scraping the same business twice?

Dedupe on place ID (Google's unique identifier per listing) — never on name or phone, which have typos and variations. Every quality Maps scraper returns a placeId field; pipe results through a Set keyed on that ID.

For cross-city dedupe (a national chain showing up in 50 search results), dedupe on domain after extracting the root domain from each website URL. This collapses austinlocation.starbucks.com and dallaslocation.starbucks.com into one record — usually what you want for SaaS outreach, the opposite of what you want for store-level marketing.

FAQ

Q: Can I extract emails directly from Google Maps? No. Google Maps does not display email addresses on business listings. You have to follow the website link from each listing and scrape the email from the business's own site, or use an email-finder API on the domain.

Q: How many Google Maps results can I scrape per query? Google caps results at roughly 120 per search query. To get more, split your search by location (cities, ZIP codes) or by category. A query like "restaurants in California" returns 120; "restaurants in Sacramento" + "restaurants in San Diego" + 50 other cities returns thousands.

Q: What's the email hit rate when enriching scraped Maps data? Expect 40–55% if you only scrape business websites for mailto: links, and 70–80% if you combine website scraping with a paid email-finder API. The remaining 20–30% genuinely have no discoverable email and require contact forms or LinkedIn outreach.

Q: Do I need coding skills to extract contact info from Google Maps? No. Hosted actors on Apify run from a web UI — you fill in a search query and click Run. Coding helps if you want to chain scraping → enrichment → CRM upload into one automated workflow, but it's not required for a one-off lead list.

Q: How fresh is scraped Google Maps data? Data is live at scrape time, so it's as fresh as Google's index. Phone numbers and addresses for established businesses change slowly (under 5% per year), but new openings and closures shift monthly. For active outreach lists, re-scrape every 60–90 days to stay accurate.