📩📍 Google Maps Email Extractor Pro avatar

📩📍 Google Maps Email Extractor Pro

Pricing

from $2.50 / 1,000 results

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📩📍 Google Maps Email Extractor Pro

📩📍 Google Maps Email Extractor Pro

Search Google Maps by keyword and extract verified business emails, phones, websites, addresses, ratings and social profiles. DNS/MX-validated emails, confidence scoring, CSV/JSON export. Built for lead generation and local outreach.

Pricing

from $2.50 / 1,000 results

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Developer

Virtual Footprint LLC

Virtual Footprint LLC

Maintained by Community

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1

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a day ago

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Why use this Actor?

Google Maps itself only shows you a name, address, and rating. Turning that into a usable business record -- an actual contact email, a phone number, what technology the business's website runs on -- normally means visiting each listing's website by hand.

This Actor does that automatically for every result: it finds the business on Google Maps, visits its website when one exists, and extracts contact details and technology signals from it.

What you get

📍 Business listings

Name, address, rating, review count, and Google Maps link per business.

📧 Contact extraction

Emails and phone numbers pulled from the business website, with optional MX/DNS email verification.

🧰 Tech stack detection

Open-source fingerprinting of CMS, frameworks, and analytics tools on the business website.

Facebook, Instagram, LinkedIn, and other social links found on the website.

Execution modes

ModeBehavior
fast_lookupCache-first, base Google Maps results only, targets under 800ms.
enrich (default)Full multi-source enrichment: emails, phones, tech stack, social links.
batchQueue-based enrichment for large query lists.

Use cases

  • Build a business contact list by category and city
  • Identify which local businesses use a specific technology or platform
  • Pull social profile links alongside contact details for outreach
  • Feed enriched business records into a CRM or lead-scoring pipeline (see the companion b2b-lead-enrichment-suite Actor, which calls this one internally)

Input

FieldTypeDefaultDescription
queriesarray of strings["restaurants in New York"]Search queries or business names.
modeselectenrichfast_lookup, enrich, or batch (see above).
maxResultsinteger25Max listings per query (1-1000).
extractEmailsbooleantrueExtract emails from business websites.
verifyEmailsbooleanfalseValidate extracted emails via open-source MX/DNS check (~3s per email, no paid API).
extractPhonesbooleantrueExtract phone numbers.
extractSocialMediabooleantrueExtract social profile links.
includeTechStackbooleantrueDetect website technology stack.
includeReviewsbooleantrueInclude rating and review count.
language / countrystringen / usSearch locale.
proxyConfigurationobjectApify ResidentialGoogle Maps blocks datacenter IPs -- residential proxy is on by default and strongly recommended.

Input example

{
"queries": ["coffee shops in Seattle"],
"mode": "enrich",
"maxResults": 25,
"extractEmails": true,
"extractPhones": true,
"includeTechStack": true
}

Output

One dataset row per business found:

FieldTypeDescription
name / addressstringBusiness identity.
rating / reviewCountstringGoogle rating and review count.
googleMapsUrlstringDirect Google Maps link.
websitestringBusiness website, if found.
emails / phonesarrayContact details extracted from the website.
socialMediaarrayDetected social platform names.
techStackarrayDetected technologies on the business website.
confidenceScorenumber0-1 confidence in the extracted data.
sourcesarrayWhich providers contributed to this record (e.g. google_maps, website_scraper).
providerHealthobjectPer-provider status/latency diagnostics for this record.
cacheStatusstringhit or miss.
modestringExecution mode used.
extractedAtstringISO timestamp.

Sample output

Real result from a live run:

{
"name": "Piedmont Café",
"address": "1215 Seneca St Ste 100, Seattle, WA 98101",
"rating": "4.8",
"reviewCount": "290",
"website": "https://piedmontseattle.com/",
"emails": ["eben@eyebytes.com"],
"phones": ["(206) 659-9899"],
"socialMedia": [],
"techStack": ["Angular", "Google Analytics", "Google Tag Manager", "Bootstrap", "Magento"],
"confidenceScore": 1,
"sources": ["google_maps", "website_scraper"],
"cacheStatus": "miss",
"mode": "enrich",
"extractedAt": "2026-08-01T16:03:21.942293Z"
}

Pricing

Pay-per-result: $2.50 per 1,000 enriched results ($0.0025/result), plus a small one-time Actor Start fee. You only pay for businesses actually returned -- no charge for empty/failed lookups. It's also used internally by the b2b-lead-enrichment-suite Actor for lead scoring on top of these results.

Notes and limitations

  • Google Maps aggressively blocks datacenter IPs -- residential proxy is enabled by default and strongly recommended; results may come back empty without it.
  • Contact/tech-stack extraction depends on the business having a public website; listings without one will still return Google Maps data (name, address, rating) with empty emails/phones/techStack.
  • verifyEmails adds real latency per email (~3s) since it performs a live MX/DNS check -- leave it off if speed matters more than pre-validated addresses.

Frequently asked questions

What's the difference between the three modes? fast_lookup skips website enrichment entirely for speed; enrich (default) visits each business's website for contacts/tech stack; batch is built for large query lists processed via a queue.

Do I need my own proxy? No -- Apify Residential proxy is the default and is what makes Google Maps scraping work reliably; you can override it but datacenter-only proxy is likely to return empty results.

Does verifyEmails guarantee the email is real? No -- it confirms the domain has valid MX/DNS records, which rules out typos and dead domains, but doesn't confirm the specific mailbox exists.

Start extracting business data

Add your search queries, pick a mode, and run the Actor. Enable verifyEmails if you need pre-validated contact addresses at the cost of extra run time.

Used internally by B2B Lead Enrichment Suite for lead scoring on top of these results. Also see Website Contact & Company Extractor if you already have a domain list and don't need the Google Maps search step.