What does Google Maps Lead Scraper do?

Scrape Google Maps businesses with verified emails, phone numbers, social media profiles, star distribution, opening hours & service options — no API key needed. 50+ niches, 4 output formats (Default, HubSpot, Salesforce, Full Contact), pay-per-result at $3/1K. Works with AI agents (Claude, GPT, Cursor) via MCP.

Unlike most Google Maps scrapers that use heavy browser automation (Playwright/Puppeteer at 1-4 GB memory), this scraper uses an HTTP-only approach with Chrome TLS fingerprinting. That means 32× less memory, ~2.7× faster wall time (parallel query execution by default), and the lowest cost on Apify — while delivering 40+ data fields per lead including star distribution and service options that most competitors don't offer.

Why choose this over 5 separate Google Maps scrapers?

• Cheapest on Apify — $3/1K leads with email + social + verification all included (compass charges $4/1K + $4/1K for enrichment + $100/1K for social)
• Free email extraction + verification — 3-layer pipeline with DNS/SMTP verification + automatic UA-rotation retry on transient 403/429/503 blocks
• Free social media (7 platforms) — LinkedIn, Facebook, Instagram, YouTube, X, Pinterest, TikTok included (compass charges $100/1K extra)
• 4 CRM output formats — Default, HubSpot, Salesforce, Full Contact — export directly to your CRM
• 50+ business niches — auto-generated search queries optimized per niche (HVAC, dentist, lawyer, plumber, etc.)
• Parallel query execution — up to 5 search queries in parallel (default 3) for faster runs; zero cost to you
• Resume-friendly — crashed a long run? Pass resumePlaceIds from the partial dataset to skip already-scraped places; no duplicate PPE charge
• Niche-aware license extraction — realtor DRE# / TREC# / DOS# / state license #, lawyer bar #, medical NPI, contractor CSLB/ROC/CCB — picked based on your selected niche
• Tested — unit-test suite covers address parsing, email normalization, license extraction, and category matching
• AI-ready — works with Claude, GPT, and Cursor via MCP protocol

Getting Started

1. Click "Try for free" at the top of this page
2. Select a Business Type (e.g., Dentist, Plumber, Restaurant) — or enter custom search queries
3. Add Locations (e.g., "Chicago IL", "Miami FL", "90210")
4. Click Start — results appear in the Dataset tab within seconds
5. Download as JSON, CSV, or Excel — or connect via API, n8n, Make, or Zapier

No API key needed. No setup required. Just select a niche, add a location, and scrape.

Easiest Way to Start

Select a Business Type and add a Location — search queries are generated automatically. For example:

Business Type	Location	Auto-Generated Queries
Dentist	Chicago IL	"dentist in Chicago IL", "dental clinic in Chicago IL"
Plumber	90210	"plumber in 90210", "plumbing company in 90210"
HVAC	Houston TX	"HVAC company in Houston TX", "air conditioning repair in Houston TX"

Or use Custom Search Queries for full control — type anything you'd type into Google Maps.

4 Output Formats

Format	Description	Best For
Default	All 40+ raw fields in JSON	Developers, custom workflows, data analysis
HubSpot	Mapped to HubSpot Contact properties	Direct HubSpot CRM import
Salesforce	Mapped to Salesforce Lead object	Direct Salesforce import
Full Contact	Nested JSON with contact/org/social	Full Contact enrichment, API integrations

Standard vs Enriched Mode

Every run works in Standard mode (Google Maps data only) or Enriched mode (adds website scraping for emails, social media, and licenses). Enrichment is enabled by default.

What You Get in Standard Mode (enrichWebsites: false)

Fast scraping with 30+ fields from Google Maps data:

• Business name, category, description, price level
• Full address (street, city, state, ZIP, country, GPS coordinates)
• Phone (formatted + raw), website
• Rating, review count, star distribution (1-5 stars)
• Opening hours (7 days), service options
• Google Maps URL, Place ID, CID, Plus Code
• Images, closure status

What You Get in Enriched Mode (enrichWebsites: true)

All Standard fields plus data scraped from each business website:

• Email address — 3-layer extraction: direct scrape, deep crawl, pattern guessing
• Email verification — DNS MX lookup + SMTP handshake
• Social media (7 platforms) — LinkedIn, Facebook, Instagram, YouTube, X, Pinterest, TikTok
• License numbers — contractor, real estate, legal licenses
• Enrichment status — enriched, partial, skipped, or failed

When to Use Which Mode

Your Goal	Recommended Mode	Enrichment?
Quick business directory data	Standard	No
Lead list with emails for outreach	Enriched + Verified	Yes
CRM import with contact details	Enriched + HubSpot/Salesforce format	Yes
Market research (ratings, reviews, hours)	Standard	No
Competitor monitoring	Standard	No
Sales prospecting with social profiles	Enriched	Yes

---

Default Output Format

Input Parameters

Parameter	Type	Default	Description
businessType	string	general	Business niche (50+ options) — auto-generates 2–4 search terms per niche
locations	string[]	[]	Cities, areas, or ZIP codes to search
searchQueries	string[]	[]	Custom Google Maps queries (full control)
zipCodes	string[]	[]	US ZIP codes (alternative to locations)
maxResultsPerSearchTerm	integer	50	Max leads per generated search term (1–500). A plumber niche expands into 3 terms; 50 here can yield up to ~150 leads per location after dedup.
maxResultsTotal	integer	none	Optional hard cap on total output across all queries. Applied after dedup so you don't pay for leads you'd discard.
language	string	en	Language for results (29 options)
countryCode	string	us	Country focus (ISO code)
enrichWebsites	boolean	true	Extract emails, social media, licenses, and description from business websites
verifyEmails	boolean	true	Verify emails via DNS MX + SMTP
returnAllEmails	boolean	false	Return all discovered emails with {source, score} tuples in an emails[] array (top-scored also populates email)
skipCategoryMismatches	boolean	false	Drop leads whose Google category doesn't match the requested niche (e.g. private schools surfaced by a tutoring search). The categoryMismatch flag is always present; this input controls whether mismatches are dropped before output.
queryConcurrency	integer	3	Number of Google Maps search queries to run in parallel (1–5). Default 3 roughly halves wall time for multi-query niches. Set to 1 for sequential, human-like cadence.
resumePlaceIds	string[]	[]	Resume support. Pass placeIds from a previous partial run to skip them entirely — no re-scrape, no re-enrichment, no PPE charge. Useful for stitching together crashed long runs.
includeOpeningHours	boolean	true	Include 7-day business hours
includeReviewsDistribution	boolean	true	Include 1-5 star breakdown
includeImages	boolean	false	Include photo URLs
outputFormat	string	default	Output format: default, hubspot, salesforce, fullcontact

Deprecated: maxResultsPerQuery is still accepted (with a log warning) for backward compatibility with existing runs and schedules — it is an alias for maxResultsPerSearchTerm. New integrations should use the new name plus maxResultsTotal for predictable volume.

Input Example

{
  "businessType": "dentist",
  "locations": ["Chicago IL", "Houston TX"],
  "maxResultsPerSearchTerm": 25,
  "maxResultsTotal": 100,
  "enrichWebsites": true,
  "verifyEmails": true,
  "outputFormat": "default"
}

Output Fields (40+ fields)

#	Field	Type	Description	Example
1	title	string	Business name	"Downtown Dental - Loop"
2	categoryName	string	Primary category	"Dentist"
3	categories	array	All categories	["Dentist", "Cosmetic dentist", "Oral surgeon"]
3a	categoryMismatch	boolean	true when the Google category does NOT match the selected niche. Always present. Use skipCategoryMismatches: true to drop these.	false
4	description	string	Google Maps description, with a fallback to the business website's <meta name="description"> / <meta property="og:description"> / first paragraph when Google Maps has none	"Family dental practice since 1985"
5	priceLevel	string	Price range	"$$", "$50-100", "$100+"
6	address	string	Full address	"25 E Washington St STE 1921, Chicago, IL 60602"
7	street	string	Street address	"25 E Washington St STE 1921"
8	city	string	City	"Chicago"
9	state	string	State code	"IL"
10	postalCode	string	ZIP/postal code — canonical 5-digit format for US; CRM-friendly (no ZIP+4 suffix)	"60602"
11	countryCode	string	Country code	"US"
12	neighborhood	string	Neighborhood	"The Loop"
13	plusCode	string	Google Plus Code	"V9MF+68 Chicago, Illinois"
14	location	object	GPS coordinates	{"lat": 41.883, "lng": -87.627}
15	phone	string	Formatted phone	"(773) 692-5401"
16	phoneUnformatted	string	Raw phone	"+17736925401"
17	website	string	Business website	"https://www.downtown-dental.com/"
18	totalScore	number	Rating (1-5)	4.7
19	reviewsCount	integer	Total reviews	1362
20	reviewsDistribution	object	Star breakdown	{"oneStar":12,"twoStar":8,...,"fiveStar":1192}
21	openingHours	array	7-day hours	[{"day":"Monday","hours":"8 AM-5 PM"},...]
22	serviceOptions	array	Available services	["Onsite services", "Online appointments"]
23	temporarilyClosed	boolean	Temp closed flag	false
24	permanentlyClosed	boolean	Perm closed flag	false
25	imageUrl	string	Main listing photo	"https://lh3.googleusercontent.com/..."
26	profilePhotoUrl	string	Business profile photo	"https://lh6.googleusercontent.com/..."
27	placeId	string	Google Place ID	"ChIJTZHMAqUsDogRT23QNnloow4"
28	cid	string	Google Company ID	"18391531526889988045"
29	url	string	Google Maps link	"https://www.google.com/maps/place/?q=place_id:..."
30	email	string	Email address — normalized: lowercase domain, no mailto: prefix, no query strings	"info@downtown-dental.com"
30a	emails	array	Optional (returnAllEmails: true). All discovered emails as [{email, source, score}], sorted best-first. source is scraped / deep-crawl / guessed.	[{"email":"...", "source":"scraped", "score":13}]
31	emailVerified	boolean	Email verified	true
32	emailVerificationStatus	string	Verification detail	"mx_valid_smtp_failed" or "verified"
33	emailSource	string	How email was found	"scraped", "deep-crawl", or "guessed"
34	socialProfiles.linkedin	string	LinkedIn URL	"https://linkedin.com/company/..."
35	socialProfiles.facebook	string	Facebook URL	"https://facebook.com/downtowndentalloop"
36	socialProfiles.instagram	string	Instagram URL	"https://instagram.com/downtowndentalloop"
37	socialProfiles.youtube	string	YouTube URL	"https://youtube.com/@..."
38	socialProfiles.twitter	string	X/Twitter URL	"https://x.com/..."
39	socialProfiles.pinterest	string	Pinterest URL	"https://pinterest.com/..."
40	socialProfiles.tiktok	string	TikTok URL	"https://tiktok.com/@..."
41	licenseNumber	string	Niche-aware professional license: realtor (DRE#, BRE#, TREC#, DOS#, FL SL/BK), legal (state bar numbers), medical (NPI), contractor (CSLB, ROC, CCB, CGC, …)	"DRE# 01234567" or "NPI 1234567890" or "FL Bar #12345"
42	enrichmentStatus	string	Enrichment result	"enriched", "partial", "skipped"
43	businessType	string	Niche label	"Dentist"
44	searchString	string	Query that found it	"dentist in Chicago IL"
45	rank	integer	Position in results	1
46	scrapedAt	string	ISO timestamp	"2026-04-05T13:25:22.578Z"

Output Example

{
  "title": "Downtown Dental - Loop",
  "categoryName": "Dentist",
  "categories": ["Dentist", "Cosmetic dentist", "Dental clinic", "Emergency dental service"],
  "description": null,
  "priceLevel": null,
  "address": "25 E Washington St STE 1921, Chicago, IL 60602",
  "street": "25 E Washington St STE 1921",
  "city": "Chicago",
  "state": "IL",
  "postalCode": "60602",
  "countryCode": "US",
  "neighborhood": "The Loop",
  "plusCode": "V9MF+68 Chicago, Illinois",
  "location": { "lat": 41.883029, "lng": -87.626714 },
  "phone": "(773) 692-5401",
  "phoneUnformatted": "+17736925401",
  "website": "https://www.downtown-dental.com/locations/loop/",
  "totalScore": 4.7,
  "reviewsCount": 1362,
  "reviewsDistribution": { "oneStar": 12, "twoStar": 8, "threeStar": 30, "fourStar": 120, "fiveStar": 1192 },
  "openingHours": [
    { "day": "Sunday", "hours": "Closed" },
    { "day": "Monday", "hours": "8 AM - 5 PM" },
    { "day": "Tuesday", "hours": "8 AM - 5 PM" },
    { "day": "Wednesday", "hours": "8 AM - 5 PM" },
    { "day": "Thursday", "hours": "8 AM - 5 PM" },
    { "day": "Friday", "hours": "8 AM - 2 PM" },
    { "day": "Saturday", "hours": "Closed" }
  ],
  "serviceOptions": ["Onsite services", "Online appointments", "Wheelchair accessible"],
  "temporarilyClosed": false,
  "permanentlyClosed": false,
  "imageUrl": "https://lh3.googleusercontent.com/...",
  "placeId": "ChIJTZHMAqUsDogRT23QNnloow4",
  "cid": "18391531526889988045",
  "url": "https://www.google.com/maps/place/?q=place_id:ChIJTZHMAqUsDogRT23QNnloow4",
  "email": "info@downtown-dental.com",
  "emailVerified": true,
  "emailVerificationStatus": "mx_valid_smtp_failed",
  "emailSource": "scraped",
  "socialProfiles": {
    "facebook": "https://facebook.com/downtowndentalloop",
    "instagram": "https://instagram.com/downtowndentalloop",
    "linkedin": null,
    "youtube": null,
    "twitter": null,
    "pinterest": null,
    "tiktok": null
  },
  "enrichmentStatus": "enriched",
  "businessType": "Dentist",
  "searchString": "dentist in Chicago IL",
  "rank": 3,
  "scrapedAt": "2026-04-05T13:25:22.578Z"
}

Use Cases

• Lead generation — build prospect lists with verified emails and social profiles for outreach
• Market research — analyze ratings, reviews, pricing, service options across hundreds of businesses
• Local SEO audits — track Google Maps rankings, review counts, and business info accuracy
• Sales prospecting — CRM-ready output with phone, email, and 7 social platforms
• Competitor monitoring — schedule weekly runs to track changes over time

How to Run

1. Set businessType to your target niche (e.g., "dentist") or use searchQueries for custom searches
2. Add locations — cities, ZIP codes, or areas (e.g., ["Chicago IL", "Houston TX"])
3. Set enrichWebsites: true for emails and social media
4. Set verifyEmails: true for DNS/SMTP email verification
5. Set outputFormat: "default" (or omit — it's the default)
6. Click Start — results in the Dataset tab

---

HubSpot CRM Format

Export leads directly into HubSpot with pre-mapped Contact properties.

Input Example

{
  "businessType": "lawyer",
  "locations": ["Miami FL"],
  "maxResultsPerSearchTerm": 25,
  "maxResultsTotal": 50,
  "enrichWebsites": true,
  "verifyEmails": true,
  "outputFormat": "hubspot"
}

Output Fields

HubSpot Field	Source	Example
First Name	Auto-detected (person names only)	"" (empty for businesses)
Last Name	Business name or person last name	"ANDREW C. DEMOS, P.A."
Email	Email address	"andrew@demoslaw.com"
Phone Number	Phone (raw)	"+1 954-589-0119"
Company Name	Business name	"ANDREW C. DEMOS, P.A."
Website URL	Business website	"http://www.demoslaw.com/"
Street Address	Full address	"1806 N Flamingo Rd Suite 322, Pembroke Pines, FL 33028"
City	City	"Pembroke Pines"
State/Region	State	"FL"
Zip Code	Postal code	"33028"
Lifecycle Stage	Always "lead"	"lead"
Lead Status	Always "New"	"New"
LinkedIn	LinkedIn URL	"https://linkedin.com/in/..."
Facebook	Facebook URL	"https://facebook.com/..."
Instagram	Instagram URL	"https://instagram.com/..."
Twitter/X	X URL	"https://x.com/..."
Google Maps Rating	Rating (1-5)	4.9
Google Reviews Count	Total reviews	58
License Number	Professional license	""
Email Verified	Verification result	true
Lead Source	Always "Google Maps Scraper"	"Google Maps Scraper"
Notes	Enrichment notes	"Email verified (MX valid, domain accepts email)"
Date Added	Timestamp	"2026-04-05T13:25:22.578Z"

Output Example

{
  "First Name": "",
  "Last Name": "ANDREW C. DEMOS, P.A.",
  "Email": "andrew@demoslaw.com",
  "Phone Number": "+1 954-589-0119",
  "Company Name": "ANDREW C. DEMOS, P.A.",
  "Website URL": "http://www.demoslaw.com/",
  "Street Address": "1806 N Flamingo Rd Suite 322, Pembroke Pines, FL 33028",
  "City": "Pembroke Pines",
  "State/Region": "FL",
  "Zip Code": "33028",
  "Lifecycle Stage": "lead",
  "Lead Status": "New",
  "Email Verified": true,
  "Lead Source": "Google Maps Scraper",
  "Notes": "Email is pattern-guessed; Email verified (MX valid, domain accepts email)",
  "Date Added": "2026-04-05T13:25:22.578Z"
}

Use Cases

• CRM import — download CSV and import directly into HubSpot Contacts
• Sales automation — connect via Zapier/Make to auto-create HubSpot contacts from each run
• Lead scoring — use Google Maps Rating and Reviews Count for lead prioritization

How to Run

1. Set outputFormat: "hubspot"
2. Enable enrichWebsites and verifyEmails for maximum data
3. Download CSV and import via HubSpot's Import tool, or connect via Zapier/Make

---

Salesforce CRM Format

Export leads as Salesforce Lead objects ready for import.

Input Example

{
  "businessType": "real_estate_agent",
  "locations": ["Phoenix AZ"],
  "maxResultsPerSearchTerm": 25,
  "maxResultsTotal": 50,
  "enrichWebsites": true,
  "verifyEmails": true,
  "outputFormat": "salesforce"
}

Output Fields

Salesforce Field	Source	Example
FirstName	Auto-detected	""
LastName	Business name	"Century 21 Northwest Realty"
Email	Email	"info@c21northwest.com"
Phone	Formatted phone	"(602) 555-1234"
Company	Business name	"Century 21 Northwest Realty"
Website	Business website	"https://c21northwest.com"
Street	Street address	"4350 E Camelback Rd"
City	City	"Phoenix"
State	State	"AZ"
PostalCode	ZIP	"85018"
Country	Country code	"US"
LeadSource	"Google Maps"	"Google Maps"
Status	"Open - Not Contacted"	"Open - Not Contacted"
Rating	Hot/Warm/Cold based on score	"Hot" (4.5+), "Warm" (3.5+), "Cold"
Description	Summary with license, rating, reviews	"Rating: 4.8 (523 reviews)"

Use Cases

• Salesforce import — download CSV and use Data Import Wizard or Data Loader
• B2B prospecting — auto-create Salesforce Leads via API integration
• Territory mapping — build lead lists by city/ZIP code for sales territories

How to Run

1. Set outputFormat: "salesforce"
2. Enable enrichWebsites for email and social data
3. Download CSV and import via Salesforce Data Import Wizard

---

Full Contact Format

Export as nested JSON matching Full Contact's enrichment schema.

Input Example

{
  "businessType": "contractor",
  "locations": ["Atlanta GA"],
  "maxResultsPerSearchTerm": 25,
  "maxResultsTotal": 50,
  "enrichWebsites": true,
  "verifyEmails": false,
  "outputFormat": "fullcontact"
}

Output Fields

Section	Fields	Description
name	given, family, full	Person/business name breakdown
emails	value, type, verified	Email addresses with verification status
phones	value, type	Phone numbers
organizations	name, website, title	Business information
locations	street, city, region, postalCode, country	Full address breakdown
socialProfiles	type, url	Social media profiles (7 platforms)
metadata	source, rating, reviews, license, enrichmentStatus	Scrape metadata

Use Cases

• API integration — feed directly into Full Contact or similar enrichment APIs
• Data pipeline — nested JSON structure for custom ETL workflows
• Contact deduplication — structured format for matching across data sources

How to Run

1. Set outputFormat: "fullcontact"
2. Results are nested JSON — best consumed via API or JSON processing tools

---

50+ Business Niches

Select a niche and provide locations — search queries are generated automatically with niche-optimized terms:

Category	Niches
Home Services	HVAC, Plumber, Roofer, Electrician, Contractor, Landscaper, Pest Control, Cleaning, Solar, Painter, Pool Service, Garage Door, Fencing, Moving, Appliance Repair
Healthcare	Dentist, Chiropractor, Medical Clinic, Med Spa, Veterinarian, Physical Therapy, Orthodontist, Oral Surgeon, Optometrist, Pharmacy
Legal	Lawyer, Personal Injury, Criminal Defense, Family Law, Immigration, Bankruptcy
Professional	Real Estate Agent, Property Management, Mortgage Broker, Insurance, Accountant, Financial Advisor
Food & Hospitality	Restaurant, Bar, Cafe, Catering
Automotive	Auto Repair, Car Dealer, Detailing, Towing
Beauty & Wellness	Hair Salon, Nail Salon, Day Spa, Gym, Pet Grooming
Education	Daycare, Tutoring, Driving School
Events	Wedding Venue, Photographer, Planner, Florist
Other	Home Inspector, Tattoo, Storage, Laundromat, Printing

Or use General Business with your own custom search queries for any niche not listed.

Pricing — Pay Per Result, No Monthly Fee

$3.00 per 1,000 leads — email extraction, social media, email verification, star distribution, service options, and CRM formatting all included at no extra cost.

Format	Price / result	Price / 1,000	Fields	Best For
Default	$0.003	$3.00	40+ fields	Developers, data analysis, custom workflows
HubSpot	$0.003	$3.00	23 fields	Direct HubSpot CRM import
Salesforce	$0.003	$3.00	15 fields	Direct Salesforce Lead import
Full Contact	$0.003	$3.00	Nested JSON	API integrations, enrichment pipelines

Cost examples:

• 100 business leads with emails: $0.30
• 500 dentists in Chicago with social profiles: $1.50
• 1,000 plumbers nationwide with HubSpot export: $3.00
• 10,000 restaurants with ratings and hours: $30.00

You only pay for results delivered. Platform compute costs are included.

Why This Google Maps Scraper?

• Cheapest on Apify — $3/1K with everything included (competitors charge $4-$10/1K after add-ons)
• Free email extraction + verification — 3-layer pipeline with DNS/SMTP included (others charge $2.50-$4/1K extra)
• Free social media (7 platforms) — LinkedIn, Facebook, Instagram, YouTube, X, Pinterest, TikTok (compass charges $100/1K extra)
• 4 CRM output formats — HubSpot, Salesforce, Full Contact — no other Google Maps scraper offers this
• 50+ business niches — auto-generated, niche-optimized search queries
• Star distribution included — exact 1-5 star breakdown, not just the average rating
• Service options included — Dine-in, Takeout, Delivery, etc. (most scrapers skip this)
• HTTP-only architecture — Impit with Chrome TLS fingerprint impersonation (no bloated browser)
• 128 MB memory — runs on minimal resources (peak observed ≈50 MB), keeping compute costs low
• Bandwidth-capped enrichment — ≤500 KB per lead of website scraping; actual observed ≈250 KB/lead
• Parallel query execution — up to 5 queries concurrent (default 3); roughly 2.7× wall-time reduction on multi-query niches
• Enrichment retry with UA rotation — transient 403/429/503 blocks get one automatic retry with a fresh User-Agent
• 429 diagnostic warning — if Google Maps rate-limits repeatedly, the log surfaces an actionable recommendation to configure an Evomi residential proxy
• No proxy required — direct exit works reliably for Google Maps; optional Evomi residential override available for high-volume runs
• Resume support — pass resumePlaceIds from a partial dataset to pick up where a crashed run left off
• Human-like behavior — randomized delays with Box-Muller distribution jitter
• 100% field-level accuracy — verified against live Google Maps ground-truth; null fields are returned only when the source is also empty
• 20 unit tests — covering address parser, email normalization, license extractor, and category matcher (run npm test)
• MCP-compatible — works with AI agents (Claude, GPT, Cursor) out of the box

How We Compare

Feature	This Scraper	compass/crawler	lukaskrivka	microworlds
Price / 1K leads	$3.00	$4.00	$5.00	$3.50
Email extraction	Included free	+$4.00/1K	+$2.50/1K	+$3.50/1K
Social media	Included free (7 platforms)	+$100/1K	+$100/1K	Unavailable
Email verification	Included free	Not available	Not available	Not available
Star distribution	Included	Included	Unknown	Unknown
CRM output formats	4 formats	None	None	None
50+ niche presets	Yes	No	No	No
Memory	128 MB	4,096 MB	1,024 MB	Varies
Enrichment bandwidth / lead	≤500 KB (cap)	Uncapped	Uncapped	Uncapped
Parallel queries	Yes (default 3)	No	No	No
Resume from partial dataset	Yes (resumePlaceIds)	No	No	No
Niche-aware license extraction	Yes (realtor/legal/medical/contractor)	Realtor-only	No	No
Data fields per lead	40+	50+	30+	20-30

Key advantages:

1. One actor with everything included — competitors charge separately for email ($4/1K), social ($100/1K), and enrichment ($4/1K). We include it all for $3/1K.
2. Lowest effective price — $3/1K vs $8-$108/1K for the same data elsewhere
3. Free email verification — DNS MX + SMTP check on every email, zero extra cost
4. CRM-ready output — HubSpot, Salesforce, Full Contact formats that no competitor offers
5. Lightweight + fast — 128 MB HTTP-only (32× less memory than compass's 4,096 MB browser-based approach) and parallel query execution for roughly 2.7× wall-time reduction on multi-query niches
6. Production-resilient — UA-rotated enrichment retry, 429 diagnostic warnings, crash-resume support, and a unit test suite

MCP Integration for AI Agents

This scraper works with AI agents via the Model Context Protocol (MCP). Connect it to Claude Desktop, Cursor, GPT, or any MCP-compatible client.

Setup:

1. Go to mcp.apify.com
2. Add "Google Maps Lead Scraper" to your MCP server
3. Ask your AI: "Find 50 dentists in Chicago with emails"

Example prompts for your AI agent:

• "Scrape 20 plumbers in Houston TX and export to HubSpot format"
• "Find restaurants in Manhattan with ratings above 4.5"
• "Get all HVAC companies in Dallas with verified emails"
• "Search for lawyers in Miami and export to Salesforce"

Works with Claude Desktop, Cursor, GPT via MCP, and any other MCP-compatible AI client.

Integrations

n8n

1. Add the Apify node in your n8n workflow
2. Select "Google Maps Lead Scraper" as the actor
3. Configure the business type, location, and output format
4. Connect the output to your CRM, Google Sheets, or database

Make.com (Integromat)

1. Add the Apify module to your scenario
2. Select "Run Actor" and choose this scraper
3. Map the JSON output fields to your downstream modules
4. Use for automated lead enrichment, market monitoring, or CRM syncing

Zapier

1. Create a new Zap with Apify as the trigger or action
2. Select "Run Actor" and configure with this scraper's actor ID
3. Map output fields to Google Sheets, HubSpot, Salesforce, or Slack
4. Trigger on schedule or from a webhook

REST API & SDKs

Use the Apify API, JavaScript SDK, or Python SDK for programmatic access:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("get-leads/google-maps-scraper---best-value-for-money").call(
    run_input={
        "businessType": "dentist",
        "locations": ["Chicago IL", "Houston TX", "Miami FL"],
        "maxResultsPerSearchTerm": 25,
        "maxResultsTotal": 100,   # optional hard cap across all queries
        "queryConcurrency": 3,    # parallel queries (1-5) — ~2.7x wall-time reduction
        "enrichWebsites": True,
        "verifyEmails": True,
        "returnAllEmails": False,         # set True for emails[] array with {source, score}
        "skipCategoryMismatches": False,  # set True to drop off-niche results
        "outputFormat": "default",
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} — {item['email']} — {item['phone']}")

Resuming a crashed run

If a long run failed partway through, pull the placeIds from the partial dataset and pass them back via resumePlaceIds — the second run skips them entirely (no re-scrape, no re-enrichment, no duplicate PPE):

partial = list(client.dataset(failed_run["defaultDatasetId"]).iterate_items())
already_seen = [it["placeId"] for it in partial if it.get("placeId")]

resume_run = client.actor("get-leads/google-maps-scraper---best-value-for-money").call(
    run_input={
        "businessType": "dentist",
        "locations": ["Chicago IL", "Houston TX", "Miami FL"],
        "maxResultsPerSearchTerm": 25,
        "maxResultsTotal": 100,
        "resumePlaceIds": already_seen,   # <-- skip these
        "enrichWebsites": True,
        "outputFormat": "default",
    }
)

Tips for Best Results

1. Be specific with location — "Chicago IL" works better than just "Chicago"
2. Use niche selection — auto-generated queries are optimized per business type
3. Start small — test with 20 results via maxResultsTotal: 20, then scale up
4. Enable enrichment for lead gen — email hit rate 80%+, social media hit rate 70%+
5. Use maxResultsTotal for predictable volume — caps the whole run after dedup so 2-city × 3-search-term expansions don't surprise you
6. Turn up queryConcurrency for big runs — the default 3 halves wall time; 4–5 can cut it further at the cost of slightly higher 429 risk
7. Save placeIds for resume — if a run fails partway, the resumePlaceIds input lets you skip already-scraped places on the retry
8. Disable star distribution for speed — set includeReviewsDistribution: false to reduce cost by ~30%
9. Enable returnAllEmails for sales teams — get every discovered email with source + confidence score, not just the top winner
10. Enable skipCategoryMismatches for clean B2B lists — drops off-niche results before PPE billing
11. Schedule regular runs — via Apify Schedules for weekly/monthly lead lists
12. Export to your CRM — use HubSpot or Salesforce format for zero-config import

FAQ

How many leads can I scrape? Up to 500 per search term. Each business niche auto-expands into 2–4 search terms, so a single niche + city can yield up to ~2,000 leads per run. Use maxResultsTotal to set an overall ceiling.

Which countries are supported? All countries where Google Maps operates. Set the language and countryCode parameters to match your target market.

How accurate are the emails? ~80% hit rate on enriched runs. Emails are found via 3-layer extraction (direct scrape, deep crawl, pattern guessing), normalized (domain lower-cased, mailto: / query-strings stripped), and verified with DNS MX + SMTP handshake. Enable returnAllEmails: true to receive every discovered email with its source (scraped / deep-crawl / guessed) and relevance score — useful when multiple contacts per business matter (e.g. firstname.lastname@ alongside info@).

What does categoryMismatch mean? Google Maps sometimes mixes related-but-off-niche results into a search (e.g. "tutoring" returns private schools, "veterinarian" returns pet shops). Every lead carries a categoryMismatch: true/false flag based on whether its Google categoryName matches the niche you selected. Enable skipCategoryMismatches: true to drop mismatches entirely; otherwise leave the flag in the output and filter client-side.

What license formats are detected? licenseNumber is niche-aware:

• Realtors & property — California DRE#/BRE#, Texas TREC#, New York DOS#, Florida SL/BK, generic "Real Estate License #"
• Lawyers — state bar numbers (SBN, Florida Bar #, generic "Bar No.", "Attorney License")
• Medical (dentists, doctors, vets, etc.) — NPI (10-digit National Provider Identifier) and "MD/DDS/DO/DVM License"
• Contractors (HVAC, plumber, roofer, electrician, solar, painter, etc.) — California CSLB#, Arizona ROC#, Oregon CCB#, Florida CGC/CCC/CBC, generic "Contractor License #"

What's the star distribution? The exact count of 1-star, 2-star, 3-star, 4-star, and 5-star reviews — not just the average rating.

What are service options? Structured business attributes like "Dine-in", "Takeout", "Delivery", "Wheelchair accessible", "Online appointments" — extracted from the Google Maps detail page.

Do I need proxies? No. The scraper runs without a proxy by default — Google Maps' public endpoint accepts direct traffic at typical scrape volumes.

For high-volume or globally-distributed runs you can optionally enable an Evomi residential proxy:

• Set the actor env var RESIDENTIAL_PROXY_URL to an Evomi URL in @-format, e.g. http://USER:PASS@rp.evomi.com:1000.
• Evomi is billed at $0.49/GB — the enrichment pipeline caps bandwidth at ≤500 KB/lead (≈0.5 GB per 1,000 leads) so the proxy adds ~$0.25 per 1K leads, preserving the actor's ≥50% profit margin.
• Bandwidth is logged per run as Enrichment bandwidth: X MB total (Y KB/lead) so you can verify the budget.

Apify Residential Proxy is NOT supported. Its $12.50/GB price would make the $3/1K PPE actor unprofitable (15× the margin budget). If RESIDENTIAL_PROXY_URL contains proxy.apify.com, the actor aborts with a clear error at startup. Use Evomi (or no proxy) instead.

How is this so cheap? HTTP-only architecture uses 32× less memory than browser-based scrapers (128 MB vs 4,096 MB), caps website enrichment bandwidth at ≤500 KB per lead (observed ≈250 KB/lead), and runs up to 3 queries in parallel by default for ~2.7× wall-time reduction on multi-query runs. Lower compute + lower bandwidth + less wall time = lower price for you.

How do I resume a crashed run? Fetch the placeId values from the partial dataset of the failed run, then re-run with resumePlaceIds: [...] containing those IDs. Every place in the list is skipped on the new run — no re-scrape, no re-enrichment, and most importantly no duplicate PPE charge. The second run picks up from where the first left off.

Can I run this on a schedule? Yes! Use Apify Schedules to run daily, weekly, or monthly scrapes automatically.

What format can I export data in? CSV, Excel, JSON, Google Sheets, or via API. Plus 4 built-in CRM formats: Default, HubSpot, Salesforce, Full Contact.

Support

Questions, feedback, or custom scraping needs? Contact us at get.leads.apify@gmail.com.

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