What does Google Maps Lead Scraper do?

Scrape Google Maps businesses with leadQualityScore (0-100 lead-prioritization signal), bestCallTime (when to actually call them), verified emails, phone numbers, social media profiles, star distribution, review topic tags, opening hours, service options, popular times (7-day busy chart), photo counts, unclaimed-listing detection, and review-recency signals — 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 63+ data fields per lead including a composite leadQualityScore that no other Google Maps scraper offers, derived bestCallTime for sales outreach timing, lastReviewDate + daysSinceLastReview for activity signals, popular times, review topic tags, contact-form detection, and categorized attributes — fields most competitors charge separately for or don't offer at all.

Why choose this over 5 separate Google Maps scrapers?

• enrichmentDepth toggle — single dial (fast / balanced / deep) replaces 5 individual flags. Picks the right cost / data tradeoff in one click. UNIQUE.
• leadQualityScoreMinimum filter — set a threshold (0-100); leads below it are dropped at push-time, so you only pay PPE for the leads you actually want. UNIQUE.
• hasContactForm boolean — detects contact forms on the business website during enrichment. HIGH-value qualifier ("can this business receive inbound web inquiries?")
• leadQualityScore (0-100) — UNIQUE composite metric combining 11 signals (verified email, phone, website, contact form, review count, recency, claim status, rating, social presence, photo count, commerce URLs). Sort your CRM by this single number and call your hottest leads first. No other Google Maps scraper offers this.
• bestCallTime — derived from popularTimesHistogram × openingHours, gives you a sales-actionable string like "Tuesday 14:00 (15% busy)". Stop calling restaurants during dinner rush.
• lastReviewDate + daysSinceLastReview — activity-recency signals. Filter for businesses still actively monitored by their owner.
• 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)
• Free popular-times chart — full 7-day × ~18-hour busy histogram per place; identify low-traffic time slots for sales outreach (compass requires place-details-scraped event extra)
• Free unclaimed-listing flag — claimThisBusiness: true = the business hasn't claimed their Google profile = fresh outreach opportunity
• Free review topic tags (reviewsTags) — top guided-dining topics aggregated across recent reviews (meal type, price range, noise level, reservation policy, parking ease) as [[label, count], ...]. 100% fill on restaurants, 9-21 tags each. Surface sales-actionable signals like "Difficult to find parking" (4 mentions) or "Reservation required" (14 mentions).
• Reserve / Menu / Order online URLs — direct OpenTable / Resy / Google Food links extracted from each restaurant
• Photo count + categorized attributes — imagesCount (total Google Maps photos) + additionalInfo grouped by 13 categories (Service options, Highlights, Atmosphere, Crowd, Payments, Children, Parking, etc.)
• 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.) with a tightened niche/category matching layer that keeps tutoring free of private-school clutter, appliance-repair free of retail stores, and daycare free of plant nurseries
• 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
• Strict maxResultsTotal cap — request N, get exactly N leads (not 2N). The push-time hard cap closes the parallel-query race where multiple search terms could each push a full batch before the soft cap fired.
• Strict per-lead bandwidth discipline — website enrichment capped at ≤500 KB per lead with a pre-fetch byte budget check (never overshoots); keeps Evomi costs predictable and honours the documented budget
• Slow-URL observability — the log surfaces [slow-fetch] lines for any page that takes ≥2.5 s and [slow-enrich] lines for any place that takes ≥6 s to enrich, so you can diagnose and skip problem domains
• Global-ready — tested across English, Spanish, French, German, Portuguese, and Japanese; works across US / UK / Australia / Malaysia / EU with the right language + countryCode combo
• 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.

8 Output Formats

Format	Description	Best For
Default	All 65+ raw fields in JSON (incl. leadQualityScore, gmbActivityScore, bestCallTime)	Developers, custom workflows, data analysis
HubSpot	Mapped to HubSpot Contact properties	Direct HubSpot CRM import
Salesforce	Mapped to Salesforce Lead object	Direct Salesforce import
Pipedrive	Mapped to Pipedrive Person/Organization fields incl. Lead Quality Score, Best Call Time, GMB Activity	Direct Pipedrive CRM import (NEW — no other Google Maps scraper offers this)
Zoho CRM	Mapped to Zoho Lead Underscore_Case API fields	Direct Zoho Lead import (NEW)
Airtable	Title Case columns optimized for Airtable bases	Airtable import (NEW)
CSV-flat	Flattens nested objects (socialProfiles.linkedin → socialProfiles_linkedin, reviewsTags → reviewsTags_top5)	Excel users, BI tools that don't handle nested JSON (NEW)
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 50+ 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)
• Review topic tags (reviewsTags) — top guided-dining topics aggregated across recent reviews (meal type, price range, noise level, reservation policy, parking ease) as [[label, count], ...]. 100% fill on restaurants.
• Opening hours (7 days), per-service hours (Delivery / Takeout etc.), service options
• Categorized attributes — additionalInfo grouped by 13 categories
• Popular times — full 7-day × ~18-hour busy histogram + live "currently busy" data when place is open
• Photo count + main image + business profile photo
• Reserve / Menu / Order online / Services URLs — direct booking and ordering links
• claimThisBusiness flag — true = unclaimed Google Business Profile (fresh sales lead)
• Google Maps URL, Place ID, CID, Plus Code
• Closure status (temporarily / permanently)

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

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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	Strict hard cap on total output across all queries. Enforced at push-time (not just pre-enrichment) so parallel queries can't race past the cap — request 5, get exactly 5. Leave empty for no cap.
language	string	en	Language for results (29 options). Verified end-to-end on en, es, fr, de, pt, ja — native-language categories like Restaurant français, Friseursalon, ビュッフェ レストラン come back correctly.
countryCode	string	us	Country focus (ISO 3166-1 alpha-2). Verified end-to-end across US / UK / AU / MY with local place results. For non-US markets, set language to the local language and (optionally) use a region-matched Evomi residential URL for IP-geolocation parity.
enrichmentDepth	string	none	Recommended over individual flags. Single dial: fast (no enrichment), balanced (default — website enrichment + verification + reviews distribution), deep (balanced + returnAllEmails + includeImages with maxImages bumped to 10). When set, OVERRIDES the 5 individual flags below.
leadQualityScoreMinimum	integer (0-100)	none	Push-time filter. Drops leads below this leadQualityScore BEFORE PPE billing. Set to 70 = only pay for hot leads. Leave empty = push everything.
scrapeAfterDate	string (ISO 8601)	none	Push-time filter. Drops leads whose most-recent review is older than this date. Set 2026-01-01 to skip abandoned listings. Useful for filtering out long-dead businesses BEFORE PPE billing.
enrichWebsites	boolean	true	Extract emails, social media, licenses, and description from business websites. Ignored when enrichmentDepth is set.
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. The categoryMismatch flag is always present; this input controls whether mismatches are dropped before output. The niche→category keyword banks were tightened so strict-intent niches (tutoring, appliance repair, pet grooming, daycare, driving school) rarely surface false positives even when this flag is off.
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 (66+ 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}
20a	reviewsTags	array	Top guided-dining topics aggregated across recent reviews — [[label, count], ...] sorted by frequency. Restaurants get 9-21 distinct tags covering meal type, price range, noise level, reservation policy, parking, recommendation strength.	[["Dinner", 28], ["$100+", 22], ["Reservations recommended", 6], ["Difficult to find parking", 4]]
20b	lastReviewDate	string (ISO)	Most-recent review's posting date	"2026-03-09T01:56:21.774Z"
20c	daysSinceLastReview	integer	Days between today and lastReviewDate — recency signal for "actively-monitored business"	48
21	openingHours	array	7-day hours	[{"day":"Monday","hours":"8 AM-5 PM"},...]
21a	additionalOpeningHours	object	Per-service hours (e.g. Delivery, Takeout, Drive-through) when different from main hours	{"Delivery": [{"day":"Monday","hours":"12-9 PM"},...]}
22	serviceOptions	array	Available services (flat list)	["Onsite services", "Online appointments"]
22a	additionalInfo	object	Categorized attributes grouped into 13 buckets: Accessibility, Service options, Highlights, Popular for, Offerings, Dining options, Amenities, Atmosphere, Crowd, Planning, Payments, Children, Parking	{"Atmosphere": [{"Cozy": true}, {"Romantic": true}], "Payments": [{"Credit cards": true}]}
22b	popularTimesHistogram	object	7-day × ~18-hour busy chart. Keys: Mo/Tu/We/Th/Fr/Sa/Su. Each is an array of {hour, occupancyPercent} (0-100). Identifies low-traffic windows for sales outreach.	{"Mo": [{"hour": 19, "occupancyPercent": 70}, ...], ...}
22c	popularTimesLivePercent	number	Real-time "currently X% busy" — only populated when scraping during the place's open hours	64
22d	popularTimesLiveText	string	Real-time text — "Less busy than usual" / "A little busier than usual" / "As busy as it gets" — only when open	"Less busy than usual"
22d1	peakBusyHour	object	Globally busiest hour across the week, derived from popularTimesHistogram	{"day":"Sa","dayFullName":"Saturday","hour":18,"occupancyPercent":100}
22d2	quietestHour	object	Least-busy non-zero hour across the week	{"day":"Tu","dayFullName":"Tuesday","hour":8,"occupancyPercent":6}
22d3	bestCallTime	string	Sales-actionable: when to call this business. Quietest weekday slot in 10 AM-4 PM window.	"Tuesday 10:00 (16% busy)"
22d4	isAdvertisement	boolean	true when result was a sponsored placement (currently always false for organic results — reserved for future ad-detection logic)	false
22e	claimThisBusiness	boolean	true = unclaimed Google Business Profile (fresh sales lead opportunity)	false
22f	reserveTableUrl	string	Direct OpenTable / Resy / Google Reserve link (restaurants)	"https://www.google.com/maps/reserve/v/dine/c/..."
22g	googleFoodUrl	string	Direct food order link (Grubhub / DoorDash via Google)	"https://www.google.com/searchviewer/..."
22h	menu	string	External menu URL when Google links to one	null on most listings
22i	servicesLink	string	External services menu URL (service businesses)	null on most listings
23	temporarilyClosed	boolean	Temp closed flag	false
24	permanentlyClosed	boolean	Perm closed flag	false
25	imageUrl	string	Main listing photo	"https://lh3.googleusercontent.com/..."
25a	imagesCount	integer	Total Google Maps photo count for the listing	12787
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"
47	leadQualityScore	integer (0-100)	UNIQUE composite signal — combines 11 weighted signals (verified email, phone, website, contact form, review count + recency, claim status, rating, social presence, photo count, commerce URLs). Sort your CRM by this to call your hottest leads first. No other Google Maps scraper offers this.	95 (highest in real test data)
48	hasContactForm	boolean	true when the business website has a detectable contact/inquiry form. Adds 5 pts to leadQualityScore. Only populated when enrichWebsites: true (or enrichmentDepth: balanced/deep).	true
49	addressVerified	boolean	true when all address components (street + city + state + postalCode + countryCode) are present + valid (5-digit ZIP for US). Filter for true to avoid mailing campaigns to incomplete addresses.	true
50	gmbActivityScore	string	Categorical activity signal: "Active" (review in last 90d + claimed + rating ≥3.0), "Stale" (review in last 365d but missing one signal), "Abandoned" (no reviews 365d+ OR unclaimed with <10 reviews), "Unknown". Identifies neglected listings = pure sales opportunity.	"Active"

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

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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

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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	66+ 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
• Strict bandwidth cap — website enrichment is capped at ≤500 KB per lead via a pre-fetch byte budget (Layer-1 pages fetched sequentially with a budget check before each request, so the cap is never overshot). Observed ~415 KB/lead on enriched runs.
• 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
• Slow-URL diagnostics — the run log surfaces [slow-fetch] for any single URL taking ≥2.5 s and [slow-enrich] for any place taking ≥6 s to enrich, so you can identify and exclude problem domains
• Strict category precision — niche→category keyword banks reviewed and tightened (e.g. tutoring no longer surfaces private K-12 schools, appliance_repair no longer accepts retail "Appliance store" results, pet_grooming excludes pet supply stores, daycare excludes plant nurseries, driving_school excludes golf driving ranges)
• Strict maxResultsTotal — request N, get exactly N. Hard cap is checked at the push-to-dataset boundary so parallel queries can't race past the limit.
• No proxy required — direct exit works reliably for Google Maps; optional Evomi residential override available for high-volume runs or non-US geolocation
• 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
leadQualityScore (0-100 composite)	Included free — UNIQUE	Not available	Not available	Not available
leadQualityScoreMinimum push-time filter	Included — UNIQUE (saves PPE on cold leads)	Not available	Not available	Not available
scrapeAfterDate push-time filter	Included — UNIQUE (skips abandoned listings)	Not available	Not available	Not available
enrichmentDepth single-toggle (fast/balanced/deep)	Included — UNIQUE (cleaner UX)	Not available	Not available	Not available
hasContactForm qualifier	Included free	Not available	Not available	Not available
addressVerified boolean	Included free	Not available	Not available	Not available
gmbActivityScore (Active/Stale/Abandoned)	Included free	Not available	Not available	Not available
CRM formats	8: default + HubSpot + Salesforce + FullContact + Pipedrive + Zoho + Airtable + CSV-flat	None	None	None
bestCallTime (sales-action timing)	Included free — UNIQUE	Not available	Not available	Not available
peakBusyHour / quietestHour	Included free	Requires post-processing	Not available	Not available
lastReviewDate + daysSinceLastReview	Included free	Not available	Not available	Not available
Star distribution	Included	Included	Unknown	Unknown
Review topic tags (reviewsTags)	Included free (9-21 tags/restaurant)	Requires extra event, often null	Often null in basic	Unavailable
Popular times (7-day busy chart)	Included free	Requires place-details-scraped extra event	Not in basic	Unavailable
Live "currently busy" %	Included free	Requires extra event	Not in basic	Unavailable
Photo count (imagesCount)	Included free	Included	Included	Unavailable
Reserve / Menu / Order URLs	Included free	Requires extra event	Not in basic	Unavailable
Categorized attributes (additionalInfo, 13 buckets)	Included free	Included	Included	Unavailable
Per-service hours (additionalOpeningHours)	Included free	Included	Included	Unavailable
Unclaimed-listing flag (claimThisBusiness)	Included free	Included	Included	Unavailable
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 (strict cap, pre-fetch budget)	Uncapped	Uncapped	Uncapped
Parallel queries	Yes (default 3)	No	No	No
Strict maxResultsTotal (exact hard cap)	Yes (push-time gate)	No	No	No
Niche→category precision (flag + filter)	Yes (tightened keyword banks)	No	No	No
Slow-URL observability ([slow-fetch] / [slow-enrich])	Yes	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
Languages proven end-to-end	6 (en, es, fr, de, pt, ja) — 29 available	Varies	Varies	Varies
Data fields per lead	50+	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. Non-English markets — pair language with a matching countryCode (e.g. language=fr, countryCode=fr for France, language=ja, countryCode=jp for Japan); for IP-geolocation parity use a region-matched Evomi residential URL
12. Check [slow-fetch] log lines — if a specific domain keeps appearing, exclude it from enrichmentPages or ship it to a follow-up run with tighter concurrency
13. Schedule regular runs — via Apify Schedules for weekly/monthly lead lists
14. 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. End-to-end testing has been performed on US, UK, Australia, and Malaysia — all return accurate local businesses with correct native-language categories. For other markets, the same parameters work (29 languages available including en, es, fr, de, it, pt, nl, ja, ko, zh-CN, ar, ru, etc.), though we haven't explicitly verified every combination.

How do I get MY/UK/AU/EU-local results? Set countryCode to the ISO code (my, gb, au, de, …) and language to the matching language code. For IP-geolocation parity — important when Google biases results by requester IP — point RESIDENTIAL_PROXY_URL at a region-matched Evomi sticky-hardsession URL (Evomi supports per-country sticky sessions). Without a region-matched IP the results are still good thanks to countryCode, but a local IP sharpens rank-1 relevance.

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@).

How accurate is the rest of the data? Core fields (title, phone, website, address, totalScore, reviewsCount, categoryName) are verified against live Google Maps ground truth sampled across all 10 business-category families — all match on direct-compare fields. Null fields are returned only when the source is also empty (e.g. a business that hasn't published opening hours on Google Maps will come back with openingHours: null), which is the correct behaviour — a null for genuinely-absent data is a correct null, not a gap.

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. The flat serviceOptions array gives you a quick scannable list; the richer additionalInfo object groups the same data into 13 categories (Service options, Highlights, Atmosphere, Crowd, Payments, Children, Parking, etc.) for filterable CRM ingestion.

What is gmbActivityScore? Categorical signal classifying each listing's Google Business Profile activity:

• Active — review in last 90 days AND owner has claimed listing AND rating ≥ 3.0. Reachable, healthy lead.
• Stale — review in last 365 days but missing at least one signal above. Worth reaching out, may need re-engagement pitch.
• Abandoned — no reviews in 365+ days OR unclaimed listing with very few reviews. Either skip or use as "we'll handle your Google presence" pitch.
• Unknown — not enough data to classify (e.g., never been reviewed).

Complements leadQualityScore — Active listings should also have high lead quality scores.

What is addressVerified? Boolean — true when all 5 address components (street, city, state, postal code, country code) are present and the postal code is valid (5 digits for US). Filter for addressVerified: true to avoid sending mail campaigns to incomplete addresses, or to validate data quality before CRM ingestion.

What is scrapeAfterDate and how is it different from leadQualityScoreMinimum? Both are push-time filters that drop leads BEFORE PPE billing. Different criteria:

• scrapeAfterDate filters by lastReviewDate — drops listings with stale activity. Use to skip abandoned businesses.
• leadQualityScoreMinimum filters by composite quality score — drops listings without enough lead-gen signals (no email, no phone, no website, etc.). Use to skip low-information leads.

You can combine both: scrapeAfterDate: "2026-01-01" + leadQualityScoreMinimum: 70 = "only pay for active leads with verified contact data."

What output format should I use? (Pipedrive, Zoho, Airtable, CSV-flat — what's the difference?)

• default — all 65+ raw fields with nested objects. Best for developers and custom workflows.
• hubspot / salesforce / pipedrive / zoho — pre-mapped to each CRM's standard import field names. Download CSV and direct-import into your CRM with zero column mapping.
• airtable — Title Case columns (Lead Quality Score, Has Contact Form) optimized for Airtable bases.
• csvflat — flattens nested objects (socialProfiles.linkedin → socialProfiles_linkedin, reviewsTags → reviewsTags_top5 joined string). Best for Excel users and BI tools that don't handle nested JSON.
• fullcontact — nested JSON for Full Contact-style enrichment pipelines.

What is enrichmentDepth and when should I use it? A single dial that picks the right cost / data tradeoff in one click. Replaces the matrix of enrichWebsites + verifyEmails + returnAllEmails + includeImages + includeReviewsDistribution:

• fast — scraping only, no website visits, no email verification, no images, no reviews distribution. Cheapest + fastest. Great for bulk-prospecting where you only need place names + phones.
• balanced (default behavior) — website enrichment + email verification + reviews distribution. ~80% email hit rate, ~97% margin. The canonical mode.
• deep — everything above + returnAllEmails (multi-email array with confidence scores) + includeImages (up to 10 photo URLs per place). Maximum data per lead.

When set, enrichmentDepth overrides the 5 individual flags. Leave empty to use the individual flags as before (full backward compatibility).

What is leadQualityScoreMinimum? A push-time filter: leads with leadQualityScore below this threshold are DROPPED before being charged for. Set to 70 = "only pay for high-quality reachable leads (verified email, recent reviews, claimed listing, decent rating)". Set to 50 = "drop only the skeleton listings with no contact data". Leave empty (default) = push every result. This directly saves PPE budget on cold leads.

What is hasContactForm? Boolean detected during website enrichment. true when the business website has a contact/inquiry form (form element with name/email/message inputs). Useful qualifier — businesses with contact forms accept inbound web inquiries, making them more reachable. Adds 5 points to leadQualityScore. Only populated when website enrichment is enabled.

What is leadQualityScore? A composite 0-100 metric that blends 10 lead-gen signals into a single sortable number. Components (additive):

• Verified email: +20
• Phone present: +10
• Website present: +10
• 25+ reviews (established business): +10
• Last review within 90 days (active): +15
• Claimed Google Business Profile: +10
• Rating ≥ 4.0: +10
• Any social profile: +5
• 10+ photos on listing: +5
• Has reservation/order URL: +5

Sort your dataset by leadQualityScore desc to prioritize the hottest leads. A score of 75-100 = high-quality reachable lead; 50-74 = decent lead, missing 1-2 signals; <50 = enrich further before outreach. No other Google Maps scraper offers this composite metric.

What is bestCallTime? A pre-computed sales-action recommendation derived from the place's popularTimesHistogram × openingHours. We pick the quietest hour during typical business outreach window (10 AM – 4 PM, weekdays preferred) so your sales call doesn't land during dinner rush. Format: "Tuesday 14:00 (15% busy)". Falls back to globally quietest non-zero hour when business-window doesn't match.

What are peakBusyHour and quietestHour? Derived globally from popularTimesHistogram. peakBusyHour = hour-of-week with highest occupancy (typically dinner/lunch rush). quietestHour = lowest non-zero occupancy hour (avoids closed slots). Both are objects: {day: "Sa", dayFullName: "Saturday", hour: 18, occupancyPercent: 100}.

What is lastReviewDate and daysSinceLastReview? Most-recent review's posting timestamp (ISO 8601) and integer days since. Filter for daysSinceLastReview < 30 to find businesses with active customer engagement (= owner is monitoring = reachable).

What is reviewsTags? Top "guided dining" topics aggregated across recent reviews from the Google Maps reviews-listing endpoint. For restaurants, every review prompts the reviewer for structured signals (meal type, price range, noise level, reservation policy, parking ease, recommendation strength) — we collect those answers and tally them. Result: [["Dinner", 28], ["$100+", 22], ["Reservations recommended", 6], ...] sorted by frequency. Typical fill: 9-21 tags per restaurant. Aspect ratings (Food/Service/Atmosphere) are also surfaced as ["Food (avg 4.7★)", N] entries with the aggregate star rating + sample size. Most useful for sales pitches like "They consistently mention 'Difficult to find parking' — let's pitch them on a delivery integration".

What is popularTimesHistogram? A 7-day × ~18-hour busy chart showing how busy the place typically is each hour of each day. Format: {Mo: [{hour: 19, occupancyPercent: 70}, ...], Tu: [...], ..., Su: [...]}. Useful for sales outreach timing (call when not busy), demand-pattern analysis, and competitive benchmarking. Bonus fields popularTimesLivePercent and popularTimesLiveText populate when scraping during the place's open hours, surfacing "currently 64% busy" / "Less busy than usual" real-time data.

What does claimThisBusiness mean? true = the business owner has NOT claimed their Google Business Profile yet. This is a high-value sales signal — unclaimed listings are common for newer or smaller businesses, and claim-the-listing services are an easy first conversation. false = the listing has been claimed by the business owner.

What URLs does the scraper extract from info[75] (the Google action panel)? Up to four direct booking/ordering links per place: reserveTableUrl (OpenTable / Resy / Google Reserve), menu (external menu URL when Google links to one), googleFoodUrl (Grubhub / DoorDash via Google), and servicesLink (services menu URL for service businesses). All four are null when not applicable to the listing.

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), strictly caps website enrichment bandwidth at ≤500 KB per lead (sequential Layer-1 fetch with a pre-fetch byte budget; observed ≈415 KB/lead on enriched runs), and runs up to 3 queries in parallel by default for ~2.7× wall-time reduction on multi-query runs. Lower compute + strictly-bounded 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.

Follow us on LinkedIn for updates, tips, and new scraper releases.