Google Maps B2B Leads & Email Scraper Guide (2026): Extract Verified Emails, Tech Stacks, Ad Pixels & Outreach Hooks ($0.50/1K)

If you run a B2B outbound agency, build local SaaS tools, manage GoHighLevel workflows, or prospect brick-and-mortar businesses (dentists, medspas, roofing contractors, HVAC companies, law firms, restaurants), Google Maps is the most accurate, real-time directory of local businesses on earth.

Unlike static B2B databases like Apollo or ZoomInfo—which miss up to 70% of local service businesses and charge $59 to $250+ per seat—Google Maps updates every day as new businesses open, change phone numbers, and collect customer reviews.

• There is just one problem: Google Maps listings never display email addresses, social media links, website tech stacks, or advertising pixels. Even if you pay $17.00 to $40.00+ per 1,000 requests for the official Google Places API, you only get a business name, address, phone number, and raw website URL. To build a usable cold-email or SMS campaign, teams are typically forced to chain 2 to 3 separate scrapers together (a Maps scraper, a Website Contact scraper, and a BuiltWith/pixel checker) and stitch messy CSV files together with VLOOKUP.

In this 2026 B2B prospecting guide, we break down how to extract complete, outreach-ready B2B leads in a single pass using the UnitBytes Google Maps Email & Leads Scraper (unitbytes/google-maps-leads-scraper)—delivering 48 flat CRM-ready fields (verified emails, E.164 phone numbers, social links, CMS & ad pixel detection, UNCLAIMED_GBP flags, and cold-outreach review hooks) starting at $0.50 to $1.50 per 1,000 leads.

1. Google Maps B2B Lead Generation Pricing & Feature Comparison (2026)#

When building local B2B lead lists, the hidden cost isn't just scraping the map pin—it's enriching each business with verified decision-maker emails, social profiles, and qualification signals without paying double or triple per record.

2. 5 Core Superpowers Built for Outbound Sales, SMMA & Local SEO Agencies#

1. Single-Pass Website Contact & Decision-Maker Email Enrichment (scrapeContacts: true)

When scrapeContacts: true (enabled by default), the Actor doesn't stop at the Google Maps card. As soon as it extracts a business's Google Maps profile, it automatically visits the business's official website—and follows internal links to high-yield /contact, /contact-us, /about, and /about-us pages—to extract:

• primary_email & emails: Decodes obfuscated mailto: links and protected email strings, filters out false-positive asset filenames (.png, .webp, @2x), CSS tokens, and automated junk addresses (noreply@, wixpress.com, sentry.io, example.com), and ranks real business emails so domain-matched addresses and decision-maker prefixes (owner@, founder@, ceo@, president@, director@, dr@, contact@, hello@, info@, office@, sales@) appear first in primary_email.
• phone & phone_international (E.164 Standard): Automatically formats local phone numbers into strict international E.164 syntax (e.g., +15125550199) ready for immediate import into Twilio, GoHighLevel (GHL), AirCall, RingCentral, or WhatsApp Business, plus website_phones discovered on the business website.
• whatsapp_url & booking_url: Captures direct wa.me / api.whatsapp.com chat links and detects 12+ online appointment/reservation systems (Calendly, Zocdoc, NexHealth, LocalMed, FlexBook, OpenTable, Resy, Vagaro, Booksy, Mindbody, Acuity, Square Appointments).
• 6 Dedicated Social Media Columns: Extracts and normalizes linkedin_url, instagram_url, facebook_url, twitter_url, youtube_url, and tiktok_url into clean root-level columns for multi-channel outbound sequences.

2. Automated Agency Opportunity Flags (agency_opportunity_flags) & Lead Scoring (lead_score)

Instead of cold-calling every business in a city with a generic pitch, unitbytes/google-maps-leads-scraper automatically audits each prospect's digital footprint and populates agency_opportunity_flags alongside a lead_score (0–100):

3. Website CMS & Martech Stack Detection (website_cms & website_tech_stack)

Every website crawl automatically fingerprints the underlying CMS and marketing technology stack at zero extra cost:

• website_cms: Identifies WordPress, Shopify, Wix, Squarespace, Webflow, GoHighLevel, Duda, Weebly, HubSpot CMS, Joomla, Drupal, or Custom / Static.
• website_tech_stack: Detects installed ad pixels, CRM chat widgets, and competing local SEO tools including Meta Pixel, Google Ads / GTag, TikTok Pixel, LinkedIn Insight Tag, HubSpot, Intercom, Stripe, Yext, BrightLocal, Moz Local, Birdeye, and Podium—plus any detected booking platform (Zocdoc, Calendly, Mindbody, OpenTable, etc.).

4. Built-In Cold-Outreach Review Hooks (includeReviewHook & reviewHookType)

Generic cold emails get ignored. Referencing a specific customer review from a prospect's Google Maps listing boosts cold email reply rates by 2x to 4x.

When includeReviewHook: true (default), each lead record includes review_hook_stars, review_hook_author, review_hook_date, review_hook_text, and a 1-click Google policy violation link (review_hook_report_url). You can tailor the hook to your exact offer using reviewHookType:

1. reviewHookType: "most_relevant" (Cold Email Icebreaker Mode — Default): Pulls a detailed customer review so your outbound sequence in Instantly.ai, Smartlead, or Lemlist can open with:

> "Saw {{review_hook_author}}'s {{review_hook_stars}}-star review mentioning '{{review_hook_text}}'—wanted to reach out..." 2. reviewHookType: "lowest_rating" (ORM & 1-Star Takedown Pitch Mode): Pulls the business's top 1-star complaint directly from Google's backend along with its 1-click Google dispute link (review_hook_report_url) so reputation agencies can pitch:

> "We noticed the 1-star review from {{review_hook_author}} ({{review_hook_date}}) dragging down {{business_name}}'s {{rating}}★ rating—here is the direct link to flag it..." 3. reviewHookType: "newest" (Recent Activity Mode): Pulls the most recently published customer review to confirm active customer volume and recent sentiment.

5. All Supported Search & Location Input Formats (searchQueries)

Pass any combination of search queries, URLs, or IDs inside searchQueries (up to maxPlacesPerQuery: 200 businesses per query):

1. Category + City / ZIP Search Queries: "dentists in Austin TX", "roofing contractors in Miami FL", "medspas in 90210", "personal injury lawyers in Chicago IL"
2. Google Maps Search URLs: https://www.google.com/maps/search/implant+dentists/@30.2672,-97.7431,13z
3. Direct Business Place URLs: https://www.google.com/maps/place/Katz's+Delicatessen/@40.722233,-73.987429,17z/
4. Google Place IDs (ChIJ...), Hex Feature IDs (0x...:0x...), or g.page Shortlinks: ChIJ2_VLfRdawokRXKfA6CMf5YQ
5. GPS Coordinates (lat, lng): "30.2672, -97.7431"

3. Complete 48-Field Flat Schema (1-Click CSV, Excel, HubSpot & GoHighLevel Ready)#

Every business extracted by unitbytes/google-maps-leads-scraper is normalized into 48 flat root-level fields—ready to import directly into Excel, Google Sheets, HubSpot, Clay, Instantly.ai, Smartlead, or GoHighLevel:

{
  "input_query": "dentists in Austin TX",
  "status": "OK",
  "scraped_at": "2026-10-24T18:30:12.410291+00:00",
  "error": null,
  "business_name": "Austin Smile & Implant Center",
  "place_id": "ChIJ2_VLfRdawokRXKfA6CMf5YQ",
  "place_cid": "9576097791875393372",
  "feature_id": "0x8644b599a0f15555:0x84e51f23e8c0a75c",
  "knowledge_graph_id": "/g/11b6_r8xyz",
  "primary_category": "Dental clinic",
  "categories": ["Dental clinic", "Cosmetic dentist", "Dental implants periodontist"],
  "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJ2_VLfRdawokRXKfA6CMf5YQ",
  "price_level": "$$",
  "primary_email": "[email protected]",
  "emails": ["[email protected]", "[email protected]"],
  "email_count": 2,
  "has_email": true,
  "phone": "(512) 555-0199",
  "phone_international": "+15125550199",
  "website_phones": ["(512) 555-0199", "(512) 555-0192"],
  "whatsapp_url": "https://wa.me/15125550199",
  "website": "https://www.austinsmilecenter.com/",
  "domain": "austinsmilecenter.com",
  "contact_page_url": "https://www.austinsmilecenter.com/contact-us",
  "booking_url": "https://www.zocdoc.com/practice/austin-smile-center-12345",
  "linkedin_url": "https://www.linkedin.com/company/austin-smile-center",
  "instagram_url": "https://www.instagram.com/austinsmilecenter",
  "facebook_url": "https://www.facebook.com/austinsmilecenter",
  "twitter_url": null,
  "youtube_url": null,
  "tiktok_url": null,
  "social_urls": [
    "https://www.linkedin.com/company/austin-smile-center",
    "https://www.instagram.com/austinsmilecenter",
    "https://www.facebook.com/austinsmilecenter"
  ],
  "address": "1200 Congress Ave, Austin, TX 78701, United States",
  "street": "1200 Congress Ave",
  "neighborhood": "Downtown Austin",
  "city": "Austin",
  "state": "Texas",
  "postal_code": "78701",
  "country_code": "US",
  "country": "United States",
  "plus_code": "7624+9X Austin, Texas",
  "latitude": 30.273412,
  "longitude": -97.740518,
  "timezone": "America/Chicago",
  "rating": 4.8,
  "reviews_count": 342,
  "is_claimed": true,
  "claim_business_url": null,
  "working_hours": {
    "Monday": "8 AM–5 PM",
    "Tuesday": "8 AM–5 PM",
    "Wednesday": "8 AM–5 PM",
    "Thursday": "8 AM–5 PM",
    "Friday": "8 AM–2 PM",
    "Saturday": "Closed",
    "Sunday": "Closed"
  },
  "cover_image_url": "https://lh3.googleusercontent.com/p/AF1QipN...",
  "website_cms": "WordPress",
  "website_tech_stack": ["WordPress", "Meta Pixel", "Google Ads / GTag", "Zocdoc"],
  "has_meta_pixel": true,
  "has_google_ads_tag": true,
  "lead_score": 95,
  "agency_opportunity_flags": [],
  "review_hook_stars": 5,
  "review_hook_author": "Michael Vance",
  "review_hook_date": "3 days ago",
  "review_hook_text": "Dr. Smith and the hygienist team made my dental implant procedure completely painless.",
  "review_hook_report_url": "https://www.google.com/local/review/rap/report?postId=ChdDSUhNMG9nS0VJQ0FnSUN..."
}

All 48 Output Fields by Category

4. Python Tutorial: Scrape B2B Leads & Filter High-Intent Agency Prospects#

You can run unitbytes/google-maps-leads-scraper via the official apify-client Python SDK and segment leads by agency_opportunity_flags in under 30 lines of code:

import os
import pandas as pd
from apify_client import ApifyClient

client = ApifyClient(os.getenv("APIFY_TOKEN", "YOUR_APIFY_TOKEN"))

run_input = {
    "searchQueries": [
        "dentists in Austin TX",
        "medspas in Scottsdale AZ",
        "roofing contractors in Tampa FL",
    ],
    "maxPlacesPerQuery": 50,
    "scrapeContacts": True,            # Crawl homepage + /contact + /about for emails, socials & tech stack
    "includeReviewHook": True,         # Attach a customer review snippet for cold email personalization
    "reviewHookType": "most_relevant", # Or "lowest_rating" to pull 1-star complaints for ORM pitches
    "language": "en",
    "region": "us",
}

# Execute on Apify Cloud ($0.50 - $1.50 per 1,000 B2B leads)
run = client.actor("unitbytes/google-maps-leads-scraper").call(run_input=run_input)

# Load all 48 flat fields directly into a Pandas DataFrame
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
df = pd.DataFrame(items)

# 1. Filter for verified email leads missing a Meta Pixel (high-intent Paid Social prospects)
meta_prospects = df[
    df["has_email"] & (~df["has_meta_pixel"]) & (df["reviews_count"] >= 20)
]
print(f"Found {len(meta_prospects)} established businesses with verified email missing Meta Pixel!")

# 2. Filter for businesses with unclaimed Google Business Profiles or no online booking widget
unclaimed_or_no_booking = df[
    df["agency_opportunity_flags"].apply(
        lambda flags: isinstance(flags, list)
        and ("UNCLAIMED_GBP" in flags or "NO_ONLINE_BOOKING" in flags)
    )
]
print(f"Found {len(unclaimed_or_no_booking)} leads with UNCLAIMED_GBP or NO_ONLINE_BOOKING!")

# Export clean CSV ready for Instantly.ai, Smartlead, Clay, or GoHighLevel
df.to_csv("google_maps_b2b_leads_enriched.csv", index=False)

5. Combine with the Full UnitBytes Google Maps Intelligence Suite#

Once you identify high-value local business prospects with the Google Maps Email & Leads Scraper, you can chain any of the specialized UnitBytes Google Maps engines using the exact place_id (ChIJ...) or google_maps_url:

1. Google Maps Email & Leads Scraper (unitbytes/google-maps-leads-scraper): Extract B2B business leads with verified emails, E.164 phone numbers, social media links, website CMS & ad pixel detection (Meta Pixel, Google Ads), agency_opportunity_flags, and cold-outreach review hooks starting at $0.50 / 1,000 leads.
2. Google Maps Reviews Scraper (unitbytes/google-maps-reviews-scraper): Need more than 1 review hook? Extract up to 10,000 historical reviews per business starting at $0.25 / 1,000 reviews with server-side lowest_rating sorting and reviewKeyword filtering (read the 10K Google Maps Reviews Scraper Guide).
3. Google Maps Review Monitor & Change Tracker (unitbytes/google-maps-reviews-tracker): Stateful cross-run review monitoring that tracks NEW, REMOVED, RATING_CHANGED, TEXT_EDITED, and OWNER_REPLIED reviews across scheduled runs, audits owner reply SLAs (response_time_hours), and generates 1-click Google dispute URLs (review_report_url) (read the Review Monitor & Change Tracker Guide).
4. Google Maps Contributor & Local Guide Scraper (unitbytes/google-maps-contributor-scraper): Investigate suspicious 1-star reviewers by extracting their full cross-location review history, Local Guide badge, and category distribution (read the Contributor Fake Review Audit Guide).
5. Google Maps Photos, Menus & Videos Scraper (unitbytes/google-maps-photos-scraper): Extract uncompressed original (=s0) restaurant menus, storefront photos, and playable MP4 videos at $0.50/1K (read the Photos, Menus & Videos Scraper Guide).

Frequently Asked Questions (FAQ)