Google Maps Places & Local Business Database | 47M+ Enriched B2B Leads, Emails, Phones & Socials

Short Description

Instantly extract local business leads, verified contacts, and location intelligence from a massive pre-indexed Google Maps database containing over 47 million places across 150+ countries. Base snapshot collected on October 1, 2026, and enriched monthly with cross-source intelligence (Google Maps, Overture, Foursquare). Filter by country, category, city, and target ready-to-contact leads having verified phone numbers, direct email addresses, websites, or specific social media profiles.

• ✅ 47M+ verified Google Maps businesses across 150+ countries (US, CN, IN, EU, UK, LATAM, APAC, MENA)
• ✅ Base snapshot October 1, 2026 , continuously enriched & updated every month
• ✅ Multi-channel contact filters : Target businesses with phones, emails, active websites, or specific social profiles (Instagram, Facebook, LinkedIn, X, TikTok, YouTube, Telegram, WhatsApp)
• ✅ No browser overhead or proxies : Instant SQL-backed delivery without blocks, rate limits, or CAPTCHAs
• ✅ Ready-to-use exports : Excel (XLSX), CSV, JSON, XML, or Parquet
• ✅ Automation friendly : Connect via native API or webhooks to Make, Zapier, n8n, and your CRM

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What Data Can Be Extracted?

Every record provides rich firmographic details, verified digital touchpoints, and geocoordinates:

Field	Type	Description
place_id	String	Unique Google Places identifier
google_id/cid/fid	String	Native Google IDs, CID, and Feature ID
title/title_clean	String	Business name (formatted and normalized)
category	String	High-level industry sector (e.g.,Food & Dining,Healthcare & Medical)
google_category	String	Native Google Maps category (e.g.,Sandwich shop,Dentist)
rating	Float	Average Google rating (1.0 to 5.0)
reviews_count	Integer	Total count of user reviews on Google Maps
address	String	Full street address
city/postal_code	String	City and ZIP / Postal code
country_code	String	ISO 2-letter country code (e.g.,US,DE,GB)
timezone	String	Local timezone identifier (e.g.,America/Denver)
phone	String	Primary verified telephone number
phones_additional	Array	Extra verified phone numbers
email_primary/emails	String / Array	Verified primary email and list of associated emails
website/domain	String	Full website URL and clean domain name
instagram/facebook	String	Direct links to Instagram and Facebook pages
linkedin/twitter	String	Direct links to LinkedIn company page and X (Twitter)
tiktok/youtube	String	Direct links to TikTok and YouTube channels
telegram/whatsapp	String	Direct messaging links (Telegram, WhatsApp)
social_links_raw	JSON String	Raw map of all detected social profiles
google_maps_url	String	Direct Google Maps profile link
opening_hours	JSON	Full operating hours schedule by day
sources	Array	Attribution sources (e.g.,["google", "overture", "foursquare"])
enriched_at/data_updated_at	Timestamp	Date and time when the record was last enriched

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Key Features

• Massive Scale (47M+ Places) : Directly query a pre-indexed index of 47+ million verified locations worldwide.
• Monthly Enrichment & Updates : Base data collected on 01.10.2026 is cross-referenced and enriched monthly with social media footprints, emails, and directory data.
• Granular Contact Targeting : Run high-intent sales searches using targeted toggles:
• hasPhone — businesses with reachable phone lines
• hasEmail — businesses with corporate or personal emails
• hasWebsite — companies with active web domains
• socialNetwork — filter businesses active on a specific platform (Instagram, LinkedIn, etc.)
• Flexible Category System : Choose from 21 standardized sectors, specify exact Google categories, or leave empty to extract all categories for the chosen country/city.
• Instant Delivery : No emulated headless browsers clicking through pages. Fast backend database queries deliver leads in seconds.

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How to Use the Actor

1. Select Country Code : Choose target country (e.g., US, GB, DE, FR).
2. Select Category (Optional) : Choose one of the 21 standardized categories or enter a custom Google Category. Leave blank to scrape across all industries.
3. Refine Location (Optional) : Enter a specific city name (e.g., Miami, Berlin).
4. Apply Contact Filters : Toggle required contact channels (Must have phone, Must have email, Must have website, or pick a target social network).
5. Set Max Items : Define your batch limit (or set 0 for unlimited export).
6. Run & Export : Click Start . Once finished, export your leads directly to CSV, Excel, or JSON.

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Input Example

{
  "category": "Food & Dining",
  "countryCode": "US",
  "hasEmail": true,
  "hasPhone": true,
  "hasWebsite": true,
  "maxItems": 100
}

Output Example

[
  {
    "place_id": "ChIJ35d8rkoIW1MRg2kcBhwQn4g",
    "google_id": "/g/1tlbnts_",
    "cid": "9844605023002847619",
    "fid": "0x535b084aae7c97df:0x889f101c061c6983",
    "title": "Subway",
    "title_clean": "subway",
    "category": "Food & Dining",
    "google_category": "Sandwich shop",
    "rating": 4,
    "reviews_count": 355,
    "latitude": 46.0094585,
    "longitude": -112.5389002,
    "address": "subway, 350 s montana st, butte, mt 59701",
    "city": "butte",
    "postal_code": "59701",
    "country_code": "US",
    "timezone": "America/Denver",
    "phone": "+14067237035",
    "phones_additional": [],
    "emails": [
      "gene.gense@subway.com"
    ],
    "email_primary": "gene.gense@subway.com",
    "website": "restaurants.subway.com/united-states/mt/butte/350-montana-st",
    "domain": "restaurants.subway.com",
    "instagram": "https://www.instagram.com/subway",
    "facebook": "https://www.facebook.com/subway",
    "linkedin": "https://www.linkedin.com/company/subway",
    "twitter": "https://twitter.com/subway",
    "tiktok": "https://www.tiktok.com/@subway",
    "youtube": "https://www.youtube.com/user/subway",
    "telegram": null,
    "whatsapp": null,
    "social_links_raw": "{\"tiktok\": \"https://www.tiktok.com/@subway\", \"twitter\": \"https://twitter.com/subway\", \"youtube\": \"https://www.youtube.com/user/subway\", \"facebook\": \"https://www.facebook.com/subway\", \"linkedin\": \"https://www.linkedin.com/company/subway\", \"instagram\": \"https://www.instagram.com/subway\"}",
    "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJ35d8rkoIW1MRg2kcBhwQn4g",
    "reservations_url": null,
    "opening_hours": "{\"schedule\":{\"Friday\":\"9 AM–10 PM\",\"Monday\":\"9 AM–10 PM\",\"Saturday\":\"9 AM–10 PM\",\"Sunday\":\"9 AM–10 PM\",\"Thursday\":\"9 AM–10 PM\",\"Tuesday\":\"9 AM–10 PM\",\"Wednesday\":\"9 AM–10 PM\"},\"status\":\"Open · Closes 10 PM\"}",
    "attributes": null,
    "enriched_at": "2026-10-09 12:49:54.017397+00",
    "data_updated_at": "2026-10-09 12:49:54.017397+00"
  }
]

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Use Cases

1. B2B Outbound Campaigns (Cold Calling & Email)

Generate sales pipeline lists with verified direct lines, primary emails, and decision-maker insights. Toggle hasEmail and hasPhone to avoid buying dead records.

2. Social Media & Creator Marketing

Pitch social management, short-form video production, or influencer sponsorships to local businesses by identifying active profiles on Instagram, TikTok, or YouTube.

3. Local SEO & Agency Audits

Identify local businesses lacking websites, showing low review counts, or missing social channels to offer Google Business Profile management, website redesign, and reputation building.

4. Market Research & Geodemographics

Analyze retail density, food and beverage distribution, or competitor footprints across postal codes and metropolitan areas.

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Pricing

Simple usage-based pricing: 0.50 USD per 1,000 extracted records (0.0005 USD per place).

Records Extracted	Estimated Total Cost
100 records	$0.05
1,000 records	$0.50
5,000 records	$2.50
10,000 records	$5.00
50,000 records	$25.00

• No proxy costs, CAPTCHA expenses, or hidden compute overheads.
• You only pay for valid records delivered to your dataset.

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Frequently Asked Questions (FAQ)

Where does this data come from?

The base dataset consists of 47M+ Google Maps places snapshot as of October 1, 2026, continuously enriched monthly with data points from Google, Foursquare, Overture Maps, and public business registries.

Can I search across all categories at once?

Yes. Simply leave the Category dropdown and Google Category field empty. The Actor will extract places across all industries in the specified country or city.

Do I need to buy proxies or provide API keys?

No. Everything is served directly by the backend database. No proxies, CAPTCHA services, or external API keys are required.

What happens if I set Max Items to 0?

Setting maxItems to 0 enables unlimited extraction mode, exporting all matching places for your search criteria.

How do I export data directly to my CRM?

You can download the dataset as CSV or Excel and upload it to HubSpot, Salesforce, or Lemlist. Alternatively, use the Apify API or native webhooks with Zapier, Make, or n8n to pipe new leads automatically.