Google Maps Email Scraper

Under maintenance

Pricing

from $1.80 / 1,000 results

Try for free

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Google Maps Email Scraper

Under maintenance

Try for free

Extract complete business data from Google Maps including name, address, phone, website, reviews, ratings, and verified emails. Perfect for digital marketers, agencies, and sales teams to generate leads, analyze competitors, or build verified contact databases at scale.

Pricing

from $1.80 / 1,000 results

Rating

0.0

(0)

Developer

shreyanshu maske

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

Lead generation

Automation

SEO tools

You can access the Google Maps Email Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "location": {
            "title": "Location",
            "type": "string",
            "description": "City or area to search (e.g., Mumbai, New York, London)",
            "default": "Mumbai"
          },
          "business": {
            "title": "Business Type",
            "type": "string",
            "description": "Type of business to search (e.g., dentist, restaurant, salon, lawyer, plumber)",
            "default": "dentist"
          },
          "count": {
            "title": "Number of Places",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Number of businesses to extract (recommended: 50-100 for balanced results)",
            "default": 50
          },
          "enableEmailValidation": {
            "title": "Enable Full Email Validation",
            "type": "boolean",
            "description": "⚠️ SLOW: Performs DNS MX and SMTP checks (adds 2-3 seconds per email). Disable for 5x faster extraction with syntax-only validation.",
            "default": false
          },
          "includeInvalidEmails": {
            "title": "Include Invalid Emails in Output",
            "type": "boolean",
            "description": "Include businesses with invalid emails in the final dataset (marked as invalid). Useful for manual verification.",
            "default": false
          },
          "maxPagesPerWebsite": {
            "title": "Max Pages to Check per Website",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "⚠️ Higher = Slower. Checks homepage + N additional pages (contact, about, etc.). Recommended: 2-3 for speed.",
            "default": 2
          },
          "onlyWithEmails": {
            "title": "Save Only Businesses With Emails",
            "type": "boolean",
            "description": "If enabled, only businesses with found emails will be saved to the dataset. If disabled (recommended), all scraped businesses will be saved regardless of email availability.",
            "default": false
          },
          "smartDelayMin": {
            "title": "Minimum Smart Delay (ms)",
            "minimum": 0,
            "maximum": 2000,
            "type": "integer",
            "description": "Minimum randomized delay between actions in milliseconds. Lower = faster but higher chance of throttle. Default: 50",
            "default": 50
          },
          "smartDelayMax": {
            "title": "Maximum Smart Delay (ms)",
            "minimum": 0,
            "maximum": 5000,
            "type": "integer",
            "description": "Maximum randomized delay between actions in milliseconds. Default: 120",
            "default": 120
          },
          "scraperTimeoutMs": {
            "title": "Scraper Navigation Timeout (ms)",
            "minimum": 1000,
            "maximum": 120000,
            "type": "integer",
            "description": "Global timeout for page navigation and waits in milliseconds. Lower values speed up runs but may cause more timeouts. Default: 8000",
            "default": 8000
          }
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
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              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
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                    "type": "integer",
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Google Maps Email Scraper — Extract Business Leads & Emails OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Maps Email Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Maps Email Scraper API in Python

Google Maps Email Scraper API in JavaScript

Google Maps Email Scraper API through CLI

Google Maps Email Scraper API

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