📩📍 Google Maps Email Extractor

Pricing

from $7.00 / 1,000 results

Try for free

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📩📍 Google Maps Email Extractor

Try for free

Developed by

Lukáš Křivka

Maintained by Apify

Extract Google Maps contact details. Scrape websites of Google Maps places for contact details and get email addresses, website, location, address, zipcode, phone number, social media links. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

4.0 (62)

Pricing

from $7.00 / 1,000 results

943

40K

4.6K

Issues response

1.8 days

Last modified

17 hours ago

Lead generation

#	Place name title	Total Score totalScore	Reviews Count reviewsCount	Instagrams instagrams	Facebooks facebooks	Linked Ins linkedIns	Youtubes youtubes	Twitters twitters	Phone phone	Website website
1	Moon Cheese Restaurant	4.8	1007	[...]	[...]	[...]	[...]	[...]	(718) 255-1168	https://mooncheeserestaurant.shop/
2	Riviera Maya	4.6	350	[...]	[...]	[...]	[...]	[...]	(718) 255-1722	https://www.rivieramayarestaurant.com/
3	Inca Paisa Restaurant Astoria	4.7	1254	[...]	[...]	[...]	[...]	[...]	(347) 448-6400	https://incapaisaastoria.com/

You can access the 📩📍 Google Maps Email Extractor 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

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=lukaskrivka/google-maps-with-contact-details",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 📩📍 Google Maps Email Extractor

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/?actors=lukaskrivka/google-maps-with-contact-details along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/?actors=lukaskrivka/google-maps-with-contact-details",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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