📩📍 Google Maps Email Extractor avatar
📩📍 Google Maps Email Extractor

Pricing

$9.00 / 1,000 Results

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📩📍 Google Maps Email Extractor

📩📍 Google Maps Email Extractor

lukaskrivka/google-maps-with-contact-details

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.

4.7 (47)

Pricing

$9.00 / 1,000 Results

599

Monthly users

6.3k

Runs succeeded

90%

Response time

4.5 days

Last modified

2 days ago

imageUrl

title

totalScore

reviewsCount

phone

city

website

https://lh5.googleusercontent.com/p/AF1QipNrgdoicPPrlWK1ZokL0ajfKWduz6YWKx8PQAS1=w408-h306-k-no

**** - Restaurant & Bar

4.4

920

(718) 347-****

Queens

https://www.****.com/

https://lh5.googleusercontent.com/p/AF1QipMg-qwl_2PZzRbnKXncQxtAqAkTObmzaveWt2om=w408-h342-k-no

******* Restaurant And Bar

4.5

2069

(718) 347-****

Queens

https://*****.com/

https://lh5.googleusercontent.com/p/AF1QipPazcnp1negFxNI5ycluKtRPn19VEbvIORrHgx9=w408-h306-k-no

****** Famous Pizza

4

475

(718) 347-****

Queens

https://www.******.com/

The data above is synthetic and does not reflect real-world values. View full dataset

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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=lukaskrivka/google-maps-with-contact-details"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using 📩📍 Google Maps Email Extractor via Model Context Protocol (MCP) server

MCP server lets you use 📩📍 Google Maps Email Extractor within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the 📩📍 Google Maps Email Extractor Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "searchStringsArray": [
8            "restaurant"
9      ],
10      "locationQuery": "New York, USA",
11      "language": "en"
12},
13    "name": "lukaskrivka/google-maps-with-contact-details"
14  }
15}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for 📩📍 Google Maps Email Extractor

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "lukaskrivka/google-maps-with-contact-details"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Pricing

Pricing model

Pay per result 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$9.00