# New York Restaurant Email Extractor

**Use case:** 

This tool extracts email addresses, phone numbers, and essential details of restaurants in New York, USA. Perfect for gathering direct contact info quickly and accurately. Get insights into up to 50 restaurant listings, ensuring you can connect with local businesses with ease.

## Input

```json
{
  "searchStringsArray": [
    "restaurant"
  ],
  "locationQuery": "New York, USA",
  "maxCrawledPlacesPerSearch": 50,
  "language": "en",
  "categoryFilterWords": [
    "pizza",
    "italian"
  ],
  "searchMatching": "all",
  "placeMinimumStars": "",
  "website": "allPlaces",
  "skipClosedPlaces": false,
  "scrapePlaceDetailPage": false,
  "scrapeTableReservationProvider": false,
  "scrapeOrderOnline": false,
  "includeWebResults": false,
  "scrapeDirectories": false,
  "maxQuestions": 0,
  "scrapeSocialMediaProfiles": {
    "facebooks": false,
    "instagrams": false,
    "tiktoks": false,
    "twitters": false,
    "youtubes": false
  },
  "maximumLeadsEnrichmentRecords": 0,
  "leadsEnrichmentDepartments": [
    "sales",
    "marketing"
  ],
  "verifyLeadsEnrichmentEmails": false,
  "countryCode": "US",
  "city": "New York",
  "state": "New York",
  "county": "New York County",
  "postalCode": "10001",
  "customGeolocation": {
    "type": "Point",
    "coordinates": [
      -73.9857,
      40.7484
    ]
  },
  "startUrls": [
    {
      "url": "https://www.google.com/maps/place/Yellowstone+National+Park/@44.5857951,-110.5140571,9z/data=!3m1!4b1!4m5!3m4!1s0x5351e55555555555:0xaca8f930348fe1bb!8m2!3d44.427963!4d-110.588455?hl=en-GB"
    }
  ]
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "string"
  },
  "title": {
    "label": "Place name",
    "format": "string"
  },
  "totalScore": {
    "label": "Total score",
    "format": "number"
  },
  "reviewsCount": {
    "label": "Reviews count",
    "format": "integer"
  },
  "emails": {
    "label": "Emails",
    "format": "array"
  },
  "phones": {
    "label": "Phones",
    "format": "array"
  },
  "city": {
    "label": "City"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "url": {
    "label": "Google Maps",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Maps Email Extractor Pro](https://apify.com/nodeflow/google-maps-email-extractor-pro.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nodeflow/google-maps-email-extractor-pro.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nodeflow/google-maps-email-extractor-pro.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).