# MenuPix Restaurant Scraper - Phone, Website & Address Leads (`scrapersdelight/menupix-restaurant-scraper`) Actor

Scrape US restaurants from MenuPix by metro: name, phone, the operator's OWN website, full address, cuisine, price tier and rating. Structured B2B lead lists for POS, online-ordering and restaurant-marketing sales. No login.

- **URL**: https://apify.com/scrapersdelight/menupix-restaurant-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** Automation, Lead generation, Agents
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 1,000 per restaurant returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## MenuPix Restaurant Scraper

Turn MenuPix city directories into a structured, ready-to-work US-restaurant lead list — name, phone, the operator's **own website**, full address, cuisine, price tier and rating, one row per restaurant.

### What you get

Each record is one restaurant:

- **name** — restaurant name
- **phone** — as published on MenuPix
- **website** — the restaurant's **OWN domain** (not a MenuPix or delivery-platform link) — the field Google-Maps scrapers surface inconsistently and delivery scrapers never expose; the hook for email-enrichment and tech-stack detection
- **streetAddress · city · state · postalCode · fullAddress** — full mailing address
- **cuisine** — array of cuisine/diet tags (e.g. `["Japanese", "Sushi", "Gluten-Free"]`)
- **priceRange** — price tier (`$`–`$$$$`) for segmentation
- **rating · reviewCount** — MenuPix aggregate rating
- **hoursToday** — today's hours when listed
- **sourceCity · menupixId · menupixUrl** — provenance

### Use cases

- **POS / online-ordering prospecting** (Toast, Square, SpotOn, ChowNow, Slice, Olo) — target operators by metro with a direct phone + own website.
- **Cuisine / price-segmented outreach** — filter to, say, `$$$$` Japanese or `$` cafes.
- **Market sizing by metro** — count and profile the restaurant base of any of MenuPix's 300+ US metros.
- **Reputation / marketing-agency lists** — rating + reviewCount to prioritize accounts.

### Input

| Field | Description |
|-------|-------------|
| `cities` | MenuPix metro slugs (e.g. `austin`, `nyc`, `boston`). Leave empty to crawl **all** metros from `browsemetro.php`. |
| `maxRestaurants` | Stop after this many records (`0` = no limit). |
| `onlyWithContact` | Skip listings with neither a phone nor a website (default `true`). |
| `proxyConfiguration` | The **shared Apify proxy pool** is the default and is enough for MenuPix (A/B measured: identical rows and field fill vs residential). Switch to **Residential (US)** in one click if Cloudflare ever challenges you. |

**Example:**

```json
{
  "cities": ["austin"],
  "maxRestaurants": 200,
  "onlyWithContact": true,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

### Output sample

```json
{
  "name": "Uchi Restaurant",
  "streetAddress": "801 S Lamar Blvd",
  "city": "Austin",
  "state": "TX",
  "postalCode": "78704",
  "fullAddress": "801 S Lamar Blvd, Austin, TX 78704",
  "phone": "(512) 916-4808",
  "website": "http://www.uchikoaustin.com/",
  "cuisine": ["Japanese", "Sushi", "Gluten-Free"],
  "priceRange": "$$$$",
  "rating": 4.7,
  "reviewCount": 42,
  "hoursToday": "4:00pm-10:00pm",
  "sourceCity": "austin",
  "menupixId": "4333865",
  "menupixUrl": "https://www.menupix.com/austin/restaurants/4333865/Uchi-Restaurant-Austin-TX"
}
```

### Honest notes

- Phone and website are provided **as published on MenuPix** — they are not independently verified.
- **No email is provided.** MenuPix does not expose emails; enrich downstream from the `website` field.
- Coverage is whatever MenuPix lists for a given metro — it is a broad but not exhaustive census of every restaurant.
- You are responsible for complying with MenuPix's Terms of Service and applicable law.

# Actor input Schema

## `cities` (type: `array`):

MenuPix metro slugs to scrape (e.g. "austin", "nyc", "boston"). Leave empty to crawl all metros from browsemetro.php.

## `maxRestaurants` (type: `integer`):

Stop after collecting this many records (0 = no limit). Default 100 keeps a bare {} run fast and cheap.

## `onlyWithContact` (type: `boolean`):

Skip listings that expose neither a phone nor a website.

## `proxyConfiguration` (type: `object`):

Proxy settings. The shared Apify proxy pool (no group) is the DEFAULT — measured identical row counts and identical per-restaurant field fill vs RESIDENTIAL US on MenuPix, at a fraction of the cost. RESIDENTIAL (US) is a one-click escalation if Cloudflare ever challenges the shared pool.

## Actor input object example

```json
{
  "cities": [
    "austin"
  ],
  "maxRestaurants": 10,
  "onlyWithContact": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `records` (type: `string`):

The dataset of scraped MenuPix restaurants (one item per restaurant).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "cities": [
        "austin"
    ],
    "maxRestaurants": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapersdelight/menupix-restaurant-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "cities": ["austin"],
    "maxRestaurants": 10,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapersdelight/menupix-restaurant-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cities": [
    "austin"
  ],
  "maxRestaurants": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapersdelight/menupix-restaurant-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapersdelight/menupix-restaurant-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RJR9reEtE2POUTXCe/builds/iIyAGXbVq8w8mhH4d/openapi.json