# Just Eat Restaurant Menu Scraper (`codingfrontend/just-eat-restaurant-menu-scraper`) Actor

Extract detailed menu data from Just Eat restaurant pages including items, prices, variations, deals, and nutritional information.

- **URL**: https://apify.com/codingfrontend/just-eat-restaurant-menu-scraper.md
- **Developed by:** [Coding Frontned](https://apify.com/codingfrontend) (community)
- **Categories:** Developer tools, E-commerce, Automation
- **Stats:** 4 total users, 4 monthly users, 70.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Just Eat Restaurant Menu Scraper

Extract detailed menu data from Just Eat restaurant pages including items, prices, variations, deals, and nutritional information.

### Features

- **Direct URL mode** — scrape specific pages by providing target URLs
- **Location filtering** — narrow results to specific cities, regions, or countries
- **Cloud-ready** — runs on Apify with scheduling, proxy rotation, and webhook support

### Use Cases

- Restaurant discovery, menu research, and comparison
- Recipe database building for cooking or nutrition apps
- Menu and pricing competitive analysis
- Food trend research and culinary content curation

### Input

| Field | Type | Default | Required | Description |
|-------|------|---------|----------|-------------|
| `mode` | string | `menuUrl` |  | Scraping mode: search by keyword or provide direct URLs. Options: `menuUrl`, `restaurantSlug` |
| `startUrls` | array | `—` |  | Just Eat restaurant menu URLs to scrape (e.g. https://www.just-eat.co.uk/restaurants/nandos-barnet/menu) |
| `restaurantSlugs` | array | `—` |  | Just Eat restaurant slugs from the URL (e.g. nandos-barnet). UK site used. |
| `country` | string | `uk` |  | Just Eat country domain. Options: `uk`, `ie`, `au`, `nz`, `ca`, `dk`, `no`, `be` |
| `maxItems` | integer | `20` |  | Maximum number of items to scrape |
| `proxyConfiguration` | object | Apify Residential |  | Proxy settings. Residential proxy is strongly recommended |

### Output

Each scraped item includes:

| Field | Description |
|-------|-------------|
| `restaurantId` | Restaurant id |
| `restaurantName` | Restaurant name |
| `restaurantUrl` | Restaurant url |
| `categoryId` | Category id |
| `categoryName` | Category name |
| `itemId` | Item id |
| `itemName` | Item name |
| `itemDescription` | Item description |
| `price` | Current price as displayed on the site |
| `currency` | Currency code (e.g. USD, EUR, GBP) |
| `priceFormatted` | Price formatted |
| `imageUrl` | Image url |
| `calories` | Calories |
| `kJ` | K j |
| `allergens` | Allergens |
| `variations` | Variations |
| `isPopular` | Is popular |
| `isDeal` | Is deal |
| `isVegetarian` | Is vegetarian |
| `isVegan` | Is vegan |

#### Sample Output

```json
{
  "restaurantId": "restaurantId_value",
  "restaurantName": "restaurantName_value",
  "restaurantUrl": "restaurantUrl_value",
  "categoryId": "categoryId_value",
  "categoryName": "categoryName_value",
  "itemId": "itemId_value",
  "itemName": "itemName_value",
  "itemDescription": "itemDescription_value"
}
```

### Notes

- **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }`
- **Rate limits**: Keep `maxItems` reasonable per run to avoid IP bans or rate throttling
- **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset

# Actor input Schema

## `mode` (type: `string`):

Scraping mode: search by keyword or provide direct URLs

## `startUrls` (type: `array`):

Just Eat restaurant menu URLs to scrape (e.g. https://www.just-eat.co.uk/restaurants/nandos-barnet/menu)

## `restaurantSlugs` (type: `array`):

Just Eat restaurant slugs from the URL (e.g. nandos-barnet). UK site used.

## `country` (type: `string`):

Just Eat country domain

## `maxItems` (type: `integer`):

Maximum number of non-empty menu item records to emit

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

Proxy configuration for the crawler (RESIDENTIAL recommended)

## Actor input object example

```json
{
  "mode": "menuUrl",
  "startUrls": [
    "https://www.just-eat.co.uk/restaurants/nandos-barnet/menu"
  ],
  "country": "uk",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "startUrls": [
        "https://www.just-eat.co.uk/restaurants/nandos-barnet/menu"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("codingfrontend/just-eat-restaurant-menu-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 = { "startUrls": ["https://www.just-eat.co.uk/restaurants/nandos-barnet/menu"] }

# Run the Actor and wait for it to finish
run = client.actor("codingfrontend/just-eat-restaurant-menu-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 '{
  "startUrls": [
    "https://www.just-eat.co.uk/restaurants/nandos-barnet/menu"
  ]
}' |
apify call codingfrontend/just-eat-restaurant-menu-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/r6NhNu0VwbhVEUHTa/builds/9jSNfhdbIeeAgeeCx/openapi.json