# 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:** 6 total users, 2 monthly users, 0.0% 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/actors/running/actors-in-store.md#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

Collect public menu items from canonical Just Eat UK restaurant pages. The Actor uses an ordinary Playwright browser because the menu state is embedded in the rendered application; it does not rewrite navigator properties, suppress automation signals, or apply generated fingerprints.

Use `mode: "menuUrl"` with up to 20 canonical `https://www.just-eat.co.uk/restaurants-{slug}/menu` URLs, or `mode: "restaurantSlug"` with up to 20 slug segments. `country` accepts only `uk`; `maxItems` is bounded to 1–200; `proxyConfiguration` is optional. Unknown fields, invalid hosts/routes, and numeric strings are rejected.

Successful rows contain restaurant/category/item identifiers and names, available price/media/nutrition/dietary/variation fields, and exact page/HTTP/browser/fingerprint/proxy/truth provenance. Optional values are omitted when the page state does not publish them. Dataset rows are globally deduplicated by item and category. Failures appear in `OUTPUT`, which reports `SUCCESS`, `PARTIAL`, `NO_RESULTS`, or `FAILED`; a fully failed run exits nonzero.

Just Eat controls public access, page state, prices, availability, and optional metadata. Fixed UK residential access may be needed when direct or data-center routes receive HTTP 403. `maxItems` is an upper bound, not an exact-count promise.

Run `npm test`, `npm run lint`, and `node validate-datasets.js storage/datasets/default` locally. The validator also accepts a JSON file or JSON/JSONL on standard input.

# Actor input Schema

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

Process canonical menu URLs or build them from UK restaurant slugs.

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

Up to 20 canonical https://www.just-eat.co.uk/restaurants-{slug}/menu URLs.

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

Up to 20 slug segments from canonical Just Eat UK menu URLs.

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

Only the verified UK storefront is supported.

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

Maximum unique menu item records across all requested restaurants.

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

Optional Apify proxy configuration; fixed UK residential access may be required.

## Actor input object example

```json
{
  "mode": "menuUrl",
  "startUrls": [],
  "restaurantSlugs": [],
  "country": "uk",
  "maxItems": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

# 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 = {};

// 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 = {}

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

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

```

## CLI example

```bash
echo '{}' |
apify call codingfrontend/just-eat-restaurant-menu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,codingfrontend/just-eat-restaurant-menu-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/r6NhNu0VwbhVEUHTa/builds/hFfpzBm4ncahDbB8c/openapi.json