# Just Eat Menu Scraper — Items, Prices & Categories (`bakos_bence/justeat-menus`) Actor

Scrape Just Eat restaurant menus — item names, prices with currency, categories, and variations from menu URLs or restaurant slugs. Pair with the area restaurant scraper.

- **URL**: https://apify.com/bakos\_bence/justeat-menus.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.49 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What does Just Eat Restaurant Menu Scraper do?

**Scrape Just Eat restaurant menus** — **item name, price with currency, category, and variations** — from menu URLs or restaurant slugs. Business / menu facts only (no diner personal data).

**Unofficial.** This Actor is **not affiliated with, endorsed by, or maintained by Just Eat Takeaway.com** or Just Eat. It reads **public** restaurant menus only.

**Dashboards:** connect **Power BI**, **Tableau**, **Looker Studio**, or **Qlik** to the dataset API — see *Export to Power BI, Tableau, Looker Studio & Qlik* near the end. **AI agents:** paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Pair with the [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) for **discovery → menu** pipelines.

#### Why use this Just Eat menu scraper?

- 🍔 Full menu item rows with **prices + currency**
- 📂 Categories and variations when exposed
- 🔁 Modes: `menuUrl` or `restaurantSlug`
- 🔑 Field names match common Store Actors for migration
- 🇬🇧 `country` selector (`uk` default, `ie`, …)

#### What menu data can you extract?

Menu item name, price, currency, category, variation options, restaurant identifiers, and the public `menuUrl`.

#### Use cases

- Menu / price monitoring for takeaway venues
- Category assortment research
- **Pipeline step 2** after [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) area runs

#### How to scrape a Just Eat menu

1. Open this Actor in [Apify Console](https://console.apify.com/).
2. Click **Start** on the prefilled UK menu URL (`maxItems` 5), or paste your own `startUrls`.
3. Optionally switch `mode` to `restaurantSlug` and enter slugs (set `country` if not UK).
4. Keep Apify **Residential** proxy if you hit 403s. Export the dataset.

```json
{
  "mode": "menuUrl",
  "startUrls": ["https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"],
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

#### How much does it cost?

**PPE:** Actor start + each menu-item **result**. Around **$4.29 / 1,000** on Free (see Pricing tab for tiers). Platform usage is included. Default run is 5 items.

#### Input

| Input | Notes |
|-------|--------|
| `mode` | `menuUrl` (default) or `restaurantSlug` |
| `startUrls` | Full menu URLs |
| `restaurantSlugs` | e.g. `magic-wok-new-finsbury-ec1v` |
| `country` | `uk` (default), `ie`, … |
| `maxItems` | Cap on menu item rows (prefill **5**) |
| `proxyConfiguration` | Apify Proxy — **Residential** recommended |

#### Sample output

```json
{
  "id": "abc123",
  "name": "Chicken Chow Mein",
  "description": "Stir-fried noodles with chicken",
  "category": "Noodles",
  "price": 8.9,
  "currency": "GBP",
  "variations": [{ "Name": "Regular", "BasePrice": 8.9 }],
  "restaurantName": "Magic Wok",
  "restaurantSeoName": "magic-wok-new-finsbury-ec1v",
  "menuUrl": "https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu",
  "country": "uk"
}
```

#### FAQ

##### Restaurant listings or menus?

This Actor is **menus**. Use [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) for area discovery.

##### Personal data?

No diner / customer personal data — restaurant menu business facts only. Venue phone/email from the menu payload are stripped.

##### Two-step Just Eat pipeline?

1. [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) — area URL → restaurant rows
2. **This Actor** — menu URL or slug → item prices (separate run, separate PPE)

##### Legal?

Public menu facts. This Actor is unofficial and not affiliated with Just Eat.

##### Need help?

Open an issue on this Actor’s [Issues](https://console.apify.com/actors/bakos_bence~justeat-menus/issues) tab in Apify Console.

#### Related Actors

| Actor | Use together when… |
|-------|-------------------|
| [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) | You need to **discover venues** first; this Actor scrapes menus only |
| [Just Eat Restaurant Menu Scraper](https://apify.com/bakos_bence/justeat-menus) | *(this Actor)* — items, categories, variations |

Profile: [bakos\_bence on Apify](https://apify.com/bakos_bence)

#### For AI agents & LLM apps

Paste this Actor’s **Apify Store URL** into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

**Actor ID:** `bakos_bence/justeat-menus`

**Minimal input:**

```json
{
  "mode": "menuUrl",
  "startUrls": ["https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"],
  "maxItems": 5
}
```

#### Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify **dataset**. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a **CSV URL** that refreshes when you scrape again.

**Prefer the token in the URL** (`token=`) — most tools only need “open this link as CSV”, with no custom headers.

##### Build a refreshable CSV URL

1. In Apify Console, open **Settings → Integrations** and copy an API token.
2. Save this Actor as a **Task** (optional but best for dashboards), run or **schedule** it once so there is a successful run.
3. Use the **latest successful task run** URL (replace `TASK_ID` and `YOUR_TOKEN`):

```text
https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN
```

Or, from any finished run, open the **Dataset** tab, copy the dataset ID, and use:

```text
https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN
```

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the `actor-tasks/…/runs/last/…` form so refresh always hits the newest successful scrape.

##### Power BI

1. Open Power BI Desktop → **Home** → **Get data** → **Web**.
2. Paste the CSV URL (including `token=`).
3. When asked how to sign in, choose **Anonymous** → **Connect**.
4. Confirm the preview is a table (CSV). **Load** or **Transform data** as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task `runs/last` keeps it current after each scrape).

`401`: token missing/wrong, or you did not pick **Anonymous**.

##### Tableau

1. Install Tableau’s **REST API** connector from Tableau Exchange (Desktop **2023.3+**).
2. **Connect** → **To a Server** → **REST API**.
3. Paste the CSV URL (including `token=`). Set response format to **CSV**.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an **extract**. Refresh the extract after scheduled Task runs (or point at `runs/last` so each refresh loads the latest success).

Plain **Text file** connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

##### Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In **A1** enter:

```text
=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")
```

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → **Create** → **Report** → **Google Sheets** → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio **File upload**.

##### Qlik

**REST connector** (refreshable):

1. In Qlik Cloud / Qlik Sense → **Add data** → **REST** (or create a REST connection in the Data load editor).
2. URL = the CSV URL including `token=`. Method **GET**.
3. Set the expected response type to **CSV** (or use `format=json` and JSON mode).
4. **Test connection**, pick the table, **Add** / **Load**.
5. **Reload** the app after scheduled scrapes; with `runs/last`, each reload pulls the latest successful dataset.

**Files:** Dataset tab → download CSV → **Add data** → upload the file (fine for a single snapshot).

#### SEO keywords

just eat menu scraper, scrape just eat menu, justeat menu api, takeaway menu prices, restaurant menu data uk, just eat item prices, food delivery menu scraper

# Actor input Schema

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

Choose menu URLs or restaurant slugs from the Just Eat URL path.

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

Paste restaurant menu page URLs (…/restaurants-…/menu).

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

Enter slugs from the URL path (e.g. nandos-barnet). Used with country.

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

Pick the Just Eat country domain.

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

Cap non-empty menu item rows. Prefill 5 for a cheap first run.

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

Keep Apify Residential for reliable menu JSON.

## Actor input object example

```json
{
  "mode": "menuUrl",
  "startUrls": [
    "https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"
  ],
  "country": "uk",
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Default dataset items.

# 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-magic-wok-new-finsbury-ec1v/menu"
    ],
    "maxItems": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/justeat-menus").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-magic-wok-new-finsbury-ec1v/menu"],
    "maxItems": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/justeat-menus").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 '{
  "startUrls": [
    "https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"
  ],
  "maxItems": 5
}' |
apify call bakos_bence/justeat-menus --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bakos_bence/justeat-menus"
        }
    }
}

```

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/2vcvcuWby40PBM80Y/builds/2WFYTnp6exeY8gAGa/openapi.json