# Deliveroo Scraper — Restaurants & Menu Prices (`bakos_bence/deliveroo`) Actor

Scrape Deliveroo restaurants and optional full menus with item prices across major markets. Neighborhood queries, location URLs, or direct menu URLs. Public business contact when shown.

- **URL**: https://apify.com/bakos\_bence/deliveroo.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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 Deliveroo Scraper do?

**Scrape Deliveroo restaurants** (and optionally **full menus with item prices**) across major Deliveroo markets. Use neighborhood queries, location URLs, or direct restaurant menu URLs. Business restaurant / menu facts only.

**Unofficial.** This Actor is **not affiliated with, endorsed by, or maintained by Deliveroo** or Roofoods Ltd. It reads **public** restaurant listings and 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.

**Compare with Just Eat:** pair with [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) + [Just Eat Restaurant Menu Scraper](https://apify.com/bakos_bence/justeat-menus) for multi-platform UK/EU takeaway research.

#### Why use this Deliveroo scraper?

- 🛵 Listings by `queries` (`city/neighborhood`), `location` / `locationUrl` / `address`
- 📋 Optional `scrapeMenu` for item-level prices
- 🔗 Direct `restaurantUrls` always include full menu
- 🌍 `domain` market key (default `co.uk`)
- 🔑 Input names match the leading Store Actor for easy migration

#### What data can you extract from Deliveroo?

Restaurant identity, public URL, ratings, delivery metadata, and — when menus are enabled — menu items with **prices and currency** as exposed publicly.

#### Use cases

- UK / EU food-delivery market research
- Restaurant coverage by neighborhood
- Menu price monitoring for selected venues

#### How to scrape Deliveroo

1. Open this Actor in [Apify Console](https://console.apify.com/).
2. Click **Start** on the prefilled `london/soho` query (`maxResults` 5, menus off).
3. Or paste `restaurantUrls` for a specific venue (always includes the full menu).
4. Set `domain` if not `co.uk`. Toggle `scrapeMenu` only when a location run needs items.
5. Export the dataset.

```json
{
  "queries": ["london/soho"],
  "domain": "co.uk",
  "maxResults": 5,
  "scrapeMenu": false,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

#### How much does it cost?

**PPE:** Actor start + each restaurant **result**. Around **$4.49 / 1,000** on Free (see Pricing tab for tiers). Platform usage is included. Default run is 5 restaurants, menus off.

#### Input

| Input | Notes |
|-------|--------|
| `restaurantUrls` | Direct menu URLs — always includes full menu (leave empty for location discovery) |
| `queries` | `city/neighborhood` e.g. `london/soho` |
| `domain` | Market TLD key, default `co.uk` |
| `maxResults` | Cap per query (prefill **5**) |
| `location` / `locationUrl` / `address` | Alternate location inputs |
| `scrapeMenu` | Also fetch menus for location runs (off by default) |
| `proxyConfiguration` | Recommended for scale |

#### Sample output

```json
{
  "id": "12345",
  "name": "Example Kitchen",
  "uname": "example-kitchen-soho",
  "url": "https://deliveroo.co.uk/menu/London/soho/example-kitchen-soho",
  "rating": 4.6,
  "ratingCount": "(890)",
  "deliveryTimeMinutes": 25,
  "currencyCode": "GBP",
  "menuItemCount": 0,
  "address": {
    "address1": "1 Example Street",
    "city": "London",
    "neighborhood": "Soho",
    "postCode": "W1D 1AA"
  }
}
```

#### FAQ

##### Listings only or menus too?

Both. Location/query runs return restaurants; set `scrapeMenu` or pass `restaurantUrls` for menus.

##### Personal data?

Business restaurant / menu facts only. Optional public venue phone/email when shown on the page — never diner identities.

##### Just Eat vs Deliveroo in one city?

Run [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) on an area URL, then this Actor on matching neighborhoods (`queries`). Add [Just Eat Restaurant Menu Scraper](https://apify.com/bakos_bence/justeat-menus) when you need Just Eat item-level prices (Deliveroo: enable `scrapeMenu` here). Each Actor bills separately.

##### Legal?

Public restaurant and menu facts. This Actor is unofficial and not affiliated with Deliveroo.

##### Need help?

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

#### Related Actors

| Actor | Use together when… |
|-------|-------------------|
| [Just Eat Restaurant Scraper](https://apify.com/bakos_bence/justeat-restaurants) | You compare **restaurant coverage** on Just Eat vs Deliveroo |
| [Just Eat Restaurant Menu Scraper](https://apify.com/bakos_bence/justeat-menus) | You need **Just Eat menu item prices** to match Deliveroo menu rows |
| [Deliveroo Scraper](https://apify.com/bakos_bence/deliveroo) | *(this Actor)* — listings + optional menus |

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/deliveroo`

**Minimal input:**

```json
{
  "queries": ["london/soho"],
  "domain": "co.uk",
  "maxResults": 5,
  "scrapeMenu": false
}
```

#### 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

deliveroo scraper, scrape deliveroo, deliveroo restaurant scraper, deliveroo menu scraper, uk food delivery data, deliveroo api alternative, takeaway menu prices deliveroo

# Actor input Schema

## `restaurantUrls` (type: `array`):

Paste specific restaurant menu URLs to scrape those venues only. When set, queries/address/location are ignored.

## `queries` (type: `array`):

Enter city/neighborhood slugs (london/soho, paris/le-marais). Ignored when restaurant URLs are set.

## `domain` (type: `string`):

Pick the Deliveroo country market.

## `maxResults` (type: `integer`):

Cap restaurants per location query. Prefill 5. An explicit URL list is always scraped in full.

## `location` (type: `object`):

For address-based markets, paste {"lat": …, "lng": …}. Ignored when restaurant URLs are set.

## `locationUrl` (type: `string`):

Paste a Google Maps URL to take coordinates from. Ignored when restaurant URLs are set.

## `address` (type: `string`):

Enter a place name (Dubai Mall, JBR Beach) to resolve coordinates. Ignored when restaurant URLs are set.

## `scrapeMenu` (type: `boolean`):

Turn on to fetch full menus on location-based runs (items, prices, dietary tags).

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

Enable Apify Proxy for reliable runs.

## Actor input object example

```json
{
  "restaurantUrls": [],
  "queries": [
    "london/soho"
  ],
  "domain": "co.uk",
  "maxResults": 5,
  "scrapeMenu": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "queries": [
        "london/soho"
    ],
    "domain": "co.uk",
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/deliveroo").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 = {
    "queries": ["london/soho"],
    "domain": "co.uk",
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/deliveroo").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 '{
  "queries": [
    "london/soho"
  ],
  "domain": "co.uk",
  "maxResults": 5
}' |
apify call bakos_bence/deliveroo --silent --output-dataset

```

## MCP server setup

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

```

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/HmVpyg9YzsEIY5huw/builds/1byuJUP0evCe8H6NC/openapi.json