# Uber Eats Scraper — Menus, Item Prices & Ratings | API (`bovi/ubereats-menu`) Actor

Scrape any **Uber Eats** restaurant menu into FLAT rows — one row per item with **price at the top level**, plus store rating, cuisine, address & phone on every row. No nested digging, no browser. Reliable residential-proxy access. Priced per menu — well below per-menu incumbents.

- **URL**: https://apify.com/bovi/ubereats-menu.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $96.03 / 1,000 menu scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## Uber Eats Menu Scraper 🍔

Turn any **Uber Eats** restaurant page into a clean, **flat** menu table — one
row per item with the **price right at the top level**. No nested JSON to dig
through, no browser, no manual copy-paste.

### What you get (one row per menu item)

| field | description |
|---|---|
| `restaurant_name` | Store / restaurant name |
| `section` | Menu section breadcrumb (e.g. `Breakfast > Featured items`) |
| `item_name` | Menu item name |
| `price_usd` | **Item price, top-level number** (no nested `offers.price`) |
| `price_currency` | Currency code (e.g. `USD`) |
| `description` | Item description |
| `image_url` | Item photo |
| `rating` / `num_ratings` | Store rating + review count (repeated on every row) |
| `cuisine` | Cuisine tags |
| `price_range` | Store price range (e.g. `$$`) |
| `phone`, `address`, `city`, `state`, `zip`, `country` | Store location & contact |
| `store_url`, `source_url` | Links |
| `parse_confidence`, `warnings` | Structural-drift signal — you never pay for a broken parse |
| `scraped_at` | UTC timestamp |

### How to use

1. Open a restaurant on [ubereats.com](https://www.ubereats.com) and copy the
   page URL (`https://www.ubereats.com/store/{name}/{id}`).
2. Paste one or more URLs into **Store URLs**.
3. Run. You get a flat table of every menu item with its price.

### Input

- **Store URLs** — list of Uber Eats `/store/` URLs.
- **Max Menus** — cap on number of menus (0 = unlimited).
- **Delay between requests** — politeness delay (default 1.5s).
- **Proxy** — Apify **RESIDENTIAL** by default (recommended for reliable access).

### Pricing & reliability

- Billed **per menu** (one charge per restaurant successfully scraped), no
  matter how many items the menu has — far cheaper than tools that meter the
  same per-menu unit at a premium.
- **You never pay for a failed parse**: if the menu structure drifts, rows are
  returned with a low `parse_confidence` and the menu is **not charged**.
- Reliable access via residential proxy; runs entirely on the Apify platform.

<!-- seo-crosslinks:v1 START -->

### More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

- [Vinted Marketplace](https://apify.com/bovi/vinted-marketplace)
- [Allegro Offers](https://apify.com/bovi/allegro-offers)
- [Amazon Products Scraper](https://apify.com/bovi/amazon-products-scraper)
- [Autoscout24 Cars Scraper](https://apify.com/bovi/autoscout24-cars-scraper)
- [Competitor Price Monitor](https://apify.com/bovi/competitor-price-monitor)
- [Craigslist Scraper](https://apify.com/bovi/craigslist-scraper)

Chain any of them together from the **Integrations** tab (the *Run succeeded* trigger) to build a multi-step workflow — one actor's output feeds the next.

<!-- seo-crosslinks:v1 END -->

<!-- distribution-doors:v1 START -->

### Use it from your existing tools

#### Use with Claude Desktop / Cursor / Cline (MCP)

Load this actor as a tool in your AI assistant. Call it directly from your AI assistant via the Apify MCP server — no Store browsing needed. Paste this into your MCP client config (e.g. `claude_desktop_config.json`) and restart the client:

```json
{
  "mcpServers": {
    "apify-ubereats-menu": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "bovi/ubereats-menu"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}
````

Replace `YOUR_APIFY_TOKEN` with your own Apify API token (free at apify.com → Settings → Integrations). Curated to a handful of tools so the agent selects reliably.

#### Works with Clay

Run this actor as an HTTP enrichment step inside a Clay table:

- **Method:** `POST`
- **URL:** `https://api.apify.com/v2/acts/bovi~ubereats-menu/run-sync-get-dataset-items?token={{apify_token}}`
- **Body (JSON):** map your Clay columns to the actor input (see the Input section above), e.g. `{"storeUrls": "{{clay_column}}"}`

The run finishes synchronously and returns the dataset rows straight into your Clay table. It runs on Apify's cloud under your own token and usage. Synchronous runs must complete within 300 seconds.

# Actor input Schema

## `storeUrls` (type: `array`):

List of Uber Eats restaurant/store URLs to scrape. Each must be in the format https://www.ubereats.com/store/{slug}/{storeId}. Open a restaurant on ubereats.com and copy the URL. Example: \['https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ']. Returns one flat row per menu item with the price at the top level.

## `maxMenus` (type: `integer`):

Hard cap on how many store menus to scrape across all URLs. 0 = unlimited. Each successfully scraped menu is exactly one charge, regardless of how many items it contains.

## `requestDelay` (type: `number`):

Seconds to wait between fetching consecutive store URLs. Default 1.5s is polite and reduces rate-limiting. Increase for large batches.

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

Proxy settings. Default: Apify RESIDENTIAL proxy (strongly recommended — datacenter IPs are frequently rate-limited by Uber Eats). Buyers pay for proxy usage via Apify platform compute.

## Actor input object example

```json
{
  "storeUrls": [
    "https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ"
  ],
  "maxMenus": 0,
  "requestDelay": 1.5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset of menu-item rows (restaurant\_name, section, item\_name, price\_usd, description, rating, cuisine, city, source\_url, scraped\_at, parse\_confidence).

# 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 = {
    "storeUrls": [
        "https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ"
    ],
    "maxMenus": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/ubereats-menu").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 = {
    "storeUrls": ["https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ"],
    "maxMenus": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/ubereats-menu").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 '{
  "storeUrls": [
    "https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ"
  ],
  "maxMenus": 0
}' |
apify call bovi/ubereats-menu --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Uber Eats Scraper — Menus, Item Prices & Ratings | API",
        "description": "Scrape any **Uber Eats** restaurant menu into FLAT rows — one row per item with **price at the top level**, plus store rating, cuisine, address & phone on every row. No nested digging, no browser. Reliable residential-proxy access. Priced per menu — well below per-menu incumbents.",
        "version": "0.1",
        "x-build-id": "9deBrrn7UTouFcrG9"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/bovi~ubereats-menu/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-bovi-ubereats-menu",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/bovi~ubereats-menu/runs": {
            "post": {
                "operationId": "runs-sync-bovi-ubereats-menu",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/bovi~ubereats-menu/run-sync": {
            "post": {
                "operationId": "run-sync-bovi-ubereats-menu",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "storeUrls": {
                        "title": "Store URLs",
                        "type": "array",
                        "description": "List of Uber Eats restaurant/store URLs to scrape. Each must be in the format https://www.ubereats.com/store/{slug}/{storeId}. Open a restaurant on ubereats.com and copy the URL. Example: ['https://www.ubereats.com/store/zuckers-bagels-fidis/YK9UYIbxTd2Gappp2N4pgQ']. Returns one flat row per menu item with the price at the top level.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxMenus": {
                        "title": "Max Menus (total)",
                        "minimum": 0,
                        "maximum": 100000,
                        "type": "integer",
                        "description": "Hard cap on how many store menus to scrape across all URLs. 0 = unlimited. Each successfully scraped menu is exactly one charge, regardless of how many items it contains.",
                        "default": 0
                    },
                    "requestDelay": {
                        "title": "Delay between requests (seconds)",
                        "minimum": 0,
                        "maximum": 30,
                        "type": "number",
                        "description": "Seconds to wait between fetching consecutive store URLs. Default 1.5s is polite and reduces rate-limiting. Increase for large batches.",
                        "default": 1.5
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings. Default: Apify RESIDENTIAL proxy (strongly recommended — datacenter IPs are frequently rate-limited by Uber Eats). Buyers pay for proxy usage via Apify platform compute.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```