# Uber Eats Scraper | With Menu & Numbers | $3 / 1k (`fatihtahta/uber-eats-menu-scraper`) Actor

Scrape restaurants and groceries from Uber Eats including phone numbers, menu, location, cuisines, and more. export-ready for price and menu tracking, market research, competitor analysis, and lead generation. $3 per 1000 listings.

- **URL**: https://apify.com/fatihtahta/uber-eats-menu-scraper.md
- **Developed by:** [Fatih Tahta](https://apify.com/fatihtahta) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 31 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.99 / 1,000 outputrecords

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Uber Eats Scraper | With Menu & Numbers | $3 / 1k

### Overview

**Uber Eats Scraper | With Menu & Numbers | $3 / 1k** collects public restaurant details and full menu data directly from ubereats.com. Capture profiles, contact info, price ranges, cuisines, opening hours, ratings, and every menu item with descriptions and prices. The actor keeps runs consistent and automated so you can gather reliable datasets without manual browsing.

### Why Use This Actor

- **Market and competitor research:** Benchmark restaurants, cuisines, and price points in any location.
- **Lead generation and outreach:** Build enriched lists of restaurants with contact details and coordinates.
- **Menu and product tracking:** Monitor menu changes, pricing, and availability across time.
- **Directory building:** Populate apps or internal tools with structured restaurant and menu inventories.
- **Workflow-ready automation:** Schedule recurring runs, export results, and keep datasets fresh with minimal effort.

### Input Parameters

| Parameter | Type | Description | Default |
| --- | --- | --- | --- |
| `startUrls` | array of strings | One or more Uber Eats search pages, restaurant profiles, or direct menu URLs to scrape. | Prefilled example provided |
| `limit` | integer | Stop the run after this number of restaurants or menu items has been saved in total. Minimum 10. | `50000` |
| `proxyConfiguration` | object | Proxy settings to keep the scraper reliable. Supports Apify Proxy or custom proxies. | Apify Proxy with `RESIDENTIAL` group |

### Example Input

```json
{
  "startUrls": [
    "https://www.ubereats.com/search?ps=1&q=burger&sc=SEARCH_BAR&vertical=ALL"
  ],
  "limit": 1000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Example Output

Each dataset item represents one restaurant with its metadata and complete menu.

```json
{
  "id": "/REDACTED",
  "url": "https://www.ubereats.com/store/REDACTED",
  "title": "REDACTED",
  "priceRange": "$",
  "cuisines": ["Breakfast and Brunch", "Bagels", "Sandwiches", "Kosher"],
  "location": "REDACTED",
  "telephone": "+REDACTED",
  "geo": { "lat": 40.73232, "lng": -73.98208 },
  "images": ["https://tb-static.uber.com/prod/image-proc/processed_images/a383b7d0ba1babc8d708ac0b68c8300b/fa23f51b9c499b035a68831c96e1821e.jpeg"],
  "ratingValue": 2.5,
  "reviewCount": "18",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"],
      "opens": "5:0",
      "closes": "17:0"
    }
  ],
  "menuItems": [
    {
      "title": "BOGO *SPECIAL* Bagel with Butter",
      "description": "Warm, golden bread with a crisp exterior and soft center, enriched by the simple richness of creamy butter.",
      "price": "8.87",
      "currency": "USD",
      "section": "Get Two For The Price of One"
    },
    {
      "title": "Bagel with Plain Cream Cheese",
      "description": "Smooth, velvety spread layered generously over a fresh-baked base creates a perfect balance of tangy and rich.",
      "price": "6.40",
      "currency": "USD",
      "section": "Bagel with a Schmear"
    }
  ]
}
```

- `id`, `url`, `title` — Restaurant identifier, link, and display name.
- `priceRange`, `cuisines`, `ratingValue`, `reviewCount` — Positioning and social proof details.
- `location`, `telephone`, `geo`, `images` — Contact, coordinates, and imagery for mapping or outreach.
- `openingHoursSpecification` — Daily opening and closing times.
- `menuItems` — Each menu entry with section, description, price, and currency.

### Notes & Limitations

- Use the actor responsibly and only for lawful purposes. Review and respect Uber Eats’ terms of service and applicable policies before scraping or using the data.
- Start with smaller limits when testing new locations or URLs to validate the scope you need.

### Support

Questions or custom needs? Open an issue on the **Issues** tab of the actor page in Apify Console and it will be resolved around the clock.

Happy Scraping,

- Fatih

# Actor input Schema

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

Paste one or more Uber Eats search pages, restaurant profiles, or direct menu URLs to scrape.

## `limit` (type: `integer`):

Stop the run after this number of restaurants or menu items has been saved in total.

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

Use Apify proxy or your own proxy settings to keep the scraper reliable.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL",
    "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName="
  ],
  "limit": 50000,
  "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.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL",
        "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName="
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fatihtahta/uber-eats-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.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL",
        "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName=",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("fatihtahta/uber-eats-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 '{
  "startUrls": [
    "https://www.ubereats.com/search?diningMode=PICKUP&eventSource=textV2&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMk1hbmhhdHRhbiUyMEJyaWRnZSUyMiUyQyUyMnJlZmVyZW5jZSUyMiUzQSUyMkNoSUpTMUYxT3k1YXdva1J6NThCZXROSzVYcyUyMiUyQyUyMnJlZmVyZW5jZVR5cGUlMjIlM0ElMjJnb29nbGVfcGxhY2VzJTIyJTJDJTIybGF0aXR1ZGUlMjIlM0E0MC43MDc0OTU5JTJDJTIybG9uZ2l0dWRlJTIyJTNBLTczLjk5MDc3NDE5OTk5OTk5JTdE&q=Kosher%20Soup&sc=SEARCH_SUGGESTION&searchEntered=Kosher&searchType=GLOBAL_SEARCH&sf=JTVCJTdCJTIydXVpZCUyMiUzQSUyMjJjN2NmN2VmLTczMGYtNDMxZi05MDcyLTQ2YmMzOWY3YzAyMSUyMiUyQyUyMm9wdGlvbnMlMjIlM0ElNUIlN0IlMjJ1dWlkJTIyJTNBJTIyMmM3Y2Y3ZWYtNzMwZi00MzFmLTkwNzItMjZiYzM5ZjdjMDM1JTIyJTdEJTVEJTdEJTVE&vertical=ALL",
    "https://www.ubereats.com/store/bravo-kosher-pizza-garment-district/Ta5LmR9uQoeYAJcyCnObkw?diningMode=DELIVERY&surfaceName="
  ]
}' |
apify call fatihtahta/uber-eats-menu-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fatihtahta/uber-eats-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/wUDs9OHfeBagMTOC2/builds/FeBUgFNzDA5N4Tv9J/openapi.json