# Uber Eats Store Search Scraper 🍽️ (`easyapi/uber-eats-store-search-scraper`) Actor

Extract detailed restaurant data from Uber Eats search results. Get comprehensive information about stores including ratings, status, location, and images. Perfect for market research, competitor analysis, and food delivery insights. 🍽️🔍

- **URL**: https://apify.com/easyapi/uber-eats-store-search-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Lead generation, Integrations, Other
- **Stats:** 53 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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?

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 Store Search Scraper 🍽️

Scrape detailed information about restaurants and stores from Uber Eats search results. Perfect for market research, competitor analysis, and tracking food delivery trends! 🔍

### Features ✨

- Extract comprehensive store data from Uber Eats search results
- Support multiple search URLs for batch processing
- Collect detailed store information including:
  - Store name and unique ID
  - Operating status and availability
  - Ratings and review counts
  - Precise location (latitude/longitude)
  - High-quality store images in multiple resolutions
  - Store URLs and ordering status
  - Favorite status and orderability

### Use Cases 💡

- Market research and competitive analysis
- Track restaurant availability and ratings
- Monitor food delivery market trends
- Analyze restaurant distribution in specific areas
- Build restaurant databases with rich metadata

### Output Data Structure 📊

The actor provides detailed JSON output for each store, including:

- Basic store information (ID, name, URL)
- Current status and availability
- Rating metrics (score, review count, raw score)
- Precise geolocation data
- Multiple resolution store images
- Store accessibility information

### Input Parameters 🎯

- `searchUrls`: Array of Uber Eats search result URLs to scrape
- `maxItems`: Maximum number of items to scrape
- `proxyConfiguration`: Optional proxy settings for enhanced reliability

### Tips 💪

- Use location-specific search URLs for targeted results
- Adjust maxItems based on your needs
- Consider using proxies for better reliability
- Search URLs can be obtained by performing searches on Uber Eats website

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "searchUrls": [
        "https://www.ubereats.com/search?eventSource=topCategory&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMkFkb2xmbyUyMFN1JUMzJUExcmV6JTIwTWFkcmlkJUUyJTgwJTkzQmFyYWphcyUyMEFpcnBvcnQlMjIlMkMlMjJyZWZlcmVuY2UlMjIlM0ElMjJDaElKQVFBQUFOQXhRZzBSNzg2RkQtb2xkMjQlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyZ29vZ2xlX3BsYWNlcyUyMiUyQyUyMmxhdGl0dWRlJTIyJTNBNDAuNDg5NTE0NyUyQyUyMmxvbmdpdHVkZSUyMiUzQS0zLjU2NDI3NjQlN0Q%3D&q=Pizza&sc=SEARCH_SUGGESTION&searchType=GLOBAL_SEARCH&vertical=ALL"
    ],
    "maxItems": 60
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "searchUrl": "https://www.ubereats.com/search?eventSource=topCategory&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMkFkb2xmbyUyMFN1JUMzJUExcmV6JTIwTWFkcmlkJUUyJTgwJTkzQmFyYWphcyUyMEFpcnBvcnQlMjIlMkMlMjJyZWZlcmVuY2UlMjIlM0ElMjJDaElKQVFBQUFOQXhRZzBSNzg2RkQtb2xkMjQlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyZ29vZ2xlX3BsYWNlcyUyMiUyQyUyMmxhdGl0dWRlJTIyJTNBNDAuNDg5NTE0NyUyQyUyMmxvbmdpdHVkZSUyMiUzQS0zLjU2NDI3NjQlN0Q%3D&q=Pizza&sc=SEARCH_SUGGESTION&searchType=GLOBAL_SEARCH&vertical=ALL",
        "storeId": "c82326c7-0d86-572c-87f4-2195dc5aff6c",
        "storeName": "Pizza Wallet",
        "status": {
            "isOpen": true,
            "statusText": "40 min"
        },
        "rating": {
            "score": "3.6",
            "reviewCount": "19",
            "rawScore": 3.5714285714285716
        },
        "location": {
            "latitude": 40.4409,
            "longitude": -3.6754
        },
        "images": [
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/30be7d11a3ed6f6183354d1933fbb6c7.jpeg",
                "width": 2880,
                "height": 2304
            },
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/cc592037c936600295e9961933037e19.jpeg",
                "width": 1080,
                "height": 864
            },
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/d9be3fc772fc6c0fd6b3471e291aa823.jpeg",
                "width": 750,
                "height": 600
            },
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/0c09274e3b12c8246a05970e1ef9d835.jpeg",
                "width": 640,
                "height": 512
            },
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/7835428b286acb57646a256c897c0e9e.jpeg",
                "width": 550,
                "height": 440
            },
            {
                "url": "https://tb-static.uber.com/prod/image-proc/processed_images/64525afeea85e5f56b777037d9d2cac1/fa23f51b9c499b035a68831c96e1821e.jpeg",
                "width": 240,
                "height": 192
            }
        ],
        "storeUrl": "https://www.ubereats.com/store/pizza-wallet/yCMmxw2GVyyH9CGV3Fr_bA",
        "isFavorite": false,
        "isOrderable": true,
        "availabilityState": "NOT_ACCEPTING_ORDERS"
    },
    ...
]
```

### Related Actors

- 🍽️ [Grubhub Restaurant Scraper](https://apify.com/easyapi/grubhub-restaurant-scraper) - Extract restaurant data including menus, prices, ratings, and delivery information
- 🍽️ [Grubhub Restaurant Reviews Scraper](https://apify.com/easyapi/grubhub-restaurant-reviews-scraper) - Get comprehensive customer reviews, ratings, and order details from Grubhub restaurants
- 🍽️ [Zomato Restaurant Reviews Scraper](https://apify.com/easyapi/zomato-restaurant-reviews-scraper) - Scrape restaurant reviews with ratings, review text and user information
- 🛍️ [Myntra Product Scraper](https://apify.com/easyapi/myntra-product-scraper) - Extract detailed product information from search results with prices and discounts
- 🛍️ [Jumia Product Scraper](https://apify.com/easyapi/jumia-product-scraper) - Scrape product listings with prices, ratings and seller details
- 🛍️ [Flipkart Product Scraper](https://apify.com/easyapi/flipkart-product-scraper) - Extract product data from search results with comprehensive information
- 🔍 [Keyword Suggestions Scraper](https://apify.com/easyapi/keyword-suggestions-scraper) - Get keyword suggestions from multiple search engines and e-commerce platforms
- 🛍️ [Noon.com Reviews Scraper](https://apify.com/easyapi/noon-com-reviews-scraper) - Extract detailed customer feedback and ratings
- 🛍️ [Meesho Product Search Scraper](https://apify.com/easyapi/meesho-product-search-scraper) - Scrape product listings from search results with detailed information
- 🛍️ [Costco Product Search Scraper](https://apify.com/easyapi/costco-product-search-scraper) - Extract product data with prices, descriptions and ratings
- 🛍️ [Sam's Club Product Scraper](https://apify.com/easyapi/sam-s-club-product-scraper) - Get detailed product data including prices and inventory information
- 🛍️ [Lidl Product Scraper](https://apify.com/easyapi/lidl-product-scraper) - Scrape product data with prices, images and stock information
- 🔍 [Keyword Discovery Tool](https://apify.com/easyapi/keyword-discovery-tool) - Find related keywords and search insights for content optimization
- 🛍️ [Tokopedia Product Scraper](https://apify.com/easyapi/tokopedia-product-scraper) - Extract product data from search results with prices and shop details
- 🛍️ [Woolworths Product Scraper](https://apify.com/easyapi/woolworths-product-scraper) - Get comprehensive product information including prices and details

# Actor input Schema

## `searchUrls` (type: `array`):

List of Uber Eats search result URLs to scrape

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

Maximum number of stores to scrape

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

Proxy settings

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.ubereats.com/search?eventSource=topCategory&pl=JTdCJTIyYWRkcmVzcyUyMiUzQSUyMkFkb2xmbyUyMFN1JUMzJUExcmV6JTIwTWFkcmlkJUUyJTgwJTkzQmFyYWphcyUyMEFpcnBvcnQlMjIlMkMlMjJyZWZlcmVuY2UlMjIlM0ElMjJDaElKQVFBQUFOQXhRZzBSNzg2RkQtb2xkMjQlMjIlMkMlMjJyZWZlcmVuY2VUeXBlJTIyJTNBJTIyZ29vZ2xlX3BsYWNlcyUyMiUyQyUyMmxhdGl0dWRlJTIyJTNBNDAuNDg5NTE0NyUyQyUyMmxvbmdpdHVkZSUyMiUzQS0zLjU2NDI3NjQlN0Q%3D&q=Pizza&sc=SEARCH_SUGGESTION&searchType=GLOBAL_SEARCH&vertical=ALL"
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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("easyapi/uber-eats-store-search-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("easyapi/uber-eats-store-search-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 easyapi/uber-eats-store-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/uber-eats-store-search-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/qVF4s54jNsqeG7pYd/builds/WliMnheDHQzoQy8O2/openapi.json