Pricing

$2.00 / 1,000 stores

Go to Store

Uber Eats Scraper

Try for free

Developed by

James

An actor designed to scrape Uber Eats APIs to help you quickly retrieve restaurant data including store names, ratings, and detailed menu items (with price and description). Use this tool to gain insights into local eateries, conduct competitive research, or power your own food discovery application

0.0 (0)

Pricing

$2.00 / 1,000 stores

Monthly users

Runs succeeded

97%

Last modified

2 months ago

Automation

Developer tools

Other

You can access the Uber Eats Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=james.logantech/uber-eats-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Uber Eats Scraper via Model Context Protocol (MCP) server

MCP server lets you use Uber Eats Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Uber Eats Scraper Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "address": "45 Victor Street, Chatswood, NSW 2067",
8      "query": "German",
9      "maxStores": 80
10},
11    "name": "james.logantech/uber-eats-scraper"
12  }
13}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Uber Eats Scraper

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "james.logantech/uber-eats-scraper"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Pricing

Pricing model

Pay per result

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$2.00

Uber Eats Scraper

natanielsantos/uber-eats-scraper

This no-code tool allows you to scrape data from Uber Eats restaurants, like name, categories, location, menu items, and more.

Nataniel Santos

Uber Eats Store Search Scraper 🍽️

easyapi/uber-eats-store-search-scraper

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. 🍽️🔍

EasyApi

🍴Uber Eats Scraper [PPR]

borderline/uber-eats-scraper-ppr

Pay per result - Fast and cost-effective Uber Eats Scraper requiring just a search query and location. Instantly retrieve comprehensive restaurant data, including names, phone, ratings, locations, and menus. Seamlessly integrates, offering a highly efficient data solution.

borderline

🍴Uber Eats Scraper [RENTAL]

borderline/ubereats-scraper

Rental - Fast and cost-effective Uber Eats Scraper requiring just a search query and location. Instantly retrieve comprehensive restaurant data, including names, ratings, locations, reviews and menus. Seamlessly integrates with tools like Google Sheets, and more, offering a highly efficient solution

borderline

Grubhub Restaurant Scraper 🍽️

easyapi/grubhub-restaurant-scraper

Scrape restaurant data from Grubhub including menus, prices, ratings, and delivery information. Extract detailed business information and menu items for market research, price monitoring, or competitor analysis.

EasyApi

Wolt Restaurants Scraper 🥡

lucen_data/wolt-restaurants-scraper

Extract data from restaurants on the Wolt food delivery platform using this simple to use Wolt API. Simply choose a city to obtain information such as restaurant names, addresses, zip codes, phone numbers, ratings and more. Download scraped data in various formats including JSON, CSV and Excel.

Lucen

Google Places Menu Scraper

rajahaikal2234/google-places-menu-scraper

Scrape Google's Businesses Menu

Raja Haikal

Glovo Scraper

antonionduarte/glovo-scraper

A Glovo scraper that extracts comprehensive restaurant data and category listings. Designed for seamless automation with retry mechanisms, rate limiting, and structured JSON outputs. Ideal for market analysis, competitive research, and operational optimization.