Uber Eats Scraper
Pricing
$2.00 / 1,000 stores
Uber Eats Scraper
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
1
Total users
18
Monthly users
6
Runs succeeded
>99%
Last modified
3 months ago
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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=james.logantech/uber-eats-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 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.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "address": "45 Victor Street, Chatswood, NSW 2067",$ "query": "German",$ "maxStores": 80$},$ "name": "james.logantech/uber-eats-scraper"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}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:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "james.logantech/uber-eats-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}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.
![🍴Uber Eats Scraper [PPR] avatar](https://images.apifyusercontent.com/VyczuTihxTYqu82dr0B6HepFaoDhEkqNx7bRIXZtSIc/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnJRZVVKUGJlSkxWVnNYUEgvNEluWnUzcDBTdDc3cmoxTngtc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp){kind=avatar}
![🍴Uber Eats Scraper [RENTAL] avatar](https://images.apifyusercontent.com/AnHIbGDJ5Ya-4CsbSPfUUfEVbdI4cIshpjF6-Hkjp0k/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vcllIYnJnTGpTQjUzRXEzUTkvc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp){kind=avatar}
