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🍴Uber Eats Scraper [RENTAL]
Pricing
$35.00/month + usage
🍴Uber Eats Scraper [RENTAL]
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
5.0 (2)
Pricing
$35.00/month + usage
5
Monthly users
16
Runs succeeded
>99%
Response time
5.7 hours
Last modified
12 days ago
You can access the 🍴Uber Eats Scraper [RENTAL] 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=borderline/ubereats-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🍴Uber Eats Scraper [RENTAL] via Model Context Protocol (MCP) server
MCP server lets you use 🍴Uber Eats Scraper [RENTAL] 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 [RENTAL] 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 "query": "Pizza",
8 "address": "1600 Pennsylvania Avenue, Washington DC",
9 "locale": "en-US",
10 "proxy": {
11 "useApifyProxy": true,
12 "apifyProxyGroups": [
13 "RESIDENTIAL"
14 ]
15 }
16},
17 "name": "borderline/ubereats-scraper"
18 }
19}'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 [RENTAL]
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 "borderline/ubereats-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
RentalTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
3 days
Price
$35.00
