Pricing

$35.00/month + usage

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🍴Uber Eats Scraper [RENTAL]

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Developed by

borderline

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

Total users

Monthly users

Runs succeeded

>99%

Last modified

3 months ago

Lead generation

E-commerce

Automation

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "query": "Pizza",
12    "address": "1600 Pennsylvania Avenue, Washington DC",
13    "locale": "en-US",
14    "maxRows": 0,
15    "proxy": {
16        "useApifyProxy": true,
17        "apifyProxyGroups": [
18            "RESIDENTIAL"
19        ]
20    }
21};
22
23// Run the Actor and wait for it to finish
24const run = await client.actor("borderline/ubereats-scraper").call(input);
25
26// Fetch and print Actor results from the run's dataset (if any)
27console.log('Results from dataset');
28console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
29const { items } = await client.dataset(run.defaultDatasetId).listItems();
30items.forEach((item) => {
31    console.dir(item);
32});
33
34// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

🍴Uber Eats Scraper [RENTAL] API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use 🍴Uber Eats Scraper [RENTAL] API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

🍴Uber Eats Scraper [RENTAL] API in Python

🍴Uber Eats Scraper [RENTAL] API through CLI

🍴Uber Eats Scraper [RENTAL] OpenAPI definition

🍴Uber Eats Scraper [RENTAL] API

🍴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

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 Email Scraper

scraper-mind/uber-eats-email-scraper

Extract verified Uber Eats emails fast with this powerful Uber Eats Email Scraper! Use keywords, locations & custom domains to target restaurant listings. Perfect for lead gen, outreach, CRM enrichment, and more. Supports proxies & exports in CSV, JSON, Excel.

Scraper Mind

Uber Eats Scraper

james.logantech/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

James

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

5.0

UberEats Menu Scraper – Full Product, Price & Modifier

crscrapers/ubereats-menu-scraper---v2

Extract full UberEats menus with one URL. Get restaurant name, images, categories, products, prices, descriptions, modifiers, and customization options. Perfect for restaurant owners tracking competitors and optimizing their own pricing and menus.

CMQ

Just Eat Restaurant Scraper 🍽️

easyapi/just-eat-restaurant-scraper

🍽️ Powerful Just Eat restaurant scraper that extracts comprehensive data including restaurant details, ratings, delivery info, and deals. Perfect for market research, food delivery analysis, and competitor monitoring. Supports custom search URLs and proxy configuration.

EasyApi

5.0

Restaurant Review Aggregator

tri_angle/restaurant-review-aggregator

Add restaurant names and get reviews from Yelp, Google Maps, Doordash, UberEats, Tripadvisor, and Facebook. Extract review text, place address, rating, date, reviewer's name. Export reviews in JSON, CSV, HTML, use API, schedule and monitor runs or integrate reviews data with other tools.