Pricing

Pay per usage

Try for free

Go to Apify Store

🍴Uber Eats Scraper [RENTAL]

Try for free

Rental - Fast and cost-effective Uber Eats Scraper requiring just a search query and location or by url. Instantly retrieve comprehensive restaurant data, including names, ratings, locations, reviews and menus. Seamlessly integrates with tools like n8n, and more, offering a highly efficient solution

Pricing

Pay per usage

Rating

4.7

(5)

Developer

borderline

Actor stats

Bookmarked

311

Total users

Monthly active users

13 days ago

Last modified

Categories

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 API & Integrations 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    "locale": "en-US",
12    "address": "1600 Pennsylvania Avenue, Washington DC",
13    "query": "Pizza",
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 or using stores urls. Instantly retrieve comprehensive restaurant data, including names, phone, ratings, locations, and menus. Seamlessly integrates, offering a highly efficient data solution.

borderline

686

5.0

(3)

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

234

Ubereats Stores Search By Location And Keyword

datacach/ubereats-stores-search-by-location-and-keyword

Experience instant restaurant insights with Uber Eats Discovery by Location and Keyword Scraper. Enter a search and location to get real-time data—no URLs needed. Perfect for quick market research and competitor analysis, all in one efficient, easy-to-use tool.

DataCach

Uber Eats Scraper — Menus, Reviews & Leads

memo23/uber-eats-scraper

Uber Eats scraper for restaurants and menus. Search by city or paste store URLs. One row per store with priced dishes, ratings, reviews, phone, hours, and optional emails plus a lead score. Filter by locale or skip stores you already have. Delivery or pickup. JSON, CSV or Excel.

Muhamed Didovic

296

4.9

(3)

DoorDash Scraper — Menus, Reviews, Stores & Leads

memo23/doordash-reviews-cheerio

Scrape DoorDash at scale: search & browse stores by location, full menus with prices and variants, customer reviews, store & business details, ratings and delivery info. Optional contact-email and POS/tech-stack enrichment for lead generation. Export to JSON, CSV or Excel.

Muhamed Didovic

135

4.9

(8)

DoorDash Scraper - Extract Restaurant & Store Data with Menus

alizarin_refrigerator-owner/doordash-scraper

Scrape comprehensive data from DoorDash including restaurants, stores, menus, pricing, and ratings. Perfect for market research, competitive analysis, and food industry intelligence. Analyze Menu Pricing Research Markets Monitor Competition Build Restaurant Databases Franchise Research

The Howlers

125

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

149

4.4

(2)

UberEats Reviews Scraper

e-commerce/ubereats-reviews-scraper

Extract customer reviews from Uber Eats restaurant pages, including authorName, date, text, and placeInfo (name, rating, numberOfReviews, address). Export data, run via API, schedule and monitor runs, or integrate with other tools.

E Commerce

174

5.0

(5)

DoorDash Reviews Scraper

e-commerce/doordash-reviews-scraper

Extract customer reviews from DoorDash store and restaurant pages, including rating, text, date, user, and placeInfo. Export data, run via API, schedule and monitor runs, or integrate with other tools.

E Commerce

106

5.0

(6)

Uber Eats Full Menu Scraper

solidcode/ubereats-full-menu-scraper

[💰 $2 / 1K] Extract full Uber Eats menus — every item with price, description, photo and add-on options — plus store ratings, reviews, hours, address, cuisines and delivery fees. Scrape by store URL or discover every store around any address.