Pricing

from $6.00 / 1,000 restaurant details

Uber Eats Restaurant Scraper

Scrape Uber Eats restaurants and menus by city, search, or store URL. Extract restaurant name, rating, cuisine, address, delivery fee, menu items, prices, and reviews as clean JSON. Pay per result.

Pricing

from $6.00 / 1,000 restaurant details

Rating

0.0

(0)

Developer

Data Forge

Actor stats

Bookmarked

Total users

Monthly active users

7 hours ago

Last modified

Categories

Developer tools

E-commerce

Automation

You can access the Uber Eats Restaurant 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

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    "storeUrls": [],
12    "city": "new-york",
13    "searchQuery": "pizza",
14    "maxResults": 20
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("jdtpnjtp/uber-eats-restaurant-scraper").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Uber Eats Restaurant Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Uber Eats Restaurant Scraper 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 Restaurant Scraper API in Python

Uber Eats Restaurant Scraper API through CLI

Uber Eats Restaurant Scraper OpenAPI definition

Uber Eats Restaurant Scraper API

Uber Eats Restaurant Scraper — Emails, Phones, SIRET by City

corent1robert/uber-eats-pro-scraper

Turn Uber Eats into CRM-ready restaurant leads — phones, company IDs, addresses, and emails when Uber Eats publishes them. Search by city, territory, or paste store URLs. Built for food suppliers, outbound sales teams, and market research. No login or API key. 31 countries.

Corentin Robert

Uber Eats Restaurant Scraper

alizarin_refrigerator-owner/ubereats-scraper

Extract Restaurant Data from Uber Eats for Market Research. Scrape Uber Eats for restaurant listings, menus, prices, ratings & delivery info. Perfect for food delivery market research, competitor analysis & restaurant discovery. Restaurant Search Menu Extraction Ratings & Reviews Delivery Info

The Howlers

1.0

(1)

Uber Eats Restaurant Scraper

yasmany.casanova/uber-eats-restaurant-scraper

Scrape Uber Eats restaurant data at scale. Get menus with prices, ratings, delivery fees, and store details. Search hundreds of restaurants by location with full pagination. Perfect for market research, price monitoring, and competitor analysis.

Yasmany Grijalba Casanova

UberEats Restaurant Data Scraper

freecamp008/ubereats-restaurant-data-scraper

Extract comprehensive restaurant data from UberEats including menus, prices, ratings, reviews, delivery information, and more. Perfect for food delivery aggregation, market research, price comparison, and competitive analysis.

Camp8 fr0

Uber Eats Scraper

gio21/ubereats-scraper

Scrape Uber Eats restaurants by location. Name, rating, cuisine, delivery fee, ETA, image. Pay per restaurant.

Gio

Ubereats Stores Discovery By Brand URL

datacach/ubereats-stores-discovery-by-brand-url

Easily extract all Uber Eats store URLs for any brand (McDonald's, Starbucks, Subway, etc.) at scale. This tool converts a list of brand profile links into a JSON feed with direct URLs for each restaurant. Ideal for local analysis, research, and franchise mapping.

DataCach

Airbnb Experiences Scraper 🎯

easyapi/airbnb-experiences-scraper

🌟 Extract detailed Airbnb Experiences data including titles, prices, ratings, locations, and media content. Perfect for market research, travel analysis, and price monitoring. Supports multiple search URLs and customizable data limits.

EasyApi

5.0

(1)

🍴 Uber Eats Scraper

api-empire/uber-eats-scrape

🍴 Uber Eats Scraper extracts restaurant menus, pricing & offers from Uber Eats. 🚀 Automate data collection for market research, lead gen & competitive analysis—fast, reliable & built for performance. 📈

API Empire

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

219

Uber Eats Scraper - Menus, Prices, Reviews

sourabhbgp/ubereats-scraper

Scrape Uber Eats restaurants worldwide — full menus with prices in cents, reviews, hours, ratings, and chain IDs in a single HTTP request. 10 countries supported. $2 per 1,000 results, no per-run fee.

Sourabh Kumar

Uber Eats Email Scraper

simpleapi/uber-eats-email-scraper

Uber Eats Email Scraper collects restaurant email data to support market research and outreach. Filter by location or category to analyze food delivery markets and connect with relevant businesses at scale.