Pricing

$5.00 / 1,000 restaurants

Try for free

Go to Apify Store

🍴Uber Eats Scraper [PPR]

Try for free

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.

Pricing

$5.00 / 1,000 restaurants

Rating

5.0

(3)

Developer

borderline

Actor stats

Bookmarked

572

Total users

Monthly active users

1.4 days

Issues response

12 days ago

Last modified

Categories

Lead generation

Automation

You can access the 🍴Uber Eats Scraper [PPR] 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    "addressCountry": "US",
14    "query": "Pizza",
15    "maxRows": 100,
16    "getMenuCustomizations": false
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("borderline/uber-eats-scraper-ppr").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

🍴Uber Eats Scraper [PPR] API in JavaScript

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

🍴Uber Eats Scraper [PPR] API through CLI

🍴Uber Eats Scraper [PPR] OpenAPI definition

🍴Uber Eats Scraper [PPR] API

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Ubereats Stores Search By Location And Keyword

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🍴Uber Eats Scraper [RENTAL]

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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

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OpenTable | Meta | Menu | Reviews | Availability | Offers...

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Extract complete OpenTable restaurant intelligence: detailed info, full menus with prices, comprehensive reviews & ratings, real-time availability, VIP offers, loyalty programs, photos, and operational data. Get everything in one scrape for market research and business analysis.

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4.6

DoorDash | Meta | Menu | Reviews | Business | Search ·/w EMAILS

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Extract complete DoorDash restaurant intelligence: full menus, pricing, reviews, ratings, and operational data. Transform restaurant pages into structured JSON perfect for market research, competitive analysis, and business intelligence. Get comprehensive data beyond basic listings.

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🍴 Uber Eats Scraper [PPR]

scraper-engine/uber-eats-scraper

🍴 Uber Eats Scraper [PPR] pulls restaurant and menu data from Uber Eats with precision. 🚀 Great for lead gen, market research, and competitive analysis. ⚡ Fast, reliable, and SEO-ready data—automate insights today!