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from $2.50 / 1,000 results

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Uber Eats Email Scraper - Keyword & Location Targeting

Try for free

🚗 Uber Eats Email Scraper pulls restaurant and merchant emails by keyword and location. 🔓 Custom domain filters, hidden-address decoding and dedup. 📤 Export Uber Eats leads to CSV, JSON or Excel for food tech sales.

Pricing

from $2.50 / 1,000 results

Rating

0.0

(0)

Developer

Scrapido

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Lead generation

Automation

Developer tools

You can access the Uber Eats Email Scraper - Keyword & Location Targeting 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    "keywords": [
12        "restaurant",
13        "catering"
14    ],
15    "customDomains": [],
16    "emailTypes": [
17        "Personal",
18        "Business"
19    ]
20};
21
22// Run the Actor and wait for it to finish
23const run = await client.actor("scrapido/uber-eats-email-scraper").call(input);
24
25// Fetch and print Actor results from the run's dataset (if any)
26console.log('Results from dataset');
27console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
28const { items } = await client.dataset(run.defaultDatasetId).listItems();
29items.forEach((item) => {
30    console.dir(item);
31});
32
33// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Uber Eats Email Scraper - Keyword & Location Targeting API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Uber Eats Email Scraper - Keyword & Location Targeting 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 Email Scraper - Keyword & Location Targeting API in Python

Uber Eats Email Scraper - Keyword & Location Targeting API through CLI

Uber Eats Email Scraper - Keyword & Location Targeting OpenAPI definition

Uber Eats Email Scraper - Keyword & Location Targeting API

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code-beat/uber-eats-email-scraper-ultra-fast-and-precise

🚗 Uber Eats Email Scraper pulls restaurant and merchant emails at scale using your keywords. 🔓 Decodes hidden addresses with domain filtering. 🍔 Built for food tech sales, delivery SaaS & restaurant lead generation.

Code Beat

🍴 Uber Eats Scraper [PPR]

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🍴 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!

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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.

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

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Uber Eats Store Search Scraper 🍽️

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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. 🍽️🔍