Uber Eats Email Scraper

Pricing

$5.00/month + usage

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.

Pricing

$5.00/month + usage

Rating

0.0

(0)

Developer

Scraper Mind

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

0.19 hours

Issues response

a month ago

Last modified

Categories

Lead generation

Automation

Other

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

Uber Eats Email Scraper API in JavaScript

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

Uber Eats Email Scraper API through CLI

Uber Eats Email Scraper OpenAPI definition

Uber Eats Email Scraper API

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207

4.8

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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

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

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sian.agency/uber-eats-menu-scraper

🍴 ONLY Uber Eats scraper with analytics! Extract menus + automatic price/image coverage analysis. Competitive intelligence in seconds. Start free! 📊

SIÁN OÜ

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Ubereats Listing Brands By Country

datacach/ubereats-listing-brands-by-country

Automatically fetch the URLs of every brand (restaurant, market, etc) listed on Uber Eats for the countries you specify. Perfect for market research, competitor analysis, or lead generation. Super fast response and reliable data.

DataCach

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