Uber Eats Email Scraper avatar
Uber Eats Email Scraper

Pricing

$5.00/month + usage

Go to Apify Store
Uber Eats Email Scraper

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

Scraper Mind

Maintained by Community

Actor stats

1

Bookmarked

41

Total users

3

Monthly active users

12 days ago

Last modified

Share

Uber Eats Email Scraper - Fast, Accurate & Affordable ⚡️📩

Unlock the power of Uber Eats email scraping with the Uber Eats Email Scraper! Fast, Accurate & Affordable ⚡️👌, this tool is crafted for marketers, researchers, and businesses looking to collect Uber Eats emails using targeted keywords.


🔍 Key Features

  • Keyword-Based Search: Enter keywords like "john", "marketing", and more to find specific Uber Eats email addresses.
  • Location Filtering: Narrow down results by targeting specific cities or regions.
  • Platform Selection: Specifically scrapes from Uber Eats restaurant listings.
  • Custom Email Domains: Filter emails by custom domains such as @gmail.com, @yahoo.com, and more.
  • Proxy Support: Avoid rate limits with proxy integration for seamless scraping.

📚 Input Parameters

{
"keywords": ["john", "marketing"],
"location": "Los Angeles",
"platform": "Uber Eats",
"customDomains": ["@gmail.com"],
"proxyConfiguration": {
"useApifyProxy": true
}
}

This Uber Eats Email Scraper uses the following input parameters:

  • keywords:

    • A list of keywords to search for (e.g., ["john", "marketing"]).
  • location:

    • Specify a city or region to filter your search (optional).
  • platform:

    • Scrapes from Uber Eats only.
  • customDomains:

    • Target specific email domains in results (e.g., @gmail.com, @business.com).
  • proxyConfiguration:

    • Optional proxy settings for large-scale or stealth scraping.

📈 Output Structure

Your data will be structured like this:

  • keyword: The keyword used for the search.
  • title: The name of the restaurant or business.
  • description: Text from which the email was extracted.
  • url: The source link from Uber Eats.
  • email: The extracted email address.

Example Output JSON

[
{
"keyword": "john",
"title": "John's Tacos",
"description": "Reach out to us at johnstacosmarketing@gmail.com",
"url": "https://www.ubereats.com/store/johns-tacos/123456",
"email": "johnstacosmarketing@gmail.com"
}
]

🛠️ How to Use

  1. Enter Keywords & Domains:

    • Add your target keywords and preferred email domains.
  2. Start the Actor:

    • Click Run to begin scraping email addresses from Uber Eats listings.
  3. Enable Proxy (Optional):

    • Add proxy configuration for higher success rate on large jobs.
  4. Export the Data:

    • Export scraped Uber Eats emails in JSON, CSV, or Excel formats.

👩‍🎓 Best Use Cases

  • Food Business Lead Generation: Find emails of restaurant owners or managers.
  • Marketing Campaigns: Build mailing lists for local eateries or food service providers.
  • Competitor Research: Understand who’s operating in the Uber Eats ecosystem.
  • CRM Enrichment: Add verified Uber Eats email data to your contact list.

💬 Support & Feedback

Need help with the Uber Eats Email Scraper or have a suggestion? We’re always listening. Contact our support team for quick assistance and feedback submission.