Uber Eats Email Scraper โ€“ Advanced, Cheapest & Reliable ๐Ÿ“ง๐ŸŽŸ๏ธ

Uber Eats Email Scraper โ€“ Advanced, Cheapest & Reliable ๐Ÿ“ง๐ŸŽŸ๏ธ

by contactminerlabs

Scrape verified emails and profile data from Uber Eats. Perfect for lead generation, outreach, and enriching CRM or Sheets lists with accurate contact info.

56 runs
8 users
Try This Actor

Opens on Apify.com

About Uber Eats Email Scraper โ€“ Advanced, Cheapest & Reliable ๐Ÿ“ง๐ŸŽŸ๏ธ

Need to build a targeted list of Uber Eats restaurant contacts, but tired of manual searches? This scraper does the heavy lifting for you. Just set your search parametersโ€”like location or cuisine typeโ€”and it will pull verified contact emails directly from Uber Eats profiles. You get a clean dataset with the email, the restaurant's profile title, their bio, the source URL, and platform details, all ready for export. I use this data all the time. Itโ€™s perfect for sales teams looking for qualified restaurant leads, marketers planning local outreach campaigns, or anyone needing to enrich their existing CRM or Google Sheets lists with accurate, source-verified information. The process is straightforward, and the data you get is structured and reliable, saving you hours of tedious work. Itโ€™s one of those tools that just works, letting you focus on connecting with prospects instead of hunting for their contact details.

What does this actor do?

Uber Eats Email Scraper โ€“ Advanced, Cheapest & Reliable ๐Ÿ“ง๐ŸŽŸ๏ธ is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Uber Eats Email Scraper

Extracts publicly available email addresses and business data from UberEats.com restaurant listings. Use it to generate leads for sales, partnerships, or marketing in the food service industry.

Overview

This actor scrapes UberEats.com based on your search criteria. You provide a keyword and optional filters; it returns a structured dataset of matching restaurants and their contact emails. Data is exported in JSON, CSV, Excel, or XML/HTML formats.

Key Features

  • Targeted Scraping: Search by keyword (e.g., "pizza", "vegan", "ghost kitchen") and optional location.
  • Email Domain Filtering: Filter results to include or exclude specific email domains (e.g., @gmail.com).
  • Scan Limit Control: Set a limit on the number of restaurant listings to process.
  • Structured Output: Returns clean, consistent data per listing:
    • title: Restaurant/business name.
    • url: Direct link to the Uber Eats listing.
    • snippet: Short description or cuisine info.
    • email: Publicly available contact email.
    • email_domain: The domain part of the email.
    • platform: Always "ubereats".
    • displayed_url: A cleaned version of the listing URL.
  • Pay-per-Result Pricing: You are charged $4.99 per month, only for successful email extractions.

How to Use

Configure the actor with the following input parameters:

  1. Keyword: Your search term (e.g., "sushi", "food truck", "coffee shop").
  2. Email Domains (Optional): A list of domains to filter by, like @gmail.com or @restaurant.com.
  3. Location (Optional): A city or area to narrow the search (e.g., "London", "Berlin").
  4. Scan Limit (Optional): The maximum number of restaurant listings to scrape.

Run the actor. It will navigate UberEats.com, apply your filters, extract the data, and provide downloadable results.

Input/Output

Input (Configuration):
* keyword: Search string.
* emailDomains: Array of email domain strings to filter.
* location: Location string.
* scanLimit: Integer for max results.

Output (Dataset):
A table where each row contains the structured fields listed in Key Features for a single restaurant.

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Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Uber Eats Email Scraper โ€“ Advanced, Cheapest & Reliable ๐Ÿ“ง๐ŸŽŸ๏ธ now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
contactminerlabs
Pricing
Paid
Total Runs
56
Active Users
8
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