Uber Eats Phone Number Scraper – Cheapest 📞🍔

🍔 Uber Eats Phone Number Scraper – Find Restaurants' Phone Numbers Fast 📞🍕

Uber Eats Phone Number Scraper extracts public phone numbers of restaurants, cafes, bakeries, fast-food and takeout places listed on Uber Eats in minutes. Add your keywords (type of restaurant or cuisine + city), pick the countries you want and get a clean, deduplicated list of restaurant phone numbers in international format, with the matching Uber Eats store page or restaurant website URL and description snippet.

Perfect for food & beverage suppliers, restaurant POS and delivery software, marketing agencies, packaging suppliers, food distributors and B2B sales teams looking to reach restaurants directly by phone.

✨ Why this Uber Eats Phone Number Scraper?

• 📈 No more empty results – many scrapers return only a handful of numbers. This one is built to deliver volume
• 🍽️ Store pages – reads the restaurant data embedded in Uber Eats store pages (name, address, phone)
• 🌐 Restaurants' own websites – also finds restaurants that say "Order on Uber Eats" on their website and extracts the phone number from the header, footer and tel: links
• 🌍 Many countries – USA, UK, Canada, France, Australia, Mexico and more
• 📱 Ready to dial – every number in E.164 format (+12128674120) plus the readable format (+1 (212) 867-4120)
• 🎯 Unique numbers only – every phone number appears once, no duplicates
• 🧹 Clean data – prices, delivery times, ratings, order numbers and fake numbers are filtered out
• 🛑 Stops exactly at your target – and stops automatically when no more numbers are available, so you never waste time or money
• 📤 Export anywhere – JSON, CSV, Excel, XML, HTML, API, Zapier, Make, Google Sheets

🔍 What does it extract?

Field	Description
phone	Phone number in E.164 format (e.g. +12128674120) – ready for CRMs and dialers
phoneFormatted	Phone number as written on the page, in international format
country	Country of the phone number (e.g. United States)
countryCode	Dial code (e.g. +1)
countryIso	ISO country code (e.g. US)
title	Restaurant name or page title
url	Link to the Uber Eats store page or restaurant website where the number was found
snippet	Page text around the phone number
platform	Always Uber Eats
displayedUrl	Readable version of the URL
thumbnail	Image when available
scrapedAt	Date and time of extraction

🛠 How to scrape Uber Eats restaurant phone numbers (3 steps)

1. Add one or more keywords with + Add – e.g. pizza New York, sushi London, burger Toronto, halal Paris
2. Choose the countries of your cities – e.g. United States, United Kingdom, Canada, France, Australia
3. Set the maximum number of phone numbers and click Start

Download your restaurant phone list in JSON, CSV, Excel, XML or HTML, or send it to your CRM through the Apify API and integrations.

💡 Tips to get more Uber Eats phone numbers

🔹 Cuisine + city: pizza Chicago, sushi Los Angeles, indian restaurant London, kebab Paris, thai food Sydney, tacos Mexico City, ramen Toronto 🔹 Restaurant types: pizza, burger, sushi, chinese, indian, thai, mexican, halal, vegan, cafe, bakery, desserts, chicken, poke, breakfast, grill 🔹 One city per keyword gives the best results – and always list the country of your cities 🔹 Add several keywords with + Add – each one is searched separately, which multiplies results

🎯 Use cases

🥩 Food & beverage suppliers – reach restaurants for ingredients, drinks and equipment 💻 Restaurant software – promote POS, online ordering, reservation and delivery tools 📦 Packaging suppliers – sell takeout boxes, bags and branded packaging 📢 Marketing agencies – offer social media, SEO and ads to restaurants 🚚 Delivery & logistics – partner with restaurants already doing delivery ⚙️ Automation – replace hours of manual restaurant research and copy-pasting

📥 Input

Input example:

{
  "KEYWORD": ["pizza New York", "sushi London", "burger Toronto"],
  "COUNTRY": ["United States", "United Kingdom", "Canada"],
  "MAX_ITEMS": 100
}

Field	Type	Description
KEYWORD	string[]	🔍 Type of restaurant or cuisine + city (one per line, click + Add)
COUNTRY	string[]	🌍 Countries of the phone numbers: name, ISO code or dial code (United States, GB, +33, Any)
MAX_ITEMS	integer	🔢 Number of unique phone numbers to collect

🧾 Output example

{
  "phone": "+12128674120",
  "phoneFormatted": "+1 (212) 867-4120",
  "country": "United States",
  "countryCode": "+1",
  "countryIso": "US",
  "title": "Tony's Brick Oven Pizza – Order Online | Uber Eats",
  "url": "https://www.ubereats.com/store/tonys-brick-oven-pizza/aBcD1234",
  "snippet": "Tony's Brick Oven Pizza, 245 W 52nd St, New York, NY 10019. Phone: (212) 867-4120",
  "platform": "Uber Eats",
  "displayedUrl": "ubereats.com › store › tonys-brick-oven-pizza",
  "thumbnail": null,
  "scrapedAt": "2026-10-15T18:38:21.664Z"
}

❓ FAQ

Is it legal to scrape Uber Eats restaurant phone numbers? This actor only collects business phone numbers that restaurants have published publicly. You are responsible for using the data in compliance with privacy and telemarketing laws (TCPA, do-not-call registries, GDPR, CASL…): have a legitimate business reason to contact restaurants and respect opt-out requests.

Why did I get fewer phone numbers than requested? Not every page shows a phone number. The actor searches Uber Eats store pages and restaurants' own websites, then stops automatically when no more numbers exist for your search. To get more, use one city per keyword and add more cuisines.

Do I need an Uber Eats account? No. Just enter your keywords and run the actor.

Can I schedule it? Yes – use Apify Schedules to collect new restaurant phone numbers daily or weekly and send them automatically to Google Sheets, a CRM or a webhook.

💰 Pricing

Simple pay-per-result model: you only pay for the phone numbers you collect.

Price: $9.99 per 1,000 phone numbers 💵

⚠️ Disclaimer

This tool is not affiliated with, endorsed by, or sponsored by Uber Eats (ubereats.com) or Uber Technologies, Inc.

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📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ review if you like the Uber Eats Phone Number Scraper! 🌍 Questions, custom needs or issues? Contact us through Apify or via ContactMinerLabs 🌩️.