Uber Eats Phone Number Scraper – Fast & Reliable 📞🍔

The Uber Eats Phone Number Scraper is a powerful automation tool designed to extract publicly available phone numbers and business contact information from Uber Eats restaurants, vendors, and related pages.

Simply enter restaurant, food, or cuisine keywords, optionally filter by location or country, and collect structured phone number data for outreach, partnerships, marketing campaigns, lead generation, and CRM enrichment.

Perfect for food delivery agencies, restaurant marketers, affiliates, SaaS platforms, and B2B sales teams looking to connect with Uber Eats vendors at scale.

🔍 Key Features

Scrape phone numbers from Uber Eats restaurants, vendors, and listings

Search by restaurants, cuisines, food types, or keywords

Filter results by country and location

Extract rich restaurant, vendor & contact data

Multiple data views (overview, contacts-only, grouped by category/vendor)

Export results in CSV, Excel, JSON, XML, or HTML

Optimized for speed, scalability, and reliability

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📊 Extracted Data Fields

Field	Description
phone	Publicly available phone number
country	Country of the restaurant/vendor
title	Restaurant or vendor name
url	Source Uber Eats listing URL
snippet	Context where phone number was found
keyword	Keyword used for scraping
platform	Always "Uber Eats"
thumbnail	Restaurant image or logo

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🌍 Location Support

🌎 Global phone number extraction for Uber Eats vendors

Filter results by city, state, or region (e.g., New York, California, Texas)

Leave location empty for nationwide or global results

Works across all Uber Eats-supported countries

🛠 How to Use

Enter restaurant, food, or cuisine keywords (e.g., pizza, sushi, burger)

Select a country for phone number extraction

Optionally add a location filter

Set maximum items per keyword

Run the scraper and export your data

💡 Keyword & Scraping Tips

Use specific cuisine or food keywords for better targeting: pizza, sushi, Chinese, Mexican

Combine keyword + location for precise leads: "pizza California", "sushi New York"

Run multiple keywords for broader coverage

Filter by country for more accurate outreach

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🌟 Use Cases & Benefits

🍽️ Restaurant Partnerships – Connect with Uber Eats vendors & restaurants

📢 Marketing Campaigns – Build targeted restaurant phone lists

📈 Lead Generation – Collect verified vendor phone numbers

🏢 B2B Prospecting – Reach food suppliers and delivery vendors

🤖 Automation Ready – Plug data directly into CRMs & workflows

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💸 Pricing

This scraper runs on a monthly subscription model. You only pay for successful runs.

💳 Price: $14.98 / month

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📥 Input Schema

Example Input

{
  "KEYWORDS": ["pizza", "burger", "sushi"],
  "COUNTRY": "United States (+1)",
  "LOCATION": "California",
  "MAX_ITEMS_PER_KEYWORD": 10
}

Input Fields

Field	Type	Description
KEYWORDS	Array	Keywords for restaurants, foods, or cuisines
COUNTRY	String	Country to filter phone numbers
LOCATION	String	Optional city/state filter
MAX_ITEMS_PER_KEYWORD	Integer	Maximum phone numbers to extract per keyword

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📤 Output Example

{
  "phone": "+1 555-123-4567",
  "country": "United States",
  "title": "Best Pizza Place",
  "url": "https://www.ubereats.com/store/best-pizza-place",
  "snippet": "Contact: +1 555-123-4567",
  "keyword": "pizza",
  "platform": "Uber Eats",
  "thumbnail": "https://example.com/logo.png"
}

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📈 Outreach & Usage Best Practices

Personalize calls or SMS with restaurant context

Segment leads by cuisine or location

Verify phone numbers before bulk outreach

Respect telemarketing and privacy regulations

Track responses and conversions in your CRM

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❓ FAQ

Can I scrape Uber Eats phone numbers? Yes, only publicly available phone numbers are extracted.

Is this country-restricted? No, it works for any country listed in the input.

Do I need keywords? Yes, keywords target specific restaurants, cuisines, or foods.

Can I export results? Yes – CSV, Excel, JSON, XML, HTML supported.

Is the data public? Yes, only publicly accessible information is collected.

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📫 Support

⭐ Leave a 5-star review if this actor helps your workflow

🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - ContactMinerLabs 🌩️

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