🍴Uber Eats Scraper [PPR]

🍴Uber Eats Scraper [PPR]

by borderline

Need to pull restaurant data from Uber Eats without the manual hassle or a huge upfront cost? This pay-per-result scraper is built for that. Just give...

50,099 runs
146 users
Try This Actor

Opens on Apify.com

About 🍴Uber Eats Scraper [PPR]

Need to pull restaurant data from Uber Eats without the manual hassle or a huge upfront cost? This pay-per-result scraper is built for that. Just give it a search query and a location, and it gets to work. It fetches a detailed list of restaurants, grabbing the essentials like business names, contact numbers, customer ratings, and precise locations. More importantly, it goes deep to extract full menu data—items, descriptions, and prices—so you get the complete picture. I use this for a few key things: competitive analysis to see how local menus and pricing stack up, lead generation for B2B sales, and keeping my own local business directories accurate and up-to-date. The pay-per-result model means you only pay for successful data extraction, which keeps it cost-effective for one-off projects or ongoing monitoring. The output is structured and ready to go, making integration into your existing workflows, spreadsheets, or databases straightforward. If you need reliable, on-demand Uber Eats data without running your own infrastructure, this handles it.

What does this actor do?

🍴Uber Eats Scraper [PPR] 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 Scraper Actor | (PPR) Pay per results version 🎉 Uber Eats Scraper is your ultimate solution to effortlessly extract comprehensive restaurant data from Uber Eats with a simple search query and location—no URLs required! Perfect for gathering instant restaurant insights quickly and efficiently. ## ✨ Features - 🔍 Simple Search Queries: Provide just a query ! - 📊 Rich Detailed Data: Instantly capture comprehensive restaurant information: - 🏠 Restaurant Name & Sanitized Title - ⭐ Ratings & Customer Reviews - 📍 Complete Address (latitude, longitude) - 🍕 Full Menus & Pricing Details - 🕑 Opening Hours & Availability - 📞 Contact Information (Phone Number & Emails) - 🖼️ High-Quality Images (Logo & Hero Image) - 📐 Distance & Delivery ETA - 🚧 Open/Closed Status & Messages - 💻 Effortless Integrations: - Google Sheets for quick data exports - Slack Notifications for instant alerts - Zapier & Make for streamlined automation --- ## 🛠️ Input Just provide a query and precise delivery address: json { "query": "pizza", //optional "address": "1600 Pennsylvania Avenue NW, Washington" } - query (optional): Cuisine type, restaurant name, or keyword - address: Delivery location (Address, City, Zip, etc.) --- ## 🚀 Output Example (JSON) The scraper returns detailed restaurant information, like: json { "title": "NY Pizza Grill (DC)", "sanitizedTitle": "NY Pizza Grill (DC)", "emails": ["contact@mypizzagrill.com"], "phoneNumber": "+12025473838", "cuisineList": ["Italian", "Pizza", "American"], "location": { "address": "1442 Pennsylvania Ave SE, Washington, DC 20003", "streetAddress": "1442 Pennsylvania Ave SE", "city": "Washington", "country": "US", "postalCode": "20003", "region": "DC", "latitude": 38.8799987, "longitude": -76.9840023, "geo": { "city": "washington-dc", "country": "us", "neighborhood": "capitol-hill-washington-dc", "region": "dc" }, "locationType": "PHYSICAL" }, "currencyCode": "USD", "rating": { "ratingValue": 4.4, "reviewCount": "700+" }, "storeAvailablityStatus": "AVAILABLE", "isOpen": true, "closedMessage": "", "etaRange": "Delivered in 35 to 55 min", "fareBadge": "Delivery Fee: $0.99", "hours": [ { "dayRange": "Sunday - Thursday", "sectionHours": [{ "startTime": 630, "endTime": 60 }] }, { "dayRange": "Friday - Saturday", "sectionHours": [{ "startTime": 630, "endTime": 150 }] } ], "categories": ["Italian", "Pizza", "American"], "categoriesLink": [ { "text": "Italian", "link": "/us/category/washington-dc/italian" }, { "text": "Pizza", "link": "/us/category/washington-dc/pizza" } ], "featuredItems": { "title": "Mozzarella Sticks", "itemDescription": "5 breaded mozzarella sticks with marinara.", "price": 999, "priceTagline": "$9.99", "isSoldOut": false, "isAvailable": true, "hasCustomizations": false, "endorsement": "Popular", "uuid": "b7ac95d8-11ea-4917-bc31-dd20c2407f29", "rating": "96%", "numRatings": 4, "featuredItems": "#1 most liked" }, "menu": [ { "catalogName": "Appetizers", "catalogSectionUUID": "71871c25-cb39-4375-b395-b95fe87f9edc", "catalogItems": [ { "title": "Mozzarella Sticks", "itemDescription": "5 breaded mozzarella sticks with marinara.", "price": 999, "priceTagline": "$9.99", "isSoldOut": false, "isAvailable": true, "hasCustomizations": false, "endorsement": "Popular", "labelPrimary": "$9.99, 96% liked based on 4 reviews.", "uuid": "b7ac95d8-11ea-4917-bc31-dd20c2407f29", "rating": "96%", "numRatings": 4 } ] } ], "logoImageUrl": "https://example.com/logo-image.jpeg", "heroImageUrl": "https://example.com/hero-image.jpeg", "distance": { "text": "1.1 KM", "accessibilityText": "1.1 kilometers" }, "supportedDiningModes": ["DELIVERY", "PICKUP"], "storeReviews": [ { "rating": 5, "text": "Great pizza and quick delivery!", "timeSinceReview": "1 week ago", "formattedDate": "March 1, 2025", "createdAt": "2025-03-01T13:45:00Z", "eaterName": "John D.", "contentUUID": "abcd-1234-efgh-5678" } ], "featuredReviews": [ { "rating": 5, "text": "Best pizza in DC!", "timeSinceReview": "2 months ago", "formattedDate": "January 1, 2025", "createdAt": "2025-01-01T13:45:00Z", "eaterName": "Emily S.", "contentUUID": "ijkl-9876-mnop-5432" } ], "uuid": "bff91760-2d67-54d7-91db-9f6f875086a6", "url": "https://ubereats.com/us/store/ny-pizza-grill-dc/v_kXYC1nVNeR259vh1CGpg" } --- ## 💻 Integrations & Automation - Google Sheets 📊: Automatically export restaurant data for analysis. - Slack 📩: Real-time restaurant data updates delivered instantly. - Zapier & Make ⚡️: Connect effortlessly with thousands of apps for automated workflows. --- ## 📋 Example Use Cases - Competitive Analysis: Quickly gather detailed competitor menus, prices, and ratings. - Data-Driven Marketing: Efficiently collect restaurant data for targeted marketing campaigns. - Research & Development: Accelerate product innovation by analyzing food trends and popularity insights. --- ## 💬 Support & Feedback Need help or have questions? Please open an issue for dedicated support. --- ### 🚀 Start scraping effortlessly with Uber Eats Scraper today!

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 Scraper [PPR] now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
borderline
Pricing
Paid
Total Runs
50,099
Active Users
146
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