Uber Eats Scraper

Extract Uber Eats stores, full menus, and product details for any delivery or pickup location — by city or address, search query (pizza, groceries, döner, and more), or direct Uber Eats URL. Export structured JSON for market research, price monitoring, and food-delivery analytics, from $1.50 per 1,000 results (pay per event).

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What can Uber Eats Scraper do for you?

• Discover restaurants, grocery, and retail stores near a delivery or pickup location
• Pull store profiles with address, hours, ratings, cuisines, and the full catalog of items they sell
• Export individual menu and grocery products with prices, categories, and availability flags
• Open product detail pages for customizations, extra images, and richer metadata when you need depth
• Run from search terms, nearby feeds, or store / product URLs you already have
• Cap output with maxItems and schedule recurring runs for ongoing monitoring

What data can you extract from Uber Eats?

Field	Description
🏪 Store name & ID	Merchant title, slug, UUID, and public store URL
📍 Location	Address, city, postal code, country, coordinates
⭐ Ratings & hours	Rating, review count, open status, opening hours
🍽️ Menu categories	Section titles (Featured, Deals, Grocery aisles, etc.)
🛒 Products	Name, description, price, image, sold-out / customization flags
🔍 Search context	Query and delivery location used for the run
📦 Record type	store-information, product, or product-information

Store records include a nested products array with everything the merchant lists. Product records link back to storeId and storeName.

Why use this scraper?

• 📊 Market research — Compare menus and prices across cities or cuisines
• 💰 Price monitoring — Track dish and grocery prices by location over time
• 🗺️ Coverage analysis — Map which brands and categories appear in a market
• 🤖 Automation — Feed CRM, BI tools, or internal databases via Apify API
• 🛍️ Grocery & retail — Same actor handles restaurant dishes and Uber Eats grocery items

Pricing

This Actor uses pay per event pricing (effective October 14, 2026). You are not charged separate Apify platform usage costs for these events — you pay only for the result events below.

Event	What you pay for	Standard	Bronze	Silver	Gold
product	One catalog product / menu item row	$1.50 / 1,000	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000
store-information	One store row (includes full nested product catalog)	$1.50 / 1,000	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000
product-information	One enriched product detail row (customizations, extra fields)	$1.50 / 1,000	$1.40 / 1,000	$1.30 / 1,000	$1.20 / 1,000

• Enable Scrape store information, Scrape products, or Scrape product details in input to control which events are emitted.
• No hidden fees or limits on usage beyond your chosen maxItems cap.
• Apify subscription plans apply Bronze / Silver / Gold discounts automatically on the rates above.

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How to use Uber Eats Scraper

1. Create a free Apify account if you do not have one.
2. Open Uber Eats Scraper on Apify Store.
3. Set delivery location (required for search) and add search queries, start URLs, or both.
4. Choose what to extract (store info, products, product details) and set maxItems if needed.
5. Click Start, then download results from the Dataset tab as JSON, CSV, Excel, or via API.

Input

Field	Type	Required	Description
location	string	Recommended	Delivery or pickup location (city, address, or postal code), e.g. Berlin
searchQueries	array	Optional	Searches such as pizza, döner, or grocery terms at the location
startUrls	array	Optional	Uber Eats search, store, feed, or product URLs
diningMode	string	Optional	DELIVERY (default) or PICKUP
localeCode	string	Optional	Site locale, e.g. en, de-en (default en)
scrapeStoreDetails	boolean	Optional	Store row + nested catalog (store-information event). Default: true
scrapeProducts	boolean	Optional	One row per catalog item (product event). Default: true
scrapeProductDetails	boolean	Optional	Full product payload (product-information event). Default: false
maxItems	integer	Optional	Max total records across all types (0 = unlimited). Default: 0
proxyConfiguration	object	Optional	Apify proxy settings (residential recommended)

📝 Copy for Use:

{
    "location": "Berlin",
    "searchQueries": ["pizza"],
    "localeCode": "de-en",
    "diningMode": "DELIVERY",
    "scrapeStoreDetails": true,
    "scrapeProducts": true,
    "scrapeProductDetails": false,
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Why Choose This Scraper?

• Affordable: Pay only for the records you extract — $1.50 per 1,000 store, product, or product-detail results (from $1.20 / 1,000 on Gold Apify plans).
• Comprehensive: Store profiles with nested menus plus optional per-item and detail-level exports.
• Easy to Use: Location + search or URL — no manual browsing required.
• Reliable: Fail-soft item handling, residential proxy support, and structured JSON output ready for APIs.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Request Example (Python)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "location": "Berlin",
    "searchQueries": ["pizza"],
    "localeCode": "de-en",
    "scrapeStoreDetails": True,
    "scrapeProducts": True,
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

run = client.actor("rigelbytes/ubereats-scraper").call(run_input=run_input)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const input = {
    location: 'Berlin',
    searchQueries: ['pizza'],
    localeCode: 'de-en',
    scrapeStoreDetails: true,
    scrapeProducts: true,
    maxItems: 50,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL'],
    },
};

const run = await client.actor('rigelbytes/ubereats-scraper').call(input);

Running with cURL

API_TOKEN=<YOUR_API_TOKEN>
curl "https://api.apify.com/v2/acts/rigelbytes~ubereats-scraper/runs?token=$API_TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "location": "Berlin",
    "searchQueries": ["pizza"],
    "localeCode": "de-en",
    "maxItems": 50,
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }'

Scheduling & Deduplication

Scheduling: In Apify Console, open the Schedules tab on the Actor or create a scheduled task. For menu and price monitoring, a daily run per city/search term is a common starting point; high-churn markets may use weekly store-level snapshots plus daily searches for key queries.

Deduplication: Each run writes to a new dataset by default. To avoid duplicates across runs, key on storeId for store rows and productId (with storeId) for products when merging into your warehouse. Use maxItems to cap cost during discovery runs. The Actor stores run-stats in the key-value store with recordsByType counts for billing reconciliation.

Webhooks: Add an Apify webhook on run success to trigger downstream ETL when a scrape finishes.

FAQs & Troubleshooting

Q: Do I need a location if I only use store URLs?

You can pass startUrls alone for direct store or product pages. For searchQueries or nearby discovery, location is required so Uber Eats returns stores available in that area.

Q: What is the difference between product and product-information?

product rows come from the store catalog (fast, listing-level fields). product-information rows open each item for customizations, extra images, and richer metadata — billed at the product-information event rate.

Q: Why do I see multiple record types in one run?

Each enabled output toggle emits its own event type. A single store with scrapeStoreDetails and scrapeProducts both on produces one store-information row plus one product row per menu item until maxItems is reached.

Q: Which locale should I use?

Set localeCode to match the Uber Eats site you target (e.g. de-en for Germany English). It affects API locale and default URLs in results.

Q: Are grocery and restaurant items supported?

Yes. Search and store URLs work for restaurants, grocery, and other Uber Eats verticals available in the selected location.

Q: Why am I getting empty search results?

Confirm location spelling, try DELIVERY vs PICKUP, and ensure Apify Residential proxy is enabled. Availability is geo-specific — the same query can differ by city.

---

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• Cdiscount Scraper — Scrapes Cdiscount France product listings from search queries or start URLs, with optional listing details and...
• Clutch.co Company Scraper — Scrape Clutch.co company listings, profiles, and reviews by directory URL or service + location search. Optional...
• Costco Product Scraper — Scrapes product data from Costco.com including prices, descriptions, ratings, and availability. Supports search...
• Disboard Scraper — Scrape Discord server listings from DISBOARD by community tag, search query, or direct URL. Extracts server name,...
• Fat Brain Toys Scraper — Extract Fat Brain Toys category products, with optional product details and one record per customer review.
• Flipkart Product Scraper — Scrape Flipkart product listings from start URLs, categories, or search queries, with optional product details and...
• hipages Australia Scraper — Scrape hipages.com.au tradie listings by category or URL. Optionally enrich each company with profile details and...
• HRS Hotel Reviews Scraper — Extract hotel details, room offers, and guest reviews from HRS hotel URLs.
• HRS Hotel Scraper — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
• IKEA Product Scraper — Scrape IKEA product listings from search queries or start URLs, with optional product details and customer reviews.
• Levi's Scraper — Scrapes Levi's product listings from search queries or category URLs, with optional product details and reviews.
• MediaMarkt Germany Product Scraper — Scrape MediaMarkt.de products from search queries or URLs, with optional product details and customer reviews.
• Naukri Job Scraper — Scrape Naukri.com job listings by keyword, location, start URL, or company page, with optional job details, company...
• Nike Scraper — Scrapes Nike.com product listings from search queries or category URLs, with optional product details and reviews.
• Old Navy Scraper — Scrapes Old Navy product listings from search queries or category URLs, with optional product details and reviews.
• OTTO.de Scraper — Scrape OTTO.de products from a search query or category URL, with optional product details and one dataset row per...
• Google Play Store App Reviews Scraper — Scrape Google Play Store app reviews by app ID or Play Store URL. Supports multiple apps, sorting, score filters,...
• Refurbed.de Product Scraper — Scrape refurbished product listings from refurbed.de using search queries or start URLs, with optional product...
• Rottentomatoes Reviews Scraper — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
• SEEK Australia Jobs Scraper — Scrape SEEK Australia job listings by keyword, location, or URL. Optionally enrich each job with full details,...
• Skool Community Scraper — Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page...
• Target.com Product Scraper — Scrape Target.com products from search queries or URLs. Optionally enrich with product details and customer reviews.
• The Movie Database (TMDB) Scraper — Scrape movies, TV shows, people, and awards from themoviedb.org with the same list filters as the website — genres,...
• TripAdvisor Reviews Scraper — Scrape reviews from TripAdvisor hotel pages using GraphQL API with DataDome protection bypass.
• Trustpilot Reviews Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• Trustpilot Company Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• TrustRadius Scraper — Scrape TrustRadius companies, product details, and reviews from search queries, categories, or product URLs.
• Under Armour Scraper — Scrapes Under Armour product listings from search queries or category URLs, with optional product details and reviews.
• Yelp Scraper — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

• Carrefour Product Scraper — Scrape Carrefour grocery products across UAE, Saudi Arabia, Qatar, Pakistan, and Georgia by search query, category,...
• Esselunga Scraper — Extract Esselunga grocery products from search queries, category pages, and product links, with optional...
• Instacart Scraper — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
• Lidl Product Scraper — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
• OpenTable Scraper — Scrape OpenTable restaurants by search query (with date/time/party size) or start URLs. Optional listing details and...
• Publix Scraper — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.
• Tigros Scraper — Scrape Tigros grocery products from search queries or category, search, and product URLs, with optional product details.

📰 News & Media

Scrape news, articles, and media content for research.

• BizBuySell Scraper — Scrape BizBuySell business-for-sale listings via search URLs or structured filters, with optional full listing details.
• SEC IPO Event Intelligence — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
• SEC Filings Scraper — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

🛠️ Developer Tools

General-purpose scraping and automation tools.

• EU Tenders Scraper — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
• Web Crawler — This web crawler is designed to provide users with complete flexibility by allowing them to use their **own...
• Zapier Apps Scraper — Scrape Zapier’s app directory by category, subcategory, sort (popularity, premium, beta, recently launched), or URL....

🔧 Other

Additional scraping tools by Rigel Bytes.

• Adidas Product Scraper — Scrape Adidas product listings and optional product details from any supported Adidas country storefront. Supports...
• Bilibili Scraper — Scrape Bilibili videos, categories, search results, and creator spaces. Extract titles, stats, tags, and optional...
• Calvin Klein Product Scraper — Scrape Calvin Klein products from official European and UK shops using search queries or category/search URLs, with...
• Chargefinder Scraper — Scrape EV charging stations from Chargefinder by location search or charger URL. Extract map listings and optional...
• easyJet Flight Availability & Price Scraper — Scrapes easyJet calendar availability and lowest fares for selected routes.
• Electromaps Scraper — Scrape EV charging stations from Electromaps by city or country search. Extract map listings and optional...
• Google Ads Transparency Scraper — Scrape ads from the Google Ads Transparency Center by domain, advertiser, or keyword. Filter by region, time period,...
• H&M Scraper — Scrape H&M products from search queries, search URLs, and category URLs, with optional product details.
• Leboncoin Listing Scraper — Scrape Leboncoin listings from a search URL or filters. Extracts title, price, location, seller, images, attributes,...
• Marktplaats.nl Scraper — Scrapes Marktplaats.nl classified listings via the LRP search API with optional VIP listing details and seller...
• Open Construction Estimate Scraper — Scrape construction cost estimates from OpenConstructionEstimate. Export the full catalog, filter by...
• Qatar Airways Flight Scraper — Search Qatar Airways fares for one-way, round-trip, and multi-city trips. Returns flight offers, fare families, and...
• Red Note Scraper — Scrape Red Note (Xiaohongshu) posts from home-feed categories or URLs. Optionally attach creator profiles and top...
• Ryanair Flight Availability Scraper — Scrape Ryanair flight availability, priced fares, and calendar dates for origin/destination routes. Agents pass IATA...
• Skyscanner Flights Scraper — Search Skyscanner one-way and return flights, apply baggage, stop, and time filters, and optionally collect...
• Stayz.com.au Scraper — Scrape Stayz Australia holiday rental listings from search queries or URLs, with optional full listing details.
• StreetEasy Scraper — Scrape StreetEasy NYC for-rent and for-sale listings from search URLs or location queries, with optional...
• Subito.it Scraper — Scrape classified ads from Subito.it by search query or URL, with website-matching filters and optional...
• The North Face Scraper — Scrape The North Face products from category pages and search, with optional color, size, and stock details.
• Timeshop24 Scraper — Extract watches and accessories from Timeshop24 category pages and search. Optionally open each product page for...
• Uhrcenter Scraper — Scrape watches and jewellery from uhrcenter.de by keyword, category URL, and shop filters, with optional product...
• Zara Scraper — Scrape Zara products from category URLs and search, with optional size, composition, and description details.

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

• 📧 Email: contact@rigelbytes.com
• 📅 Book a call: Schedule an appointment

Detailed Data

[
  {
    "recordType": "store-information",
    "storeId": "9f8964e3-ad64-5f6b-8af6-e59426ee58b9",
    "storeName": "THE STEAK DÖNER",
    "url": "https://www.ubereats.com/de-en/store/the-steak-doner/n4lk461kX2uK9uWUJu5YuQ",
    "city": "Berlin",
    "address": "Spandauer Straße 4, Berlin, EMEA 10178",
    "currencyCode": "EUR",
    "isOpen": true,
    "phoneNumber": "+491736061019",
    "categories": ["Featured items", "Menü Deals", "Steak Spezialitäten", "Desserts"],
    "productCount": 38,
    "products": [
      {
        "productId": "a302409e-3e00-446e-955a-4148834b4894",
        "name": "Steak Döner im Sepzialbrot (130gr.)",
        "price": 12.0,
        "priceText": "€12.00",
        "category": "Featured items"
      }
    ]
  },
  {
    "recordType": "product",
    "productId": "9e907c44-0435-4b2b-a131-4d43fffaf366",
    "name": "Madras Rasam",
    "description": "Indische Linsensuppe.",
    "price": 5.5,
    "priceText": "€5.50",
    "category": "Suppe",
    "storeName": "Asman Tandoor Club",
    "searchQuery": "pizza",
    "deliveryLocation": "Berlin, Germany"
  }
]