🍴 Uber Eats Scraper [PPR]

Fast, cost-effective Uber Eats scraper that turns a search query + location — or a list of store URLs — into clean, structured store and menu data. Built for scale, with an automatic anti-block proxy ladder and pay-per-result pricing, so you only pay for stores you actually get.

✨ Why Choose Us?

• 🎯 Two ways to scrape — search by address (+ optional query) or paste store URLs directly.
• 🛡️ Self-healing connection — starts direct (cheapest), and only escalates to datacenter → residential proxies when Uber Eats blocks. No fiddly config.
• 🍕 Deep menu data — full menu sections, items, prices, images, and optional customizations (modifiers / add-ons).
• ⚡ Live results — every store is saved the instant it's collected; a crash never loses progress.
• 💸 Pay per result — billed per store, not per minute.

🔑 Key Features

Feature	Description
📍 Address search	Find stores near any address, optionally filtered by query
🏪 Store verticals	Restaurants, grocery, convenience, pharmacy, alcohol, retail & more
🔗 URL mode	Scrape specific Uber Eats store pages in bulk
🍔 Menu extraction	Sections, items, prices, availability, tags, images
🧩 Customizations	Optional full modifier/add-on trees per item
⭐ Reviews & ratings	Store rating, review count, featured reviews
🛡️ Proxy fallback	Direct → Datacenter → Residential, sticky once escalated
🌐 55+ locales	Scrape Uber Eats across the US, EU, LATAM, APAC and more

📥 Input

Choose one mode. If urls is provided, address and query are ignored.

{
  "locale": "en-US",
  "address": "1600 Pennsylvania Avenue, Washington DC",
  "query": "Pizza",
  "storeType": "RESTAURANTS",
  "maxRows": 10,
  "urls": [],
  "getMenuCustomizations": false,
  "proxyConfiguration": { "useApifyProxy": true },
  "concurrency": 5,
  "maxRetries": 3
}

Field	Type	Description
locale	string	Uber Eats locale, e.g. en-US, fr-FR. Applies to both modes.
address	string	Delivery address to search around (search mode).
query	string	Optional search term (cuisine, brand, dish).
storeType	string	Vertical tab: ALL, RESTAURANTS, GROCERY, PHARMACY, …
maxRows	integer	Max stores in search mode (0 = all).
urls	array	Uber Eats store URLs to scrape directly (bulk).
getMenuCustomizations	boolean	Fetch full customization trees per item.
proxyConfiguration	object	Apify Proxy used for the datacenter → residential fallback.
concurrency	integer	Stores scraped in parallel (1–20).
maxRetries	integer	Retries per blocked request (1–10).

📤 Output

Each dataset item is one store:

{
  "title": "District Detroit Pizza",
  "sanitizedTitle": "District Detroit Pizza",
  "phoneNumber": "+12025551234",
  "emails": [],
  "cuisineList": ["Pizza"],
  "location": { "address": "…", "city": "Washington", "country": "US", "latitude": 38.9, "longitude": -77.0 },
  "currencyCode": "USD",
  "rating": { "ratingValue": 4.8, "reviewCount": "260+" },
  "storeAvailablityStatus": "AVAILABLE",
  "isOpen": true,
  "etaRange": "Delivered in 20 to 30 min",
  "hours": [ … ],
  "categories": ["$", "Pizza"],
  "categoriesLink": [ … ],
  "menu": [ { "catalogName": "Pizzas", "catalogItems": [ … ] } ],
  "logoImageUrl": "https://…",
  "heroImageUrl": "https://…",
  "uuid": "…",
  "url": "https://ubereats.com/store/…",
  "merchantType": "MERCHANT_TYPE_RESTAURANT",
  "distance": { "text": "2.2 mi", "accessibilityText": "2.2 miles" },
  "supportedDiningModes": [ … ],
  "storeReviews": [ … ],
  "featuredReviews": [ … ]
}

🚀 How to Use (Apify Console)

1. Log in at console.apify.com → Actors.
2. Open 🍴 Uber Eats Scraper [PPR].
3. Either enter an address (and optional query + store type), or paste store URLs.
4. Click Start.
5. Watch stores stream into the Output tab in real time.
6. Export to JSON / CSV / XLSX / Excel when the run completes.

🤖 Use via API

curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"address":"1600 Pennsylvania Avenue, Washington DC","query":"Pizza","storeType":"RESTAURANTS","maxRows":10}'

🎯 Best Use Cases

• 📊 Competitor menu & price monitoring
• 🍽️ Restaurant & store discovery / market research
• 📈 Lead lists of local merchants by category and area
• 🗺️ Delivery coverage and ETA analysis across locations

💰 Pricing

Pay per result — you are billed a flat price for each store written to the dataset (the apify-default-dataset-item event). No charge for stores that fail to collect. Failed targets never cost you anything; partial runs still return everything collected so far.

❓ FAQ

Do I need a proxy? No. The scraper starts direct and only uses Apify Proxy if Uber Eats blocks it.

Search returns fewer than maxRows? Uber Eats only lists so many stores for a given area/query — that's the ceiling, not a bug.

Why are some menus empty? Some stores (e.g. certain alcohol/convenience listings) expose no public catalog; the store record is still returned.

Which countries are supported? Anywhere Uber Eats operates — pick the matching locale (55+ supported).

🛟 Support & Feedback

Open an issue on the Actor's Issues tab in Apify Console with your run ID and input, and we'll take a look.

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Data is collected only from publicly available Uber Eats pages. You are responsible for compliance with applicable laws and Uber's Terms of Service.