Uber Eats Scraper — Menus, Item Prices & Ratings | API
Pricing
from $96.03 / 1,000 menu scrapeds
Uber Eats Scraper — Menus, Item Prices & Ratings | API
Scrape any **Uber Eats** restaurant menu into FLAT rows — one row per item with **price at the top level**, plus store rating, cuisine, address & phone on every row. No nested digging, no browser. Reliable residential-proxy access. Priced per menu — well below per-menu incumbents.
Pricing
from $96.03 / 1,000 menu scrapeds
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Developer
Vitalii Bondarev
Maintained by CommunityActor stats
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1
Monthly active users
17 minutes ago
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Uber Eats Menu Scraper 🍔
Turn any Uber Eats restaurant page into a clean, flat menu table — one row per item with the price right at the top level. No nested JSON to dig through, no browser, no manual copy-paste.
What you get (one row per menu item)
| field | description |
|---|---|
restaurant_name | Store / restaurant name |
section | Menu section breadcrumb (e.g. Breakfast > Featured items) |
item_name | Menu item name |
price_usd | Item price, top-level number (no nested offers.price) |
price_currency | Currency code (e.g. USD) |
description | Item description |
image_url | Item photo |
rating / num_ratings | Store rating + review count (repeated on every row) |
cuisine | Cuisine tags |
price_range | Store price range (e.g. $$) |
phone, address, city, state, zip, country | Store location & contact |
store_url, source_url | Links |
parse_confidence, warnings | Structural-drift signal — you never pay for a broken parse |
scraped_at | UTC timestamp |
How to use
- Open a restaurant on ubereats.com and copy the
page URL (
https://www.ubereats.com/store/{name}/{id}). - Paste one or more URLs into Store URLs.
- Run. You get a flat table of every menu item with its price.
Input
- Store URLs — list of Uber Eats
/store/URLs. - Max Menus — cap on number of menus (0 = unlimited).
- Delay between requests — politeness delay (default 1.5s).
- Proxy — Apify RESIDENTIAL by default (recommended for reliable access).
Pricing & reliability
- Billed per menu (one charge per restaurant successfully scraped), no matter how many items the menu has — far cheaper than tools that meter the same per-menu unit at a premium.
- You never pay for a failed parse: if the menu structure drifts, rows are
returned with a low
parse_confidenceand the menu is not charged. - Reliable access via residential proxy; runs entirely on the Apify platform.
More scrapers from our toolkit
Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:
- Vinted Marketplace
- Allegro Offers
- Amazon Products Scraper
- Autoscout24 Cars Scraper
- Competitor Price Monitor
- Craigslist Scraper
Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.
