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Uber Eats Scraper [Only $2/1K💰] | Menus | Restaurant Data
Pricing
from $1.90 / 1,000 restaurants
Scrape Uber Eats restaurant data — full menus with prices, ratings, cuisines, hours and delivery info via Uber's internal JSON API. No browser, no API key. $0.002/restaurant.
Free-text place to search, e.g. "Chicago, IL", "Berlin", "Soho, London". Geocoded to coordinates via Open-Meteo. Ignored when latitude and longitude are both supplied.
Explicit latitude. Provide together with longitude to skip geocoding.
Explicit longitude. Provide together with latitude to skip geocoding.
Two-letter country code used to disambiguate the geocoded address, e.g. "us", "gb", "de".
Keyword restaurant search, e.g. "sushi". Leave empty to browse the plain location feed.
Run several keyword searches in one run, e.g. ["sushi", "pizza"]. These take precedence over Search query and are all capped by maxItems in total.
[]Direct restaurant URLs to scrape, e.g. https://www.ubereats.com/store/jessies-breakfast/UAVHGNSBQCeqhKzEtis3SQ. When set, the search inputs are ignored.
[]Store UUIDs or full store URLs to skip, even if they appear in search results. Useful to avoid re-scraping stores you already have.
[]Restrict the feed to a store type, e.g. "uber_eats", "grocery", "alcohol". Leave empty for all types.
Hard cap on restaurants returned. Free users are capped at 10 regardless of this value.
Expand each restaurant into menuSections and menuItems (name, description, price, image, availability), plus a per-store analytics block.
Cap on menu items kept per restaurant. Duplicate items across promotional carousels are deduplicated.
How many pages of the search feed to fetch per search query. Each page yields roughly 80 restaurants. Uber Eats itself caps the feed at 500 results per location.
Collect the public review sample and write it to a separate per-run reviews dataset, one row per review. Uber Eats only exposes a small sample of reviews (often 1-3, occasionally up to ~28 on some US stores) - this is not the total ratings count.
Cap on reviews kept per restaurant, applied after the reviewsSince filter. Set to 0 for no cap.
Only return reviews with createdAt >= this date, e.g. "2025-01-01". Use it for cheap incremental scheduled runs so you are not re-charged for reviews you already have. Leave empty for all reviews.
Uber Eats locale code, e.g. "us", "gb", "de", "fr", "au", "ca".
DELIVERY or PICKUP. Controls the ETA and fee context returned by the store endpoint.
Maximum number of restaurants fetched in parallel. Lower this if you hit rate limits.
Lower bound of the autoscaled concurrency range.
How many times a failed request is retried before the store is skipped.
Proxy configuration for outgoing requests. Enabled by default: Uber frequently returns HTTP 403 to repeatedly-used datacenter IPs, which produces empty results. Proxy usage is billed separately by Apify at a small fraction of the per-restaurant price. Disable it only if you accept that runs may come back empty.
{ "useApifyProxy": true}