Leverage our Food Data Scraping API to access structured, continuously updated food and restaurant data at scale. Collect menus, prices, ratings, availability, locations, and promotional information for market analysis, pricing intelligence, and data-driven applications.
*Illustrative figures — final numbers are scoped to your project during onboarding.
A listing, menu, or search result page
Rendering, proxies, CAPTCHA handling
Schema validation, currency & unit mapping
API, warehouse, or webhook
Instead of manually opening restaurant pages across delivery apps, you send a request — a restaurant URL, a cuisine or location search, or a specific menu page — and get back clean, structured data covering everything on it: menu items, prices, modifiers, availability, delivery fees, and ratings. The app rendering, proxy rotation, and menu-layout parsing all happen behind the API; you just call an endpoint and receive data.
Pull a restaurant's full menu — item names, descriptions, prices, categories, and modifiers.
Cuisine type, location, hours, delivery radius, and overall ratings for a listing.
Delivery fee, service fee, minimum order value, and estimated delivery time per listing.
Review text, star ratings, and recurring food-quality or delivery-experience mentions.
Submit thousands of restaurant URLs at once, or set a recurring refresh interval.
Snapshot menus over time to see what was added, removed, or repriced.
Field availability varies slightly by platform. Anything outside this standard set — loyalty pricing, upsell prompts, kitchen prep-time estimates — can be added as a custom field.
| Category | Fields |
|---|---|
| Restaurant identity | Restaurant name, restaurant URL, restaurant ID, cuisine type(s), chain/franchise flag, address, coordinates |
| Menu details | Item name, item description, category/section, price, modifiers/add-ons, combo pricing, dietary tags (vegan, halal, gluten-free) |
| Availability | Item availability status, restaurant open/closed status, operating hours, temporary closure flag |
| Delivery & fees | Delivery fee, service fee, minimum order value, estimated delivery time, delivery radius, surge/peak pricing flag |
| Ratings & reviews | Average rating, total review count, review text, review date, food-quality mentions, delivery-experience rating |
| Media | Cover photo, menu item images, restaurant logo |
| Promotions | Active discount/coupon, free-delivery threshold, combo deal details |
| Platform metadata | Platform name, last-scraped timestamp, currency, region |
Three menu items from three different delivery platforms. Values below are illustrative.
{
"menu_item_id": "RDA-FD-0038112",
"item_name": "Margherita Pizza, 12in",
"restaurant": {
"name": "Bella Notte Pizzeria",
"cuisine": ["Italian", "Pizza"],
"rating": 4.7,
"review_count": 1204
},
"price": { "currency": "USD", "amount": 14.99 },
"availability": "Available",
"delivery": { "fee": 2.49, "estimated_minutes": 32 },
"platform": "ubereats.com",
"scraped_at": "2026-09-17T18:12:04Z"
}A single request returns a structured menu-item record. Below is the same call in three languages.
# Fetch a restaurant's menu
curl -X POST https://api.realdataapi.com/v1/food/menu \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.ubereats.com/store/example-restaurant"}'import requests
resp = requests.post(
"https://api.realdataapi.com/v1/food/menu",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"url": "https://www.ubereats.com/store/example-restaurant"}
)
data = resp.json()
print(data["items"][0]["price"])const res = await fetch("https://api.realdataapi.com/v1/food/menu", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({ url: "https://www.ubereats.com/store/example-restaurant" })
});
const data = await res.json();Endpoint and key format above are illustrative — your onboarding call includes real credentials and the current endpoint reference.
A restaurant URL, cuisine search, location, or menu page — via API call or bulk upload.
Rotating residential and datacenter IPs, app-aware rendering and CAPTCHA handling run behind the scenes.
Menu sections, prices, and modifiers are mapped into a structured field set per platform.
Currencies, categories, and dietary tags are standardized across platforms.
As JSON or CSV, or pushed to your webhook, cloud storage, or database.
| Format | Best for |
|---|---|
| REST API (JSON) | Live, on-demand lookups embedded in your application |
| CSV / Excel export | Analysts and teams working in spreadsheets |
| Webhook push | Event-driven pipelines reacting to menu or price changes |
| Cloud storage drop (S3, GCS, Azure Blob) | Scheduled bulk feeds into a data warehouse |
| Direct database load | Data landing straight into PostgreSQL, MySQL, or Snowflake |
Commonly connected downstream to: Google Sheets, BigQuery, Snowflake, POS/menu-management tools, and Zapier-style automation.
Adjust your own menu prices based on what competitors charge for comparable dishes across apps.
Get notified when a competitor adds, removes, or reprices a menu item.
Assess demand, pricing, and delivery times in a neighborhood before opening a new location.
Compare estimated delivery times across competitors and platforms in the same area.
Mine review text to spot recurring praise or complaints about specific dishes.
Enrich your own delivery platform's listings with cross-platform pricing and menu benchmarks.
Pricing depends on platforms, cities, and refresh frequency. Pick the route that fits your coverage, and we'll scope the details with you.
Start analysing menus today, with no collection to set up.
Build live menu and price data into your own tools.
For large chains and requirements that need scoping.
Preview data shown is illustrative. Final scope is agreed during onboarding.
Uptime targets, response times, and escalation paths are defined per contract and scale with plan tier — Growth and Enterprise engagements include priority support and a named point of contact. All plans include monitoring for extraction failures, so a broken feed gets flagged before it affects your downstream systems.
The platforms, cities, and data fields that matter for your business.
Typically a sample dataset from 2–3 target restaurants or platforms within 2–5 business days.
Adjust fields or frequency until the data matches what you need.
Your feed goes live on the delivery method and schedule you choose.
We maintain dedicated scraping coverage across major regional food delivery platforms — Uber Eats and DoorDash in the US, Swiggy and Zomato in India, Deliveroo and Just Eat in the UK and Europe, Talabat in the Middle East, and more. Visit our country-specific food data pages for the full platform list in your target market.
We used to check five apps by hand every morning to see if our prices still matched. Now the feed just tells us the moment something's off across any location.
Illustrative placeholder — swap in a verified client quote before publishing.
Refresh frequency is configurable down to hourly or real-time for fast-moving categories, so price and availability changes are picked up quickly.
Yes. Each location's listing is tracked and reported as its own record, so you can compare pricing and availability location by location.
Yes, where the platform exposes them — delivery fee, service fee, and surge or peak-pricing indicators are part of the standard field set.
The closure status is captured as a field on the record, so you can distinguish a temporary closure from an item simply being sold out.
In most cases, yes — new platform integrations are scoped case by case depending on how the app or site is built.
Pricing depends on the number of platforms, cities, and fields you need. Most engagements start with a scoped pilot so you can see real output before agreeing on a plan.
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Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.
