Food Data Scraping API — Turn Every Menu Into Data

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.

Learn More Get Started
40+delivery platforms covered
200M+menu items tracked monthly*
98.5%field-level accuracy*
Live extraction feed
sample preview
Menu item
Platform
Status
Price
syncing…

*Illustrative figures — final numbers are scoped to your project during onboarding.

Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot
ClutchGoodFirmsTrustpilotCrunchbase

Restaurant / menu page

A listing, menu, or search result page

Extraction engine

Rendering, proxies, CAPTCHA handling

Normalization

Schema validation, currency & unit mapping

Your systems

API, warehouse, or webhook

What a food scraping API actually does

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.

Built for teams that watch the food delivery market for a living

Core capabilities

Menu item extraction

Pull a restaurant's full menu — item names, descriptions, prices, categories, and modifiers.

Restaurant profile scraping

Cuisine type, location, hours, delivery radius, and overall ratings for a listing.

Delivery & fee data

Delivery fee, service fee, minimum order value, and estimated delivery time per listing.

Review & ratings extraction

Review text, star ratings, and recurring food-quality or delivery-experience mentions.

Bulk & scheduled jobs

Submit thousands of restaurant URLs at once, or set a recurring refresh interval.

Historical menu & price tracking

Snapshot menus over time to see what was added, removed, or repriced.

The full data-field set

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

What the data looks like across platforms

Three menu items from three different delivery platforms. Values below are illustrative.

ubereats.com
RDA-FD-0038112

Margherita Pizza, 12"

$14.99
Rating4.7 (1,204)
StatusAvailable
Delivery fee$2.49
swiggy.com
RDA-FD-0041980

Chicken Tikka Biryani

$6.80
Rating4.5 (860)
StatusLimited — 10 left today
Est. delivery28–35 min
doordash.com
RDA-FD-0052207

Iced Matcha Latte, 16oz

$5.25
Rating4.3 (312)
StatusAvailable
Min. order$10.00
{
  "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"
}

Call it from wherever you build

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.

How it works

01

Submit a request

A restaurant URL, cuisine search, location, or menu page — via API call or bulk upload.

02

We fetch the page

Rotating residential and datacenter IPs, app-aware rendering and CAPTCHA handling run behind the scenes.

03

Raw content is parsed

Menu sections, prices, and modifiers are mapped into a structured field set per platform.

04

Data is validated and normalized

Currencies, categories, and dietary tags are standardized across platforms.

05

Output is delivered

As JSON or CSV, or pushed to your webhook, cloud storage, or database.

Extract country-wise food data

IN

India

Delivery formats & where the data lands

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.

What teams build with it

Pricing

Dynamic menu pricing

Adjust your own menu prices based on what competitors charge for comparable dishes across apps.

Monitoring

Competitor menu tracking

Get notified when a competitor adds, removes, or reprices a menu item.

Expansion

Ghost kitchen market research

Assess demand, pricing, and delivery times in a neighborhood before opening a new location.

Operations

Delivery time benchmarking

Compare estimated delivery times across competitors and platforms in the same area.

Product

Review sentiment on food quality

Mine review text to spot recurring praise or complaints about specific dishes.

Aggregation

Catalog enrichment

Enrich your own delivery platform's listings with cross-platform pricing and menu benchmarks.

Building this in-house vs. using our API

In-house scraping team
Real Data API
Time to first dataset
Weeks to months
Days
Handling app-based rendering & CAPTCHAs
Built and maintained by you
Included
Upkeep when menu layouts change
Ongoing engineering time
Handled for you
Scaling to new delivery platforms
New build per platform
Add to existing pipeline
Core engineering focus
Split with scraping upkeep
Stays on your product

Plans that scale with your coverage

Exact pricing depends on platforms, cities, and refresh frequency — these tiers describe how engagements are typically structured.

Starter

Self-serve API

  • Single delivery platform
  • Standard field set
  • Daily or weekly refresh
  • Email support
Talk to sales
Growth

Multi-platform, multi-city feed

  • Multiple platforms & cities
  • Custom fields on request
  • Hourly or real-time refresh
  • Webhook & cloud delivery
  • Priority support
Start a pilot
Enterprise

National / chain-scale deployment

  • Thousands of restaurant locations
  • Dedicated pipeline & support
  • Custom SLA & contract terms
  • Direct database integration
Request a quote

Accuracy, scale, and how we handle data responsibly

Support & service commitments

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.

Getting started

01

Tell us what you need

The platforms, cities, and data fields that matter for your business.

02

We scope a pilot

Typically a sample dataset from 2–3 target restaurants or platforms within 2–5 business days.

03

Review the sample

Adjust fields or frequency until the data matches what you need.

04

Move to production

Your feed goes live on the delivery method and schedule you choose.

Country-wise coverage

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.

Restaurant marketing lead, multi-location quick-service chain

Illustrative placeholder — swap in a verified client quote before publishing.

Questions, answered

How often do menu prices change, and can the feed keep up?

Refresh frequency is configurable down to hourly or real-time for fast-moving categories, so price and availability changes are picked up quickly.

Can you track multiple locations of the same restaurant chain separately?

Yes. Each location's listing is tracked and reported as its own record, so you can compare pricing and availability location by location.

Do you capture delivery fees and surge pricing?

Yes, where the platform exposes them — delivery fee, service fee, and surge or peak-pricing indicators are part of the standard field set.

What happens when a restaurant is temporarily closed on the platform?

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.

Can you scrape a delivery platform that isn't on your list?

In most cases, yes — new platform integrations are scoped case by case depending on how the app or site is built.

How is pricing structured?

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.

Contact Us

We are eagerly waiting to hear you.

Chat with Us

Take to our Social Experts, who are at your service 24x7 worldwide.

Email Us

Drop us an email at sales@realdataapi.com and you'll receive a reply within 24 hours!

Give us a Call

Want to talk? Our support staff on +91 8866656657 is at your service 24x7 support worldwide.

Brand Image
▼
Real Data API stands out as one of the premier global companies specializing in web data Scraping and web extraction.
Get in Touch
+91 8866656657 sales@realdataapi.com 60 Paya Lebar Rd, #11-22 Paya Lebar Square, PMB 1010, Singapore 409051

Web Data

Live Crawler Scraping Browser API Anti Blocking Web Unlocker API Use Cases Web Scraping Enterprise Web Crawling Web Scraping API Services Mobile App Scraping Services

Store Location

Company

About Us FAQs Contact Us

By APIs

Ecommerce Scraping API Food Scraping API Q-Commerce Scraping API Grocery Scraping API Travel Scraping API Real Estate Scraping API Social Media Scraping API OTT Scraping API Liquor Scraping API Recruitment Scraping API Healthcare Scraping API Fashion Scraping API

Scraper

Amazon Product Scraper AliExpress Scraper Google Shopping Scraper Zomato Scraper Swiggy Scraper E-Commerce Scraper Blinkit Scraper Flipkart Scraper Twitter Scraper eBay Scraper Zepto Scraper Airbnb Scraper Booking Scraper Tiktok Scraper Reddit Scraper

Use Cases

Price Comparison Market Research Robotic Process Automation (RPA) Product Development Lead Generation Machine Learning

Datasets

E-Commerce Datasets Food Datasets Travel Datasets Real Estate Datasets Grocery Datasets Liquor Datasets Fashion Datasets

Knowledge Center

Blogs

Web Scraping Python Web Scraping PHP Web Scraping Java Web Scraping Ruby Web Scraping Rust Web Scraping in Go Web Scraping in Elixir Web Scraping with R Web Scraping with C# Web Scraping JS and Node.js
Case Studies
Research Report
Infographics
clutch
clutch
clutch
clutch
clutch
clutch

About Us

Contact us

© 2026 RealdataAPI. All rights reserved.

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.

INQUIRE NOW