Comprehensive Food Data Scraper API – Power Smarter Decisions with Real-Time Insights

Explore Foodspark’s range of Food Data APIs designed to help businesses collect, analyze, and leverage structured food, menu, and restaurant data. From delivery platforms to grocery stores, our APIs provide real-time, accurate insights for pricing analysis, market research, and competitive intelligence — empowering smarter strategies and growth in the food industry.

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Subway API

Access Subway API for menu, pricing, locations, and reviews with reliable food API solutions.

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Starbucks API

Get Starbucks API for store locations, drinks, menu, and offers powered by advanced food API integration.

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McDonald’s API

Use McDonald’s API to fetch menu, deals, locations, and customer insights with scalable food API.

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Dunkin API

Unlock Dunkin API for coffee menu, prices, reviews, and store data using fast food API solutions.

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Taco Bell API

Access Taco Bell API for menu items, nutrition, and locations through advanced food API services.

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Burger King API

Burger King API delivers menus, offers, and locations, integrated easily with food API solutions.

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Domino’s API

Domino’s API for pizza menus, deals, locations, and delivery insights powered by food API integration.

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Pizza Hut API

Fetch Pizza Hut API data on menu, pricing, and nearby outlets using reliable food API.

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Wendy’s API

Access Wendy’s API for burgers, deals, menu, and store data with comprehensive food API integration.

Instamart API

Swiggy API

Extract restaurant data, menus, reviews, and ratings from Swiggy.

Review API​

Access and manage business reviews from multiple online sources.

Review API​

Access and manage business reviews from multiple online sources.

Pappasito’s Cantina API

Pappasito’s Cantina API provides structured restaurant, menu, and delivery data to power apps, analytics, and food delivery insights.

Le Pain Quotidien API

Le Pain Quotidien API provides structured restaurant, menu, and delivery data to power apps, analytics, and food delivery insights.

The Melting Pot API

The Melting Pot API provides structured restaurant, menu, and delivery data to power apps, analytics, and food delivery insights.

Donatos Pizza API

Donatos Pizza API provides structured restaurant, menu, and delivery data to power apps, analytics, and food delivery insights.

Lazy Dog API

Lazy Dog API provides structured restaurant, menu, and delivery data to power apps, analytics, and food delivery insights.

FoodSpark’s food data API gives you clean restaurant, menu and delivery data from 499+ ready-made APIs. For example, you can pull menus and fees from DoorDash, Uber Eats and Swiggy. You can also collect US restaurant menus from Allmenus and reviews from Yelp. Then you get the data as JSON, CSV or a live API feed. As a result, your team never has to build or fix a scraper.

In short, you get:
  • Delivery app data: restaurants, menus, prices, fees, ratings and quoted delivery times
  • Menu data: dishes, descriptions, prices, sizes and add-ons
  • Restaurant and chain data: locations, opening hours, ratings and reviews
  • Flexible delivery: a one-off dataset, a scheduled feed or live API access
Looking for supermarket or quick commerce data instead? Then see our separate grocery data API page. Most teams start with one of the platforms below, so we list them first. Each link also opens a dedicated page with fields and use cases.
APIWhat you get
Allmenus APIUS restaurant menus, prices, cuisines and locations
DoorDash APIRestaurants, menus, prices, fees and ratings
Uber Eats APIMenus, prices, delivery fees and promotions
Grubhub APIRestaurants, menus and reviews
Swiggy APIIndian restaurants, menus, offers and ratings
Zomato APIRestaurants, menus, reviews and ratings in India
Deliveroo APIRestaurants, menus, fees and offers in the UK and Europe
Just Eat APIRestaurants, menus and ratings in the UK and Europe
Yelp APIRestaurant ratings, reviews and business details
Need another source? Then browse the full grid of 499+ APIs below, or filter it by country. In addition, every API in the food data API library uses the same clean field names. So you can join data from several apps without extra work.

Food Delivery API for DoorDash, Uber Eats, Swiggy and More

Our food delivery API collects public data from the delivery apps your customers use. For instance, you can see which restaurants deliver to a postcode and what they charge. You also see their promised delivery times. Because the food data API pulls from many apps at once, you can compare the same restaurant across platforms.
RegionDelivery apps we cover
USADoorDash, Uber Eats and Grubhub
UK and EuropeDeliveroo, Just Eat and Glovo
IndiaSwiggy and Zomato
Southeast Asiafoodpanda and Grab
So why not use the apps’ own APIs? Most delivery apps do offer APIs, but only to their partners. However, those partner APIs show your own stores and orders, not the market. By contrast, the food data API shows every listed restaurant, menu and fee in the areas you choose.Need the whole job done for you? Then see our food delivery data scraping service, which covers custom apps and one-off projects too.

Restaurant Menu API and Restaurant Data

A restaurant menu API turns messy online menus into clean rows. Each item then comes with its name, description, price, size and add-ons. In addition, we capture dietary tags and calories wherever the menu shows them.Restaurant data, on the other hand, adds the details around each menu. For example, you get the address, latitude, longitude, phone number, opening hours and cuisine. You also get ratings, review counts and price ranges from listing sites.We collect this data from:
  • Menu directories: Allmenus and restaurant websites
  • Review sites: Yelp and Google reviews
  • Delivery apps: every platform listed in the section above
  • Chain websites: store locators and official menus for large brands
The food data API keeps each menu item linked to its restaurant ID, too. As a result, you can track menu changes, new dishes and price moves over time. For a deeper guide, also see our restaurant menu API page.

Restaurant Reviews and Ratings API

Reviews show how diners feel about a restaurant, a dish or a delivery. Our reviews API collects star ratings, review text and review dates from public pages. In addition, it captures review counts and owner replies wherever they appear.
SourceReview data you get
Google reviewsRatings, review text, dates and owner replies
YelpRatings, reviews, price range and business details
GrubhubRestaurant ratings and diner reviews
Delivery appsRatings and review counts for each restaurant
For example, a chain can track ratings across hundreds of branches in one feed. Meanwhile, a brand team can spot common complaints about a dish early. Because the food data API links each review to its restaurant ID, you can also compare branches, cities and platforms.Need a managed review project instead? Then see our reviews scraping service.

Food Price API and Fast Food API

A food price API tracks what food costs, and how that changes over time. With the food data API, you can follow menu prices, delivery fees and promotions on one schedule. You can also compare the price of a dish in the app with its in-store price.Teams often use it to:
  • Watch rivals: see when a competitor raises prices or runs a promotion
  • Check markups: compare app prices with in-store menu prices
  • Follow inflation: track the price of the same dishes by city every month
  • Audit promotions: confirm whether a “deal” is a real discount
Our fast food API focuses on large chains. For example, it covers McDonald’s, Burger King, Domino’s, Starbucks and Subway. You get menus, prices, deals and store locations for each chain. Then you can compare one chain’s prices across cities, states or countries.Want alerts rather than raw data? Our competitor price monitoring service sends them for you instead.

Free Food Data API Sample: Test Before You Buy

Many people search for a free food API or a free restaurant API. Some open databases do offer free APIs, such as Open Food Facts and USDA FoodData Central. However, they cover product and nutrition facts, not live menus, fees or prices.So for live market data, the food data API is the better fit. That is why we offer a free sample instead of a free plan. Here is how it works:
  1. Tell us the platform, city and fields you need.
  2. Then we send sample records in your chosen format.
  3. Finally, you check the fields, coverage and quality before you pay anything.
Button: Get a Free Sample

Data Fields in the Food Data API

Every record in the food data API follows the same structure. As a result, you can load it into your tools without cleaning it first.
Field groupExample fields
RestaurantName, address, latitude, longitude, cuisine, rating, review count and opening hours
MenuItem name, description, price, size, add-ons and dietary tags
DeliveryDelivery fee, service fee, minimum order, quoted delivery time and promotions
ReviewsStar rating, review text, review date and owner reply
MetadataSource URL, platform, city, postcode and collection time

Sample Record

Below is a shortened menu record. The values are examples only.
				
					{
  "platform": "doordash",
  "restaurant_id": "dd_102938",
  "restaurant_name": "Sample Burger Co.",
  "city": "Houston",
  "postcode": "77043",
  "item_name": "Classic Cheeseburger",
  "item_price": 9.49,
  "currency": "USD",
  "delivery_fee": 2.99,
  "quoted_delivery_time_min": 25,
  "rating": 4.6,
  "review_count": 1240,
  "collected_at": "2026-10-06T09:00:00Z"
}
				
			

Formats and Delivery

You can get the data as JSON, CSV, Excel or XML. In addition, we can push it to a database, cloud storage or your own endpoint. Refresh rates range from real-time and daily to weekly, monthly or a custom schedule.

How the Food Data API Works

Getting started takes five simple steps:
  1. Share your needs: tell us the sources, cities and fields you want.
  2. Review a sample: check a free sample before you commit.
  3. Set up the feed: we configure the crawlers, schedule and quality checks.
  4. Receive data: get files on schedule or call the API when you need it.
  5. Stay covered: we fix the crawlers whenever a site changes.

Why Not Build Your Own Scraper?

At first, an in-house scraper looks cheap. However, delivery apps and restaurant sites change their layouts often, and they block heavy traffic. So your team ends up fixing scrapers instead of using the data.With the food data API, we handle that upkeep for you. In addition, we clean the data, remove duplicates, and check for missing values. We also collect only public data, never personal or login-protected information.

Food Data API Coverage by Country

The food data API covers delivery apps, restaurant directories and chains in more than 20 countries. Each country page lists its local sources and fields.
RegionCountry pages
North AmericaUSA and Canada
EuropeEurope, UK and Belgium
South AsiaIndia
Southeast AsiaIndonesia, Malaysia and Singapore
East AsiaChina and South Korea
Middle EastUAE
Oceania and Latin AmericaAustralia and Brazil
Don’t see your market? Just ask, because we build new country feeds on request.

Food Data API: Frequently Asked Questions

What is a food data API?

A food data API gives your software structured food data on demand. For example, that includes menus, prices, delivery fees, ratings and reviews. So your apps and dashboards always work with fresh data.

Which platforms does the food data API cover?

It covers 499+ sources, including DoorDash, Uber Eats, Grubhub, Swiggy, Zomato, Deliveroo, and Allmenus. It also covers review sites like Yelp and chains like McDonald’s and Starbucks. If a source is missing, we can add it.

Is there a free food data API?

Open databases like Open Food Facts are free, but they lack live prices and menus. Instead, FoodSpark offers a free sample, so you can test real records first.

Can I get restaurant menu data for a whole city?

Yes. You choose the city, postcode or radius, and we collect every listed restaurant and menu there. You can also filter by cuisine, chain or rating.

Do you also offer a grocery data API?

Yes, but grocery data has its own page. Our grocery data API covers supermarket and quick commerce prices, promotions and stock.

How fresh is the data?

That depends on your plan. Refresh rates range from real-time and daily to weekly or monthly. Each record also shows when it was collected.

Which formats do you support?

We deliver JSON, CSV, Excel, and XML, as well as live API access. We can also push data to your database or cloud storage.

Can I use the data for AI models and dashboards?

Yes. The data works well for AI models, BI dashboards, and demand forecasts. Because the fields stay consistent, the data loads cleanly every time.

Is the data legally sourced?

We collect only publicly available data, such as menus, prices, ratings, and availability. In other words, we never collect personal or login-protected information.

How is FoodSpark different from an in-house scraper?

We maintain the crawlers when sites change or block traffic. Meanwhile, your team simply receives clean, ready-to-use data on schedule.

Food Data API: Frequently Asked Questions

COMMON QUERIES

Before You Decide to Get Data for Your Business, Have a look at commonly asked questions and their answers

We can extract restaurant data, menu items, food prices, grocery products, reviews, ratings, offers, delivery fees, stock availability, locations, and platform-specific food data.

Yes, data can be collected from food delivery apps, grocery platforms, restaurant listing sites, quick commerce apps, and food aggregator platforms based on your business needs.

Yes, custom datasets can be prepared by country, city, platform, cuisine, product category, restaurant type, grocery category, or any required data field.

Yes, real-time and scheduled food data APIs are available for businesses that need fresh pricing, availability, menu, review, and delivery data.

Common fields include restaurant name, menu item, price, discount, rating, review count, address, latitude, longitude, cuisine, product name, stock status, delivery time, and source URL.

Data can be delivered in CSV, Excel, JSON, XML, API, database-ready format, cloud storage, or any custom format required by your team.

Yes, businesses can use this data to monitor competitor prices, track discounts, compare menus, analyze product availability, and identify market trends across platforms.

Data is cleaned, structured, validated, and checked for duplicate or missing values. Refresh frequency can be set as real-time, daily, weekly, monthly, or custom.

Yes, structured food data can be used for AI model training, business intelligence dashboards, pricing analysis, demand forecasting, market research, and competitor intelligence.

Yes, sample data can be provided so you can review the structure, fields, format, and quality before starting a custom data project.

Yes. We only collect publicly available listing data — menus, prices, ratings, availability — and never personal or login-protected information. We also support takedown and correction requests.

Unlike an in-house scraper, we handle all the maintenance — site changes, anti-bot blocks, format updates — so you always get clean, ready-to-use data without the upkeep.

Foodspark FAQs