Food Data Scraping Services for Delivery Apps & Restaurants
Our food data scraping services collect menus, prices, discounts, ratings and delivery fees from DoorDash, Uber Eats, Zomato, Swiggy, Talabat and other apps. Whether you need one city or 30 countries, our food delivery data scraping delivers clean, matched data in CSV, JSON or API, so you can price and plan with confidence.
Get a Free Food Data Sample
Food Delivery Data Scraping That Helps You Win More Orders
Customers compare restaurants on the app before they order. A slightly lower price, a better offer or a faster delivery time decides who gets the order. Our food delivery data scraping gives your team a daily view of competitor menus, prices, discounts, delivery fees and ratings across DoorDash, Uber Eats, Zomato, Swiggy and Talabat. You choose the brands, cities and cuisines. We scrape food delivery data at scale and deliver it clean and matched, so your pricing, menu and growth teams act on real market numbers instead of manual app checks.
Food Delivery Data Fields We Scrape
Web scraping food delivery data captures everything a customer sees before they order: menus, item prices, offers, delivery fees, delivery times, ratings, and reviews, structured by restaurant, dish, and location, ready for your pricing and analytics tools.
{
"restaurant": "Brick Lane Burger Co.",
"cuisine": "Burgers, American",
"postcode": "10002",
"rating": 4.6,
"rating_count": 1240,
"item_name": "Double Smash Burger Combo",
"item_price": 14.99,
"original_price": 18.49,
"offer": "BOGO",
"delivery_fee": 1.99,
"eta_minutes": "25-35",
"bestseller": true,
"source": "delivery_app",
"scraped_at": "2026-10-27T12:00Z"
}
Restaurant Details
Who and where the restaurant is- Restaurant Name
- Restaurant URL
- Brand / Chain
- Cuisine Type
- Address
- Geo-Coordinates
- Opening Hours
- Restaurant Photos
Menu & Items
Every dish on the menu- Menu Category
- Item Name
- Item Description
- Item Photo
- Portion / Size
- Add-ons & Modifiers
- Veg / Dietary Tags
- Item Availability
- Bestseller Tag
Pricing & Offers
Every price a customer sees- Item Price
- Discounted Price
- Combo / Meal Price
- Discount Codes
- BOGO & Free Item Offers
- Minimum Order Value
- Currency
- Price Change History
Delivery Details
Fees, times and coverage- Delivery Fee
- Estimated Delivery Time
- Service & Small-Order Fees
- Delivery Zones
- Pickup Availability
- Open / Closed Status
- Subscription Delivery Perks
Reviews & Ratings
Customer satisfaction- Overall Rating
- Rating Count
- Review Text
- Review Date
- Dish-Level Ratings
- Restaurant Replies
Listing & Visibility
Where the restaurant ranks- Search Ranking Position
- Sponsored vs Organic
- Featured / Promoted Tags
- Platform / Source
- Location / Postcode
- Scrape Timestamp
Need a field that isn't listed? We build custom scrapers around your exact data requirements.
Get in TouchOur Food Delivery Data Scraping Services
Our food delivery data scraping services cover every part of the delivery market: menus, prices, offers, delivery fees, ratings and search rankings. Pick one service or combine them into a single feed for your pricing, menu and growth teams.
Menu & Price Scraping
See exactly what competitors charge for every dish, in every city. Our food data scraping services collect full menus, item prices, combo prices, add-ons and price changes from DoorDash, Uber Eats, Zomato, Swiggy and Talabat. Every item is matched across apps and locations, so you can compare like for like and spot price increases the day they happen.
Restaurant Listings Data Extraction
Build a complete, up-to-date database of every restaurant in your target market. We extract restaurant names, brands, cuisines, addresses, coordinates, opening hours and ratings from delivery apps, then remove duplicates across platforms. Use it for market sizing, expansion planning, sales prospecting or tracking new openings and closures in any city.
Offers & Discount Tracking
Know every promotion your competitors run, as soon as it goes live. Our food delivery app scraping captures discount codes, percentage-off deals, BOGO offers, free delivery promotions and minimum order values for each restaurant and location. See which brands discount most often, how deep the discounts go, and how long each campaign runs.
Delivery Fee & Delivery Time Monitoring
Delivery fees and wait times decide orders as much as menu prices do. We track delivery fees, service and small-order fees, estimated delivery times and open or closed status across zones and times of day. Spot where competitors deliver faster or cheaper, and find the zones where your brand is losing orders.
Ratings & Review Scraping
Understand what customers love and complain about, for your brand and your competitors. We collect overall ratings, rating counts, review text, dish-level ratings and review dates from delivery apps and review sites. Clean, structured reviews feed straight into your sentiment tools, quality checks and menu decisions.
Search Ranking & Visibility Tracking
Customers rarely scroll past the first few restaurants. Our food data scraping solutions track where your brand appears in app search results and category pages, including sponsored vs organic positions and featured or promoted badges. Measure how your visibility changes after a price change, new offer or ad spend, by city and by keyword.
See Competitor Menus & Prices Before They Change Yours
Tell us your brands, cities, and delivery apps. We'll send a free sample of real menu prices, offers, and delivery fees so you can check the data quality before you commit.
| DoorDash | $12.49 |
| Uber Eats | $12.99 |
| Grubhub | $13.29 ↑ |
| Delivery fee | $1.99 |
Food Delivery Apps We Scrape
Our food delivery app scraping covers 50+ platforms, from DoorDash and Uber Eats to Talabat, Zomato, and GrabFood, plus review sites and restaurant brand websites, so you can track menus and prices in every market you sell.
North America
8- DoorDash
- Uber Eats
- Grubhub
- Seamless
- Caviar
- SkipTheDishes
- ChowNow
- Slice
Europe
9- Deliveroo
- Just Eat
- Lieferando
- Thuisbezorgd
- Wolt
- Glovo
- Bolt Food
- Foodora
- Yemeksepeti
Middle East
8- Talabat
- Careem
- Noon Food
- HungerStation
- Jahez
- Keeta
- Mrsool
- Toters
India & South Asia
5- Zomato
- Swiggy
- Magicpin
- EatSure
- Foodpanda
Asia-Pacific & Latin America
12- GrabFood
- GoFood
- ShopeeFood
- Baemin
- Coupang Eats
- Demae-can
- Meituan
- Ele.me
- iFood
- Rappi
- PedidosYa
- DiDi Food
Reviews & Restaurant Sites
8- Google Maps
- Yelp
- Tripadvisor
- OpenTable
- McDonald's
- Domino's
- KFC
- Pizza Hut
Don't see your app? We build custom scrapers for any food delivery app or restaurant website. Tell us what you need
Built for Restaurants, Delivery Apps, and Food Brands
Every business in the food delivery market needs accurate data for a different reason. Whether you sell meals, run a platform, or supply ingredients, we shape each dataset around the decisions you need to make.
Restaurant Chains & QSR Brands
Compare your menu prices, offers, and delivery fees with nearby competitors in every city, and set prices that win orders without cutting into margins.
Food Delivery Platforms
Track restaurant supply, delivery fees, and promotions on rival apps, so you know where to grow and which restaurants to sign next.
FMCG & Beverage Brands
See where your products appear on restaurant menus, how they are priced, and which competitor brands sit next to them across delivery apps.
Cloud Kitchens & Virtual Brands
Find cuisines with high demand and few competitors in each delivery zone, then test prices and launch new brands with data instead of guesswork.
Investors & Consultants
Size food delivery markets, compare chains, and track openings, closures, and price trends before you invest in or advise a food business.
Market Research Firms
Build food price indexes, menu inflation reports, and cuisine trend studies from large, consistent datasets across cities and countries.
Food Data Delivered the Way Your Team Works
No new tools to learn and no messy files to clean. Our food data scraping delivers ready-to-use menus, prices, and offers in the format, channel, and schedule that fit your existing workflow.
Your Preferred Format
Structured, consistent files that open straight in your spreadsheet, database, or analytics tool.
- CSV
- Excel
- JSON
- XML
Delivered Where You Work
Data lands directly in your systems, so your team never has to download, upload, or reformat anything.
- REST API
- Amazon S3
- Google Sheets
- SFTP
On Your Schedule
Refresh prices and offers as often as your market moves, from live updates to a single historical dataset.
- Real-time
- Hourly
- Daily
- Weekly
- One-time
Quality-Checked Data
Every dataset is cleaned, validated, and matched across apps before delivery, and we monitor sources for layout changes.
- Deduplication
- Restaurant & item matching
- Validation
- Monitoring
How Our Food Data Scraping Works
From your first brief to scheduled delivery, we handle every step, so your team gets clean, matched food delivery data without building or maintaining scrapers.
Share Brands, Apps & Cities
Tell us the restaurants, brands, delivery apps, cities, and data fields you need.
01
Get a Free Sample Dataset
We send a free sample so you can check the data, fields, and format before you commit.
02
Custom Scraper Setup
We build and test scrapers for each app, matched to your locations and schedule.
03
Cleaning & Menu Item Matching
We remove duplicates and match the same restaurants and dishes across every app.
04
Scheduled Delivery
Data arrives hourly, daily, or weekly via CSV, JSON, API, S3, or Google Sheets.
05
Why Choose Xwiz for Food Data Scraping
Choosing a data partner means trusting them with the numbers behind your menu and pricing decisions. Here's why restaurant brands, delivery platforms, and food businesses rely on Xwiz for accurate, consistent food delivery data.
Get in Touch99%+ Data Accuracy
Every dataset passes validation and anomaly checks before delivery, so prices, offers, and fees match what customers actually see in the app.
Food Delivery Expertise
We understand menu structures, add-ons, combo pricing, delivery zones, and app-specific fees, so your data reflects how food delivery actually works.
Cross-App Menu Matching
We match the same restaurant and dish across every delivery app and location, so your price comparisons are always like for like.
Built to Handle Anti-Bot Systems
Rotating infrastructure and human-like request patterns keep data flowing reliably from even the most heavily protected delivery apps.
Fully Managed, Zero Maintenance
We monitor every source and fix scrapers as soon as sites change, so your data feed never breaks and your team never has to step in.
Location-Level Coverage
Prices, fees, and menus change by address. We collect data by postcode and delivery zone across 50+ apps in North America, Europe, the Middle East, and Asia.
Case Study
Trusted by Food and Restaurant Teams
How we've delivered food delivery data for clients in the USA, UK, Australia, and India. Client names are kept confidential under NDA.
A US restaurant chain needed competitor menu prices and offers from Grubhub and Seamless across its delivery markets. We delivered matched, item-level data daily, so their team could adjust prices city by city.
A US food brand wanted to see how competitors priced and promoted similar dishes. We built a weekly feed of menus, discounts, and ratings from Uber Eats and Caviar.
An Australian food business needed restaurant listings and delivery fees across major cities. We delivered a clean, deduplicated dataset to support its expansion planning.
A UK client needed menus, prices, and delivery fees from Deliveroo and Just Eat. We matched every restaurant across both apps into one consistent dataset.
An Indian client needed restaurant, menu, and rating data from Zomato, Swiggy, and Magicpin at scale. We delivered structured data for every restaurant across their target cities.
Frequently Asked Questions About Food Data Scraping
Quick answers about how food data scraping works, which delivery apps we cover, what data you get, how often it updates, and pricing. Still have a question? Our team is happy to help.
Food data scraping services collect publicly available data from food delivery apps and restaurant websites, such as menus, item prices, offers, delivery fees, and ratings. Xwiz cleans, matches, and structures this data so restaurant chains, delivery platforms, and food brands can use it for pricing, competitor tracking, and market research.
You can scrape food delivery data such as restaurant names, cuisines, addresses, menu items, item prices, discounts, combo prices, add-ons, delivery fees, estimated delivery times, ratings, reviews, and search ranking positions. Xwiz delivers these as structured fields for each restaurant, dish, and location, ready for spreadsheets, BI tools, or your own systems.
Food delivery data scraping shows restaurants exactly how competitors price their menus, which offers they run, and what they charge for delivery in each area. With daily data from Xwiz, restaurant chains can adjust prices, plan promotions, and improve their menus based on real market numbers instead of manual app checks.
Xwiz’s food delivery app scraping covers 50+ platforms, including DoorDash, Uber Eats, Grubhub, Deliveroo, Just Eat, Talabat, Careem, Zomato, Swiggy, GrabFood, Foodpanda, iFood, and Rappi. We also collect data from Google Maps, Yelp, and restaurant brand websites, and we build custom scrapers for any other app.
Web scraping food delivery data is used for competitor menu pricing, offer and discount tracking, delivery fee benchmarking, market sizing, new restaurant discovery, and food price research. Restaurant brands use it to stay competitive, delivery platforms use it to track rivals, and FMCG brands use it to monitor where and how their products are sold.
Yes. Menu prices, delivery fees, and offers on delivery apps often change by address, so Xwiz collects data by postcode, delivery zone, or exact address. This lets you compare prices city by city and neighbourhood by neighbourhood, and spot areas where competitors charge less or deliver faster.
Food data scraping is generally considered legal when it collects only publicly available information, such as listed menu prices and published ratings, without logging into private accounts or collecting personal data. Xwiz follows this approach and data protection rules like GDPR. Laws vary by country, so businesses should review their specific use case with legal counsel.
Food delivery data can be updated in real time, hourly, daily, or weekly, depending on how fast your market changes. Most Xwiz clients use daily updates for menu prices and more frequent checks for offers and delivery fees during peak hours, delivered in CSV, Excel, JSON, or via API.
The cost of food delivery data scraping services depends on the number of apps, restaurants, and locations, how often data is updated, and the fields you need. Xwiz offers one-time datasets, recurring feeds, and API access, plus a free sample dataset so you can check data quality before choosing a plan.
Yes. Xwiz builds custom food data scraping solutions around your exact brands, apps, cities, and data fields. Whether you need one competitor tracked in one city or thousands of restaurants across several countries, we set up the scrapers, match the data, and deliver it on your schedule.
Blog & Articles
Tell Us What Data You Need
Share the websites or apps you need data from and what you want to collect. Our team will review your request and send a plan with a free sample dataset.