Restaurant Data Scraping Services for Menus, Locations & Reviews
Our restaurant data scraping services collect menus, prices, locations, opening hours, and reviews from restaurant websites, Google Maps, Yelp, Tripadvisor, and OpenTable. Whether you track one competitor or every restaurant in a country, we deliver clean, deduplicated data via CSV, JSON, or API.
Get a Free Restaurant Data Sample
Restaurant Data Scraping That Shows You the Whole Market
Every restaurant decision starts with knowing the market: where competitors are, what they charge, and what diners say about them. Restaurant data scraping turns thousands of restaurant websites and listings into one clean dataset, covering menus, prices, locations, opening hours, ratings, and reviews. You choose the cities, cuisines, and chains. We collect the data, remove duplicates across sources, and match every outlet to the right brand and address, so your expansion, pricing, and sales teams work from real market numbers instead of manual searches and spreadsheets.
Restaurant Data Fields We Scrape
We scrape restaurant data from restaurant websites and listing sites, covering details, locations, opening hours, menus, prices, ratings, and reviews, structured by outlet and address and ready for your CRM, maps, and analytics tools.
{
"restaurant": "La Piazza Trattoria",
"cuisine": "Italian, Pizza",
"price_range": "$$",
"address": "412 N Clark St",
"city": "Chicago",
"postcode": "60654",
"lat_lng": "41.8889, -87.6310",
"phone": "+1 312 555 0148",
"hours_today": "11:30-22:30",
"rating": 4.5,
"review_count": 1862,
"reservations": true,
"sources": 3,
"scraped_at": "2026-10-28T08:00Z"
}
Restaurant Details
Who the restaurant is- Restaurant Name
- Brand / Chain
- Cuisine Type
- Price Range
- Website URL
- Restaurant Photos
- Dining Options
- Ownership Type
Location & Contact
Where to find it- Full Address
- Postcode
- Geo-Coordinates
- Phone Number
- Neighbourhood
- Store ID
- Social Links
Hours & Status
When it is open- Opening Hours
- Holiday Hours
- Open / Closed Status
- New Openings
- Permanent Closures
- Last Updated
Menu & Prices
What it serves- Menu Categories
- Dish Name
- Dish Description
- Dine-In Price
- Set Menus & Combos
- Dietary Tags
- Allergens
- Calories & Nutrition
Ratings & Reviews
What diners say- Overall Rating
- Review Count
- Review Text
- Review Date
- Owner Replies
- Rating by Source
Services & Amenities
How diners can visit- Reservations
- Table Availability
- Takeaway
- Outdoor Seating
- Parking
- Accessibility
- Payment Methods
Need a field that isn't listed? We build custom scrapers around your exact data requirements.
Get in TouchOur Restaurant Data Scraping Services
Our restaurant web scraping covers every source diners use to find and choose a restaurant: chain websites, Google Maps, Yelp, Tripadvisor, and OpenTable. Pick one service or combine them into a single, deduplicated restaurant dataset.
Restaurant Menu & Price Scraping
See exactly what competitors serve and charge in their restaurants. Our restaurant menu scraping collects full dine-in menus, dish names, descriptions, prices, set menus, dietary tags, allergens, and nutrition details from chain websites and listing sites. Every dish is matched by brand and location, so you can compare menus and track price changes across cities.
Restaurant Location & Contact Data
Build a complete, accurate map of every restaurant in your market. We collect names, brands, cuisines, full addresses, postcodes, coordinates, phone numbers, websites, and opening hours, then merge duplicates from Google Maps, Yelp, and Tripadvisor into one clean record per outlet.
Restaurant Review & Rating Scraping
Understand what diners love and complain about, for your brand and every competitor. We collect overall ratings, review counts, review text, review dates, and owner replies from Google Maps, Yelp, Tripadvisor, and OpenTable, with ratings kept separate by source.
Openings, Closures & Store Locator Tracking
Know when competitors open, close, or move, before it shows up in industry reports. We track chain store locators and listing sites to flag new openings, permanent closures, and changed hours, so expansion teams can spot white space and suppliers can find new accounts first.
Reservations & Table Availability Scraping
See how busy restaurants really are. We collect reservation options, available time slots, party sizes, and booking links from OpenTable, Resy, and restaurant websites, giving you a practical view of demand by area, cuisine, and day of the week.
Restaurant Lead Data Extraction
Turn restaurant listings into a ready-to-use sales list. Our restaurant data extraction builds targeted lists by city, cuisine, price range, rating, or chain size, with public business phone numbers, websites, and addresses, ready for your CRM and sales outreach.
See Every Restaurant in Your Market, in One Clean List
Tell us your cities, cuisines, and data fields. We'll send a free sample of real restaurant data, including menus, locations, hours, and ratings, so you can check the quality before you commit.
| La Piazza Trattoria | ★ 4.4 |
| Nonna Lucia | ★ 4.6 |
| Forno Rosso | ★ 4.3 |
| Trattoria Sole | New |
Restaurant Websites & Listing Sites We Scrape
We collect restaurant data from 40+ maps, review sites, reservation platforms, and chain store locators, plus thousands of independent restaurant websites. Need delivery app data from DoorDash or Uber Eats? See our food delivery data scraping services.
Maps & Local Listings
7- Google Maps
- Apple Maps
- Bing Places
- Yelp
- Foursquare
- Yellow Pages
- Justdial
Review & Guide Sites
5- Tripadvisor
- Michelin Guide
- The Infatuation
- Eater
- Time Out
Reservation Platforms
8- OpenTable
- Resy
- Tock
- SevenRooms
- TheFork
- Quandoo
- EazyDiner
- Swiggy Dineout
Global Chain Store Locators
10- McDonald's
- Starbucks
- Subway
- Domino's
- KFC
- Pizza Hut
- Burger King
- Chipotle
- Taco Bell
- Dunkin'
Regional Chain Store Locators
8- Nando's
- Pret A Manger
- Wagamama
- Greggs
- Costa Coffee
- Tim Hortons
- Jollibee
- Haidilao
Restaurant Websites & Social
5- Independent restaurant websites
- Chain websites
- Online & PDF menus
- Facebook Pages
- Instagram profiles
Don't see your source? We build custom scrapers for any restaurant website or listing site. Tell us what you need
Built for Restaurant Chains, Suppliers, and Sales Teams
Restaurant data is valuable well beyond restaurants. Whether you run outlets, sell to them, or study the market, we shape each dataset around the decisions you need to make.
Restaurant Chains & Franchises
Map every competitor around each outlet, compare menus and prices by location, and find the best areas for your next opening.
Foodservice Suppliers & Distributors
Find every restaurant in your delivery area by cuisine and size, and spot new openings before your competitors do.
FMCG & Beverage Brands
See which restaurants list your products on their menus, how they are priced, and where competitor brands are winning.
POS, Payments & SaaS Sales Teams
Build targeted restaurant lead lists with public phone numbers, websites, and outlet counts, ready for your CRM.
Investors & Real Estate Teams
Track restaurant density, openings, closures, and ratings by area to value locations and spot growing neighbourhoods.
Market Research Firms
Build restaurant counts, menu price indexes, and cuisine trend studies from consistent data across cities and countries.
Restaurant Data Delivered the Way Your Team Works
No new tools to learn and no messy files to clean. We deliver ready-to-use restaurant data in the format, channel, and schedule that fit your existing workflow.
Your Preferred Format
One row per restaurant or per menu item, with the same columns every time, so files open straight in your spreadsheet, BI tool, or database.
- CSV
- Excel
- JSON
- XML
Delivered Where You Work
Data lands directly in your systems or CRM, so your team never has to download, upload, or reformat anything.
- REST API
- Amazon S3
- Google Sheets
- SFTP
On Your Schedule
Refresh menus, ratings, and listings as often as your market changes, or order a single snapshot for a study.
- Daily
- Weekly
- Monthly
- One-time
Clean, Matched Data
We merge duplicate listings, standardise addresses and hours, and link each outlet to its chain before delivery.
- Deduplication
- Address cleaning
- Chain matching
- Validation
How Our Restaurant Data Scraping Process Works
From your first list of cities to a clean, recurring feed, we handle every step of restaurant data scraping, so your team gets accurate data without building or maintaining scrapers.
Share Your Markets & Data Needs
Tell us the cities, cuisines, chains, or sources you want covered, and the fields you need, such as menus, prices, ratings, or contact details.
01
Get a Free Restaurant Data Sample
We send a sample for one area so you can check field coverage, accuracy, and file format before you commit.
02
Custom Scraper Setup
We build scrapers for each listing site, store locator, and restaurant website, designed to handle site changes and anti-bot protection.
03
Listing Matching & Cleaning
We merge duplicate listings across platforms, standardise addresses and hours, and link every outlet to its chain.
04
Scheduled Data Delivery
Clean restaurant data arrives daily, weekly, or monthly by API, S3, Google Sheets, SFTP, or email, and we monitor every source.
05
Why Choose Xwiz for Restaurant Data Scraping
Restaurant data is messy: the same outlet appears on many sites, menus change often, and listings go stale. Here's why chains, suppliers, and sales teams trust Xwiz to turn it into data they can use.
Get in TouchListings Matched Across Platforms
The same restaurant on Google Maps, Yelp, Tripadvisor, and its own website becomes one clean record, so you count outlets once, not three times.
Menus You Can Actually Compare
We standardise item names, sizes, and currencies, so a Margherita pizza in Chicago lines up with the same dish in Dallas or London.
Built to Handle Anti-Bot Systems
Rotating infrastructure and careful request pacing keep data flowing from map platforms, review sites, and heavily protected store locators.
Fully Managed, Zero Maintenance
We monitor every source and fix scrapers as soon as sites change, so your restaurant feed keeps arriving without your team stepping in.
Any City, Any Country
From one neighbourhood to an entire country, we cover global platforms and local listing sites, in the local language and currency.
Public Data, NDA Protected
We collect only publicly available restaurant data, and every project is covered by an NDA, so your plans and target markets stay private.
Case Study
Trusted by Restaurant Brands and Suppliers
How we've delivered restaurant data for clients in the USA, Qatar, and Singapore. Client names are kept confidential under NDA.
A US restaurant franchise was planning new locations across three states. We mapped every competing restaurant around each target site, with cuisine, price level, ratings, and review counts, so their team could compare areas on facts instead of site visits.
A food and beverage distributor in Qatar needed a complete list of restaurants and cafés in Doha to plan its sales routes. We merged duplicate listings into one clean record per outlet, with area, cuisine, hours, and public contact details.
A Singapore hospitality group wanted to benchmark menus, prices, and ratings against restaurants in its key neighbourhoods. We delivered standardised menu and rating data every month, so like-for-like dishes could be compared outlet by outlet.
Frequently Asked Questions About Restaurant Data Scraping
Quick answers about the restaurant data we collect, the sources we cover, how often we update it, and how your team can get started with a free sample.
Restaurant data scraping services collect publicly available information from restaurant websites, map platforms, review sites, and store locators, such as menus, prices, locations, hours, ratings, and contact details. Xwiz delivers it as clean, structured data, so you can analyse restaurant markets without building or maintaining scrapers yourself.
We can scrape restaurant names, cuisines, addresses, coordinates, phone numbers, websites, opening hours, menus, item prices, ratings, review counts, review text, reservation availability, amenities, and chain or franchise details. You choose the fields you need, and we deliver them in one consistent format across every source.
We scrape Google Maps, Yelp, Tripadvisor, OpenTable, Resy, TheFork, chain store locators like McDonald’s and Starbucks, and individual restaurant websites. If a public restaurant source is not on our list, we can build a custom scraper for it after reviewing the site and your data needs.
Scraping publicly available restaurant data, such as menus, addresses, and ratings, is generally legal in most countries. Xwiz collects only public information, avoids personal data, respects site load, and follows applicable data laws. For specific use cases, we recommend checking your local regulations with your legal team.
Yes. We scrape restaurant listings from Google Maps by city, area, or cuisine, including names, addresses, coordinates, phone numbers, websites, hours, ratings, and review counts. We also merge Google Maps data with Yelp, Tripadvisor, and restaurant websites, so each outlet appears once with complete details.
Restaurant menu scraping collects menu items, descriptions, sizes, prices, and categories from restaurant websites and listing pages. Xwiz standardises item names, portions, and currencies, so you can compare the same dish across outlets, cities, and competitors, and track price changes over time with daily, weekly, or monthly updates.
Yes. Many sales teams use our restaurant data extraction to build lead lists filtered by city, cuisine, rating, or outlet count. Each record can include the restaurant’s public phone number, website, address, and chain details, delivered as CSV, Excel, or directly to Google Sheets for your CRM.
We update restaurant data daily, weekly, or monthly, depending on how fast your market changes. Menus and prices are usually refreshed weekly, while openings, closures, and ratings can be tracked daily. One-time datasets are also available for market studies, site selection, or due diligence.
Restaurant data scraping covers restaurant websites, map platforms, review sites, reservation platforms, and store locators. If you need menus, prices, fees, and delivery times from apps like Uber Eats, DoorDash, or Deliveroo, our food delivery data scraping services are the better fit. Many clients combine both.
Pricing depends on the number of sources, locations, data fields, and how often you need updates. A single city snapshot costs much less than a multi-country weekly feed. Share your requirements and we’ll send a free sample and a clear quote based on your scope.
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.