More data types we offer...
Your Data Extraction Partner
Our web scraping team of experts can provide services to suit any size of business, from twinkly startups to Fortune 100’s.
Our web scraping team of experts can provide services to suit any size of business, from twinkly startups to Fortune 100’s.
Restaurant data extraction has taken the industry by storm. Restaurant owners are extracting competitor menu data to create innovative menus and exclusive deals that set them apart. Understanding the industry pricing for various items can help develop a competitive pricing strategy. With web scraped restaurant data get ready to explore unlimited opportunities.
Use restaurant data scraping to get a clean, valuable restaurant database that includes multiple data specifications such as locations, menus, reviews, mentions, and much more. All this without the technical hassle. You tell us where it is online and our team of experts gets you the data, exactly how you want it.
With our high-quality restaurant data feeds, you can get access to structured restaurant data from one or multiple websites across the web, so you can create a perfect restaurant database. As your needs grow, so can we.
Zyte Data Extraction supports a comprehensive list of metadata types and we have a QA process perfected for 10+ years to deliver high-quality restaurant web data.
We probably already extract data from your target website and can offer the data you need in a standardized schema that will make your life easier and save you time and money.
The ultimate web scraping API, designed to automatically avoid bans in the most cost-effective way possible saving you time and money at every stage of your project.
Locations
Reviews
Listings
Mentions
Opening hours
Menu items
Ratings
Other custom fields upon request
[
{
"name": "The River Kitchen",
"cuisine": "Cafe Food, Coffee and Tea",
"locality": "Hamilton Central",
"city": "Hamilton & Waikato",
"country": "New Zealand",
"num_of_reviews": "74",
"review_rating": "4.3",
"opening_hours": {
"Monday": "7am – 4pm",
"Tuesday": "7am – 4pm",
"Wednesday": "7am – 4pm",
"Thursday": "7am – 4pm",
"Friday": "7am – 4pm",
"Saturday": "8am – 4pm",
"Sunday": "8am – 3pm"
},
"latitude": -37.788569974,
"longitude": 175.284005329,
"scrape_url": "https://www.example.com/restaurant",
"does_delivery": "false",
"cost_for_two": "NZ$40",
"restaurant_type": "Café",
"scrape_timestamp": "2020-02-17 02:50:05.708799"
}
]