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Pay $1.50 for 1,000 Restaurants
![Wolt Restaurants Scraper 🥡](https://images.apifyusercontent.com/kS5AHzYWxcE9omD1cI8saYQkHt-yDqAfkEkRXbnPeDA/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vOGNTWU5Sdkwwc3A5TWg5WUsvUExIOXlkNFVzeTJVcnhNVU4tV09MVF9MT0dPLnBuZw.webp)
Wolt Restaurants Scraper 🥡
Pay $1.50 for 1,000 Restaurants
Extract data from restaurants on the Wolt food delivery platform. Input a city and country, and effortlessly obtain information such as restaurant names, addresses, zip codes, URLs, phone numbers, coordinates, ratings and more. Download scraped data in various formats including HTML, JSON and Excel.
What does the Wolt Restaurants Scraper do?
The Wolt Restaurants Scraper is designed to collect detailed information from restaurants listed on the Wolt food delivery platform. Simply input the city and country where you wish to gather data, and the tool will handle the Wolt data extraction process for you.
This scraper can extract all Wolt restaurant listings and its details for a particular city. This means you will have access to information such as:
Restaurant Name
Menu (categories and menu items)
Description
Restaurant Website
Phone Number
Ratings
City
Address
Zip Code
Country Code
Timezone
Currency
Opening Hours
Wolt Listing URL
Latitude and Longitude
Why scrape Wolt Restaurants?
Wolt restaurants data holds immense potential for lead generation. By collecting contact details and general information about restaurants featured on Wolt, you can compile a list of prospective establishments for your rival food delivery service, or if your business targets offering services to restaurant owners. Whether you're a business owner analyzing competitors, a data analyst tracking food trends, or a developer seeking to incorporate restaurant data into your applications, Wolt Restaurants Scraper can help you get the data you need.
Input example
Output example
1{ 2 "name": "Domino's Pizza Darmstadt Süd", 3 "description": "Hungry for more! Fresh pizza plus a variety of snacks and something sweet for afterwards. Seller: Company: Rafael Welenz, Address: Bessunger Str. 122, 64285, Darmstadt, Germany, Representative: Rafael Welenz, Trade register number: 007/880/62655, E-Mail: support@wolt.com", 4 "city": "Darmstadt", 5 "countryCode": "DEU", 6 "address": "Bessunger Strasse, 122", 7 "postCode": "64285", 8 "woltUrl": "https://wolt.com/de/deu/darmstadt/restaurant/dominos-pizza-darmstadt-sd", 9 "website": "https://www.dominos.de/filiale/de-darmstadtsd-33781", 10 "phone": "+496151604040", 11 "rating": "n/a", 12 "ratingScore": "n/a", 13 "ratingVolume": "n/a", 14 "timezone": "Europe/Berlin", 15 "currency": "EUR", 16 "workingHours": [ 17 { 18 "day": "Monday", 19 "formatted_times": "11:00 AM–10:00 PM" 20 }, 21 { 22 "day": "Tuesday", 23 "formatted_times": "11:00 AM–10:00 PM" 24 }, 25 { 26 "day": "Wednesday", 27 "formatted_times": "11:00 AM–10:00 PM" 28 }, 29 { 30 "day": "Thursday", 31 "formatted_times": "11:00 AM–10:00 PM" 32 }, 33 { 34 "day": "Friday", 35 "formatted_times": "11:00 AM–11:00 PM" 36 }, 37 { 38 "day": "Saturday", 39 "formatted_times": "11:00 AM–11:00 PM" 40 }, 41 { 42 "day": "Sunday", 43 "formatted_times": "11:00 AM–10:00 PM" 44 } 45 ], 46 "latitude": 8.644589, 47 "longitude": 49.85825939999999, 48 "menuData": { 49 "menuCategories": [ 50 { 51 "id": "000000000000000000000002", 52 "name": "WOLT SPECIALS 🌟", 53 "description": "", 54 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/196608ae-29d9-11ed-b3c1-a29906d8b4d4_product_drinks_1440x810_margherita_pizza.jpeg", 55 "itemCount": 1 56 }, 57 { 58 "id": "658e8d9cbd0af11e4dbdf41c", 59 "name": "PREMIUM 💫", 60 "description": "", 61 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/2aed6ea0-e8b5-11ed-81e5-5adf348fafb4_wolt_pizza_chickendoener_1440x810.jpg", 62 "itemCount": 11 63 }, 64 { 65 "id": "63d3a98e77374435aa837b1e", 66 "name": "VEGGIE 🍕🌱", 67 "description": "", 68 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/1fc9044e-29d9-11ed-9465-ee162bde3d73_product_drinks_1440x810_margherita_pizza.jpeg", 69 "itemCount": 3 70 } 71 ], 72 "menuItems": [ 73 { 74 "id": "6604216eb6483c486db75e0e", 75 "name": "Pizza des Monats: Margherita Large", 76 "category": "WOLT SPECIALS 🌟", 77 "description": "Teig mit extra Mozzarella", 78 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/196608ae-29d9-11ed-b3c1-a29906d8b4d4_product_drinks_1440x810_margherita_pizza.jpeg", 79 "deal": false, 80 "currentPrice": "EUR 14.99" 81 }, 82 { 83 "id": "65d3563339649adf7f865147", 84 "name": "Pizza Chicken Döner", 85 "category": "PREMIUM 💫", 86 "description": "Teig und Mozzarella, cremiger Knoblauchsauce als Basissauce, würziges Hähnchen-Dönerfleisch, rote Zwiebeln, getoppt mit Salat und Cocktailsauce", 87 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/2aed6ea0-e8b5-11ed-81e5-5adf348fafb4_wolt_pizza_chickendoener_1440x810.jpg", 88 "deal": false, 89 "currentPrice": "EUR 13.49" 90 }, 91 { 92 "id": "65d3563339649adf7f8650ec", 93 "name": "Pizza Caprese", 94 "category": "VEGGIE 🍕🌱", 95 "description": "Teig und Mozzarella mit frischen Tomaten, Mozzarella-Kugeln und Basilikum-Pesto", 96 "image": "https://wolt-menu-images-cdn.wolt.com/menu-images/62fb8d8fc5671edb1a5c6911/c929861e-29d7-11ed-996f-3284ddad78c2_product_drinks_1440x810_caprese_pizza.jpeg", 97 "deal": false, 98 "currentPrice": "EUR 9.99" 99 } 100 ] 101 } 102}
Requirements and Limitations
The only requirement is to ensure you specify a city where Wolt's food delivery services are available. Failing to do so will result in the Actor generating an error.
How much will scraping Wolt Restaurants cost you?
This scraper operates on a pay-as-you-use basis, charging 1.50 Apify Credits per 1000 results, in addition to the standard Apify platform fees. To better understand the costs for your specific needs, we suggest conducting a test scrape using the Actor's default settings, which are configured for a small city and typically yield about 170 results. This will give you a cost estimate for a smaller dataset, which you can then use as a foundation for calculating your total costs according to the amount of data you need.
- 11 monthly users
- 3 stars
- 97.4% runs succeeded
- 15 days response time
- Created in Mar 2024
- Modified 3 months ago