TheFork Scraper (LaFourchette, ElTenedor) | Restaurants, Menus and Ratings (2026)

From SilentFlow. Creators of Facebook Search Scraper and Pinterest Scraper, with 540,000+ combined lifetime runs.

Every restaurant TheFork lists in a city, one flat row each, with its ratings, menu prices, opening hours and offers. 20 Paris restaurants in about 5 seconds.

Why choose this actor?

Copying restaurants out of TheFork 25 at a time? Building a prospect list without prices, ratings or hours? Stuck with a scraper that only takes TheFork links and hands back nested arrays your spreadsheet cannot filter?

• More data on every restaurant. On our Paris test run, 120 fields were filled on the restaurants we saved: cuisine, average price, TheFork rating with its food, service and ambience scores, Tripadvisor rating, GPS, hours for each day, the full menu with dish prices, set menus, the current discount, Michelin and Insider awards, amenities, photos, up to 20 latest reviews and the restaurants nearby. The most used TheFork actor shows 104 fields in its example.
• Type a city, not a link. Start from a city or a district name (Paris, Lyon, Montmartre), add a cuisine (sushi Lyon), paste any TheFork page, or list restaurant ids. Three ways in, where the most used TheFork actor takes TheFork pages only. Typing Paris opens the 3,337 restaurants TheFork lists there.
• Columns you can filter right away. Opening hours come one column per weekday, menu prices as cheapest, dearest and average dish, amenities as true or false: outdoor dining, wheelchair access, Wi-Fi, vegan options and seven more. Sort a city by rating, keep the restaurants open on Sunday, drop the ones without a terrace, without writing a formula.

Try your first restaurants

Paste this input in the actor's Input tab, or keep the prefilled one, and press Start:

{
    "searchQueries": ["Paris"],
    "maxItems": 20
}

You get 20 Paris restaurants in about 5 seconds, each one a row with its menu, hours, ratings and offers. The Apify Free plan covers runs like this one every month, so you can check the data before you scale to a whole city.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it full context about this scraper:

You have access to the TheFork Scraper on Apify: silentflow/thefork-scraper
It scrapes TheFork (thefork.com, formerly LaFourchette and ElTenedor) restaurants. One dataset row per restaurant.

Input (no field is required, give at least one of the first three):
- searchQueries (array of strings): cities, towns or districts, optionally with a cuisine. Examples: "Paris", "Lyon", "Montmartre", "sushi Lyon", "Italian restaurants in Milan"
- startUrls (array of strings): TheFork pages: a city (https://www.thefork.com/restaurants/paris-c415144), a filtered list (.../paris-c415144/italian-t436, .../promotions, a district), or a restaurant (https://www.thefork.com/restaurant/new-delhi-palace-r751236). Any TheFork country site.
- restaurantIds (array of strings): TheFork restaurant ids, the number after -r in a restaurant address. Example: "35146"
- maxItems (integer, default 100): restaurants to save for the whole run
- cuisine (string, optional): a TheFork cuisine applied to searchQueries: italian, french, japanese, chinese, indian, spanish, mediterranean, pizzeria, vegan-cuisine...
- offersOnly (boolean, default false): keep only restaurants running a TheFork discount

Output per restaurant (136 data fields, flat, camelCase, null when TheFork has no value):
- identity: id (TheFork id, string), uuid, name, url, slug
- content: cuisine, cuisineTypes[], description, chefName, specialties[], atmosphere[], features[], dietaryOptions[], paymentMethods[], collections[], insiderSelections[], safetyMeasures[], tags[], highlightedTags[], distinctions[], mostMentionedDishes[], mostMentionedFeatures[], reviewsSummary
- measures: rating (out of 10), ratingLabel, reviewCount, monthlyReviewCount, ratingCount, writtenReviewCount, foodRating, serviceRating, ambienceRating, recentAverageRating, ownerReplyRate (0 to 1), tripadvisorRating (out of 5), tripadvisorReviewCount, reviewLanguages{lang: count}, priceRange (1 to 4), averagePrice, currency, menuPriceMin, menuPriceMax, menuPriceAverage, mainCoursePriceAverage
- place: address, street, postalCode, city, cityId, country, countryCode (ISO), areas[], district, region, latitude, longitude, transport, parking
- hours: openingHours{monday: ["12:00-15:00"], ...}, mondayHours ... sundayHours ("Closed" on closing days), isOpenSunday
- booking: isBookable, hasAvailability, availableTimes[] (free times today), reservationsToday, hasOffers, discountPercent, promotion, eventName, deals[], isSuperYums, yumsOffers[], payAtTable, payAtTableYums, acceptsGiftCards, acceptsTheForkPay, hasLoyaltyProgram, isAffiliated
- awards: michelinStars, michelinUrl, michelinReview, isMichelinGuide, isInsider, insiderDescription, isTopHost, isTopRated, isNewRestaurant, theforkAwards, topChartRank, topChartSize, topChartLocation, guideAwards[]
- amenities (true/false): hasOutdoorDining, isKidFriendly, isGoodForGroups, isWheelchairAccessible, isDogFriendly, hasAirConditioning, hasWifi, isPrivatizable, hasVegetarianOptions, hasVeganOptions, hasGlutenFreeOptions
- menu: menu[{name, items[{name, description, price, isMainDish}]}], menuSectionCount, menuItemCount, setMenus[{name, courses[{name, items[]}], hasAvailability, updatedAt}], setMenuCount, pdfMenuPages, menuUrl
- media: mainPhotoUrl, photos[], photoCount, customerPhotos[], customerPhotoCount, foodPhotoCount, menuPhotoCount, menuPhotoUrl
- reviews: reviews[{id, rating, text, mealDate, author, authorReviewCount, likes, photos[], ownerReply}] (up to 20 latest), reviewsUrl, latestReviewId, latestReviewDate, latestReviewRating, latestReviewText, latestReviewAuthor, latestReviewAuthorReviewCount
- extras: faq[{question, answer}], nearbyRestaurants[{id, name, url, cuisine, rating, reviewCount, averagePrice, currency, address}], metaTitle, metaDescription
- meta: searchQuery, position (rank in the TheFork list), scrapedAt (RFC 3339)
Dates are RFC 3339 UTC. Use apify-client for Python or JavaScript: client.actor("silentflow/thefork-scraper").call(run_input={...}), then read the default dataset.

How to scrape TheFork restaurants

Get every restaurant of a city

Type the city as you would say it. TheFork's 121 main cities are recognized in English and in their local names (Milano, Genève, Den Haag); any other town is placed on the map first.

{
    "searchQueries": ["Barcelona"],
    "maxItems": 200
}

Build a list of Japanese restaurants in Lyon

Add the cuisine to the place, or pick it in the Cuisine field. On our test run, Lyon gave 38 Japanese restaurants on TheFork.

{
    "searchQueries": ["Lyon"],
    "cuisine": "japanese",
    "maxItems": 50
}

Track the discounts around a district

A district or a neighbourhood gives the restaurants around it. Turn on the offers filter to keep only those running a discount right now, with the percentage and the offer name on each row.

{
    "searchQueries": ["Montmartre"],
    "offersOnly": true,
    "maxItems": 30
}

Input parameters

Parameter	Type	Default	What it does
searchQueries	array of strings	prefilled with Paris	Cities, towns or districts, one per line. A cuisine in the line narrows it: sushi Lyon, Italian restaurants in Milan.
startUrls	array of strings	none	TheFork pages: a city, a filtered list, a district, the offers of a city, or a restaurant page. Any TheFork country site.
restaurantIds	array of strings	none	TheFork restaurant ids, the number after -r at the end of a restaurant address.
maxItems	integer	100	Restaurants to save for the whole run, across every line.
cuisine	string	any	Keep only this cuisine in the cities and places you typed. Pick one or type another TheFork cuisine.
offersOnly	boolean	false	Keep only the restaurants running a TheFork discount.

No field is required: give at least one city, page or id. Restaurants named one by one (pages and ids) are read first, so a long city list never crowds them out of maxItems. A restaurant found by two lines is saved once.

Accepted formats:

• Places: Paris, paris, Genève, Geneva, The Hague, Lyon, Saint-Tropez, Montmartre, Paris 11th.
• Place with cuisine: sushi Lyon, Lyon japanese, Italian restaurants in Milan, Barcelona, Middle Eastern, pizza Rome.
• City and list pages: https://www.thefork.com/restaurants/paris-c415144, .../paris-c415144/italian-t436, .../paris-c415144/promotions, .../paris-c415144/paris-8th-a534, with ?p=3 to start on page 3. Pages of thefork.fr, thefork.es, thefork.it and the other country sites work the same way.
• Restaurant pages: https://www.thefork.com/restaurant/l-atelier-de-joel-robuchon-etoile-champs-elysees-r35146, its /menu and /reviews pages, and the same page on any country site.
• Ids: 35146 or r35146.

What data can you extract from TheFork?

Each row is one restaurant, with 136 data fields in 12 groups plus 3 fields that say where the row comes from. On our four test runs (Paris, a Barcelona Italian list with one restaurant id, Japanese restaurants in Lyon, offers around Montmartre), 115 to 120 fields were filled on at least half of the rows. A field TheFork leaves empty for a restaurant comes back as null, a list as [], never as an invented value.

Group	Fields	What you get
Identity	5	id (the TheFork id in the address), uuid, name, url, slug
Content	18	cuisine and every cuisine type, description, chef, specialties, atmosphere, features, dietary options, payment methods, TheFork collections, Insider selections, tags, distinctions, dishes and features diners mention most
Measures	21	TheFork rating and label, review and rating counts, reviews this month, food, service and ambience scores, average of the latest reviews, owner reply rate, Tripadvisor rating and count, review languages, price range, average price, currency, cheapest, dearest and average dish, average main course
Place	14	full address, street, postal code, city and its TheFork id, country and ISO code, areas and landmarks, district, region, latitude, longitude, public transport, parking
Hours	9	the week as an object, one column per weekday (Closed on closing days), open on Sunday
Booking and offers	17	bookable, free times today, bookings today, offer flag, discount percent, offer and event names, deals, Yums offers, pay at the table, gift cards, TheFork Pay, loyalty program
Awards	14	Michelin stars, guide link and review, Michelin selection, Insider, Top Host, top rated, new restaurant, TheFork Awards, top chart rank and size, guide awards such as Gault & Millau
Amenities	11	outdoor dining, kid-friendly, good for groups, wheelchair access, dog-friendly, air-conditioning, Wi-Fi, can be privatized, vegetarian, vegan and gluten-free options, each true or false
Menu	7	the à la carte menu by section with each dish, description and price, set menus with their courses, counts, PDF menu pages, menu page link
Media	8	main photo, restaurant photos, diners' photos, photo counts, menu photo
Reviews	8	up to 20 latest reviews with rating, text, meal date, diner, likes, photos and owner reply, plus the latest one in flat columns
Extras	4	the restaurant's FAQ on TheFork, the 20 restaurants TheFork lists nearby with their rating and price, page title and description

The amenity flags read TheFork's own filters: true when TheFork lists the feature on the restaurant, false when it does not. The id and url never change for a restaurant, so you can join runs week after week. Photo links are TheFork's own image addresses. Dates (mealDate, latestReviewDate, updatedAt, scrapedAt) are RFC 3339 in UTC.

Output example

One real row from our Paris test run (Tamada, Paris 5th). Long lists are cut to their first items here; the actor returns them in full.

{
  "id": "376243",
  "uuid": "59058db8-4783-4430-8f82-c5e5bba58154",
  "name": "Tamada",
  "url": "https://www.thefork.com/restaurant/tamada-r376243",
  "slug": "tamada",
  "cuisine": "Eastern Europe",
  "cuisineTypes": ["Eastern Europe", "European"],
  "description": null,
  "chefName": null,
  "specialties": ["Barbecue", "Chicken", "Dumpling"],
  "atmosphere": ["Gift cards", "Homemade cuisine", "Lunch", "Outdoor dining"],
  "features": ["Can be privatized", "English spoken", "Open sunday", "Wifi"],
  "dietaryOptions": ["Vegetarian dishes"],
  "paymentMethods": ["Check", "Credit Card", "TheFork Pay", "UnionPay"],
  "collections": ["Black Friday", "TheFork Festival", "TheFork SUMMER!"],
  "insiderSelections": [],
  "safetyMeasures": [],
  "tags": ["Check", "Credit Card", "TheFork Pay", "UnionPay", "Visa", "Voucher"],
  "highlightedTags": ["SUPER_YUMS", "TF_PAY", "GIFT_CARD"],
  "distinctions": [],
  "mostMentionedDishes": ["Khinkali", "Khachapuri"],
  "mostMentionedFeatures": ["Georgian atmosphere and traditional music", "Small, cosy, family-friendly dining room"],
  "reviewsSummary": null,
  "rating": 9.3,
  "ratingLabel": "Excellent",
  "reviewCount": 499,
  "monthlyReviewCount": 12,
  "ratingCount": 499,
  "writtenReviewCount": 194,
  "foodRating": 9.4,
  "serviceRating": 9.3,
  "ambienceRating": 9,
  "recentAverageRating": 9.15,
  "ownerReplyRate": 0.15,
  "tripadvisorRating": 4.4,
  "tripadvisorReviewCount": 78,
  "reviewLanguages": {"en": 24, "fr": 167, "it": 2, "ru": 1},
  "priceRange": 2,
  "averagePrice": 26,
  "currency": "EUR",
  "menuPriceMin": 2,
  "menuPriceMax": 28,
  "menuPriceAverage": 15.15,
  "mainCoursePriceAverage": 23.33,
  "address": "143 Boulevard Saint-Michel, 75005, Paris",
  "street": "143 Boulevard Saint-Michel",
  "postalCode": "75005",
  "city": "Paris",
  "cityId": "415144",
  "country": "France",
  "countryCode": "FR",
  "areas": ["Paris - Centre", "Port-Royal"],
  "district": "Paris 5th",
  "region": "Ile-de-France",
  "latitude": 48.8411429,
  "longitude": 2.3377273,
  "transport": "Le restaurant se situe à quelques mettre de la station Port Royal (RER B)",
  "parking": "Le stationnement dans les rue environnantes est assez facile.",
  "openingHours": {
    "friday": ["12:00-20:00"],
    "monday": ["12:00-20:00"],
    "saturday": ["12:00-20:00"],
    "sunday": ["12:00-20:00"],
    "thursday": ["12:00-20:00"],
    "tuesday": ["12:00-20:00"],
    "wednesday": ["12:00-20:00"]
  },
  "mondayHours": "12:00-20:00",
  "tuesdayHours": "12:00-20:00",
  "wednesdayHours": "12:00-20:00",
  "thursdayHours": "12:00-20:00",
  "fridayHours": "12:00-20:00",
  "saturdayHours": "12:00-20:00",
  "sundayHours": "12:00-20:00",
  "isOpenSunday": true,
  "isBookable": true,
  "hasAvailability": true,
  "availableTimes": ["12:00", "12:30", "13:00", "13:30"],
  "reservationsToday": 2,
  "hasOffers": true,
  "discountPercent": 50,
  "promotion": "50% off during TheFork Festival",
  "eventName": "TheFork Festival",
  "deals": ["Yums x2"],
  "isSuperYums": true,
  "yumsOffers": [{"yums": 1000, "discount": 20, "minimumSpend": 30, "currency": "EUR"}],
  "payAtTable": true,
  "payAtTableYums": 0,
  "acceptsGiftCards": true,
  "acceptsTheForkPay": true,
  "hasLoyaltyProgram": false,
  "isAffiliated": true,
  "michelinStars": null,
  "michelinUrl": null,
  "michelinReview": null,
  "isMichelinGuide": false,
  "isInsider": false,
  "insiderDescription": null,
  "isTopHost": false,
  "isTopRated": false,
  "isNewRestaurant": false,
  "theforkAwards": null,
  "topChartRank": null,
  "topChartSize": null,
  "topChartLocation": null,
  "guideAwards": [],
  "hasOutdoorDining": true,
  "isKidFriendly": false,
  "isGoodForGroups": false,
  "isWheelchairAccessible": false,
  "isDogFriendly": false,
  "hasAirConditioning": false,
  "hasWifi": true,
  "isPrivatizable": true,
  "hasVegetarianOptions": true,
  "hasVeganOptions": false,
  "hasGlutenFreeOptions": false,
  "menu": [
    {
      "name": "Plats",
      "items": [
        {"name": "Khinkali", "description": "(5 Grands ravioles farcies à la viande hachée de bœuf)", "price": 19, "isMainDish": false},
        {"name": "Khinkali vegetarien", "description": "(3 Grands ravioles aux épinards et fromage, dans une sauce blanche a l’yaourt, aneth et l’ail)", "price": 18, "isMainDish": false}
      ]
    }
  ],
  "menuSectionCount": 4,
  "menuItemCount": 13,
  "setMenus": [
    {
      "name": "Menu dejeuner",
      "courses": [
        {"name": "Entrees", "items": ["Potage du jour (se renseigner auprès de serveur/se)", "Entrée du jour (se renseigner auprès de serveur/se)"]},
        {"name": "Plats", "items": ["Plat du jour (se renseigner auprès de serveur/se)", "Shkmeruli (poulet dans une sauce à l’ail )", "Lobio (haricots rouges mijotés au feu doux)"]}
      ],
      "hasAvailability": false,
      "updatedAt": "2026-02-16T06:15:06Z"
    }
  ],
  "setMenuCount": 1,
  "pdfMenuPages": 2,
  "menuUrl": "https://www.thefork.com/restaurant/tamada-r376243/menu",
  "mainPhotoUrl": "https://cdn.thefork.com/tf-lab/image/upload/restaurant/59058db8-4783-4430-8f82-c5e5bba58154/9102552a-4e0a-45c4-81ee-b30ab5421a98.jpg",
  "photos": [
    "https://cdn.thefork.com/tf-lab/image/upload/restaurant/59058db8-4783-4430-8f82-c5e5bba58154/9102552a-4e0a-45c4-81ee-b30ab5421a98.jpg",
    "https://cdn.thefork.com/tf-lab/image/upload/restaurant/59058db8-4783-4430-8f82-c5e5bba58154/23c6b51a-43b3-4f60-9df5-0afd6937b773.jpg"
  ],
  "photoCount": 92,
  "customerPhotos": [
    "https://cdn.thefork.com/tf-lab/image/upload/f_auto,q_auto,w_800,c_limit/customer/59058db8-4783-4430-8f82-c5e5bba58154/ec30a159-40da-4bd8-aed0-9db04c2c2c1d.jpg",
    "https://cdn.thefork.com/tf-lab/image/upload/f_auto,q_auto,w_800,c_limit/customer/59058db8-4783-4430-8f82-c5e5bba58154/f610b1b4-d40e-44b0-96a5-d0ffbf06d4bc.jpg"
  ],
  "customerPhotoCount": 73,
  "foodPhotoCount": 66,
  "menuPhotoCount": 2,
  "menuPhotoUrl": "https://cdn.thefork.com/tf-lab/image/upload/pg_1/menu/59058db8-4783-4430-8f82-c5e5bba58154/7013d96c-c0c6-4965-bbd1-2a2f14d9b017.jpg",
  "reviews": [
    {
      "id": "26681b29-0dd6-4d28-b1db-157db03d7971",
      "rating": 9.5,
      "text": "The food was delicious ☺️",
      "mealDate": "2026-10-02T17:30:00Z",
      "author": "Saule A.",
      "authorReviewCount": 6,
      "likes": 0,
      "photos": [
        "https://cdn.thefork.com/tf-lab/image/upload/f_auto,q_auto,w_800,c_limit/customer/59058db8-4783-4430-8f82-c5e5bba58154/e43ac88b-9c4a-439e-9ee5-34f638555c49.jpg"
      ],
      "ownerReply": null
    }
  ],
  "reviewsUrl": "https://www.thefork.com/restaurant/tamada-r376243/reviews",
  "latestReviewId": "26681b29-0dd6-4d28-b1db-157db03d7971",
  "latestReviewDate": "2026-10-02T17:30:00Z",
  "latestReviewRating": 9.5,
  "latestReviewText": "The food was delicious ☺️",
  "latestReviewAuthor": "Saule A.",
  "latestReviewAuthorReviewCount": 6,
  "faq": [
    {"question": "Can I reserve at Tamada right now?", "answer": "Yes, Tamada has availability on TheFork currently. Do not hesitate, reserve your table on TheFork!"},
    {"question": "Does Tamada have special offers currently?", "answer": "Yes, Tamada is offering TheFork Festival Reserve your table and enjoy your special discount now on TheFork!"}
  ],
  "nearbyRestaurants": [
    {"id": "803041", "name": "Solluna", "url": "https://www.thefork.com/restaurant/solluna-r803041", "cuisine": "French", "rating": 8.6, "reviewCount": 212, "averagePrice": 18, "currency": "EUR", "address": "75006, Paris"}
  ],
  "metaTitle": "Tamada in Paris - Restaurant Reviews, Menu and Prices | TheFork",
  "metaDescription": "TheFork Festival. Book a table at Tamada in Paris. Find restaurant reviews, menu, prices, and hours of operation for Tamada on TheFork.",
  "searchQuery": "Paris",
  "position": 3,
  "scrapedAt": "2026-10-21T03:05:24Z"
}

Advanced usage

Follow the same restaurants every week

Schedule a run on a list of ids to watch ratings, review counts, discounts and free times move. The id stays the same from run to run, so each week joins on it.

{
    "restaurantIds": ["35146", "751236", "16173"],
    "maxItems": 3
}

Map a restaurant's local competition

Each row already carries the 20 restaurants TheFork lists nearby, with their rating and average price. Run the restaurant you care about to get its competitor set in one row, then run those ids to compare menus and scores.

{
    "startUrls": ["https://www.thefork.com/restaurant/new-delhi-palace-r751236"],
    "maxItems": 1
}

Scan several cities in one run

Every line is read in turn until maxItems. Raise the cap to cover each city in full; a restaurant found twice is saved once.

{
    "searchQueries": ["Paris", "Lyon", "Marseille", "Bordeaux"],
    "maxItems": 2000
}

Start from a TheFork page you already filtered

Filter on TheFork (a cuisine, a district, the offers) and paste the address. The actor reads that list page after page, in TheFork's order, and position keeps the rank.

{
    "startUrls": [
        "https://www.thefork.com/restaurants/paris-c415144/italian-t436",
        "https://www.thefork.com/restaurants/madrid-c328022/promotions"
    ],
    "maxItems": 150
}

Benchmark menu prices by cuisine

Take one cuisine across two cities and compare averagePrice, menuPriceAverage and mainCoursePriceAverage side by side in the Menus and prices view of the dataset.

{
    "searchQueries": ["Milan", "Rome"],
    "cuisine": "italian",
    "maxItems": 100
}

FAQ

What is TheFork? TheFork is Europe's restaurant booking site, with restaurants in France, Spain, Italy, Portugal, the Netherlands, Belgium, Switzerland, Austria, Germany, Sweden and a few cities beyond. It was LaFourchette in France and ElTenedor in Spain: lafourchette.com and eltenedor.es now open TheFork's French and Spanish sites. Paris alone lists 3,337 restaurants.

What does one row contain? One restaurant: its identity, cuisine, ratings, prices, address and GPS, hours, booking and offers, awards, amenities, full menu, photos, latest reviews, FAQ and nearby restaurants, 136 data fields in all. The table above lists each group.

Do I need a TheFork account? No. Everything returned is public on TheFork. There is no login and nothing to set up: type a city and press Start.

How do I find a restaurant id? It is the number after -r at the end of a TheFork restaurant address: https://www.thefork.com/restaurant/new-delhi-palace-r751236 has the id 751236. You can also paste the whole address in TheFork pages.

Can I get every restaurant in a city? Yes. Typing a city opens TheFork's full list for it (3,337 restaurants in Paris) and the actor reads it page after page until maxItems. Set maxItems above the city's count to take them all. On our test run, 60 Paris restaurants over three result pages took 20 seconds.

Does it return phone numbers or emails? No. TheFork does not show them on its public restaurant pages. Each row gives the full address, GPS coordinates and the TheFork page of the restaurant.

Why are some fields empty? TheFork fills them only when the restaurant does. On our Paris test run, opening hours were on 13 of 20 restaurants, a chef's name on a quarter of them, Michelin details on the starred ones only. An empty field comes back as null, so a missing value is never mistaken for a real one.

How many reviews do I get per restaurant? Up to the 20 latest, with text, rating, meal date, the diner and the owner's reply, plus the review counts, the food, service and ambience scores and the review languages. For thousands of reviews per restaurant, use a dedicated TheFork reviews actor.

How fresh is the data? Live. Every run reads TheFork at the time it runs: today's free times, today's bookings and the discounts running now. Schedule the actor to keep a history.

Can I combine a place, a cuisine and the offers filter? Yes. searchQueries: ["Paris"] with cuisine: "japanese" and offersOnly: true returns the Japanese restaurants of Paris running a discount right now, with the percentage on each row.

Which languages is the data in? English labels for cuisines, tags and features. Restaurant names, descriptions, menus and reviews stay in the language the restaurant and its diners wrote them in.

More SilentFlow scrapers

🛒 E-commerce

• Pinterest - Pinterest Scraper | Pins, Boards and Profiles
• Leboncoin - Leboncoin Scraper | Classified Ads, Prices and Sellers
• JD - JD Products Scraper | JD.com Prices, Brands and Barcodes
• Leboncoin - Leboncoin Ad Details Scraper
• TikTok Shop - TikTok Shop Scraper | Products, Sellers and Creator Videos
• Back Market - Back Market Scraper | Refurbished Prices
• ImportYeti - US Customs Records, Suppliers & Trade Data - ImportYeti Scraper - US Customs Records, Suppliers & Trade Data
• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• Udemy Course - Udemy Course Scraper
• Naver - Naver Products Scraper | Shopping Prices, Sellers and Ratings
• 1688 - 1688 Scraper | Products, Details, Wholesale Prices, Suppliers
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Amazon Seller - Amazon Seller Scraper | Emails, Phones and Ratings
• Store Leads Ecommerce - Store Leads Ecommerce Scraper
• Store Leads - Store Leads Scraper | Shopify Data
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Leboncoin - Leboncoin Scraper
• Bring a Trailer - Bring a Trailer Scraper
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Taobao - Taobao Scraper | Products, Details, Prices and Sellers
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• Avito - Avito Scraper | Listings, Prices and Sellers
• Udemy - Udemy Scraper
• Alibaba - Alibaba Scraper | Products, Supplier Companies and Prices
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Avito - Avito Profiles Scraper | Sellers, Ratings and Reviews
• Back Market - Back Market Scraper | Refurbished Electronics Prices
• BAUHAUS - BAUHAUS Scraper | Product Prices, EAN and Specs
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• Coupang - Coupang Detail Scraper | Product Prices and Options
• eBay Marketplace - eBay Marketplace Scraper
• Europages - Europages Scraper | Suppliers and B2B Companies
• Eventim - Eventim Scraper | Events, Ticket Prices and Venues
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• Leboncoin - Leboncoin Details Scraper | Full Ad Data and Sellers
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• Pinterest - Pinterest Scraper
• Vinted Marketplace - Vinted Marketplace Scraper
• Webmotors - Webmotors Scraper | Car Listings, Prices and FIPE
• Amazon - Amazon Product Scraper
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• eBay Listings - eBay Listings Scraper
• Europages Deep Dive Extractor - Europages Deep Dive Extractor | VAT, Decision Makers, ISO Certs
• GasBuddy - GasBuddy Scraper | Gas Prices by Station
• Goofish - Goofish Detail Scraper | Listings, Prices and Sellers
• Trip - Trip Scraper | Hotels, Prices and Reviews
• Vinted - Vinted Scraper
• Walmart - Walmart Scraper | Prices, Reviews, Sellers, Availability
• Walmart - Walmart Product Scraper

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Indeed - Indeed Company Reviews Scraper
• Multi Board - Multi Board Job Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• Malt - Malt Scraper | Freelance Profiles
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• Jora - Jora Jobs Scraper
• Malt Freelancer - Malt Freelancer Scraper
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• Glassdoor - Glassdoor Jobs Scraper
• Jobright - Jobright Scraper | Jobs, Salaries and H1B Sponsors
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• Cutshort - Cutshort Jobs Scraper | Salaries, Skills and Companies
• Dice - Dice Jobs Scraper | US Tech Jobs, Salaries, Skills
• Dice Tech - Dice Tech Jobs Scraper
• iimjobs - iimjobs Jobs Scraper | MBA, Finance and Hirist Tech Jobs
• Indeed - Indeed Jobs Scraper | Job Listings in 73 Countries
• Instahyre - Instahyre Jobs Scraper | Companies, Recruiters and Ratings
• Jora - Jora Scraper | Jobs in Australia, New Zealand, Singapore
• StepStone - StepStone Scraper
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• YCombinator - YCombinator Jobs Scraper | Startup Jobs, Salaries and Founders
• All - All Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Scraper | German and Austrian Job Board
• iimjobs - iimjobs Scraper | Jobs, Companies and Recruiters
• Indeed - Indeed Companies Scraper | Reviews, Salaries, Interviews
• Indeed - Indeed Jobs Scraper | NLP Skills
• LinkedIn - LinkedIn Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• Welcome to the Jungle - Welcome to the Jungle Scraper | Jobs and Company Data
• Ziprecruiter - Ziprecruiter Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Airbnb Professional Host - Airbnb Professional Host Scraper | Emails, Phones, SIRET
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Bienici - Bienici Scraper
• SeLoger - SeLoger Scraper | French Property Listings and Agencies
• Airbnb Search - Airbnb Search Scraper
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy
• Zillow - Zillow Scraper

📣 Social media

• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Facebook Search - Facebook Search Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• TikTok - TikTok Scraper
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• Instagram Engagement - Instagram Engagement Scraper
• OnlyFans - OnlyFans Profile Scraper
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• Meta Ad Library - Meta Ad Library Scraper
• OnlyFans - OnlyFans Creator Scraper
• Skool Community - Skool Community Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• YouTube - YouTube Transcript Scraper

🏢 Business data

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Google Maps - Google Maps Scraper
• Flight Price - Flight Price Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Booking - Booking Scraper | Hotel Prices, Photos, Availability

🎯 Lead generation

• Northdata - Northdata Company Scraper
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• Dealroom - Dealroom Scraper | Companies and Investors
• UK Companies House - UK Companies House Enricher
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SIRET - SIRET Company Enricher
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• Clutch Agency - Clutch Agency Scraper
• G2 - G2 Reviews Scraper
• PagesJaunes - PagesJaunes Business Scraper
• SIRET French - SIRET French Company Enricher
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ZocDoc - ZocDoc Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Google News - Google News Scraper

📈 Marketing

• Pexels - Pexels Scraper | Photos, Videos and Download Stats
• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text

🧰 More tools

• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available restaurant listings, menus, ratings and reviews from TheFork. It does not bypass any login, paywall or CAPTCHA, and never uses a TheFork account. Users are responsible for complying with TheFork's terms of service and applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Review rows carry diners' first names and initials and their photos, which can be personal data: handle them accordingly, keep only what you need, and honor removal requests. TheFork is a trademark of its owner; this Actor is not affiliated with or endorsed by TheFork. The data returned is informational; verify accuracy for regulated use cases.

TheFork Scraper by SilentFlow: every restaurant of a city, with its menu, ratings, hours and offers, ready for your spreadsheet.