TheFork Scraper: Restaurants, Menus, Prices, Reviews and Booking Offers

Extract complete restaurant data from TheFork (LaFourchette / ElTenedor) in minutes. You get full menus with prices, ratings and reviews, opening hours, current discounts and a 90-day offer calendar for every restaurant in a city, ready to export as JSON, CSV or Excel.

• 🍽️ Full menus with prices. Every dish, its description and price, plus set menus.
• ⭐ Reviews in every language, with food / service / ambience scores and the owner's replies.
• 💸 Live booking data: today's discounts (up to -50%), a 90-day offer calendar and bookable time slots.
• 🌍 11 countries: France, Italy, Spain, Portugal, UK, Germany, Austria, Switzerland, Belgium, Netherlands and Sweden.
• 🔎 Search by city name. Type "Paris" or "Madrid" and get every restaurant there, no URLs needed.

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What does TheFork Scraper do?

TheFork Scraper is an Apify actor for web scraping restaurant data from TheFork (thefork.com, also known as LaFourchette in France and ElTenedor in Spain), Europe's largest restaurant booking platform. Give it a city, a search page or a list of restaurant pages. It returns one clean, structured record per restaurant, holding everything the restaurant's TheFork page shows and more.

Who uses it:

• Restaurant tech and SaaS sales teams building restaurant lead lists by city, cuisine, price and rating.
• Market researchers and analysts comparing menus, prices and ratings across cities.
• Restaurant owners and groups monitoring competitors' prices, discounts and reviews.
• Food, travel and data apps that need fresh restaurant listings, menus and photos.
• Reputation and review-analysis tools that need multilingual review text at scale.

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✨ Key features

You get	Details
Restaurant profile	Name, cuisine, chef, full address, GPS coordinates, average price, public transport, awards (MICHELIN stars, Insider, Top Host)
Menu and prices	À-la-carte sections and dishes with descriptions and prices, set menus with their courses, number of PDF menu pages
Ratings	TheFork score /10, rating count, monthly rating count, food / service / ambience sub-scores, TripAdvisor rating, review counts per language
Reviews	Text, rating, meal date, likes, reviewer profile, the restaurant's reply, review photos
Booking and offers	Bookable yes/no, today's reservation count, best current discount, bookable time windows for the next days, a ~90-day calendar of daily offers, Yums loyalty rules
Practical info	Opening hours, payment methods, dietary options (vegetarian, gluten free…), features (Wi-Fi, terrace, languages spoken…), FAQ
Photos	Restaurant photo URLs, plus diner photos (optional)

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🧠 Why this TheFork scraper?

• It works on a protected site. TheFork uses DataDome bot protection on every page. This actor gets through automatically with a real browser and residential proxies, so you configure nothing.
• Local IPs, chosen automatically. Each restaurant is scraped through residential IPs in its own country (Paris → France, Madrid → Spain), which is what keeps blocks rare.
• Fast once it's in. A restaurant takes a few seconds after the initial connection. Expect a few hundred restaurants per hour.
• More data than the page shows. The 90-day offer calendar, reservations today, review counts per language and Yums rules aren't visible at a glance on the website.
• All the reviews, not just one language. TheFork's own review API quietly filters reviews to your browser's language. This actor asks for every language unless you choose one.
• Clean, typed output. Prices come as numbers with a currency, times as "12:00-14:30", dates in ISO format. Ready for spreadsheets, databases and BI tools.

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⚙️ Input

You only need one of searchLocations or startUrls. Everything else has sensible defaults.

Where to scrape

Field	What it does	Example
searchLocations	City or area names, typed like on TheFork's "Where" box. Each one is expanded into its restaurants.	["Paris", "Lisbon, Portugal"]
startUrls	TheFork restaurant pages (any country site) and/or listing pages (city pages, cuisine pages, search URLs with filters)	https://www.thefork.com/restaurants/rome-c461789/pizzeria-t896
maxRestaurantsPerSearch	How many restaurants to take from each location or listing. 0 = all.	50 (default 20)
searchResultsOnly	Fast mode: save only the listing summary (name, rating, price, offers, address, coordinates) without opening each restaurant.	true

Reviews

Field	What it does	Default
includeReviews	Scrape written reviews	true
maxReviewsPerRestaurant	Reviews per restaurant. 0 = all.	100
reviewsLanguage	all, or an ISO code such as en, fr, it, es	all
reviewsSortOrder	newest or oldest (by meal date)	newest
reviewsSince	Only reviews for meals on or after this date, e.g. 2026-01-01. Great for weekly updates.	none

Restaurant details

Field	What it does	Default
includeMenu	À-la-carte menu with prices, plus set menus	true
includeBookingInfo	Bookable times, the 90-day offer calendar, today's reservations	true
availabilityDays	How many days of bookable time windows to collect (1–90)	7
maxCustomerPhotos	Diner photos per restaurant (restaurant photos are always included)	0
proxyConfiguration	Leave as is. Residential proxies are required, and the country is picked automatically per restaurant.	Residential

Example inputs

Every restaurant in Paris, with its last 20 reviews:

{
  "searchLocations": ["Paris, France"],
  "maxRestaurantsPerSearch": 0,
  "maxReviewsPerRestaurant": 20
}

A quick lead list (no reviews, no menus) for three cities:

{
  "searchLocations": ["Madrid", "Barcelona", "Valencia"],
  "maxRestaurantsPerSearch": 200,
  "searchResultsOnly": true
}

All English reviews from this year for specific restaurants:

{
  "startUrls": [
    { "url": "https://www.thefork.com/restaurant/restaurant-auguste-gael-orieux-r26201" },
    { "url": "https://www.thefork.it/ristorante/fantasie-di-napoli-2-0-r814368" }
  ],
  "maxReviewsPerRestaurant": 0,
  "reviewsLanguage": "en",
  "reviewsSince": "2026-01-01",
  "includeMenu": false,
  "includeBookingInfo": false
}

💡 Tips for best results

• Add the country to the location ("Lyon, France" rather than "Lyon"). The actor then starts with the right proxy country and saves a few seconds.
• To filter by cuisine or vibe, open TheFork, pick a city and a filter (Pizzeria, Italian, Romantic, MICHELIN…), and paste that page's URL into startUrls.
• For big cities, start with searchResultsOnly: true to see what's there cheaply, then scrape full details for the restaurants you care about.
• For recurring monitoring, schedule the actor weekly with reviewsSince set to your last run date.

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📤 Output

Each restaurant is one item in the dataset. You can download it as JSON, CSV, Excel, XML or HTML, or read it through the Apify API.

Sample record (shortened)

{
  "restaurantId": 849456,
  "name": "Le petit blé noir",
  "url": "https://www.thefork.com/restaurant/le-petit-ble-noir-r849456",
  "cuisine": "French",
  "address": { "street": "188 Rue Saint-Maur", "zipCode": "75010", "locality": "Paris", "country": "France" },
  "latitude": 48.8713783,
  "longitude": 2.3724345,
  "averagePrice": { "amount": 22, "currency": "EUR" },
  "rating": 9.5,
  "ratingCount": 667,
  "reviewCount": 403,
  "ratingDistinction": "Excellent",
  "subRatings": { "food": 9.5, "service": 9.8, "ambience": 9.2 },
  "reviewLanguages": { "all": 403, "fr": 340, "it": 30, "en": 24 },
  "tripadvisorRating": 4.9,
  "paymentMethods": ["Credit Card", "TheFork Pay", "UnionPay"],
  "dietaryOptions": ["Vegetarian dishes"],
  "features": {
    "Features": ["Wifi"],
    "Languages spoken": ["French spoken"],
    "Other services": ["Homemade cuisine"]
  },
  "publicTransport": "Belleville/ Goncourt",
  "booking": {
    "isBookable": true,
    "bestDiscountPercentage": 50,
    "reservationsToday": 6,
    "bookableTimes": [
      { "date": "2026-10-28", "times": ["12:00-14:00", "18:30-22:00"] }
    ],
    "availabilityCalendar": [
      { "date": "2026-10-28", "offer": "-50%", "discountPercentage": 50, "yumsAvailable": false },
      { "date": "2026-12-01", "offer": "-30%", "discountPercentage": 30, "yumsAvailable": false }
    ]
  },
  "menu": {
    "updatedAt": "2025-10-13T06:53:32.705Z",
    "sections": [
      {
        "name": "Les galettes végétariennes",
        "items": [
          {
            "name": "La chèvre miel",
            "description": "Chèvre, miel, pommes caramélisées, noix",
            "price": { "amount": 10, "currency": "EUR" },
            "isMainDish": true
          }
        ]
      }
    ],
    "setMenus": []
  },
  "photos": ["https://cdn.thefork.com/tf-lab/image/upload/restaurant/…/341e3411-….jpg"],
  "reviewsAvailable": 403,
  "reviewsScraped": 30,
  "reviews": [
    {
      "reviewId": "450aa04c-ff51-49f6-bf97-f59785d9467e",
      "rating": 10,
      "mealDate": "2026-10-23T17:15:00.000Z",
      "text": "Les plats étaient délicieux et le cadre très agréable. Le service était parfait",
      "reviewer": { "name": "L.aurence N.", "reviewCount": 12, "memberSince": "2018-08-14T22:30:22.000Z" },
      "ownerReply": { "text": "Merci beaucoup", "status": "PUBLISHED" },
      "photos": []
    }
  ],
  "scrapedAt": "2026-10-28T13:20:51.091Z"
}

Field reference

Field	Meaning
restaurantId, uuid, url, slug	TheFork identifiers and the restaurant's page
cuisine, chefName, description	What the restaurant serves and who cooks
address, city, latitude, longitude	Location, ready for mapping
averagePrice	Average price per person, as a number plus currency
rating / ratingCount	TheFork score out of 10 and how many diners rated
reviewCount / reviewsAvailable	How many ratings come with written text (in the chosen language)
subRatings	Average food, service and ambience scores
reviewLanguages	Number of written reviews per language
ratingDistinction	TheFork's label, e.g. "Excellent"
tripadvisorRating, tripadvisorReviewCount	TripAdvisor figures shown on TheFork
openingHours	Opening hours per weekday, e.g. ["12:00-14:00","19:30-22:30"] (empty when the restaurant hasn't published them)
paymentMethods, dietaryOptions, features, tags, highlights	Practical information and TheFork's categories
awards	MICHELIN stars and review link, Insider, Top Host, TheFork Awards
booking.isBookable, booking.hasAvailability	Whether the restaurant takes TheFork bookings and has free tables
booking.bestDiscountPercentage, booking.currentOffer	The best discount running now
booking.reservationsToday	Bookings made on TheFork today, a popularity signal
booking.bookableTimes	Time windows you can book, per day
booking.availabilityCalendar	For the next ~90 days: each open day's best offer (-50%, MENU…), its id, and whether Yums can be used
booking.yums	TheFork loyalty (Yums) rules: pay-at-table bonus, exchange rates
menu.sections	À-la-carte menu: sections, then dishes with description, price and whether it's a main
menu.setMenus	Set menus with their courses and availability
menu.pdfMenus, menu.menuPhotoCount	Extra menu documents and photos the restaurant uploaded
photos	Restaurant photo URLs
customerPhotos, customerPhotoCount	Diner photos (when maxCustomerPhotos > 0) and how many exist
faq	TheFork's Q&A about the restaurant
reviews[]	rating (/10), mealDate, text, likes, reviewer (name, review count, member since), ownerReply, photos
scrapedAt	When the record was collected

With searchResultsOnly, each item is a lighter listing record: restaurantId, name, url, cuisine, address, country, coordinates, rating, ratingCount, averagePrice, priceRangeLevel, offers, isBookable, reservationsToday, paymentMethods, mainPhotoUrl.

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▶️ How to use TheFork Scraper

1. Open the actor and click Try for free.
2. Choose where to scrape. Type one or more cities into Search locations, or paste TheFork URLs into Start URLs.
3. Set the size. Pick Max restaurants per search and Max reviews per restaurant. Start small (for example 10 and 20) to see the data.
4. Leave the proxy as is. Residential proxies are needed and already selected.
5. Click Start. Results show up in the Output tab as each restaurant finishes.
6. Export to CSV, Excel or JSON, or connect it to Google Sheets, Make, Zapier or your own app through the Apify API.

Common workflows

• City lead list: searchLocations + searchResultsOnly: true → export to CSV → import into your CRM.
• Competitor tracking: a list of startUrls + a weekly schedule + reviewsSince → only new reviews and current prices each week.
• Menu and price research: a city search with includeReviews: false → compare menus and dish prices across neighbourhoods.

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📈 Use cases

1. Restaurant lead generation for B2B sales. Build targeted restaurant lead lists with name, full address, coordinates, cuisine, price level, rating and popularity (bookings today) for POS, delivery, booking or food-supplier sales teams. Note that TheFork doesn't publish phone numbers or emails; see the FAQ.
2. Price and menu benchmarking. Compare dish prices, set-menu offers and average spend across cities, cuisines or competitors, and track menu changes over time.
3. Review and sentiment analysis. Collect thousands of multilingual reviews with ratings and owner replies to measure satisfaction, spot recurring complaints or train models.
4. Discount and demand monitoring. Use the 90-day offer calendar and daily reservation counts to see who discounts, how deeply, on which days, and which places are in demand.
5. Market mapping and site selection. Map restaurant density, cuisines, ratings and price levels by neighbourhood with GPS coordinates before opening a new venue.

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💰 Pricing

You pay only for the data you get (pay per event):

Event	When it's charged
Restaurant scraped	Once for each full restaurant record
Review scraped	Once for each review included in a record
Search result	Once for each listing row in searchResultsOnly mode

See the Pricing tab for current prices. Turning reviews off, or lowering maxReviewsPerRestaurant, makes each restaurant cheaper. searchResultsOnly is the cheapest way to build a list.

Spending limit: if you set a maximum cost for a run, the actor plans around it. It takes only as many restaurants and reviews as the limit covers, then stops cleanly with everything collected so far in the dataset.

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🛠️ Advanced tips

• Speed: most of the time goes into the first connection of each session (roughly 10–60 seconds). After that, a restaurant takes a few seconds. Bigger runs are therefore much more efficient per restaurant than many tiny runs.
• Cost control: reviews are the largest part of each record. Lower maxReviewsPerRestaurant, or turn reviews off, for menu/price or lead-list jobs.
• Proxies: keep Residential proxies. Leave the country empty so it's chosen per restaurant. Only set one if every restaurant is in that country.
• Scaling to whole countries: split the work by city (one location per city) and set maxRestaurantsPerSearch: 0. Large cities have thousands of listings (Paris ≈ 3,350, Rome ≈ 1,700, Madrid ≈ 1,300).
• Run summary: each run saves a RUN_SUMMARY record in its key-value store with counts and any restaurants that failed.

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❓ FAQ

Does it return phone numbers, emails or websites? No. TheFork doesn't publish restaurant phone numbers, emails or websites anywhere on its site, so no scraper can get them from TheFork. You get the name, full address and GPS coordinates, which are enough to match restaurants with other sources.

Which countries are supported? Every country TheFork operates in: France, Italy, Spain, Portugal, United Kingdom, Germany, Austria, Switzerland, Belgium, Netherlands and Sweden. Restaurant URLs from any TheFork country site work (thefork.fr, thefork.it, thefork.es, lafourchette.com…).

Can I filter by cuisine, price or rating? Yes. Apply the filters on TheFork's website, copy the URL of the results page, and paste it into startUrls. Cuisine pages like /restaurants/rome-c461789/pizzeria-t896 work too. You can also filter the dataset afterwards by cuisine, averagePrice or rating.

Why are text labels in English? All restaurants are read from the international site (thefork.com), so TheFork's own labels (features, tags, FAQ) come back in English. Menus and reviews stay in the language they were written in.

Why is openingHours empty for some restaurants? Some restaurants don't publish opening hours on TheFork. Their booking.bookableTimes still shows when you can book.

Why does reviewsAvailable differ from ratingCount? Many diners leave only a score. ratingCount counts all scores; reviewsAvailable counts reviews with written text (in your chosen language).

The run started with only one restaurant and 12 reviews. Why? When the input is left exactly as prefilled, the actor runs a quick demo (1 restaurant, 12 reviews) so Apify's daily health check finishes fast. Change any field, for example add a location or change the review count, to run normally.

My run stopped with "Spending limit reached". What happened? The run hit the maximum cost you set for it. Everything scraped up to that point is in the dataset. Raise the run's maximum cost (in the run options) to collect more.

A run logs "rotating IP" or "switching proxy". Is something wrong? No. It means the actor moved to a fresh residential IP, or to IPs in the next restaurant's country. That's part of how it avoids being blocked. Failures are listed in the run's RUN_SUMMARY.

Is it legal to scrape TheFork? This actor collects publicly visible data only and doesn't log in. Reviews contain personal data (reviewer first names and initials), so make sure your use complies with GDPR and TheFork's terms. If in doubt, ask a lawyer.

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📞 Support

• Questions or feature requests: open an issue in the actor's Issues tab on Apify.
• Bug reports: please include the run ID (or a link to the run) and the input you used. That's usually all that's needed to reproduce it.
• Custom data or a tailored scraper: email me@ahmedhrid.com.

Looking for more restaurant and review data? Check my other actors on Apify for review and listing scrapers.