Get detailed restaurant data, diner reviews, and full menus from TheFork for any city.
Paste any TheFork URLs (1-10). City pages extract restaurants, restaurant pages extract reviews. Mix both types freely!
Maximum restaurants to extract from each city URL. For large cities (1000+), extraction uses automatic pagination. Paris has ~3500, London ~2800, Madrid ~2200 restaurants.
Starting page for pagination (1-based). Use this to resume scraping from a specific page. Page 1 = restaurants 1-25, Page 2 = 26-50, etc.
Extract full menu with all dishes, prices, preset menus, and FAQs. Adds $0.003 per restaurant. For 100 restaurants = $0.30 extra.
Fetch reviews for each restaurant. Billed per review at $0.001. For 100 restaurants x 50 reviews = $5.00 extra. Use maxReviewsPerRestaurant to control.
Limit reviews fetched per restaurant. Cost = restaurants x reviews x $0.001. Example: 100 restaurants x 20 reviews = $2.00. Keep low to control costs.
Extract professional food photos. Billed at $0.001 per 10 photos. For 100 restaurants with 30 photos each = $0.30 extra. Set maxFoodPhotos to control costs.
Limit food photos per restaurant. Lower = lower cost. Set to 10 for samples, 30 for moderate coverage, 100 for complete galleries.
Results to deliver
1,200 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Extracts restaurant listings, diner reviews, menu items, and photos from TheFork. Use it to build lead lists, analyze local competition, or research menu pricing trends.
TheFork is a critical source for understanding the local dining scene, but manually collecting data is impossible. This tool automates the process, turning city-wide restaurant listings and individual restaurant pages into a structured dataset. There are two primary ways to use this tool: 1. **Market-level extraction:** Provide one or more city URLs from TheFork (e.g., the main page for Paris or London). The tool will pull a list of restaurants, giving you key details like name, address, cuisine type, average price, and overall rating for each. 2. **Deep-dive extraction:** Provide URLs for specific restaurants. This allows you to pull detailed information, including full menus with dish names and prices, individual diner reviews with ratings and text, and both professional and customer-submitted photos. You have granular control over the data you collect and the associated costs. Optional settings allow you to fetch menus, reviews, and photos, with clear per-item pricing. This means you can run a low-cost scrape for a basic restaurant list or a more detailed extraction for in-depth analysis, only paying for the specific data points you need.
1
Find the TheFork URLs for the cities or specific restaurants you want to analyze.
2
Paste the list of URLs into the 'TheFork URLs' field.
3
Enable the options to include menus, reviews, or photos if you need that level of detail.
4
Set the maximum number of restaurants, reviews, and photos to control the scope and cost of your run.
5
Click 'Run' to start the data extraction.
6
Once finished, preview the data and download it as a CSV, Excel, or JSON file.