Michelin Restaurant Scraper

Overview

The Michelin Restaurant Scraper is an Apify actor that extracts restaurant data from the Michelin Guide, the world's most prestigious restaurant rating system. It collects restaurant names, star ratings, cuisine types, price ranges, addresses, descriptions, and facilities for fine dining research, travel planning, and culinary market analysis.

Features

• Search Michelin-starred restaurants by city and country
• Filter by star rating (1, 2, or 3 Michelin stars)
• Extract cuisine types and price range indicators
• Collect restaurant addresses and descriptions
• Support for all countries covered by the Michelin Guide
• Include Bib Gourmand and Michelin Selected restaurants

Input Configuration

The actor accepts the following input parameters:

• city - City to search for restaurants (e.g., New York, Paris, Tokyo). Defaults to New York.
• country - Country code for the Michelin Guide region (e.g., us, fr, jp). Defaults to us.
• starRating - Array of star ratings to filter by (1, 2, or 3). Defaults to all stars.
• maxResults - Maximum number of restaurants to return. Defaults to 100.

Output Format

Each restaurant entry in the output dataset includes:

• restaurantName - Name of the restaurant
• starRating - Michelin star count (1, 2, or 3) or designation
• cuisine - Primary cuisine type
• priceRange - Price level indicator
• address - Street address
• city - City name
• country - Country code
• description - Michelin Guide description
• facilities - Available facilities and amenities
• url - Michelin Guide page URL
• scrapedAt - Data extraction timestamp

Use Cases

This scraper is ideal for food enthusiasts planning fine dining trips, travel companies curating luxury dining experiences, food writers and critics researching Michelin-starred restaurants, hospitality consultants analyzing fine dining markets, restaurant investors evaluating competitive landscapes, and data journalists covering culinary trends. The star rating filter allows focused research on specific tiers of fine dining.

Cost and Performance

The actor runs on minimal memory (256 MB) and processes restaurant listings quickly. Pricing follows Apify platform billing with pay-per-event at $0.75 per 1,000 results, making it economical for building comprehensive fine dining databases.

Integrations

Export Michelin restaurant data using Apify integrations to Google Sheets, databases, Slack, Zapier, or webhooks. The JSON output works perfectly with travel planning tools, restaurant recommendation systems, and data visualization platforms.

Tips and Troubleshooting

• Use standard country codes: us, fr, gb, jp, it, de, es for best results
• Cities with many Michelin restaurants include New York, Paris, Tokyo, London, and San Francisco
• The Michelin Guide coverage varies by country; check guide.michelin.com for supported regions
• For Bib Gourmand restaurants, set starRating to an empty array or use all star filters