Last Updated: Nov 7, 2025. If you're interested in a historical dataset, check out Michelin Guide Awards Historical Dataset (2019–Present).

Context

At the beginning of the automobile era, Michelin, a tire company, created a travel guide, including a restaurant guide.

Through the years, Michelin stars have become very prestigious due to their high standards and very strict anonymous testers. Michelin Stars are incredibly coveted. Gaining just one can change a chef's life; losing one, however, can change it as well.

The dataset is curated using Go Colly.

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Content

The dataset contains a list of restaurants along with additional details (e.g., address, price range, cuisine type, longitude, latitude, etc.) curated from the MICHELIN Restaurants guide. The culinary distinctions (i.e., the 'Award' column) of the restaurants included are:

• 3 Stars
• 2 Stars
• 1 Star
• Bib Gourmand
• Selected Restaurants

Source Code

https://github.com/ngshiheng/michelin-my-maps

Context

Since 1900, Michelin is publishing today's well-known Michelin Guide which includes all kinds of helpful information for travelers such as restaurants' reviews.! Michelin has what's called restaurant inspectors who visit restaurants and award them with stars.

Content

The dataset contains information for all the restaurants awarded with a Michelin star/s in 2021. For instance, what cuisine do the awarded restaurants sever, their location, dining cost, etc? The data were scrapped through the Michelin Guide official website using python.

Source

Michelin Guide official website: https://guide.michelin.com/ (dataset created in December 2021)

Inspiration

• How many restaurants were awarded one, two, or three Michelin stars in 2021? • Where are these restaurants located across the globe? Which country has the most? • What type of cuisine is the most popular within awarded restaurants? • What is the cost of visiting such restaurants? Do more stars translate to a more expensive dinner?

These are examples of interesting questions that could be answered by analyzing this dataset.

If you are interested, please have a look at the Tableau dashboard that I have created to help answer the above questions. Tableau dashboard: https://public.tableau.com/views/MichelinStarRestaurants_16382046438400/MichelinGuide?:language=en-US&:display_count=n&:origin=viz_share_link

This meticulously curated dataset features 50 of the world's most acclaimed restaurants, spanning 19 countries across 5 continents. It provides comprehensive information about establishments that represent the pinnacle of culinary excellence, from Michelin-starred French institutions to innovative Nordic kitchens and contemporary Latin American cuisine.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?![enter image description here][1]