How to scrape travel attractions data from Michelin Guide
- Minexa.ai
- 6 days ago
- 3 min read
The Michelin Guide has been a trusted reference for travelers for over a century. Today, its website lists hotels, stays, and travel destinations with rich structured detail: names, locations, categories, ratings, and more. That data is publicly visible, but pulling it into a usable format page by page is slow and error-prone work.
This guide shows how to extract that data using Minexa.ai, a web data extraction tool that works directly from your browser. No code, no selectors, no manual copy-paste. The full process from install to export takes under ten minutes.
What data is on the Michelin Guide hotels page
The starting URL for this extraction is guide.michelin.com/nl/nl/hotels-stays. This listing page shows hotel and stay results across destinations, with each card containing details like the property name, location, category type, and a link to the full detail page.
Minexa automatically identifies all extractable fields within the listing container. You do not need to specify which fields you want upfront. The tool surfaces and ranks them for you during scraper creation.
Step 1: Open Minexa.ai and navigate to the page
Install the Minexa.ai Chrome extension from the Chrome Web Store. Once installed, navigate to the Michelin Guide hotels and stays page in your browser.
Step 2: Open the extension and confirm the page
Click the Minexa.ai extension icon in your Chrome toolbar. The popup will appear with a button labeled I'm on the right page. Click it to confirm you are on the page you want to scrape.
Step 3: Review pagination detection
Minexa scans the page and detects pagination automatically. You will see a list of the pagination links it found, along with a Continue button. This means the scraper will move through all result pages without any additional configuration on your part.
Step 4: Choose your scraping mode
Minexa gives you two options: scrape the list page only (faster, covers all listing fields), or follow each result link and also extract data from the individual detail pages. For most travel data use cases, starting with the list is enough to get names, locations, categories, and links in one pass.
Watch the full video tutorial below to see each of these steps in real time:
Step 5: Select the data container
Minexa highlights the HTML container holding the full list of hotel results. You confirm the selection, and Minexa takes over from there, automatically identifying every data point within that container.
Step 6: Complete configuration and create the job
Once the scraper is created, Minexa shows a code sample screen and a Complete Configuration button. Click through to finalize the job. You will land on a job summary screen where you can optionally set up a recurring schedule if you want the data refreshed automatically.
Step 7: Run the job and view results
From the jobs list, click the run button to start extraction. Minexa begins pulling data across all paginated pages. Results appear in a live table as records come in, and once the job finishes, you can export everything to Excel or JSON.
Sample extracted data
Here is a sample of what the structured output looks like after extraction from the Michelin Guide hotels listing:
[
{
"name": "Hotel Okura Amsterdam",
"location": "Amsterdam, Noord-Holland",
"category": "Hotel",
"detail_link": "https://guide.michelin.com/nl/nl/noord-holland/amsterdam/hotel/hotel-okura-amsterdam"
},
{
"name": "The Dylan Amsterdam",
"location": "Amsterdam, Noord-Holland",
"category": "Hotel",
"detail_link": "https://guide.michelin.com/nl/nl/noord-holland/amsterdam/hotel/the-dylan-amsterdam"
},
{
"name": "Conservatorium Hotel",
"location": "Amsterdam, Noord-Holland",
"category": "Hotel",
"detail_link": "https://guide.michelin.com/nl/nl/noord-holland/amsterdam/hotel/conservatorium-hotel"
}
]Reusing the scraper
Once trained, the scraper works across all structurally similar Michelin Guide listing pages. You can point it at different regional URLs or category filters without retraining. The scraper ID stays the same and the column structure remains consistent across runs.
If you want to run this extraction on a schedule, for example to track new listings added each week, the job scheduling option is available directly from the job summary screen inside the extension.
To get started, install the Minexa.ai Chrome extension and navigate to the Michelin Guide hotels page. The first structured dataset is ready in under ten minutes.
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