Hospitality analysts
Comp-set research
Compare hotel ranking, score, services, and nearby venue density across a destination shortlist before preparing market notes.
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This Tripadvisor scraper for France turns supplied Tripadvisor France hotel review URLs into a structured CSV of hotel facts: name, rating, review count, ranking, address, evaluation label, nearby hotels, nearby restaurants, nearby attractions, and services. Import the workflow into the UScraper local desktop app, replace the sample URLs, and export hotel research data without writing a custom crawler.
CSV
15
Multi-URL
Built in
Free
At a glance
This template is built for analysts who already have hotel detail URLs and need a repeatable Tripadvisor data extractor rather than a manual copy-paste pass. UScraper sets a large browser window, navigates through the URL list, waits for the page to load, checks the body, accepts common consent prompts where visible, and then exports a consistent row.
The automation is intentionally best-effort. The source workflow includes fallbacks for sample URLs that returned DataDome or CAPTCHA pages during testing, and it can derive some values from the URL when the live page is blocked. For production use, start with a trusted browser profile, non-headless browsing, compliant access settings, and small batches.
Tripadvisor hotel data to CSV
Export ratings, review counts, rankings, addresses, evaluation labels, nearby counts, nearby URLs, and service lists into a spreadsheet-ready file.
Multi-URL batching
Replace the bundled hotel URLs with your approved list. Loop Continue processes each page and Structured Export appends rows into one CSV.
Local desktop custody
The stock workflow writes output to your configured local folder. Hotel URLs and CSV rows stay on your machine unless you add a separate upload step.
Built for page variation
The extraction helper checks visible text, structured data, URL patterns, and known sample fallbacks before leaving a field blank.
Who this is for
Hospitality analysts
Comp-set research
Compare hotel ranking, score, services, and nearby venue density across a destination shortlist before preparing market notes.
Travel agencies
Supplier checks
Build a structured hotel workbook for itinerary planning, account reviews, or partner research without retyping Tripadvisor fields.
Data teams
Enrichment runs
Add Tripadvisor context to approved hotel URL lists, then spot-check rows before merging them with internal or licensed datasets.
For adjacent workflows, see the Tripadvisor Hotel Details Scraper, TripAdvisor Hotel Guest Reviews Scraper, Trip.com Scraper, and the full UScraper template library.
How to use
Add hotel URLs
Open the Navigate block and replace the sample Tripadvisor France hotel review URLs with the pages you are permitted to process.
Keep the waits in place
The workflow waits for page load, waits for body, and pauses briefly after the extraction helper so dynamic sections can settle.
Confirm the export path
Structured Export writes tripadvisor-scraper-for-france.csv with headers and append mode. Change the folder before client or destination-specific runs.
Run and inspect
Run a short batch first, open the CSV, and compare hotel name, rating, address, and services against the source page before scaling.
Output preview
The export uses French-friendly column names from the workflow definition. Some fields may be blank if Tripadvisor serves a verification page, hides a section, or changes the page layout.
| hotel_page_url | nom_du_hotel | notation | nombre_d_avis | ranking | adresse | evaluation |
|---|---|---|---|---|---|---|
| https://www.tripadvisor.fr/Hotel_Review-g188098-d619925-Reviews-THE_OMNIA.html | THE OMNIA | 5 | 1 288 avis | Nº 1 sur 107 hôtels à Zermatt | Auf dem Fels, Zermatt 3920 Suisse | Excellent |
| https://www.tripadvisor.fr/Hotel_Review-g1574376-d11621503-Reviews-Sani_Dunes.html | Sani Dunes | 5 | 1 031 avis | Nº 1 sur 6 hôtels à Sani | Sani 63077 Grèce | Excellent |
tripadvisor-scraper-for-france.csvColumn
hotel_page_url
The final Tripadvisor URL opened by the browser.
Column
nom_du_hotel
Hotel name from the page, structured data, fallback mapping, or URL slug.
Column
notation
Overall rating value when exposed on the page.
Column
nombre_d_avis
Visible review count, such as 1 288 avis.
Column
ranking
Hotel ranking text in the destination.
Column
adresse
Address from structured data or visible page text.
Column
services
Amenities and services joined into a multiline cell.
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper local desktop app | Teams that need Tripadvisor to CSV with local files and editable workflow blocks | Best for controlled URL batches, not unattended high-volume infrastructure |
| Hosted marketplace actors | Teams that want managed proxies, API endpoints, and vendor-side scheduling | URLs and output pass through another service and may bill per run or row |
| Tripadvisor Content API | Approved partners that need licensed content feeds | Requires partner access, compliance review, and API integration work |
Tripadvisor pages can be publicly viewable, but automated extraction may still be restricted by Tripadvisor terms, robots directives, copyright, privacy law, and contract rules. Use this template only for URLs you are allowed to access, keep runs modest, avoid bypassing verification, and get legal review before commercial reuse or redistribution.
Before you run
Keep these constraints visible
Long runs can trigger friction
Keep batches modest, avoid parallel loops, preserve waits, and stop when Tripadvisor serves repeated verification or incomplete pages.
Tripadvisor layouts vary by region
Empty services, rankings, or nearby counts usually mean a page variant changed, the section did not render, or the extraction helper needs a quick update.
Public pages still have reuse rules
Review Tripadvisor terms, robots directives, privacy obligations, and any contractual limits before republishing hotel data or using it in commercial datasets.
Download the free JSON, install the desktop app from UScraper download, and use this workflow when you need to export Tripadvisor hotels into a structured local CSV.
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