Local SEO teams
Citation audits
Compare restaurant names, phone numbers, websites, addresses, and hours against client records before fixing inconsistent listings across directories.
Limited Time — Lifetime Access for just $99. Lock in before prices rise.
This Tripadvisor restaurant scraper exports restaurant detail pages into a clean CSV for market research, local SEO audits, vendor discovery, and contact-data QA. Import the workflow into the UScraper local desktop app, replace the sample Tripadvisor restaurant URLs, and collect source URL, restaurant title, website, phone, email, address, and opening hours for every day of the week without writing a custom scraper.
CSV
13
Detail URLs
Built in
Free
At a glance
Use this template when you already have restaurant detail URLs and need a repeatable CSV export for contact fields, addresses, and weekly hours. For city or category discovery, collect candidate URLs first, then feed them into this detail workflow.
Restaurant contact data in one sheet
Export Tripadvisor restaurants to CSV with detail-page fields that are useful for local research: official website, phone number, email, address, and day-by-day hours.
Multi-URL detail loop
Replace the bundled Berlin restaurant URLs with your approved list and let UScraper visit each page, extract one row, and continue through the batch.
Local desktop execution
The template runs in your own browser session and writes the CSV to the folder configured inside Structured Export instead of routing output through a hosted scraping dashboard.
Built for real page variance
Tripadvisor may expose data through JSON-LD, visible page text, outbound links, or not at all. The workflow uses layered extraction so missing fields stay blank instead of breaking the whole export.
Who this is for
Local SEO teams
Citation audits
Compare restaurant names, phone numbers, websites, addresses, and hours against client records before fixing inconsistent listings across directories.
Hospitality researchers
Market mapping
Build a controlled restaurant contact dataset for a city, cuisine cluster, or competitor set, then review the CSV before analysis or enrichment.
Agency operators
Batch QA
Turn approved URL lists into spreadsheet rows for manual validation. Treat missing emails or websites as review flags, not scraping failures.
Pair this detail workflow with the Tripadvisor Restaurant Scraper for Listings when you need to collect restaurant URLs first. For adjacent travel datasets, compare it with the Tripadvisor Hotel Details Scraper, the Tripadvisor Review Scraper for Germany, and the full UScraper template library.
How to use
Replace the sample URLs
Open the Navigate block and replace the bundled restaurant detail URLs with your own approved Tripadvisor restaurant pages.
Confirm the export path
Structured Export writes tripadvisor-restaurant-scraper-detail.csv with headers enabled and append mode on. Change the save folder before client-specific runs.
Run the loop
UScraper loads each URL, waits for the page, checks for CAPTCHA markup, gives you a short manual-solve pause when needed, extracts structured fields, and advances to the next input.
Open and validate
Review several source URLs, confirm hours formatting, and verify important website, phone, or email fields before using the CSV in outreach, reporting, or enrichment.
Output preview
tripadvisor-restaurant-scraper-detail.csvColumn
URL_original
The Tripadvisor detail URL opened during the loop.
Column
Titre
Restaurant title from structured data, page heading, or fallback sample data.
Column
Website
Official restaurant website when Tripadvisor exposes an outbound link.
Column
Phone
Primary telephone number from structured data or tel links.
Column
Email address when a mailto link is present or known from the sample preview.
Column
Adresse
Street address and locality as available on the restaurant page.
Column
Dimanche
Sunday opening hours.
Column
Lundi
Monday opening hours.
Column
Mardi
Tuesday opening hours.
Column
Mercredi
Wednesday opening hours.
Column
Jeudi
Thursday opening hours.
Column
Vendredi
Friday opening hours.
Column
Samedi
Saturday opening hours.
Sample rows
2 of many
| URL_original | Titre | Website | Phone | Adresse | Dimanche | Lundi | Mardi | Mercredi | Jeudi | Vendredi | Samedi | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Restaurant Wilhelm | +49 30 3187324340 | Schlossplatz Humboldt Forum, 10178 Berlin Germany | Closed | Closed | 6:00 PM - 10:30 PM | 6:00 PM - 10:30 PM | 6:00 PM - 10:30 PM | 6:00 PM - 10:30 PM | Closed | |||
| Brasserie Colette Tim Raue | +49 30 21992174 | Passauer Strasse 5-7, 10789 Berlin Germany | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM | 12:00 PM - 3:00 PM / 6:00 PM - 11:00 PM |
FAQ
Tripadvisor pages can be publicly visible, but automated collection may still be limited by Tripadvisor terms, robots directives, privacy law, database rights, and local marketing rules. Keep runs modest, respect access controls and CAPTCHA prompts, avoid republishing restricted content, and get legal review before using the CSV for resale, enrichment, or outreach.
Practical guardrails
CAPTCHA screens require manual judgment
If Tripadvisor asks for verification, pause the workflow and decide whether the run should continue. Do not design around bypassing access controls.
Large batches need conservative timing
Add longer waits for slow networks, avoid parallel runs, and treat repeated empty rows or blocks as a signal to stop and review.
Selectors and page data can change
Tripadvisor layouts evolve. If title, website, hours, or address fields stop appearing, open the template and update the extraction logic before production use.
Download and use this template instantly
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All TemplatesHere are some of our most common questions. Can't find what you're looking for?
View All FAQsDownload UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.
Available on Windows 10+ and macOS 12+ · Need help? [email protected]