Restaurant operators
Local competitor scans
Compare nearby venues by rating, review count, cuisine label, price level, and open state before menu launches, franchise reviews, or new-market scouting.
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This Tripadvisor restaurant scraper turns restaurant search result pages into a structured CSV of listings, rankings, ratings, review counts, cuisine labels, price levels, open state, review snippets, images, and detail URLs. Import the workflow into the UScraper local desktop app, start from an approved Tripadvisor restaurant listing URL, and export Tripadvisor restaurants without writing a browser script.
CSV
13
Next loop
Listings
Free import
At a glance
Restaurant listings in spreadsheet form
Each row keeps the core discovery fields analysts usually need: restaurant name, search ranking, rating, review count, cuisine or type, price level, open state, menu signal, image URL, review snippets, and detail page link.
Pagination is already wired
The workflow exports the current page, checks whether a usable Next button or link exists, clicks it, waits for the next page update, and repeats until Tripadvisor stops offering another page.
Local desktop custody
The browser run and CSV export happen inside UScraper on your machine. That helps teams who want a local Tripadvisor restaurant listings scraper rather than a metered cloud actor.
Built for filtered searches
The included starter URL targets a filtered restaurant search, but you can swap in another Tripadvisor restaurant results URL before running city, cuisine, or competitor research.
Who this is for
Restaurant operators
Local competitor scans
Compare nearby venues by rating, review count, cuisine label, price level, and open state before menu launches, franchise reviews, or new-market scouting.
Hospitality analysts
Market mapping
Use the CSV as a controlled input for territory dashboards, then pair it with the Tripadvisor restaurant reviews scraper when review-level sentiment is needed.
Agencies and researchers
Prospect lists
Build a first-pass list of restaurants and detail URLs, then enrich related web presence with sibling workflows like the Website Contact Details Scraper.
How to use
Set your search URL
Replace the starter Tripadvisor restaurant search URL with the city, cuisine, or filtered listing page your team is allowed to review.
Confirm the export path
Structured Export writes tripadvisor-restaurant-scraper-listing.csv with headers and append mode. Change the save folder before client or region-specific batches.
Run the workflow
UScraper navigates, waits for page load, pauses briefly, prepares hidden structured rows from the visible listing cards, and exports the current page.
Let pagination finish
The template checks for an enabled Next control, clicks it, waits for the next page or AJAX update, and loops back into extraction until the listing set ends.
Open and audit the CSV
Spot-check row counts, destination URLs, ratings, and review snippets before using the file in reporting, enrichment, or outreach workflows.
Output preview
The template is designed for restaurant listing research, not review-body harvesting. Use it when you need the searchable market view: which restaurants appear, where they rank, what category and price cues Tripadvisor shows, and which detail URLs deserve follow-up.
| restaurant_name | ranking | note | nombre_avis | type | niveau | etat | menu | url_detail |
|---|---|---|---|---|---|---|---|---|
| Le Jardin Sample Bistro | 1 | 4.5 | 1,284 reviews | French, European | $$$ | Open now | Menu | https://www.tripadvisor.com/Restaurant_Review-sample |
| Borough Noodle House | 2 | 4.0 | 842 reviews | Asian, Vegetarian Friendly | $$ | Opens in 25 min | https://www.tripadvisor.com/Restaurant_Review-sample-2 | |
| Casa Verde Kitchen | 3 | 4.5 | 516 reviews | Italian, Pizza | $$ - $$$ | Closed now | Menu | https://www.tripadvisor.com/Restaurant_Review-sample-3 |
tripadvisor-restaurant-scraper-listing.csvColumn
titre
Raw listing title text, often including the visible rank prefix.
Column
restaurant_name
Cleaned restaurant name with the numeric prefix removed where possible.
Column
ranking
Search-list rank or Tripadvisor ranking text when visible.
Column
image
Best available listing image URL from the card.
Column
note
Rating value, such as 4.5, when the card exposes it.
Column
nombre_avis
Visible review count text.
Column
type
Cuisine, establishment, or restaurant type labels.
Column
niveau
Visible price level, such as $, $$, $$$, or a range.
Column
etat
Open or closed state when Tripadvisor displays it.
Column
menu
Menu indicator when a menu link or button appears.
Column
avis1
First short review snippet detected on the listing card.
Column
avis2
Second short review snippet when present.
Column
url_detail
Canonical restaurant detail URL from the listing card.
Tripadvisor pages can be publicly viewable, but automated collection may still be limited by Tripadvisor terms, robots directives, copyright, privacy law, and local rules. Use this template only for permitted research, keep pacing conservative, avoid bypassing access controls, and get legal review before redistribution, resale, or model training.
Before you scale
Keep these constraints visible
Long or fast loops can trigger friction
Keep batches modest, avoid running many listing URLs in parallel, and stop if Tripadvisor asks for verification. The template is built for observable research, not bulk bypassing.
Listing cards can change without notice
Missing ratings, images, snippets, or cuisine values can mean Tripadvisor changed its rendered layout or hid a field for that search. Re-test the starter URL after any empty export.
Review platform rules before reuse
Public restaurant listings can still carry usage restrictions. For licensed redistribution, SLAs, or contractual access, compare the export with Tripadvisor's official Content API path.
Related workflows
Pair this listing scraper with the Tripadvisor restaurant reviews scraper for diner-level review text, the Tripadvisor hotel scraper for hospitality coverage beyond restaurants, or the Google SERP Scraper when you need search visibility around the same venues. Browse the full UScraper template library or install the app from UScraper download before importing this free template.
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