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Tripadvisor Search Scraper

A Tripadvisor search,
as rows.

Type what you would type into the search box - hotel, a city, a cuisine - or paste a Tripadvisor search URL, and the results come back as rows: the name, the category, the rating and review count, the address, a link and an image. Narrow it to hotels, restaurants, things to do or vacation rentals before you run.

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one-time 500 free rows$0.002 per row after8 columnsCSV · XLSX · JSON
How it works

A search box
with an export button.

Two controls beyond the query itself: how many results per search, and which kind of place you want.

  1. STEP 1Sign in to the platform.
  2. STEP 2Open the Tripadvisor Search Scraper.
  3. STEP 3Type your search terms or paste Tripadvisor search URLs, one per line - or upload a CSV, XLSX, TXT or Parquet file.
  4. STEP 4Set a limit per query, or set it to zero to take everything.
  5. STEP 5Choose the search type: all results, hotels, restaurants, things to do, or vacation rentals.
  6. STEP 6Click Get Data and download as CSV, XLSX or JSON.

The limit is per query, so five searches with a limit of a hundred is a hundred results from each - not a hundred altogether.

Why teams use it

A category of places,
not one page of them.

A plain search term is enough

You do not have to build a URL first. Type what you would type into the site's own search box, or paste a search URL if you already have one - both work, one per line, mixed freely in the same list.

Four ways to narrow it, plus everything

The search type is a choice of five: all results, or just hotels, restaurants, things to do, or vacation rentals. Picking one before the run is cheaper than pulling everything and filtering a category column afterwards.

An address and a link on the same row

Each result carries where the place is and where to read more, alongside its rating and review count - which is the difference between a list you can map and a list you have to click through.

What this page can and cannot tell you

The names are confirmed.
The contents are not.

Worth being straight about, because it changes how you should read the dictionary below.

The eight column names are solid, and doubly so. They are corroborated by two independent sources that agree exactly: the column array the platform publishes for this service, and the header row of every run export we hold - each workbook declares the same eight cells in the same order, with nothing differing between them.

What we cannot tell you is what the cells contain, because every export we hold is empty. All seven are a header row with no rows beneath it. The service's own message when that happens names the cause: Tripadvisor uses bot protection that blocks datacenter addresses, and a residential proxy is needed for live results. So this page prints no example values, no formats and no fill rates - with no populated run, we would be inventing them.

There is one structural gap worth knowing before you build on the file. The export carries a rating and a reviews count but no max_rating column, so the scale the rating is on is not recoverable from the export itself. That is a fact about the column list rather than a guess about the values, and it is the first thing to confirm on a first real run.

Try a search free
Data dictionary

Eight columns,
one result each.

The names are exact and doubly confirmed. Each entry says what the column is for - not what it will contain, because every export we hold is a header with no rows beneath it.

query
The search term or search URL you submitted, echoed on the row it produced. Group on this when one file covers several searches.
name
The name of the place as the result lists it.
category
What kind of place it is. Worth having even when you have already narrowed the search type, because it is what lets a mixed 'all results' run be split apart afterwards.
rating
The rating shown on the result. Read the note below before you compare these - there is no scale column in this export.
reviews
How many reviews the place has. A count, not the review text - there is no review body anywhere in this export.
address
Where the place is, as the result gives it.
url
The link to the place's own Tripadvisor page.
image
The image shown with the result.

The names are solid; the contents are not yet. The eight columns above and their order are corroborated by two independent sources - the column array the platform publishes for this service, and the identical header row of every run export we hold - so build your schema around those names with confidence. What this page will not tell you is what the cells hold: every export we hold is a header with no rows beneath it, and the service's own message names the reason, which is that Tripadvisor blocks datacenter addresses and live results need a residential proxy. Note the structural gap: there is a rating but no max_rating, so the rating's scale is not recoverable from the file and needs confirming against a real run before you compare or average anything. And because we have never held a populated run, this page makes no claim about extra fields in the JSON, about value formats, or about how often any column is filled - a small free-tier run is the honest way to answer all three for the searches you actually care about.

Run one search free
Run controls

A query, a limit
and a kind of place.

Everything the form offers, in the order you meet it. Both input forms can be mixed in the same list.

hotel https://www.tripadvisor.com/Search?q=rome One per line CSV · XLSX · TXT · Parquet upload Limit per query, or 0 for everything All Results Hotels Restaurants Things to Do Vacation Rentals One row per result
Common workflows

Three jobs people
most often run here.

What a search becomes once it is a table rather than a page.

Market view

See every hotel in a city at once

One search, narrowed to hotels, with the limit set high, gives you the field as a single table - names, ratings, review counts and addresses side by side. That is a market map rather than an afternoon of scrolling.

Research · Strategy
Competitive

Track where you sit against the field

Run the same search on a schedule and compare the files. Rating and review count moving relative to the places around you is the useful signal, and it is a diff rather than a monitoring habit somebody has to keep up.

Hospitality · Marketing
Prospecting

Build a list of venues to approach

Suppliers and agencies use a category search as a lead list: the name, the address and the link on one row is enough to research and contact from, and category keeps a mixed run sortable.

Sales · Partnerships
Get started
Pricing

Pay only for the results
you actually pull.

No subscription, no minimum, no recurring bill. Your first 500 rows are on us - after that, pay-as-you-go at the same flat rate as every other scraper here.

Free tier

500 free rows - $0

Every new account, one-time. No credit card required. Per-query limits, every search type, file upload and every export format included - and enough to see what a real run returns for your own searches.

$0 forever
Pay-as-you-go

$0.002 per row, after the free tier

The same flat rate as every other scraper on the platform. The pre-flight estimator shows the row count and credit cost before a run starts - worth a glance here, because the limit is per query and a list of searches multiplies.

Most popular
Volume

Custom · high volume

Volume pricing, dedicated workers and an SLA for tracking a category on a schedule. Tell us your numbers and we will quote.

Talk to us
Start free See full pricing
10% off your first paid run.Use code LIVESCRAPER10 at checkout.
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Pairs well with

Once you have
the places.

A search gives you the field. These three carry on from there.

Tripadvisor Reviews Monitoring

Put a standing watch on the listings this search turns up. Worth reading its data dictionary first - that export records the monitor and its check rather than the reviews themselves.

Explore

Google Maps Scraper

The same places from the other direction, with phone numbers and websites attached. For most venues it is the fuller record, and the two join on name and address.

Explore

Airbnb Search Scraper

The short-let side of the same market. If the vacation-rentals search type is what you came for, this is the other half of that picture.

Explore
The legal bit

Is it legal to scrape
Tripadvisor search results?

Short answer: these are public listing results, and no person is named in the eight columns.

Everything in this export is shown on a public results page to any visitor, signed in or not. No login is used, no paywall is crossed and no account is touched, and the run goes through our proxy pool rather than your own IP. No person is named anywhere in these eight columns - reviews is a count rather than review text, so no reviewer and no review body comes back. It is places, ratings and addresses, which puts it at the lighter end of the range for data-protection purposes.

Tripadvisor's own terms restrict automated access, so this is a terms question as well as a legal one - read them before you scale rather than relying on the pages being public. It is also worth knowing that the site uses bot protection which blocks datacenter addresses; that is why every export we hold came back empty, and it is a practical constraint rather than a legal one.

If you republish the images or the listing copy, remember those are somebody else's photography and words - collecting them for analysis is one question, publishing them is another. We run no third-party trackers on the data layer, and your exports auto-delete after 30 days.

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livescraper.app · principles
Public results pages only✓
No logins, no accounts touched✓
Places and ratings - nobody is named✓
Datacenter IPs are blocked by the site!
Exports auto-delete (30 days)✓
Check Tripadvisor's own terms before scaling.
Common questions

Things people
ask before signing up.

The questions we hear most. Anything else? Talk to us - humans, not bots, write the answers.

How do I scrape Tripadvisor search results?+
Using the Tripadvisor Search Scraper: sign in to the platform, open the Tripadvisor Search Scraper, type your search terms or paste Tripadvisor search URLs one per line (or upload a CSV, XLSX, TXT or Parquet file), set a limit per query or set it to zero to take everything, choose the search type, then click Get Data and download the result as CSV, XLSX or JSON.
What can I use as input?+
Either a plain search term - the sort of thing you would type into the site's own search box - or a tripadvisor.com/Search URL. Both work, one per line, and you can mix them in the same list. You do not have to build a URL first.
Can I limit it to hotels or restaurants?+
Yes. The search type is a choice of five: all results, hotels, restaurants, things to do, or vacation rentals. All results is the default. Narrowing before the run costs less than pulling everything and filtering the category column afterwards.
What columns will I get?+
Eight, in this order: query, name, category, rating, reviews, address, url and image. Those names are confirmed twice over - by the column array the platform publishes for this service and by the header row of every run export we hold, which declares the same eight cells in the same order.
Why does this page not show example values?+
Because every export we hold is empty, and we would rather say so than invent them. All seven are a header row with no rows beneath it. The service's own message when that happens names the cause: Tripadvisor uses bot protection that blocks datacenter addresses, and live results need a residential proxy. The column names are solid; the cell contents are not something we can honestly describe yet.
What scale is the rating on?+
We cannot tell you from the file, and this is the one structural gap worth knowing before you build on the export. There is a rating column and a reviews count, but no max_rating column, so the scale is not recoverable from the export itself. Confirm it on a first real run before you compare or average anything.
Does it return the review text?+
No. The reviews column is a count of how many reviews a place has, not the reviews themselves - there is no reviewer name and no review body anywhere in these eight columns.
How does the limit work?+
It is per query, not per run. Five searches with a limit of a hundred is a hundred results from each, so a list of searches multiplies - glance at the estimator before a large run. Set it to zero to take everything a search returns.
How much does it cost?+
The first 500 rows are free and one-time, with no credit card. After that it is $0.002 per row - the same flat rate as every other scraper on the platform. The estimator shows the cost of a run before it starts.

Turn a search box
into a table you can sort.

Your first 500 rows are free - no card, no subscription. After that it is $0.002 per row, flat.

Start free See full pricing
Activates instantly · no card required

Scrape Tripadvisor search results into a spreadsheet

The Tripadvisor Search Scraper turns a search into rows. You submit plain search terms - the sort of thing you would type into the site's own search box - or tripadvisor.com/Search URLs, one per line or uploaded as a CSV, XLSX, TXT or Parquet file, set a limit per query, and choose whether you want all results or just hotels, restaurants, things to do or vacation rentals. Every result comes back as a record with the query it came from, the name, the category, the rating and review count, the address, a link and an image. Eight columns, one row per result, downloadable as CSV, Excel or JSON.

The column names on this page are solid, and the cell contents are not described, because every export we hold is empty. The eight names and their order are corroborated by two independent sources that agree exactly: the column array the platform publishes for this service, and the header row of all seven run exports we hold, each declaring the same eight cells. But all seven are a header with no rows beneath it, and the service's own message names the reason - Tripadvisor uses bot protection that blocks datacenter addresses, and live results need a residential proxy. So there are no example values here, no formats and no fill rates: with no populated run, they would be invented.

One structural gap is worth carrying into your schema. The export has a rating column and a reviews count, but no max_rating, so the scale the rating sits on cannot be recovered from the file itself and needs confirming on a first real run before you compare or average anything. Note also that reviews is a count rather than review text - no reviewer name and no review body appears in this export at all.

On the legal side this is among the lighter exports in our catalogue: public results pages, no login and no paywall, and no person named in any of the eight columns. It is places, ratings and addresses. Tripadvisor's own terms still govern automated collection from their site, so read them before you scale, and remember that listing images and copy are somebody else's work if you intend to republish them. Start free: your first 500 rows cost nothing and need no credit card, and after that it is $0.002 per row, flat.