Tripadvisor Scraper: Places, Reviews, Hotel Prices

Tripadvisor Scraper turns a search, a place link or a place ID into rows of hotels, restaurants, attractions and reviews from public Tripadvisor pages, with no login. Use the rows to compare places in a city or to study guest feedback. A first run with 10 places takes about 20 to 35 seconds and costs about $0.03.

Table of contents

• What it does
• How it works
• Quick start
• Use cases
• Input
• Output
• Pricing
• Limits
• API, export and integrations
• Troubleshooting
• FAQ
• Related Actors
• Support

What it does

This Actor reads public Tripadvisor pages and saves clean rows in an Apify dataset. It has three modes:

• Search for places finds hotels, restaurants and attractions from a search like Pattaya restaurants.
• Place details reads one place or a list of places.
• Reviews collects reviews of the places you choose, with filters.

A place row can hold the rating, review count, rank, address, phone, website, coordinates, opening hours, awards and hotel offers. A review row can hold the text, rating, dates, trip type, language, helpful votes and the owner's reply.

Good fit

• You compare restaurants, hotels or attractions in one city.
• You read what guests say about your place or a competitor.
• You check hotel prices for your stay dates.
• You feed fresh place data to a spreadsheet, a database or an AI agent.

👉 Try it now: open the input form

How it works

1. You give a search, links, place IDs or a dataset with links.
2. The Actor opens the public pages and reads up to one page per second. It applies your place types and review filters.
3. It saves place rows or review rows in the dataset. It also saves a run summary with the counts and the reason the run stopped.

If an input finds nothing, you get a free status row that explains why. You never get a silent empty result.

👉 Try it now: open the input form

Quick start

1. Open the Input tab and keep What to collect on Search for places (box 1).

2. Keep Pattaya restaurants in Search query or place ID, or type your own city and place type (box 2).

3. Keep Maximum places at 10 (box 3).

4. Click Start at the bottom of the page (below the form, not in the picture).

5. When the run ends, open the Output tab and keep the Places view (box 5).

   

6. Check name, type, rating and reviewsCount (box 6).

7. Check ranking to see the place's position in its city (box 7).

Expected result: 10 place rows in about 20 to 35 seconds, for about $0.03.

👉 Try it now: open the input form

Use cases

Buyer job	Input path	Output entity	Key fields	Next integration
Compare restaurants in a city	mode: search, query	Place	name, rating, reviewsCount, ranking, priceLevel	CSV or Excel export
Study guest feedback	mode: reviews, placeUrls	Review	rating, title, text, publishedDate, tripType	Spreadsheet or AI agent
Check hotel prices for your dates	mode: place, placeUrls, checkInDate, checkOutDate	Place	name, offers, priceRange, roomCount	API
Find top attractions for a trip plan	mode: search, query, placeTypes	Place	name, ranking, tags, openingHours, awards	Slack or Notion summary
Watch new reviews of your place	mode: reviews, placeUrls, recentDays	Review	publishedDate, rating, text, ownerResponse	Apify schedule

👉 Try it now: open the input form

Input

Input fields

You must give at least one of query, placeUrls, startUrls or sourceDatasetId. Empty lists mean "no filter". Repeated places are read once.

Field	Plain name	Type	Required	Default / prefill	Allowed values	Effect	Example	Recommendation
mode	What to collect	string	no	default search	search, place, reviews	Picks place rows or review rows	reviews	Start with search
query	Search query or place ID	string	one input needed	prefill Pattaya restaurants	City, business name, numeric ID or URL, up to 300 characters	Finds places	Lyon hotels	Add the place type to the city
placeUrls	Place or listing URLs	array	one input needed	empty	Up to 100 place, city list or public trip links, or numeric IDs. Each is up to 2,048 characters	Reads these pages	["186338"]	Use for known places
startUrls	Start URLs	array	one input needed	empty	Up to 100 Tripadvisor links, each up to 2,048 characters	Same as placeUrls	a place link	Use when you move from another scraper
sourceDatasetId	Source dataset	string	one input needed	empty	A dataset you can read, up to 100 rows	Reads place links from its rows	a dataset ID	Use to chain runs
maxItems	Maximum places	integer	no	default and prefill 10	1 to 1,000,000	Stops after this many unique place checks	50	Keep low on a first run
maxReviews	Maximum reviews per place	integer	no	default 100	1 to 1,000,000	Limits reviews from each place	300	Controls the cost
maxResults	Maximum reviews in total	integer	no	default 1000	1 to 1,000,000	Limits reviews across all places	5000	Raise it for big jobs
placeTypes	Place types	array	no	all three types	restaurants, hotels, attractions	Limits a city search	["hotels"]	Pick one for a clean list
reviewLanguages	Review languages	array	no	empty	Up to 10 language codes	Keeps these original languages	["en","fr"]	Leave empty for all
reviewRatings	Review ratings	array	no	empty	"1" to "5"	Keeps these ratings	["1","2"]	Use to read complaints
travelerTypes	Traveler types	array	no	empty	FAMILIES, COUPLES, SOLO, BUSINESS, FRIENDS	Keeps these groups	["FAMILIES"]	Leave empty for all
monthsOfVisit	Months of visit	array	no	empty	"1" to "12"	Keeps these visit months	["7"]	Use for season checks
keyword	Review keyword	string	no	empty	An English word or phrase, up to 200 characters	Searches inside reviews	breakfast	Use one short word
since	Reviews since	string	no	empty	YYYY-MM-DD	Keeps reviews from this date	2026-01-01	Use for a fixed period
until	Reviews until	string	no	empty	YYYY-MM-DD	Keeps reviews up to this date	2026-06-30	Use with since
recentDays	Recent days	integer	no	default 0 (off)	0 to 36,500	Keeps reviews from the last days	30	Use on a schedule
sortBy	Review order	string	no	default mostRecent	mostRecent, mostHelpful, detailed	Sets the review order	mostHelpful	Keep the default
scrapeReviewerInfo	Include reviewer information	boolean	no	default true	true, false	Adds public reviewer data	false	Turn off if you do not need names
includeAiReviewsSummary	Include AI review summary	boolean	no	default false	true, false	Adds the summary shown on the page	true	Not all places have one
includeNearbyResults	Include nearby places	boolean	no	default false	true, false	Adds nearby places	true	Use for area checks
includeTags	Include tags	boolean	no	default true	true, false	Adds cuisine, amenity and type tags	false	Keep on
maxPhotosPerPlace	Maximum place photos	integer	no	default 0 (off)	0 to 100	Adds photo links	5	Keep low
photosType	Photo contributors	string	no	default fromEveryone	fromEveryone, fromTravelers, fromManagement	Picks whose photos to add	fromTravelers	Use with photos on
checkInDate	Hotel check-in date	string	no	empty	YYYY-MM-DD	Asks for offers on these dates	2026-12-10	Set both dates
checkOutDate	Hotel check-out date	string	no	empty	YYYY-MM-DD, after check-in	Asks for offers on these dates	2026-12-12	Set both dates
currency	Currency	string	no	default USD	Currency code	Sets the offer currency	EUR	Use with hotel dates
language	Language	string	no	default en	Language code	Sets review labels	fr	Keep the default
locale	Site locale	string	no	default en-US	Site locale	Sets labels and review responses	fr-FR	Keep the default
outputShape	Review output	string	no	default flat	flat, nested	One row per review, or reviews inside a place row. A place with more than about 2,500 reviews takes several rows	nested	Keep flat for tables
deliveryConnector	Send results to (optional)	string	no	empty	Your MCP connector, up to 200 characters	Posts a short summary	your Slack connector	Optional
deliveryTarget	Notion page or channel (optional)	string	no	empty	Notion page link or Slack channel ID, up to 2,048 characters	Sets where it posts	a channel ID	Optional
maxPages	Maximum pages per listing or place	integer	no	default 50000	1 to 1,000,000	Stops a long scan	100	Keep the default
proxyMode	Connection route	string	no	default auto	auto, direct, datacenter	Picks the connection	direct	Keep auto
proxyGroups	Datacenter proxy groups	array	no	empty	Up to 5 datacenter group names	Picks proxy groups	["SHADER"]	Leave empty

Interacting settings

When	Input A	Input B	Effective behavior	Example	Cost/result effect
Both are set	placeUrls	query	Links win, and the search is ignored	A link plus a city	Only the links are charged
Both are set	since	recentDays	since wins	A date plus 30 days	Fewer or more reviews
A date filter is set	since or until	sortBy	Reviews run from most recent first	mostHelpful plus a date	Order changes
Reviews mode	maxReviews	maxResults	The first limit reached stops the run	100 per place, 1,000 in total	Caps review charges
Only one date is set	checkInDate	checkOutDate	The run stops before work with a clear message	Check-in only	Start fee only
Nested output	outputShape	maxReviews	One place row holds its reviews	3 reviews inside 1 row	Each review is still charged
Search with a city	query	placeTypes	Only chosen types are read	Lyon, hotels only	Fewer place checks

Input examples

Search for places

{
  "mode": "search",
  "query": "Pattaya restaurants",
  "maxItems": 10
}

Expected behavior: the Actor opens the restaurant list for Pattaya and reads 10 place pages. Expected output: 10 place rows with name, rating, reviewsCount, ranking and phone. Limit or cost note: about 20 to 35 seconds and about $0.03.

Reviews with filters

{
  "mode": "reviews",
  "placeUrls": ["https://www.tripadvisor.com/Hotel_Review-g187147-d207742-Reviews-Intercontinental_Paris_Le_Grand_By_IHG-Paris_Ile_de_France.html"],
  "maxReviews": 300,
  "reviewRatings": ["1", "2"],
  "maxResults": 300
}

Expected behavior: the Actor reads the review pages of this hotel and keeps only 1 and 2 star reviews. Expected output: up to 300 review rows with rating, title, text and publishedDate. Limit or cost note: without filters, 300 reviews of one place took 21 to 27 seconds and cost about $0.82.

👉 Try it now: open the input form

Output

Output fields

Fields depend on the row type and the place type. An empty field means the source did not show that value for this place.

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
recordType	Row type	string	no	place, review	Missing on status rows
status	Row state	string	no	complete, not_found, failed, invalid_url	Status rows are free
reason	Why a status row exists	string	on data rows	NO_RESULTS, NO_MATCHING_REVIEWS	Status rows only
placeId, locationId	Place ID	number	on some status rows	12283373	From the place link
name	Place name	string	conditional	Longhorn Steakhouse & Grill	Place and review rows
type	Place type	string	conditional	restaurant, hotel, attraction	Place rows
rating	Rating of the place or review	number	conditional	4.7	1 to 5
reviewsCount	Number of reviews	number	conditional	597	As the page shows it
ranking	Position in the city	string	conditional	#30 of 1,515 Restaurants in Pattaya	Text from the page
address, phone, website	Contact details on the page	string	conditional	+66 81 860 1575	Public values only
latitude, longitude	Coordinates	number	conditional	12.930813	Place rows
priceLevel	Price band	string	yes, often on attractions	$$ - $$$	Text from the page
priceRange	Hotel price range	object	yes	{minimum: 94, maximum: 156, currency: "USD"}	Empty when the source shows no range
offers	Hotel offers	array	yes	price text, amount, provider, currency, dates	Offers for your dates have no provider name
roomCount	Number of rooms	number	yes	390	Some hotels
description	Place description	string	yes		Some places
cuisines	Cuisines	array	yes	["Steakhouse"]	Restaurants only
amenities	Amenities	array	yes		Hotels only
tags	Cuisine, amenity and type tags	array	yes	["European"]	With includeTags
openingHours	Opening times	array	yes	{day, opens, closes}	Restaurants and attractions; the day format differs by type
awards	Awards of this place	array	yes	{type: "COE", year: 2026}	COE is Travelers' Choice; BOTB is Best of the Best
subratings	Ratings by topic	array	yes	{name: "food", rating: 4.5}	Rare on attractions
ratingHistogram	Count per star	object	yes	{five: 488}	Place rows
neighborhoods	Area names	array	yes		Some places
menuUrl	Menu link	string	yes		Some restaurants
aiReviewSummary	Summary shown on the page	string	yes		With includeAiReviewsSummary
nearbyPlaces	Nearby places	array	yes		With includeNearbyResults
photos	Photo links	array	yes		With maxPhotosPerPlace
url	Page link	string	no on data rows	a Tripadvisor link
id	Review ID	number	on place rows	1079747211	Review rows
title, text	Review title and text	string	conditional	Mixed	Review rows
publishedDate, date	Date and time of the review	string	conditional	2026-09-28T22:09:55.062Z	Review rows
travelDate	Month of the visit	string	yes	2026-09	Review rows
tripType	Traveler group	string	yes	FRIENDS	Review rows
language, lang, originalLanguage	Row language and original language	string	yes	en, fr	Review rows
isMachineTranslated	Text was translated by the source	boolean	yes	true	Review rows
helpfulVotes	Helpful votes	number	yes	1	Review rows
user	Public reviewer data	object	yes		With scrapeReviewerInfo
ownerResponse	The owner's reply	object	yes		When the place replied
placeInfo	Short place data on a review	object	yes		Review rows
reviews	Reviews inside a place row	array	yes		With nested output
query, sourceDatasetId	Input of a status row	string	yes		Status rows
source, fetchedAt	Source name and read time	string	no on data rows	Tripadvisor

Compared with some other scrapers, id is a number, publishedDate holds a date and a time, and an empty subratings is null or [].

Output entities and surfaces

The dataset has three views: Places, Reviews and Places with reviews.

Situation	Dataset/API/KVS/live view	Result shape	User action
Normal item	Dataset	One row per place or per review	Open a view or export the rows
Domain-empty result	Dataset	A free status row with status: not_found and reason	Check the search or relax the filters
Partial result	Dataset and RUN_SUMMARY	The saved rows, and a summary with the stop reason	Raise the limit or the timeout and run again
Technical failure or retry	Status message and RUN_SUMMARY	Saved rows are kept, and the run shows as failed	Try later, or open an issue with the run ID

Output example

This example is trimmed and comes from the first search example above.

{
  "recordType": "place",
  "status": "complete",
  "placeId": 12283373,
  "name": "Longhorn Steakhouse & Grill",
  "type": "restaurant",
  "rating": 4.7,
  "reviewsCount": 597,
  "ranking": "#30 of 1,515 Restaurants in Pattaya",
  "address": "216/47-48 Pattaya 2nd Rd Inside Plaza Arcade, 20150, TH",
  "phone": "+66 81 860 1575",
  "latitude": 12.930813,
  "longitude": 100.88198,
  "priceLevel": "$$ - $$$",
  "cuisines": ["Steakhouse", "European"],
  "awards": [{ "type": "COE", "year": 2026 }],
  "description": null,
  "menuUrl": null,
  "source": "Tripadvisor"
}

null means the page did not show this value for this place. Some fields fit only one place type. For example, cuisines fits restaurants, and amenities and offers fit hotels.

Send results to Slack or Notion

Choose your connector in the optional deliveryConnector field. When the run has saved its rows, the Actor posts a short summary there: up to 25 rows and a link to the full dataset. Put a Notion page link or a Slack channel ID in deliveryTarget. In Notion, each run goes on top of that one page, so you do not get a new page each time. If delivery fails, the run still succeeds, and delivery has no extra fee. Connect a service once in Apify Console → MCP connectors.

Use case → fields

Buyer job	Input path	Output entity	Key fields	Next integration
Rank places in a city	query	Place	name, ranking, rating	CSV export
Read complaints	placeUrls, reviewRatings	Review	rating, text, ownerResponse	Spreadsheet
Check stay prices	placeUrls, checkInDate, checkOutDate	Place	offers, priceRange	API

👉 Try it now: open the input form

Pricing

Pricing unit

You pay per event. Tripadvisor and Apify proxy use is included in the event price.

Event	When charged	No plan or Free	Bronze	Silver	Gold and above
Review	Each saved review	$0.0027	$0.00243	$0.00216	$0.00189
Place	Each saved place row	$0.0017	$0.00153	$0.00136	$0.00119
Place check	Each unique place the Actor opens	$0.001	$0.0009	$0.0008	$0.0007
Review page	Each page of reviews read	$0.0005	$0.00045	$0.0004	$0.00035
Start	Each run	$0.0036	$0.00324	$0.00288	$0.00252

Bronze saves 10%. Silver saves 20%. Gold, Platinum and Diamond save 30%. The start fee scales with run memory, per GB. Runs up to 1 GB pay it once, and this Actor's maximum is 512 MB.

• Search with no results: you pay the start fee only. The status row is free.
• Filter with no match: you pay the start fee, the place check and the review pages read. The status row is free.
• Partial and failed runs: you pay for what was saved or checked before the stop. You can set a maximum cost per run, and the Actor stops there.
• Platform use: it is included in these prices.

Cost examples

Prices below are for No plan or Free.

Scenario	Input scope	Expected item/event count	Base charge	Optional charge	Stop/cap behavior
First run	10 restaurants in Pattaya	10 places, 10 checks	about $0.03	none	Stops at maxItems
City list	100 restaurants in London	100 places, 100 checks	about $0.27	none	Set a 900-second timeout
300 reviews	1 attraction	300 reviews, 15 pages	about $0.82	none	Stops at maxReviews
700 reviews	1 hotel	700 reviews, 36 pages	about $1.91	none	Stops at maxReviews
No match	1 place, strict filter	1 check, 1 page	about $0.005	none	Free status row
Not found	A search with no result	start only	$0.0036	none	Free status row

👉 Try it now: open the input form

Limits

• Public pages only: there is no login, no private data and no email search.
• Speed: up to one request per second. A place usually takes 2 to 7 seconds, and reviews come at 11 to 16 per second. When Tripadvisor refuses a page, retries can stretch one place to about 45 seconds.
• Time limit: the Actor stops 20 seconds before your timeout and keeps the saved rows. The default 300 seconds fits about 40 places. 100 London restaurants took from 200 to 534 seconds, and one run saved only 94 places in 600 seconds. Tripadvisor pages load at different speeds, so use a 900-second timeout for 100 places.
• Direct inputs: up to 100 links in placeUrls, up to 100 in startUrls, and up to 100 rows in sourceDatasetId. A link can have up to 2,048 characters. You need read access to this dataset.
• City lists: the Actor reads the list as the source shows it. It does not split a big city into smaller areas, so a list can end before all places are read.
• Hotel offers: the list can be empty on a complete row. Offers for your dates have no provider name. Occupancy is fixed at 2 adults and 1 room.
• Page size: a single response over 8 MB is refused.
• Failures: 3 failed inputs in a row stop the run, and saved rows stay in the dataset. If no input works, the run shows as failed.
• Nested rows: one row holds up to 8 MB of reviews, about 2,500. A place with more reviews takes several rows. 300 reviews made a row of 0.84 MB.
• Connection: a direct connection comes first, and an Apify datacenter proxy follows after a block. Residential, Unblocker and SERP groups are not supported.
• Not included: Standby mode, a list of only new items, and custom scripts. Use recentDays on a schedule for recent reviews.
• Missing values: the source does not show every field for every place.
• Terms: Tripadvisor's terms restrict automated collection without permission, so check that your use is allowed. This Actor is not made or approved by Tripadvisor.

👉 Try it now: open the input form

API, export and integrations

• API: start the Actor through the Apify API with the same JSON input, then read rows from its dataset. This is not a Tripadvisor API.
• Export: download the dataset as CSV, Excel, JSON or XML.
• Scheduling: run a saved task on an Apify schedule, for example with recentDays for recent reviews.
• Webhooks / no-code: an Apify webhook or integration can start the next step when the run ends. It reads the rows from the default dataset.
• SDK / MCP / agent: use the Apify client for JavaScript or Python, or the MCP server below.

Use with AI agents (MCP)

MCP server URL with only this Actor: https://mcp.apify.com?tools=cliqtomedia/tripadvisor-scraper

The smallest useful input:

{ "mode": "search", "query": "Pattaya restaurants", "maxItems": 10 }

Key output fields:

• name: the place name.
• rating: the average rating, from 1 to 5.
• reviewsCount: the number of reviews.
• ranking: the position of the place in its city.
• url: the link to the place page.

This run takes about 20 to 35 seconds and costs about $0.03. Each place usually takes 2 to 7 seconds. Reviews cost $0.0027 each on the Free plan, so set maxReviews and a maximum cost.

👉 Try it now: open the input form

Troubleshooting

Symptom	Likely reason	Check	Action
One row with status: not_found and NO_RESULTS	The search found no places	The words in query	Use a city plus a place type, or a link
A place that does not look like your search	Tripadvisor search matched one word of your query	The words in query	Use a city plus a place type, or a link
status: not_found and NOT_FOUND	The place link or ID does not exist	Open the link in a browser	Fix the link or the ID
status: not_found and NO_MATCHING_REVIEWS	No review passes your filters	Your review filters	Remove a filter
status: invalid_url	The link is not from Tripadvisor	The link in the row	Use a Tripadvisor link
"An input field has a wrong value: placeUrls."	The field breaks a limit, such as over 100 links in placeUrls or startUrls. A name such as placeUrls.1 points to one item, counted from 0	The field or item named in the message	Split the links into smaller runs, or shorten that item
"Add a search query, a Tripadvisor URL, or a source dataset."	All inputs are empty	The input form	Fill in one input
"The run reached its time limit."	The timeout was too short	The run options	Raise the timeout, and run again
"The run stopped at your maximum cost per run."	Your cost limit was reached	The run options	Raise the limit, and run again
"Maximum pages was reached, so more results may exist."	maxPages stopped the scan	maxPages	Raise it
One row with status: failed, or "Some inputs failed."	Tripadvisor refused or timed out on this place	url and reason in the row	Run that link again. The other rows are kept
"Tripadvisor refused the requests." or "asked to slow down"	The source is blocking for now	RUN_SUMMARY	Keep proxyMode on auto, and try later
"The source dataset could not be read."	Wrong ID or no access	The dataset ID	Use a dataset you can read
"The source dataset has over 100 rows."	The dataset is too large	The dataset size	Use up to 100 rows
"The Tripadvisor page format has changed."	The source page changed	The run log	Open an issue with the run ID
offers is empty	The source shows no offers for this hotel	checkInDate, checkOutDate	Try other dates

👉 Try it now: open the input form

FAQ

Do I need a Tripadvisor account or an API key?

No. The Actor reads public pages. You need only an Apify account.

Is this a Tripadvisor API?

No. It is a scraper that you can start through the Apify API. It does not use a Tripadvisor key.

Why are some fields empty?

The source does not show every value for every place. Some fields also fit only one place type. For example, attractions have no cuisines.

Can I get all reviews of a place?

Set maxReviews and maxResults above the review count, and set a long enough timeout. We measured up to 700 reviews from one place in one run. The count on the page can differ from the rows you get.

What do I pay when nothing is found?

You pay the start fee. If a place was opened, you also pay the place check and the review pages. Status rows are free.

How fresh is the data?

Each row shows the read time in fetchedAt. The Actor does not keep history between runs.

👉 Try it now: open the input form

Related Actors

• OpenTable Reviews & Restaurants Scraper, No Login: add restaurant reviews from another source.
• Trustpilot Reviews Scraper - Ratings & Replies, No Login: compare guest feedback with company reviews.

👉 Try it now: open the input form

Support

For a bug, a question or a feature request, open the Issues tab of this Actor on Apify. Include the run ID, the mode and the error text. Never send tokens, cookies or private data.

👉 Try it now: open the input form