Airbnb Scraper: Listings, Prices, Calendar - No Login

Enter a city, an Airbnb search link or a room link, and get listings with nightly and total stay prices, discounts, ratings, calendars and reviews from Airbnb. You get a table for CSV, Excel or API use, plus an area price summary. You do not need a login or an API key. A run with 10 listings takes about 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
• Support

What it does

This Actor has five modes:

• Search listings: find listings by city, area, map box or Airbnb search link.
• Listing details: get full data for room links you already have.
• Calendar: get open days and minimum stay, one row per day. Daily prices are optional.
• Reviews: get review text, rating, date and language, one row per review.
• Track changes: compare a search with your last run and mark each listing as new, changed, unchanged, missing or removed.

Each run also saves an area summary with average price, median price, average rating and superhost share.

Good fit

• You compare stay prices for the same dates in a city or area.
• You check open days and minimum stay for a set of listings.
• You read reviews to learn what guests like or dislike.
• You track new listings and price changes on a schedule.

It is not a good fit if you need host contact details, guest identities or actual booking numbers. The Actor has no contact or profile fields, and Airbnb does not show bookings.

👉 Try it now: open the input form

How it works

1. You enter a location or links and choose your dates. If you set no dates, the Actor uses 3 nights starting 30 days from today.
2. The Actor reads public Airbnb pages. It makes about 1 request per second, and you need no proxy or account.
3. It saves one row per listing, day or review. You can open the rows in the table, export them, or get them by API.

👉 Try it now: open the input form

Quick start

1. Open the Input tab and keep Mode on Search listings (box 1).
2. Keep Pattaya in Location, or type your city (box 2).
3. Keep Maximum listings at 10 (box 3).
4. Click Start.
5. When the run ends, open the Output tab (box 5).

6. Check pricePerNight, totalPrice, currency, rating and reviewsCount (box 6).

Expected result: about 10 rows in about 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 prices in an area	search, location, checkIn, checkOut	Listing rows, area summary	pricePerNight, totalPrice, originalPrice, rating	CSV or Excel for price analysis
Compare one area on several dates	search, location, dateRanges	One row per listing and date range, summary per period	checkIn, checkOut, totalPrice	Google Sheets through API
Check open days for a listing	calendar, listingUrls, calendarMonths	Day rows	date, available, minNights, pricePerNight	Your pricing sheet
Learn from guest reviews	reviews, listingUrls, maxReviews	Review rows	text, rating, createdAt, language	A text analysis tool
Track an area over time	monitor, location, snapshotName, onlyChanges	Changed listing rows	changeStatus, pricePerNight, fetchedAt	Apify Schedule with Slack or Notion summary

👉 Try it now: open the input form

Input

No field is required by the form. Search listings and Track changes search Pattaya when you give no location or link. Listing details, Calendar and Reviews stop with INVALID_INPUT if you give no links.

Input fields

Field	Plain name	Type	Required	Default / prefill	Allowed values	Effect	Example	Recommendation
mode	Mode	string	No	search	search, details, calendar, reviews, monitor	Chooses what the run collects	search	Start with search
location	Location	string	No	Prefill Pattaya	City or area	Searches this place	Pattaya	Use a city name
maxItems	Maximum listings	integer	No	10	1 or more. Tested up to 1000 fast rows and 240 full rows	Row limit across all inputs and date ranges, shared evenly between searches. In reviews mode it is also the default review limit per listing	10	Test with 10 first
locationQueries	More locations	string array	No	Empty	City or area names	Adds more places to search	["Phuket"]	maxItems is shared evenly between places
startUrls	Airbnb search or room links	URL list	No	Empty	Airbnb links	Uses the link, its dates and its filters. Country links change to www.airbnb.com	[{ "url": "https://www.airbnb.com/s/Pattaya/homes" }]	Good when you already set filters on Airbnb
listingUrls	Listing links	string array	For details, calendar and reviews, unless you use startUrls	Empty	Room links with a numeric ID	Reads these listings	https://www.airbnb.com/rooms/1770178382370231943	Use for known listings
includeDetails	Include full listing details	boolean	No	true	true, false	true adds description, amenities, rules and more, but runs slower	false	Use false for large runs
checkIn	Check-in date	string	No	30 days from today	YYYY-MM-DD	Start of the stay	2026-12-04	Set both dates, or the run stops with INVALID_INPUT
checkOut	Check-out date	string	No	3 nights after check-in	YYYY-MM-DD	End of the stay	2026-12-07	Must be later than checkIn
dateRanges	Multiple date ranges	object array	No	Empty	{checkIn, checkOut}	One listing row per date range. Each range gets an even share of maxItems	[{"checkIn":"2026-12-04","checkOut":"2026-12-07"}]	Raise maxItems to get more rows per range
adults	Adults	integer	No	2	1 or more	Guests used for the price	2	Use your real group size
children	Children	integer	No	0	0 or more	Guests used for the price	1	Optional
infants	Infants	integer	No	0	0 or more	Guests used for the price	1	Optional
pets	Pets	integer	No	0	0 or more	Guests used for the price	1	Optional
currency	Currency	string	No	USD	48 currency codes	Currency of prices	EUR	Keep one currency per comparison
locale	Language	string	No	en	Airbnb language code	Language of listing text, when Airbnb has it	de	See Limits
priceMin	Minimum nightly price	number	No	Empty	0 or more	Search filter	50	Check the currency
priceMax	Maximum nightly price	number	No	Empty	0 or more	Search filter	200	Check the currency
minBeds	Minimum beds	integer	No	Empty	0 or more	Search filter	2	Optional
minBedrooms	Minimum bedrooms	integer	No	Empty	0 or more	Search filter	1	Optional
minBathrooms	Minimum bathrooms	number	No	Empty	0 or more	Search filter	1	Optional
roomTypes	Room types	string array	No	Empty	Entire home/apt, Private room, Shared room, Hotel room	Search filter	["Private room"]	Optional
amenities	Amenity IDs	integer array	No	Empty	Airbnb amenity IDs	Search filter	[4]	Copy IDs from an Airbnb search link
instantBook	Instant Book only	boolean	No	Off	true, false	Search filter	true	Optional
superhost	Superhosts only	boolean	No	Off	true, false	Search filter	true	Optional
boundingBox	Map area	object	No	Empty	neLat, neLng, swLat, swLng	Searches inside this box. Set location too	{"neLat":12.97,"neLng":100.92,"swLat":12.88,"swLng":100.85}	Use it for one area of a city
splitMap	Split large map searches	boolean	No	true	true, false	Splits a large area when Airbnb shows only part of it	true	Keep it on
calendarMonths	Calendar months	integer	No	0	0 to 12. Calendar mode uses 1 when 0	Months of days to read	3	See the cost note below
calendarStartDate	Calendar start	string	No	Check-in date or today	YYYY-MM-DD	First calendar day	2026-12-01	Optional
calendarEndDate	Calendar end	string	No	Empty	YYYY-MM-DD, within 12 months	Last calendar day	2027-02-28	Optional
includeDailyPrices	Quote each available date	boolean	No	false	true, false	Gets a price for each day that allows check-in. Slower	true	Use for short periods
maxReviews	Reviews per listing	integer	No	0	0 or more. Reviews mode uses maxItems when 0	Review limit per listing	50	Keep 0 in search if you do not need reviews
reviewSort	Review order	string	No	MOST_RECENT	MOST_RECENT, MOST_RELEVANT, HIGHEST_RATING, LOWEST_RATING	Order of reviews	MOST_RECENT	Keep it with reviewsSince
reviewsSince	Reviews since	string	No	Empty	YYYY-MM-DD	Keeps newer reviews only	2026-01-01	Stops early only with most recent order
snapshotName	Snapshot name	string	No	default	Letters, numbers and dashes, up to 63	Name of the saved history	pattaya-weekly	Use one name per tracked search
onlyChanges	Return only changes	boolean	No	false	true, false	Saves only rows that changed	true	Good for schedules
outputFormat	Output format	string	No	nested	nested, flat	Keeps nested objects or flattens them	flat	Use flat for spreadsheets
maxResults	Maximum results (compatibility)	integer	No	Empty	1 or more	Other name for maxItems. It wins if you set both	10	Use maxItems
deliveryConnector	Send results to (optional)	connector	No	Empty	Your Slack or Notion connector	Sends a short summary	See Send results	Optional
deliveryTarget	Notion page or channel (optional)	string	No	Empty	Slack channel ID or Notion page link	Place for the summary	C0123456789	Optional

Interacting settings

When	Input A	Input B	Effective behavior	Example	Cost/result effect
Search speed	includeDetails: true	maxItems	Reads each listing page, about 2.3 seconds per listing	100 listings take about 4 minutes	Same price per row, more time
Fast search	includeDetails: false	maxItems	Skips listing pages	1000 listings take 3.5 to 4.5 minutes	Fewer fields, same price per row
Many dates or places	dateRanges or locationQueries	maxItems	Each search gets an even share. Rows a search does not use move to the next one, not back to an earlier one	2 ranges and maxItems: 10 give 5 rows per range	A run can save fewer rows than maxItems when a later search has few listings
Links with dates	startUrls	checkIn	Dates in the link are used for that link	A link with December dates	Prices follow the link dates
Calendar in a listing	mode: search or details	calendarMonths	Adds days inside the listing row	calendarMonths: 1	Pays calendar per month, no calendar-day
Calendar rows	mode: calendar	calendarMonths	Saves one row per day	12 months give about 362 rows	Pays calendar and calendar-day, about $1.00 per listing for a year
Daily prices	includeDailyPrices	calendarMonths	Asks a price only for days that are open and allow check-in	12 of 28 days got a price	Pays daily-price only for a price received
Reviews in search	mode: search	maxReviews	Saves reviews as their own rows	maxReviews: 20	Pays review-page and review
Review date stop	reviewsSince	reviewSort	Stops early only with MOST_RECENT	Other orders read further	Other orders can cost more pages
Tracking	mode: monitor	onlyChanges	Unchanged listings get no row	3 rows and 7 checks	Unchanged listing costs check, not result

Input examples

Small search

{ "mode": "search", "location": "Pattaya", "maxItems": 10 }

Expected output: about 10 listing rows with full details in about 35 seconds. Cost note: about $0.03.

Large fast search

{
  "mode": "search",
  "location": "Pattaya",
  "maxItems": 1000,
  "includeDetails": false
}

Expected output: up to 1000 rows without description, amenities and rules. Limit or cost note: about $2.87. Set the run timeout to 600 seconds. With the default 300 seconds, most tests finished 1000 rows in 3.5 to 4.5 minutes. One run on an early build stopped at 931 rows.

Calendar with daily prices

{
  "mode": "calendar",
  "listingUrls": ["https://www.airbnb.com/rooms/1443378340723218199"],
  "calendarMonths": 1,
  "includeDailyPrices": true
}

Expected output: one row per day. Days that allow check-in also get a price. Cost note: our test had 28 days and 12 prices, took about 35 seconds and cost about $0.11.

Reviews

{
  "mode": "reviews",
  "listingUrls": ["https://www.airbnb.com/rooms/1230348487323461725"],
  "maxReviews": 60
}

Expected output: up to 60 review rows, in 5 to 8 seconds. Cost note: about $0.16 for 60 reviews.

Track changes

{
  "mode": "monitor",
  "location": "Pattaya",
  "maxItems": 10,
  "snapshotName": "pattaya-weekly",
  "onlyChanges": true
}

Expected behavior: the first run marks all rows as new. Later runs save only rows that changed. Cost note: first run about $0.03. A later run with 2 changes and 8 unchanged listings cost about $0.017.

👉 Try it now: open the input form

Output

The table has three views: Listings and prices, Calendar and Reviews. Use recordType to tell the rows apart in API data.

Output fields

Listing rows (recordType: listing):

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
listingId	Airbnb listing ID	string	No	1770178382370231943	Room link
url	Listing link	string	No	https://www.airbnb.com/rooms/...	Airbnb
title	Listing title	string	Rarely	Deluxe Room Edge Condo...	Airbnb
roomType	Room type	string	Yes	Entire home/apt	Full details only
propertyType	Property type	string	Yes	Entire rental unit	Airbnb
personCapacity	Guests allowed	integer	Yes	2	Full details only
bedrooms, beds, bathrooms	Room counts	number	Yes	1	Filled for about 9 in 10 listings
pricePerNight	Price per night for these dates	number	Yes	59.24	Empty when Airbnb gives no price
averageTotalPerNight	Total divided by nights	number	Yes	59.24	Calculated
totalPrice	Stay price shown by Airbnb	number	Yes	177.73	For the listed dates and guests
originalPrice	Price before a discount	number	Yes	275	Only when Airbnb shows it. In tests, about 1 in 5 listings
priceLabel	Price text from Airbnb	string	Yes	$178 for 3 nights	Airbnb
priceBreakdown	Lines of the price	array	Yes	[{"label":"3 nights x $59.24","amount":177.73}]	Can show discounts
priceIncludesTaxes	Taxes in the price	boolean	Often	true	Empty when Airbnb does not say
fees	Cleaning, service and tax	object	Values often empty	{"cleaning":null,"service":null,"taxes":null}	Empty in all 341 test listings
currency	Currency code	string	No	USD	Your input
checkIn, checkOut	Stay dates	string	No	2026-12-04	Your input or the default
rating	Average rating	number	Yes	5	Empty with no rating yet
reviewsCount	Number of reviews	integer	Yes	5	Airbnb
lat, lng	Map position	number	Rarely	12.9311	Airbnb's public map position
hostIsSuperhost	Superhost mark	boolean	Yes	false	Full details only
description	Listing text	string	Yes	A stylish condominium...	Full details only
photos	Photo links	array	Rarely	["https://a0.muscache.com/..."]	Airbnb
amenities	Amenities	array	Yes	[{"group":"Bathroom","title":"Hair dryer","available":true}]	Full details only
houseRules	House rules	array	Yes	[{"title":"No pets"}]	Full details only
categoryRatings	Ratings by category	array	Yes	[{"category":"cleanliness","rating":5}]	Full details only
ratingDistribution	Share per star	array	Yes	[{"stars":5,"share":1}]	Full details only
cancellationPolicy	Cancellation text	string	Yes	Free cancellation for 24 hours...	Full details only
calendar	Days inside the listing	array	Yes	See calendar rows	With calendarMonths
occupancy	Share of closed days	object	Yes	{"observedDays":28,"unavailableDays":16,"unavailableShare":0.57,"method":"unavailable_calendar_days","isBookingOccupancy":false}	Closed days, not bookings
reviewSummary	Common review words	object	Yes	{"collectedCount":44,"topics":[{"term":"clean","mentions":9}]}	With maxReviews
available	Open for these dates	boolean	Yes	true	When known
changeStatus	Change since last run	string	Yes	new, changed, unchanged, missing_from_search, reappeared, removed, unknown	Track changes mode
status	Row problem	string	Yes	not_found, partial	A listing that could not be fully read
calendarStatus	Calendar problem	string	Yes	partial	Part of the calendar is missing
source	Source name	string	No	Airbnb	Fixed
fetchedAt	Time of reading	string	No	2026-11-04T03:19:56.515Z	UTC

Calendar rows (recordType: calendar):

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
date	Calendar day	string	No	2026-12-07	Airbnb
available, bookable	Day is open	boolean	Rarely	true	Airbnb
availableForCheckIn, availableForCheckOut	Check-in or check-out allowed	boolean	Rarely	true	Airbnb
minNights, maxNights	Stay limits	integer	Yes	3	Airbnb
pricePerNight, totalPrice	Price for a stay from this day	number	Yes	87.89	With includeDailyPrices
averageTotalPerNight, fees, priceNights	More price data	mixed	Yes	3	With a price. priceNights is the minimum stay or 1
priceStatus	Price result	string	No	available, unavailable, error, not_requested	Only available is paid

Review rows (recordType: review):

Field	Meaning	Type	Can be empty?	Example / enum	Source / notes
reviewId	Review ID	string	No	1808350674592173172	Airbnb
text	Review text	string	Rarely	Clean room, great host...	Contacts are removed from free text
rating	Stars	number	Yes	5	Airbnb
language	Text language	string	Yes	en	Airbnb
createdAt	Review date	string	Yes	2026-10-31T01:09:59.000Z	Airbnb

Output entities and surfaces

Situation	Dataset/API/KVS/live view	Result shape	User action
Normal item	Dataset, RUN_SUMMARY, MARKET_SUMMARY	Rows, status: succeeded	Use the rows
Domain-empty	Empty dataset, summaries saved	Run SUCCEEDED, stopReason: NO_RESULTS, or NO_CHANGES in monitor	Change the filters, or do nothing for no changes
Partial	Saved rows, partial: true	Cost limit: SUCCEEDED, stopReason: CHARGE_LIMIT. Timeout: SUCCEEDED, stopReason: DEADLINE, unfinished inputs in unprocessedInputs. A timeout with no saved rows is FAILED	Use saved rows. Raise the limit or timeout
Technical failure	Summaries, maybe saved rows	Run FAILED with stopReason	Check Troubleshooting and run again later

MARKET_SUMMARY has listingCount, quoteCount, pricedListingCount, averagePricePerNight, medianPricePerNight, averageRating, superhostShare, currency, partial, coverageComplete and one block per date range in periods. It is a summary of the returned rows, not of the whole market.

RUN_SUMMARY has status, stopReason, mode, listingCount, savedItems, checkedListings, searchPages, requests, calendarDays, reviews, skippedListings, skippedSample, dailyPriceErrors, partial, coverageComplete and delivery. A search stopped by maxItems has coverageComplete: false. A run stopped by its timeout also has unprocessedInputCount and unprocessedInputs, up to 25 entries. The first entry can be the input in progress when the run stopped, so rows already saved from it stay in the Dataset and are charged.

Output example

Lists are shortened here.

{
  "recordType": "listing",
  "listingId": "1770178382370231943",
  "url": "https://www.airbnb.com/rooms/1770178382370231943",
  "title": "Deluxe Room Edge Condo Pattaya Infinity Pool 31F",
  "roomType": "Entire home/apt",
  "propertyType": "Entire rental unit",
  "personCapacity": 2,
  "bedrooms": 1,
  "beds": 1,
  "bathrooms": 1,
  "pricePerNight": 59.24,
  "averageTotalPerNight": 59.24,
  "totalPrice": 177.73,
  "originalPrice": null,
  "priceLabel": "$178 for 3 nights",
  "priceIncludesTaxes": null,
  "fees": { "cleaning": null, "service": null, "taxes": null },
  "priceBreakdown": [{ "label": "3 nights x $59.24", "amount": 177.73 }],
  "currency": "USD",
  "checkIn": "2026-12-04",
  "checkOut": "2026-12-07",
  "rating": 5,
  "reviewsCount": 5,
  "lat": 12.9311,
  "lng": 100.8823,
  "hostIsSuperhost": false,
  "amenities": [
    {
      "group": "Bathroom",
      "title": "Hair dryer",
      "available": true,
      "description": null
    }
  ],
  "houseRules": [{ "title": "Up to 2 overnight guests", "description": null }],
  "categoryRatings": [{ "category": "cleanliness", "rating": 5 }],
  "cancellationPolicy": "Free cancellation for 24 hours. Cancel before November 27 for a partial refund. Review this host's full policy for details.",
  "calendar": null,
  "occupancy": null,
  "reviewSummary": null,
  "available": true,
  "changeStatus": null,
  "source": "Airbnb",
  "fetchedAt": "2026-11-04T03:19:56.515Z"
}

Send results to Slack or Notion

Pick your connector in the optional deliveryConnector field. After the run saves its data, the Actor posts a short summary (up to 25 rows and a link to the full dataset) there. Put a Notion page link or a Slack channel ID in deliveryTarget: in Notion every run is added on top of that one page, so your workspace does not fill up with new pages. A delivery error never fails the run and costs nothing extra. Connect a service once in Apify Console → MCP connectors.

Use case → fields

Use case	Fields to read
Price comparison	pricePerNight, totalPrice, originalPrice, priceBreakdown, currency, checkIn, checkOut
Listing quality	rating, reviewsCount, categoryRatings, hostIsSuperhost, amenities
Availability	date, available, availableForCheckIn, minNights, occupancy.unavailableShare
Guest opinion	text, rating, createdAt, language, reviewSummary.topics
Monitoring	changeStatus, pricePerNight, fetchedAt

👉 Try it now: open the input form

Pricing

Pricing unit

You pay per event. The main event is one saved listing row (result). The developer pays Apify platform usage, so you pay only the events below.

Event	When it is charged	No plan or Free	Gold and above
result	One saved listing row	$0.0027	$0.00189
search-page	One search page	$0.0016	$0.00112
first-listing-page	First listing link in details, calendar or reviews mode	$0.0018	$0.00126
listing-page	Each more listing link in those modes	$0.0002	$0.00014
calendar	One calendar month	$0.0018	$0.00126
calendar-day	One saved day row in calendar mode	$0.0027	$0.00189
daily-price	One day that got a price	$0.0027	$0.00189
review-page	One page of up to 50 reviews	$0.0005	$0.00035
review	One saved review row	$0.0027	$0.00189
check	One listing checked with no paid row (unchanged, missing, removed or not found)	$0.0012	$0.00084
input-check	A run stopped by invalid input	$0.0016	$0.00112

Bronze saves 10%. Silver saves 20%. Gold, Platinum and Diamond save 30%.

• Zero results: a search with no rows pays for the search page it read, about $0.0016.
• Filter with no match: same as zero results.
• Unchanged monitor: each unchanged listing pays check when onlyChanges is on.
• Partial and failed runs: you pay for the work done before the stop. Pages are charged before the request, so a page that fails can still count.

Cost examples

Prices are for no plan or Free, from our test runs.

Scenario	Input scope	Expected item/event count	Base charge	Optional charge	Stop/cap behavior
Small search	Pattaya, 10 listings, about 35 s	10 result, 1 search-page	$0.0286	None	Stops at maxItems
Medium search	Bangkok, 100 full listings, about 4 min	100 result, 7 search-page	$0.2812	None	Stops at maxItems
Large fast search	Pattaya, 1000 listings, about 3.5 min, timeout 600 s	1000 result, 92 search-page	$2.8472	None	Default 300 s can stop near 900 rows
Listing details	1 link, 3 to 6 s	1 first-listing-page, 1 result	$0.0045	None	One row per link
Calendar for a year	1 listing, 12 months, 9 to 12 s	1 first-listing-page, 12 calendar, 362 calendar-day	$1.0008	None	Limit with calendarEndDate
Calendar with prices	1 listing, 1 month, about 35 s	1 first-listing-page, 1 calendar, 28 calendar-day	$0.0792	12 daily-price: $0.0324	Total $0.1116
Reviews	1 listing, 60 reviews, 5 to 8 s	1 first-listing-page, 2 review-page, 60 review	$0.1648	None	Stops at maxReviews
Monitor, later run	10 listings, 4 changed, about 33 s	4 result, 6 check, 1 search-page	$0.0196	None	Unchanged rows are not saved
No match	Filter with no listings, 2 to 5 s	1 search-page	$0.0016	None	Ends with NO_RESULTS
Invalid input	Wrong link, a few seconds	1 input-check	$0.0016	None	Run FAILED with INVALID_INPUT

Set Maximum cost per run when you start a run to cap your spend. The run then stops with saved rows and stopReason: CHARGE_LIMIT.

👉 Try it now: open the input form

Limits

• Prices: a price is a quote for your dates and guests at the time of the run. It is not a booking guarantee.
• Fees: cleaning, service and tax values stay empty when Airbnb does not show them. They were empty in all 341 listings we tested. Discounts appear in priceBreakdown and originalPrice when Airbnb shows them.
• Taxes: priceIncludesTaxes is often empty.
• Occupancy: unavailableShare is the share of closed days. A host can block days, so it does not prove bookings.
• Language: fast search and part of the listing text stay in English. Price breakdowns are in English.
• Time: speed changes from run to run. At the default timeout of 300 seconds, 100 full listings finished in about 4 minutes, and 1000-listing fast runs finished in 3.5 to 4.5 minutes. One run on an early build stopped at 931 rows after 286 seconds. With a timeout of 600 seconds, the same fast search finished 1000 rows in 3.5 to 4 minutes. A 240-listing run with full details took about 9 minutes, with a timeout of 900 seconds. Raise the timeout for runs above about 100 full listings or 900 fast listings.
• Size: 12 MiB per response, 512 MiB and 100000 requests per run. The Actor makes about 1 request per second and up to 3 attempts per request. A failed search page stops the run with the rows already saved. A listing that cannot be read is skipped without a charge for its row, and the run goes on; 3 failures in a row, or a block, stop the run.
• Tracking: run one monitor at a time per snapshotName. The saved history holds up to 512 KiB, and old entries are dropped first, so a listing can show as new again. A listing is missing_from_search only after a search with complete coverage, and removed only after its page returns 404 or 410.
• Privacy: the Actor has no host or guest profile or contact fields, and it removes contact details from free text. Review text stays as written, so a guest can mention a host's first name in it.
• Airbnb terms: Airbnb's terms restrict automated collection and grant no data reuse licence. This Actor is not made or approved by Airbnb. Check that your use fits the terms and your local law.

👉 Try it now: open the input form

API, export and integrations

• API: start a run and read rows with the Apify API. The Actor ID is cliqtomedia/airbnb-scraper.
• Export: download rows as CSV, Excel, JSON or XML from the Output tab.
• Scheduling: use Apify Schedules with Track changes mode.
• Webhooks: use Apify webhooks to act when a run ends.
• SDK and MCP: use the Apify client or the MCP server below.

curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~airbnb-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"location":"Pattaya","maxItems":10}'

Use with AI agents (MCP)

This Actor works with the Apify MCP server at https://mcp.apify.com?tools=cliqtomedia/airbnb-scraper.

• Minimal input: {"location":"Pattaya","maxItems":10}
• Key fields: title, url, pricePerNight, totalPrice, currency, rating
• Typical run: about 35 seconds and about $0.03 for 10 listings.
• Limits: prices are quotes for the given dates. fees values are often empty. Use includeDetails: false for large searches.

👉 Try it now: open the input form

Troubleshooting

Run has no rows

• Symptom: the run succeeded, and the table is empty.
• Likely reason: stopReason is NO_RESULTS, so no listing matches your place and filters. In monitor mode, NO_CHANGES means nothing changed.
• Check: RUN_SUMMARY, priceMin, priceMax, currency and the dates.
• Action: remove filters or use a wider area.

Run stopped with DEADLINE

• Symptom: the run is SUCCEEDED with partial: true, and rows are saved. With no saved rows, the run is FAILED.
• Likely reason: the timeout ended first. One 1000-listing run on an early build stopped at 931 rows after 286 seconds. In monitor with onlyChanges, a run with no changed rows saved yet is FAILED, and its check events stay charged.
• Check: stopReason, savedItems and unprocessedInputs in RUN_SUMMARY.
• Action: use the saved rows, raise the timeout in the run options, or use includeDetails: false.

Run failed with INVALID_INPUT

• Symptom: the run ends in a few seconds, with no rows.
• Likely reason: a link is not an Airbnb link, or a needed field is missing.
• Check: listingUrls, startUrls and the mode.
• Action: use room links such as https://www.airbnb.com/rooms/1770178382370231943.

Run failed with another reason

• Symptom: the run is FAILED, and partial is true or no rows are saved.
• Likely reason: Airbnb blocked requests or changed its page data.
• Check: stopReason and the run log.
• Action: try a small run later. If it fails again, open an issue.

Fees or prices are empty

• Symptom: fees values or pricePerNight are null.
• Likely reason: Airbnb did not show them for these dates and guests.
• Check: priceBreakdown, priceLabel and available.
• Action: try other dates. Use totalPrice and priceBreakdown for price checks.

Some listings were skipped

• Symptom: the run succeeded, stopReason is LISTINGS_SKIPPED, and partial is true.
• Likely reason: a listing was removed after the search found it, or its page could not be read.
• Check: skippedListings and skippedSample in RUN_SUMMARY. The sample has the listing ID and the reason.
• Action: nothing, if the rows you got are enough. You don't pay a row price for a skipped listing, but work done before the failure stays paid: pages read, saved review or calendar rows, and a listing row marked partial. To retry, put the listing link in listingUrls.

Some daily prices are missing

• Symptom: stopReason is DAILY_PRICES_INCOMPLETE, and partial is true.
• Likely reason: Airbnb did not answer for some days.
• Check: dailyPriceErrors in RUN_SUMMARY. These days have priceStatus set to error.
• Action: run the listing again. You don't pay daily-price for a day without a price.

Run stopped with CHARGE_LIMIT

• Symptom: the run succeeded with fewer rows, and partial is true.
• Likely reason: the run reached your maximum cost.
• Check: stopReason in RUN_SUMMARY.
• Action: raise Maximum cost per run, or lower maxItems.

Listing shows as new again

• Symptom: a listing you saw before has changeStatus: new.
• Likely reason: the history reached its size limit and dropped the old entry, or you changed snapshotName.
• Check: snapshotName and how many listings you track.
• Action: use a separate snapshotName for each small search.

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FAQ

Do I need an Airbnb account? No. You do not need a login, cookies or an API key.

Is the total price the final price? It is the price Airbnb shows for your dates and guests. Airbnb can change it at checkout.

Can I get host emails or phone numbers? No. The Actor does not output contact details.

How many listings can I get from one city? Set maxItems to the number you need. A large search needs more time, so raise the timeout. splitMap helps when one area has many listings.

Do I pay when nothing changed? In monitor mode with onlyChanges, you pay search-page and check, not result. That is much less than a full row.

Can I get prices for many dates? Yes. Use dateRanges for fixed stays, or Calendar mode with includeDailyPrices for each open day.

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Support

Open a request in the Issues tab of this Actor. Include the run ID, the input mode and the error text. Do not include tokens or cookies.

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