🏡 Airbnb Scraper

Collect Airbnb listings, prices, ratings, host data, amenities, house rules, guest reviews, and availability signals from location searches or direct listing URLs.

Use it for short-term rental research, competitor tracking, pricing analysis, property audits, guest sentiment analysis, and market monitoring.

✨ What You Get

• 🏠 Listing names, URLs, property type, room type, capacity, bedrooms, beds, and bathrooms
• 📍 Location signals, coordinates when available, and display location
• 💸 Nightly price, total price, original price, currency, and availability flag
• ⭐ Listing rating, review count, rating categories, and badges
• 🖼️ Listing photos and preview image URL
• 👤 Host name, host quality signals, verification, rating, hosting experience, and profile photo
• 🧾 Amenities, amenity categories, house rules, safety notes, highlights, and sleeping setup
• 💬 Guest review text with reviewer, date, language, host response, and star rating
• 📊 Review summary with rating breakdown, review health score, pros, issues, and low-rated highlights
• 📅 Calendar metrics for availability, blocked days, occupancy estimate, and revenue windows
• 🔔 New, changed, and removed listings when monitoring is enabled

🚀 Quick Start

The easiest way to start is to choose a Research preset in the input form.

Preset	Best for	What it enables
Quick test	First run or cheap sample	Up to 10 listings
Market scan	City or neighborhood research	Fast listing and price collection
Review intelligence	Guest sentiment analysis	Review text and review summary
Full audit	Deep listing inspection	Reviews, amenities, host data, house rules, and calendar metrics
Monitor changes	Repeated market tracking	Change detection across runs
Custom	Manual control	Uses exactly the settings you choose

🧭 How To Configure A Run

1. Choose a Research preset.
2. Choose a Run mode:
   • use search-fast for a city or neighborhood scan;
   • use search-full when you want richer listing details from search results;
   • use urls when you already have Airbnb listing URLs;
   • use auto when you want the actor to choose based on your input.
3. Add either Locations or Airbnb listing URLs.
4. Add Check-in, Check-out, and guest counts when price accuracy matters.
5. Set Listings per source to control output size and cost.
6. Turn on Include review texts or Include availability calendar only when you need deeper data.
7. Use filters such as price, room type, bedrooms, bathrooms, and beds for narrower market research.
8. For monitoring, enable Monitor changes and reuse the same Monitor key every time.

🧩 Input Schema

Field	Type	Description
researchPreset	select	Ready-made setup: quick test, market scan, review intelligence, full audit, monitor, or custom
mode	select	auto, search-fast, search-full, or urls
locationQueries	string list	Cities, neighborhoods, or Airbnb search URLs
startUrls	request list	Direct Airbnb room URLs
checkIn	date	Check-in date for date-aware pricing and availability
checkOut	date	Check-out date, later than check-in
adults	integer	Number of adult guests
children	integer	Number of children
infants	integer	Number of infants
pets	integer	Number of pets
maxItemsPerQuery	integer	Maximum listings saved per location or source
includeReviews	boolean	Saves review rows and review summary analytics
maxReviewsPerListing	integer	Maximum reviews to save per listing when reviews are enabled, from 1 to 100
includeCalendar	boolean	Saves 12-month calendar metrics when available
monitorChanges	boolean	Enables new/changed/removed listing detection
monitorKey	string	Stable key for repeated monitoring of the same market
minPrice / maxPrice	integer	Price range filter in the selected currency
roomType	select	Any, entire place, private room, shared room, or hotel room
minBedrooms	integer	Minimum bedrooms
minBathrooms	integer	Minimum bathrooms
minBeds	integer	Minimum beds
currency	select	USD or EUR
locale	select	Output language when Airbnb provides localized text

⚙️ Run Modes

Mode	Best for	Notes
auto	Simple runs	Uses direct URLs when you provide listing URLs, otherwise runs a fast search
search-fast	Market scans	Saves listing cards, prices, ratings, photos, and basic location data
search-full	Rich search results	Starts from a location search, then enriches listings with details
urls	Known listings	Scrapes specific Airbnb room URLs

🧪 Example Inputs

Fast market scan

{
  "researchPreset": "market-scan",
  "mode": "search-fast",
  "locationQueries": ["Prague"],
  "checkIn": "2026-08-15",
  "checkOut": "2026-08-20",
  "adults": 2,
  "maxItemsPerQuery": 50,
  "currency": "USD",
  "locale": "en"
}

Review intelligence

{
  "researchPreset": "review-intelligence",
  "mode": "search-full",
  "locationQueries": ["Barcelona"],
  "checkIn": "2026-09-10",
  "checkOut": "2026-09-14",
  "adults": 2,
  "maxItemsPerQuery": 10,
  "maxReviewsPerListing": 10
}

Collect only one review per listing

Useful for a quick smoke test or very cheap sample.

{
  "researchPreset": "review-intelligence",
  "mode": "urls",
  "startUrls": [
    { "url": "https://www.airbnb.com/rooms/123456789" }
  ],
  "maxReviewsPerListing": 1
}

Full audit for a known listing

{
  "researchPreset": "full-audit",
  "mode": "urls",
  "startUrls": [
    { "url": "https://www.airbnb.com/rooms/123456789" }
  ],
  "checkIn": "2026-08-15",
  "checkOut": "2026-08-20",
  "adults": 2
}

Monitor the same market over time

{
  "researchPreset": "monitor",
  "mode": "search-fast",
  "locationQueries": ["Prague Old Town"],
  "maxItemsPerQuery": 100,
  "monitorChanges": true,
  "monitorKey": "prague-old-town"
}

Run the same input again with the same monitorKey to see new, changed, and removed listings.

📤 Output Tabs

The actor creates clean Apify Output tabs for quick browsing and export.

Tab	What it contains
Listings	One row per listing with price, rating, location, image, capacity, room type, amenities count, and URL
Pricing	Price-focused view with nightly price, total price, original total, currency, and availability
Hosts & ratings	Listing rating, review count, host name, superhost flag, response data, and badges
Hosts	One row per host with verification, rating, hosting experience, profile photo, and listing context
Amenities	One row per amenity with category, title, availability flag, and listing context
House rules	House rules, safety notes, listing highlights, and sleeping setup as clean rows
Calendar metrics	Availability, blocked days, occupancy estimate, and revenue estimate for 30/90/365-day windows
Reviews & calendar	One row per guest review with reviewer, star rating, date, language, text, and host response
Review summary	Rating breakdown, review health score, pros, issues, latest review, and low-rated highlights
Monitor changes	New, changed, and removed listings when monitorChanges is enabled

All tables can be exported from Apify as JSON, CSV, Excel, HTML, XML, or RSS.

🔗 How Reviews Match Listings

Reviews are saved in a separate Reviews & calendar table, one row per review. Every review row includes:

• listingId - the Airbnb listing ID
• listingName - the listing title
• listingUrl - the Airbnb listing URL
• reviewId - the review ID

Use listingId as the primary key when joining or filtering data.

Example: if you collect 50 listings and set maxReviewsPerListing to 50, the actor can save up to 2,500 review rows. Each of those rows will still point back to the correct listing through listingId and listingUrl.

Simple join logic:

Listings.id = Reviews.listingId
Listings.url = Reviews.listingUrl

🗂️ Output Schemas

Listings

Main dataset. One row per Airbnb listing.

Field	Meaning
recordType	Always listing
id	Airbnb listing ID
name	Listing title
displayLocation	Human-readable location
displayPrice	Display price string
pricePerNight	Numeric nightly price when available
priceTotal	Numeric total price when available
available	Availability flag when returned
displayRating	Rating and review count display
reviewsCount	Public review count
roomType	Stay type, such as entire home or private room
personCapacity	Guest capacity
bedrooms, beds, bathrooms	Property layout fields
amenitiesCount	Total amenities found
availableAmenitiesCount	Amenities marked as available
houseRulesCount	Number of house rules
safetyItemsCount	Number of safety notes
highlightsCount	Number of listing highlights
imageUrl	Preview image URL
url	Airbnb listing URL
scrapedAt	Timestamp when the row was saved

Pricing

Price-focused view of the main listing dataset.

Field	Meaning
displayPrice	Price text shown by Airbnb
pricePerNight	Numeric nightly price
priceTotal	Numeric total stay price
priceOriginalTotal	Original total before discount when available
currency	Selected currency
available	Whether the listing appears available for the selected dates

Hosts

One row per listing host.

Field	Meaning
recordType	Always host
listingId	Airbnb listing ID for joining with Listings
hostName	Host name
hostSignal	Short host quality signal
isSuperhost	Superhost flag
isVerified	Host verification flag
hostRatingAverage	Host average rating when available
hostRatingCount	Host rating count when available
yearsHosting / monthsHosting	Hosting experience
cohostsCount	Number of cohosts
hostAbout	Host bio text
listingName, listingUrl	Listing context

Amenities

One row per amenity.

Field	Meaning
recordType	Always amenity
listingId	Airbnb listing ID for joining with Listings
listingName	Listing title
category	Amenity group, such as Bathroom or Kitchen
amenityTitle	Amenity name
amenitySubtitle	Extra amenity description when available
available	Whether the amenity is available
icon	Airbnb icon identifier
displayPrice, listingUrl	Listing context

House Rules

One row per rule, safety note, highlight, or sleeping setup item.

Field	Meaning
recordType	Always property_info
listingId	Airbnb listing ID for joining with Listings
infoType	house_rule, safety, highlight, or sleeping
title	Rule or info title
description	Extra text when available
icon	Icon identifier when available
rawType	Original Airbnb highlight type when available
listingName, listingUrl	Listing context

Reviews

One row per guest review.

Field	Meaning
recordType	Always review
listingId	Airbnb listing ID for joining with Listings
listingName	Listing title
reviewId	Airbnb review ID
reviewerName	Guest first name when available
reviewRating	Readable rating, for example ★★★★★ 5/5
rating	Numeric review rating
createdAt	Review date
language	Review language
reviewsText	Full review text
hostResponse	Host response text when available
listingUrl	Airbnb listing URL

Review Summary

One row per listing with review analytics.

Field	Meaning
recordType	Always review_summary
listingId	Airbnb listing ID for joining with Listings
reviewSignal	Short sentiment signal
averageReviewRatingDisplay	Average rating display
reviewHealthScore	0-100 review quality score
ratingBreakdown	Count by star rating
fetchedReviewsCount	Number of reviews collected for analysis
positiveReviews, negativeReviews	Sentiment counts
positiveSharePercent, negativeSharePercent	Sentiment share
topPros	Common positive themes
topIssues	Common complaint themes
latestReviewDate, latestReviewRating, latestReviewText	Latest review details
recentLowRatedReviews	Compact list of recent low-rated reviews

Calendar Metrics

Calendar summary fields are added to listing rows when calendar data is requested.

Field	Meaning
calendarStartDate, calendarEndDate	Calendar date range
calendarMonthsCount, calendarDaysCount	Calendar coverage
calendarAvailableDaysCount	Available days in the returned calendar
calendarBlockedDaysCount	Blocked days in the returned calendar
calendarAvailabilityPercent	Available days percentage
calendarOccupancyEstimatePercent	Blocked days percentage
calendarAvailableNext30Days / 90 / 365	Available days by window
calendarBlockedNext30Days / 90 / 365	Blocked days by window
calendarOccupancyNext30Percent / 90 / 365	Occupancy estimate by window
calendarAvailableRevenueNext30 / 90 / 365	Available revenue estimate by window

Monitor Changes

Rows are saved only when monitorChanges is enabled.

Field	Meaning
recordType	Always monitor_change
changeType	new, changed, or removed
listingId	Airbnb listing ID for joining with Listings
name	Listing name
changeSummary	Human-readable summary of what changed
displayPrice, previousDisplayPrice	Current and previous price
available, previousAvailable	Current and previous availability
displayRating, previousDisplayRating	Current and previous rating
reviewsCount, previousReviewsCount	Current and previous review count
monitorKey	Tracking key
checkedAt, firstSeenAt, lastSeenAt	Monitoring timestamps

📦 Example Listing Record

{
  "recordType": "listing",
  "id": "123456789",
  "name": "Modern apartment near the center",
  "url": "https://www.airbnb.com/rooms/123456789",
  "displayLocation": "Prague 1, Czechia",
  "displayPrice": "$827",
  "pricePerNight": 180.65,
  "priceTotal": 827,
  "available": true,
  "displayRating": "4.87 (115)",
  "reviewsCount": 115,
  "roomType": "Entire home/apt",
  "personCapacity": 4,
  "amenitiesCount": 46,
  "availableAmenitiesCount": 43,
  "houseRulesCount": 3,
  "safetyItemsCount": 2,
  "imageUrl": "https://a0.muscache.com/...",
  "scrapedAt": "2026-07-06T18:20:16Z"
}

💬 Review Intelligence

Turn on Review intelligence or set includeReviews to true in search-full or urls mode.

You get:

• One row per review in Reviews & calendar
• Reviewer name, review date, language, review text, host response, and star rating
• A separate Review summary row for each listing
• Rating breakdown, review health score, positive/negative share, pros, issues, latest review, and low-rated highlights

Use maxReviewsPerListing to choose how many reviews to save per listing:

{
  "includeReviews": true,
  "maxReviewsPerListing": 10
}

Set it to 1 for a smoke test, 10 for a light review sample, or 50 for deeper analysis.

Example review row:

{
  "recordType": "review",
  "listingName": "Modern apartment near the center",
  "reviewerName": "Linda",
  "reviewRating": "★★★★★ 5/5",
  "rating": 5,
  "createdAt": "2026-06-29T07:58:26Z",
  "language": "en",
  "reviewsText": "Perfectly located apartment in a quiet street...",
  "listingUrl": "https://www.airbnb.com/rooms/123456789"
}

Example review summary:

{
  "recordType": "review_summary",
  "listingName": "Modern apartment near the center",
  "reviewSignal": "Excellent guest sentiment",
  "averageReviewRatingDisplay": "★★★★★ 4.8/5",
  "reviewHealthScore": 97,
  "ratingBreakdown": "5★ 44 | 4★ 4 | 3★ 2 | 2★ 0 | 1★ 0",
  "fetchedReviewsCount": 50,
  "topPros": "Location; Host & communication; Cleanliness",
  "topIssues": "Heat / AC",
  "latestReviewDate": "2026-06-29T07:58:26Z"
}

🧾 Amenities & House Rules

Use Amenities to compare listing features without opening nested JSON.

{
  "recordType": "amenity",
  "listingName": "Modern apartment near the center",
  "category": "Bathroom",
  "amenityTitle": "Hair dryer",
  "available": true,
  "displayPrice": "$827",
  "listingUrl": "https://www.airbnb.com/rooms/123456789"
}

Use House rules for guest requirements, safety notes, highlights, and sleeping setup.

{
  "recordType": "property_info",
  "listingName": "Modern apartment near the center",
  "infoType": "house_rule",
  "title": "Checkout before 11:00 AM",
  "displayPrice": "$827",
  "listingUrl": "https://www.airbnb.com/rooms/123456789"
}

📅 Calendar Metrics

Turn on Full audit or set includeCalendar to true when you need availability data.

The actor calculates:

• Calendar start and end date
• Total calendar days
• Available and blocked days
• Availability percentage
• Occupancy estimate percentage
• Available revenue estimate for the next 30, 90, and 365 days

Calendar revenue estimates use the listing price available in the run output. Actual booked revenue can differ from public availability and displayed prices.

🔔 Monitoring Changes

Enable monitorChanges and reuse the same monitorKey for the same market, city, search, or listing set.

The Monitor changes tab shows:

• new listings seen for the first time
• changed listings with price, availability, rating, review count, name, or URL changes
• removed listings that disappeared from the latest run
• Previous and current values where available

🎯 Popular Use Cases

• Compare Airbnb prices across cities, neighborhoods, or travel dates
• Track competitor listings by URL
• Build short-term rental datasets for market research
• Monitor new, changed, and removed listings over time
• Analyze guest sentiment and common complaints
• Compare host quality and hosting experience
• Audit amenities, safety notes, and house rules
• Estimate availability and blocked-day signals from calendar data
• Export Airbnb data to CSV, Excel, JSON, or API workflows

💡 Tips

• Start with Quick test to preview the output cheaply.
• Use search-fast for larger market scans.
• Use search-full when you need richer listing details from a location search.
• Use urls when you already know the exact listings to audit.
• Add checkIn and checkOut when prices matter.
• Turn on reviews only when you need review text or review analytics.
• Turn on calendar only when you need availability and calendar metrics.
• Keep the same monitorKey for repeated monitoring runs.

❓ FAQ

Does it collect review text?

Yes. Use Review intelligence, Full audit, or set includeReviews to true. Review text is saved as one row per review in Reviews & calendar.

Does it collect the star rating for each review?

Yes. Each review row includes both a numeric rating and a readable reviewRating value such as ★★★★★ 5/5.

Why do I not see reviews in a fast search?

search-fast is optimized for speed and market scans. Use search-full or urls with reviews enabled when you need review text.

Can I monitor the same market every day?

Yes. Enable monitorChanges, set a stable monitorKey, and run the same input repeatedly. The actor will save changes to the Monitor changes tab.

Why can prices change between runs?

Airbnb prices depend on dates, guests, currency, listing availability, and live marketplace data. Use the same input settings when comparing runs.

What happens if I provide no input?

The actor exits cleanly without a failed run. Add at least one location or listing URL to collect results.

✅ Tested

The current version has been tested with:

• 50-result market scan
• search-fast, search-full, urls, and auto modes
• Direct listing URLs
• Review text and review summary output
• Amenities and house rules output
• Calendar metrics output
• Monitor changes output
• Price, room type, bedrooms, bathrooms, beds, guests, currency, and locale filters