Airbnb Rooms URLs Scraper

Airbnb Rooms URLs Scraper

Airbnb Rooms URLs Scraper is a production-ready Apify actor that discovers and extracts public Airbnb room listing links and rich metadata at scale. It solves the problem of quickly finding and enriching Airbnb listing URLs (by location, keywords, and direct links) with structured details like property type, capacity, ratings, amenities, and host info. Built for marketers, developers, data analysts, and researchers, this Airbnb listing URLs scraper combines keyword-based discovery with robust extraction so you can power market research, pricing analysis, SEO tracking, and outreach at scale.

What data / output can you get?

Below are representative fields the actor saves to the Apify dataset for each listing. Values are examples from real outputs and the actor’s extraction logic.

Data field	Description	Example value
url	Final Airbnb room page URL with applied query params (dates, guests, locale, currency)	https://www.airbnb.com/rooms/668146487515150072?locale=en-US&currency=USD
id	Airbnb listing ID	668146487515150072
propertyType	Property type from sharing config	Private room in rental unit
roomType	Listing room type from logging context	private_room
personCapacity	Max number of guests	6
rating.guestSatisfaction	Overall guest satisfaction score	4.99
rating.reviewsCount	Total reviews count	73
amenities	Amenity groups with titles and values (title, subtitle, icon, available)	[{"title":"Bathroom","values":[{"title":"Hair dryer","icon":"SYSTEM_HAIRDRYER","available":true}]}]
highlights	Listing highlights with title, subtitle, icon, type	[]
host.id	Host user ID (decoded)	12345678
host.name	Host display name	“Alex”
coordinates.latitude	Latitude of the listing	40.7128
images	Photo objects with caption, imageUrl, orientation	[{"caption":"Living room","imageUrl":"https://...%22,%22orientation%22:%22LANDSCAPE"}]

Bonus fields include location breadcrumbs, cancellationPolicies, houseRules, htmlDescription (raw), description (text), subDescription items, and device deeplinks (androidLink, iosLink). Results can be exported from the dataset in JSON or CSV for downstream use.

Key features

• 🚀 Smart proxy fallback & stickiness
  Starts with no proxy for speed, falls back to datacenter and then residential proxies when blocked. Once residential is triggered, it sticks for the rest of the run for a higher success rate.

• 🔍 Keyword-powered discovery
  Acts as an Airbnb search results URL scraper by turning plain-text keywords (e.g., “Paris apartment”) into real Airbnb room page links automatically.

• 🧠 Mixed input support
  Accepts direct Airbnb room URLs and free-form keywords in the same startUrls array, making it a flexible Airbnb rooms URL extractor tool for bulk workflows.

• 📊 Rich, structured output
  Beyond URLs, it functions as an Airbnb listing ID and URL scraper with detailed fields: propertyType, roomType, personCapacity, rating breakdown, amenities, images, host info, and more.

• 👥 Optional host enrichment
  Toggle enrichUserProfiles to fetch additional host/co-host public profile details without authentication.

• 🧰 Developer friendly
  Built on Apify SDK with clean JSON outputs, making it easy to integrate into APIs, scripts, and pipelines for “Airbnb listings URL crawler” use cases.

• ⚙️ Concurrent & resilient
  Handles parallel requests (concurrency limit 10) with retry logic and robust anti-blocking detection for reliable bulk extract Airbnb room URLs workflows.

• 💾 Real-time saving
  Streams items to the Apify dataset and maintains a key-value “OUTPUT” map keyed by requestedUrl/url for quick lookups and incremental consumption.

How to use Airbnb Rooms URLs Scraper - step by step

1. Create or log in to your Apify account at console.apify.com.
2. Find and open the “Airbnb-Rooms-URLs-Scraper” actor.
3. Add input:
   • Paste a list of values into startUrls. Each item can be:
     • A direct Airbnb room URL (e.g., https://www.airbnb.com/rooms/53997462)
     • A keyword or location (e.g., Paris apartment) for automatic discovery
4. Configure options (optional):
   • checkIn / checkOut in YYYY-MM-DD
   • locale (default en-US) and currency (default USD)
   • adults, children, infants, pets
   • enrichUserProfiles (default false)
   • proxyConfiguration (starts with NO proxy by default; automatic fallback enabled)
5. Start the run and monitor logs:
   • The actor resolves keywords into room URLs, applies any date/guest params, and extracts full details.
   • If blocking is detected, it falls back to datacenter, then residential proxies with retry.
6. Access results:
   • Dataset: Each listing is saved as an item (exportable as JSON or CSV).
   • Key-Value Store: “OUTPUT” key holds a URL-keyed JSON object for quick access.
7. Pro Tip: Use the dataset’s API URL (see run details) to automate ingestion into BI tools or internal APIs for ongoing Airbnb rooms URL extractor tool workflows.

Use cases

Use case	Description
Market research & trend analysis	Aggregate listings by city/keyword to analyze property types, amenities, ratings, and capacity distributions for data-driven insights.
SEO tracking & outreach	Use this Airbnb room links extractor to track listing pages for partners, then export URLs for link audits and outreach programs.
Competitive benchmarking	Compare Airbnb room page links and metadata across neighborhoods to inform pricing strategy and positioning.
Investor diligence	Build a dataset via the Airbnb listings URL crawler to evaluate segments: roomType, personCapacity, review counts, and highlights.
Data enrichment pipelines	Integrate the Airbnb URL scraper for rooms into ETL/ELT workflows; consume the dataset API for continuous updates.
Academic & policy studies	Collect structured Airbnb room listing URLs and metadata for tourism, housing, and urban planning research.
Host portfolio audits	For Airbnb hosts and consultants, bulk extract Airbnb room URLs from searches and enrich host/co-host profiles for portfolio intelligence.

Why choose Airbnb Rooms URLs Scraper?

This tool blends precision URL discovery with structured extraction, built for automation and reliability at scale.

• ✅ Accurate extraction from public Airbnb pages using robust JSON parsing
• 🌍 Locale and currency-aware headers for regionalized results
• 📈 Built for scale with concurrent requests and retry logic
• 🧩 Developer access via Apify datasets and key-value store “OUTPUT”
• 🔒 No login or cookies required; focuses on publicly available data
• 💸 Cost-conscious defaults (no proxy by default; falls back only if blocked)
• 🔗 Works end-to-end as an Airbnb listing URL finder and data extractor in one

Compared to unstable browser extensions, this production-ready Airbnb room page links scraper offers resilient proxy handling, structured outputs, and integration-friendly storage. It’s purpose-built for reliability and repeatability.

Is it legal / ethical to use Airbnb Rooms URLs Scraper?

Yes, when used responsibly. This actor fetches publicly available Airbnb listing and user profile pages without authentication. You should:

• Collect only public data and avoid private or gated content
• Review and respect Airbnb’s Terms of Service
• Ensure compliance with data protection laws (e.g., GDPR, CCPA)
• Use outputs responsibly and avoid spam or abusive practices
• Consult your legal team for edge cases or jurisdiction-specific requirements

Input parameters & output format

Example input

{
  "startUrls": [
    "https://www.airbnb.com/rooms/53997462",
    "New York City apartment"
  ],
  "checkIn": "2026-05-10",
  "checkOut": "2026-05-14",
  "locale": "en-US",
  "currency": "USD",
  "adults": 2,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "enrichUserProfiles": false,
  "proxyConfiguration": { "useApifyProxy": false }
}

Input parameters

Name	Type	Required	Default	Description
startUrls	array	Yes	—	List of Airbnb properties to scrape. Accepts direct room URLs and keywords as plain strings. Example: https://www.airbnb.com/rooms/668146487515150072
enrichUserProfiles	boolean	No	false	If enabled, makes extra requests for each host/co-host to get more detailed public profile info. Skips private/unavailable profiles.
checkIn	string (YYYY-MM-DD)	No	—	Check-in date. Must match YYYY-MM-DD; invalid values are ignored.
checkOut	string (YYYY-MM-DD)	No	—	Check-out date. Must match YYYY-MM-DD; invalid values are ignored.
locale	string (enum)	No	en-US	Localized results (language and region) used for headers.
currency	string (enum)	No	USD	Currency used for headers (x-airbnb-currency).
adults	integer (min 1)	No	—	Number of adult guests; values below 1 are clamped to 1 if provided.
children	integer (min 0)	No	—	Number of children; values below 0 are clamped to 0 if provided.
infants	integer (min 0)	No	—	Number of infants; values below 0 are clamped to 0 if provided.
pets	integer (min 0)	No	—	Number of pets; values below 0 are clamped to 0 if provided.
proxyConfiguration	object	No	{"useApifyProxy": false}	Choose proxies. Starts with NO proxy; falls back to datacenter → residential automatically if blocked.

Example output (dataset item)

{
  "id": "668146487515150072",
  "coordinates": {
    "latitude": 40.7128,
    "longitude": -74.006
  },
  "descriptionOriginalLanguage": "en",
  "metaDescription": "Charming private room in the heart of the city.",
  "seoTitle": "Private room in rental unit - New York",
  "sharingConfigTitle": "Stay in a cozy room",
  "thumbnail": "https://a0.muscache.com/...",
  "url": "https://www.airbnb.com/rooms/668146487515150072?locale=en-US&currency=USD&check_in=2026-05-10&check_out=2026-05-14&adults=2",
  "androidLink": "airbnb://...",
  "iosLink": "airbnb://...",
  "propertyType": "Private room in rental unit",
  "roomType": "private_room",
  "homeTier": "standard",
  "personCapacity": 2,
  "rating": {
    "accuracy": 5.0,
    "checking": 5.0,
    "cleanliness": 5.0,
    "communication": 5.0,
    "location": 5.0,
    "value": 4.9,
    "guestSatisfaction": 4.99,
    "reviewsCount": 73
  },
  "location": "New York, United States",
  "host": {
    "id": "12345678",
    "contextualUserId": "12345678",
    "name": "Alex",
    "profileImage": "https://a0.muscache.com/...",
    "isSuperHost": true,
    "isVerified": true,
    "highlights": [],
    "about": "",
    "ratingCount": 73,
    "ratingAverage": 4.98,
    "hostDetails": [],
    "timeAsHost": {}
  },
  "coHosts": [],
  "locationSubtitle": "Near Central Park",
  "locationDescriptions": [
    {
      "title": "Getting around",
      "content": "<p>Subway stations nearby...</p>",
      "mapMarkerRadiusInMeters": 0
    }
    ],
  "title": "Sunny room in Manhattan",
  "description": "Sunny room in Manhattan. Subway stations nearby...",
  "htmlDescription": {
    "htmlText": "<p>Sunny room in Manhattan...</p>",
    "recommendedNumberOfLines": 3
  },
  "subDescription": {
    "title": "What this place offers",
    "items": ["Wifi", "Kitchen", "Elevator"]
  },
  "isAvailable": false,
  "price": {
    "label": "To get prices, specify check-in and check-out date in the input. Price will be returned only if the accommodation is available for the selected dates."
  },
  "brandHighlights": {
    "subtitle": null,
    "hasGoldenLaurel": null
  },
  "images": [
    {
      "caption": "Living room",
      "imageUrl": "https://a0.muscache.com/...",
      "orientation": "LANDSCAPE"
    }
  ],
  "breadcrumbs": [
    {
      "linkRoute": "/s/New-York--NY/homes",
      "linkText": "New York",
      "searchText": "New York"
    }
  ],
  "highlights": [],
  "houseRules": {
    "additional": null,
    "general": [
      {
        "title": "House rules",
        "values": [
          { "title": "No smoking", "icon": "SYSTEM_NO_SMOKING", "additionalInfo": "" }
        ]
      }
    ]
  },
  "cancellationPolicies": [
    {
      "title": "Flexible",
      "policyName": "Flexible",
      "policyId": 1
    }
  ],
  "amenities": [
    {
      "title": "Bathroom",
      "values": [
        { "title": "Hair dryer", "subtitle": "", "icon": "SYSTEM_HAIRDRYER", "available": true }
      ]
    }
  ],
  "timestamp": "2026-04-03T01:58:46Z",
  "language": "en",
  "checkIn": "2026-05-10",
  "checkOut": "2026-05-14",
  "requestedUrl": "https://www.airbnb.com/rooms/668146487515150072"
}

Notes:

• Items are saved to the default dataset (one per listing) and to the key-value store under the “OUTPUT” key as a URL-keyed map.
• Some fields may be null or empty when unavailable on the page or when dates/guest parameters are not provided. The price field includes a label when availability/pricing cannot be determined for the selected dates.
• If enrichUserProfiles is true, additional profile objects may be attached to host.profile and coHosts[].profile (when publicly available).

FAQ

Does this actor only collect URLs, or does it extract listing data too?

It extracts both. It works as an Airbnb room links extractor to find and scrape Airbnb listing URLs from keywords, and it also returns structured metadata such as propertyType, personCapacity, ratings, amenities, images, and host details.

Do I need to log in or provide cookies?

No. The actor accesses publicly available pages without authentication. It builds standard headers and uses proxy fallback when needed.

Can I just paste keywords like “Paris apartment” into startUrls?

Yes. If a startUrls item is not a room URL, it’s treated as a keyword. The actor runs an Airbnb search and extracts room URLs from the results, acting as an Airbnb search results URL scraper.

How does the proxy fallback work?

The actor starts with no proxy by default. If a request is blocked, it falls back to a datacenter proxy, and if blocked again, to a residential proxy. Once residential is triggered, it sticks with residential for all remaining requests, with up to 3 retries per blocked request.

How many listings can I run at once?

The actor processes requests concurrently with a limit of 10, enabling efficient batch runs for bulk extract Airbnb room URLs workflows. For very large jobs, you can run multiple tasks or schedules on Apify.

What output formats are available?

All items are saved to the Apify dataset, which you can download as JSON or CSV. A consolidated URL-keyed JSON object is also stored under the key “OUTPUT” in the key-value store.

What does enrichUserProfiles do?

When set to true, the actor makes additional public requests to host/co-host profile pages to extract more host details. If a profile is private or an error occurs, it’s skipped and won’t appear in the output.

Can I set dates, guests, locale, and currency?

Yes. Use checkIn/checkOut (YYYY-MM-DD) and guests (adults, children, infants, pets). The actor also applies locale and currency to request headers, and appends date/guest params to each listing URL.

Closing CTA / Final thoughts

Airbnb Rooms URLs Scraper is built to discover and scrape Airbnb room listing URLs and turn them into structured, analysis-ready data. With resilient proxy fallback, concurrent processing, and export-ready datasets, it’s ideal for marketers, analysts, researchers, and developers who need to scrape Airbnb listing URLs and metadata at scale. Start in the Apify console, or plug the dataset API into your Python/automation stack to power an end-to-end Airbnb listings URL crawler pipeline. Start extracting smarter today.