AirBnb Listings Scraper

Airbnb Scraper – Extract Listings, Prices, Hosts & Reviews

Extract Airbnb data at scale for research, lead generation, and market analysis—without coding. This Airbnb Scraper helps you collect detailed listing data including pricing, host information, ratings, review counts, and optional deep detail enrichment from listing pages.

What is Airbnb Scraper?

Airbnb Listings Scraper is an Apify Actor that scrapes Airbnb search results by city/location query and (optionally) opens each listing page (/rooms/{id}) to enrich fields such as host, amenities, images, coordinates, and a reviews summary (when Airbnb exposes it).

It’s designed for:

• Short‑term rental market researchers
• Agencies doing host/outreach analysis
• Analysts building dashboards and datasets
• Teams monitoring price and rating signals over time

What This Airbnb Scraper Can Do

• Scrape Airbnb listings by city/location query (multiple locations per run)
• Set check-in / check-out dates to compare pricing and availability signals
• Filter by guest counts, price range, and room type
• Optionally enable deep detail scraping (includeDetails) to enrich host/amenities/images/coordinates and reviews summary
• Export clean data in CSV/JSON/Excel via Apify dataset export

Why Use This Tool?

Unlike generic scrapers, this actor is built around Airbnb’s listing/search structure and produces a structured dataset that’s ready for:

• Market scans (price ranges, listing density, rating signals)
• Lead lists for hosts (host id/name + listing URLs)
• Monitoring runs via schedules (same locations, repeat snapshots)
• BI ingestion and research workflows

Customizable Scraping Options (Input)

Date-based search

• checkIn / checkOut (YYYY-MM-DD) lets you analyze price signals for specific date windows.

Location & keywords targeting

• Use locationQueries like "Dubai", "New York, NY", "London, UK" to target cities, neighborhoods, or regions.

Maximum listings control

• limit caps total results across all locations (stops once reached).

Deep data extraction (optional)

• includeDetails: true opens listing pages and enriches additional fields.
• maxDetailPages can limit how many detail pages are visited per location (useful to control runtime).

Proxy support

• Use proxyConfiguration (residential recommended) for stable runs on Airbnb.

How to Use Airbnb Scraper on Apify

1. Open the actor on Apify and go to the Input tab.
2. Add one or more locationQueries.
3. Optionally set dates, guests, price range, and room types.
4. Keep includeDetails enabled for richer data (slower, but more complete).
5. Start the run → open the Dataset tab → export JSON/CSV/Excel or use the API.

Input configuration

Full schema: INPUT_SCHEMA.json.

Example input:

{
  "locationQueries": ["New York, NY", "London, UK"],
  "checkIn": "2026-06-15",
  "checkOut": "2026-06-22",
  "adults": 2,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "minPrice": 50,
  "maxPrice": 300,
  "roomTypes": ["Entire home/apt", "Private room"],
  "currency": "USD",
  "locale": "en-US",
  "limit": 200,
  "includeDetails": true,
  "maxDetailPages": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Key fields:

• locationQueries: locations to search (one per line)
• checkIn / checkOut: date window (optional)
• adults, children, infants, pets: guest filters
• minPrice / maxPrice: nightly price filter
• roomTypes: filter (Entire home/apt, Private room, Hotel room, Shared room)
• currency / locale: rendering hints
• limit: max total listings across all locations
• includeDetails: enable detail-page enrichment
• maxDetailPages: limit detail-page visits per location (0 = enrich all)
• proxyConfiguration: Apify proxy settings (residential recommended)

Output

Each dataset item is one listing (see .actor/dataset_schema.json). Typical fields:

• Identity: id, url, title, locationQuery
• Content/media: description, thumbnail, images, roomType
• Pricing & rating: price, rating (includes review count when available)
• Host: host (id, name, isSuperHost, profileImage)
• Location: coordinates (lat/lng) and personCapacity (best-effort)
• Amenities: amenities
• Reviews (summary): reviews (best-effort summary object; not individual review texts)
• Timestamp: timestamp

Example item (simplified):

{
  "id": "1249885166911603587",
  "url": "https://www.airbnb.com/rooms/1249885166911603587",
  "title": "Example listing title",
  "description": "…",
  "thumbnail": "https://a0.muscache.com/…",
  "roomType": "ENTIRE_HOME",
  "price": { "label": "$210", "amount": "$210", "qualifier": "night" },
  "rating": { "guestSatisfaction": 4.72, "reviewsCount": 183 },
  "reviews": { "count": 183, "score": 4.72 },
  "host": { "id": "4258607", "name": "Dennis", "isSuperHost": false, "profileImage": "https://a0.muscache.com/…" },
  "coordinates": { "latitude": 40.7557, "longitude": -73.9692 },
  "personCapacity": 2,
  "locationQuery": "New York, NY",
  "amenities": ["Wifi", "Air conditioning"],
  "images": ["https://a0.muscache.com/…"],
  "timestamp": "2026-03-26T08:11:30.975024Z"
}

Use cases

• Short-term rental market research: compare price signals and listing density by area
• Lead generation / outreach research: collect host + listing URLs for analysis workflows
• Competitor analysis: review counts, ratings, room types, amenities mix
• Travel & hospitality analytics: build datasets for dashboards or investment research

FAQ

What data can I extract using this Airbnb scraper?

Listings with IDs, URLs, titles, prices, rating/review counts, and (when includeDetails is enabled) host, amenities, images, coordinates, and best‑effort reviews summary.

Can I scrape listings for specific locations?

Yes—use locationQueries (cities, neighborhoods, or regions).

Does it support date-based pricing analysis?

Yes—set checkIn and checkOut.

Can I limit how many listings are scraped?

Yes—use limit (total across all locations) and optionally maxDetailPages to control enrichment runtime.

Does it collect full review text?

No—this actor captures rating and review counts, plus a reviews summary object when available. It does not extract full review text threads.

Is proxy support available?

Yes—use proxyConfiguration (residential recommended for stability).

In what format will I receive the data?

Export JSON, CSV, or Excel via Apify dataset export.

Actor permissions

This actor is designed to run with limited permissions: it reads input and writes dataset items.

Limitations

• Airbnb frontend/API structures can change; some fields are best-effort.
• For large runs, increase timeout/memory and use residential proxy.
• Reviews are summary-level, not full comment text.

License

MIT (see LICENSE).

Get started

Add your target locationQueries, set dates/filters, keep includeDetails enabled for richer data, and run the actor on Apify to export your dataset.