🏠 Airbnb Scraper — Listings & Rental Data avatar

🏠 Airbnb Scraper — Listings & Rental Data

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from $25.00 / 1,000 results

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🏠 Airbnb Scraper — Listings & Rental Data

🏠 Airbnb Scraper — Listings & Rental Data

Extract Airbnb listings — prices, reviews, host data, amenities & availability. Build short-term rental analytics, pricing optimization & travel market intelligence. Pay per listing.

Pricing

from $25.00 / 1,000 results

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Developer

Stephan Corbeil

Stephan Corbeil

Maintained by Community

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3 days ago

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🏖️ Airbnb Scraper — AirDNA, AllTheRooms, Mashvisor & Vrbo Insight Alternative

Scrape Airbnb listings by city, URL, or coordinates — title, price, beds, baths, occupancy, amenities, host info, ratings, review count, calendar availability, and review text. Built as a pay-per-result alternative to AirDNA ($20-200+/mo), AllTheRooms, Mashvisor, Transparent (Hopper) for STR investors, revenue managers, hospitality teams, and PropTech builders.

Why Airbnb Scraper Beats AirDNA, AllTheRooms, Mashvisor & Transparent

FeatureNexGenData Airbnb ScraperAirDNAAllTheRoomsMashvisorTransparent (Hopper)
CostPay-per-listing, no seats$20-200+ / month / marketPlan-gated$17-129 / monthEnterprise contract
CoverageAirbnb — globalAirbnb + VrboAirbnb + Vrbo + BookingAirbnb + Vrbo + ZillowMulti-OTA
Listing-level dataYes — fullAggregated + listing detailAggregatedListing detailAggregated
Calendar availabilityYesYesYesYesYes
Reviews + ratingsYes — full textAggregatedAggregatedLimitedAggregated
Bulk exportJSON / CSV / ExcelPlan-gated CSVPlan-gatedPlan-gatedAPI (enterprise)
API accessApify REST + SDKsPaid planPaid planPaid planEnterprise
Auth requiredApify tokenAccount + planAccount + planAccount + planEnterprise contract
Monthly minimumNone$20+ / market$$$17+$$$$

Most STR investors + revenue managers pick this actor instead of AirDNA because AirDNA charges per market ($20-200/month per city) and limits raw-listing access on lower tiers; this actor returns flat per-listing JSON / CSV at $0.005 per record with no market gating. Cheaper than Mashvisor for the listing-detail use case and a drop-in alternative to maintaining your own headless-Chrome Airbnb scraper against constant anti-bot churn.

What You Get Per Listing

Each dataset item is a flat JSON record:

  • listing_id, title, url, room_type (entire / private / shared)
  • address, city, state, country, lat, lng
  • beds, bedrooms, baths, guests (max occupancy)
  • nightly_price, cleaning_fee, service_fee, currency
  • amenities — wifi, pool, hot tub, parking, pet-friendly, etc.
  • rating, review_count, superhost_status
  • host_id, host_name, host_response_rate, host_response_time, host_listings_count
  • instant_book, cancellation_policy, minimum_nights
  • calendar — array of {date, available, price} for the next N days
  • reviews — array of {reviewer, date, rating, text, language} (when included)
  • photos — listing-image URLs
  • last_updated

Use Cases

  • STR investors — underwrite a target market with full per-listing rate + occupancy data
  • Revenue managers — track competitor nightly rates across a portfolio
  • Hospitality operators — benchmark Airbnb pricing vs your hotel rooms in the same market
  • PropTech builders — ingest STR inventory into search / aggregator products
  • Tax + regulatory — track STR inventory by jurisdiction for compliance + tax-policy work
  • DMOs / tourism boards — measure STR supply growth in a destination over time
  • Insurance + lending — verify STR-income claims for borrower / policyholder underwriting

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/airbnb-scraper").call(run_input={
"search_urls": ["https://www.airbnb.com/s/Austin--TX/homes"],
"max_listings": 500,
"include_reviews": True,
"max_reviews_per_listing": 20
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["title"], item["nightly_price"], item["rating"])

Pricing — Pay Per Listing

  • Actor start: $0.01
  • Listing: $0.005

A 500-listing Austin pull = $2.51. A 50K-listing multi-market portfolio audit = $250.01. No monthly minimum, no seats.

Use caseActor
Booking.com scraper (hotel prices + reviews)booking-com-scraper
TripAdvisor scraper (hotels, restaurants, reviews)tripadvisor-scraper
Apartments.com scraper (US rentals)apartments-com-scraper
Zillow scraper (US property prices)zillow-scraper
Redfin real-estate scraperredfin-real-estate-scraper
Real-estate MCP server (AI / Claude / GPT)real-estate-mcp-server
Rightmove UK real-estate scraperrightmove-uk-real-estate-scraper
Boliga Denmark real-estate listingsboliga-denmark-real-estate

FAQ

Q: Geographic coverage? A: Global — every city Airbnb indexes (4M+ active listings across 220+ countries / regions).

Q: Calendar / availability look-ahead? A: Up to 365 days forward depending on host calendar publication.

Q: Schema stability? A: Versioned schema; breaking changes are announced via the actor changelog. Field additions are non-breaking.

Q: How fresh is the data? A: Each run pulls live from Airbnb. Calendar + price update intra-day; reviews update as new reviews are submitted.

Q: Output formats? A: JSON, CSV, Excel via Apify dataset export. Webhooks supported on dataset write.

Q: Legal status? A: Public listing data extracted from public pages. You are the data controller for downstream use — follow your jurisdiction's data-use rules.


How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

  • Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
  • Result / item: charged per item written to the default dataset
  • No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

  • Apify console — point-and-click run
  • Apify API — REST + webhooks
  • Apify Python / JS SDKs — programmatic batch
  • Zapier, Make.com, n8n — official integrations
  • MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
  • Schedules — built-in cron for daily / weekly / monthly runs
  • Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata