Airbnb Scraper — Listings, Prices, Reviews & Host Data

What does Airbnb Scraper do?

Airbnb Scraper extracts structured stay listings from airbnb.com — price, ratings, room type, amenities, photos, coordinates, and host-written descriptions. Pass one or more locations and get the full set of stays for each area, not just the first page the site shows, so large cities come back complete. Filter by nightly price, room type, bedrooms, guests, and stay dates, plus an optional lat/long radius. Choose what each run returns: full listing records, individual guest reviews (text, rating, date, reviewer, host response), or just listing URLs for fast, cheap discovery. Paste any Airbnb room or search URL, and run incrementally to capture only new, changed, or removed listings.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🗺️ Full-city coverage — pass one or more locations (a city, neighborhood, or "City, ST") and get the full set of stays for each area — not just the first page — so large cities come back complete. Filter by price, room type, bedrooms, guests, and dates, plus an optional lat/long radius.
• 📋 Host description & amenities — optionally add each stay's full host description and amenity list on top of the search-card fields. Off by default for fast, cheap runs; billed only per enriched listing.
• 💵 Price & ratings — structured nightly price with currency, the original pre-discount price when a stay is discounted, and the average rating with review count — ready to rank, compare, or track.
• 🔗 Paste-mode — build a search on airbnb.com, copy the URL, and paste it — location and filters are read from the URL. Paste room URLs too; results dedupe by listing id.
• ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from Airbnb?

Each result includes Core property fields (listingId, listingUrl, name, title, roomType, price, avgRating, and reviewCount, and more) and detail fields when enrichment is enabled (description). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• mode — Listings (default) returns full listing records. Reviews returns flat review rows for the resolved listings. URLs returns just the listing URLs (cheapest, for discovery). (default: "listings")
• searchLocations — One or more places: a city, a neighborhood, or "City, ST" (e.g. "New York, NY"). Each is searched independently. Leave empty if you only use Start URLs.
• startUrls — Paste Airbnb room URLs (e.g. https://www.airbnb.com/rooms/12345678) or search-result URLs. Room URLs target a specific listing (used by Reviews / URLs mode); search URLs read their location from the URL and the filters below still apply.
• maxResults — Maximum records to return (0 = full coverage). Full coverage works even for very large cities. (default: 100)
• maxQueries — Optional hard ceiling on how much work full-coverage runs do. Leave empty for the default. Lower it to cap cost on very dense areas.
• priceMin — Minimum nightly price.
• priceMax — Maximum nightly price.
• roomTypes — Restrict to one or more room types. Leave empty for all. (default: [])
• minBedrooms — Minimum number of bedrooms.
• adults — Number of guests (adults) to price for.
• checkin — Optional stay start date (YYYY-MM-DD). Use with Check-out to price a specific stay.
• checkout — Optional stay end date (YYYY-MM-DD).
• ...and 28 more parameters

Input examples

Stays in a city — Search one or more locations (a city, a neighborhood, or "City, ST").

→ Full listing records with nightly price, rating, review count, room type, coordinates, photos, and badges.

{
  "searchLocations": [
    "New York, NY"
  ],
  "roomTypes": [
    "Entire home/apt"
  ],
  "maxResults": 100
}

Deals under a nightly price cap — Filter by location and a maximum nightly price.

→ Listings within the price band, each with rating, room type, and coordinates.

{
  "searchLocations": [
    "Austin, TX"
  ],
  "priceMax": 150,
  "maxResults": 100
}

Daily monitoring of a city — Re-run on a schedule to capture only new, changed, and removed stays.

→ Records tagged NEW / UPDATED / EXPIRED against the previous run.

{
  "searchLocations": [
    "Miami, FL"
  ],
  "incrementalMode": true,
  "stateKey": "miami-fl-stays",
  "maxResults": 500
}

Reviews for a listing — Switch to reviews mode and target a specific stay (or a whole city).

→ Flat review rows — text, rating, date, reviewer, language, and host response.

{
  "mode": "reviews",
  "startUrls": [
    "https://www.airbnb.com/rooms/12345678"
  ],
  "reviewsMaxPerListing": 50
}

Paste a search URL — Build the search you want on airbnb.com, copy the URL, and paste it. The location is read from the URL.

→ The stays from exactly that search, merged and deduplicated.

{
  "startUrls": [
    "https://www.airbnb.com/s/Seattle--WA/homes"
  ],
  "maxResults": 100
}

Output

Each run produces a dataset of structured property records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example property record

{
  "listingId": "53502855",
  "listingUrl": "https://www.airbnb.com/rooms/53502855",
  "name": "Sunny Brooklyn loft with skyline view",
  "title": "Entire rental unit in Brooklyn",
  "roomType": "Entire rental unit",
  "price": {
    "amount": 184,
    "originalAmount": 230,
    "label": "$184 night, originally $230",
    "qualifier": "night",
    "currency": "USD"
  },
  "avgRating": 4.92,
  "reviewCount": 318,
  "coordinate": {
    "lat": 40.71235,
    "lng": -73.95678
  },
  "images": [
    "https://a0.muscache.com/im/pictures/miso/Hosting-53502855/original/aa11bb22.jpeg",
    "https://a0.muscache.com/im/pictures/miso/Hosting-53502855/original/cc33dd44.jpeg"
  ],
  "badges": [
    "Superhost"
  ],
  "description": "Bright top-floor loft a short walk from Prospect Park, with a full kitchen, fast Wifi, and a private balcony overlooking the skyline. Self check-in and dedicated workspace.",
  "amenities": [
    "Wifi",
    "Kitchen",
    "Air conditioning",
    "Self check-in",
    "Dedicated workspace"
  ],
  "scrapedAt": "2026-06-22T10:00:00.000Z",
  "contentHash": "9f2c1ab34de56789a0b1c2d3e4f5a6b7c8d9e0f1"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape Airbnb

1. Go to Airbnb Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract property data from Airbnb for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed properties on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape Airbnb?

Airbnb Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per property (primary event): $0.0048

You are billed only for the events your run actually triggers. Prices below are the Free plan tier.

Event	Price (Free tier)	Charged when
Actor Start	$0.005 (one-time)	Charged once when the Actor starts running.
Listing (primary)	$0.0048	Charged per listing returned in the default dataset.
Detail enrichment	$0.0032	Charged per listing enriched with the full host description and amenity list. Only when Include Detail Enrichment is on.
Review	$0.004	Charged per review returned (Reviews mode, or when Attach Reviews is on).
Listing URL	$0.004	Charged per listing URL returned in URLs (discovery) mode.

Example costs (primary event only — other events above add cost when they fire):

• 10 results: $0.053
• 25 results: $0.13
• 100 results: $0.48
• 200 results: $0.96
• 500 results: $2.4

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of properties that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Numbers below are for the primary Listing event. Other events (Detail enrichment, Review, Listing URL) are billed separately when they fire.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$1.20	$0.07	$1.14 (95%)	$1.95
15% — moderate broad query	$1.20	$0.18	$1.02 (85%)	$5.55
30% — high-volume aggregator	$1.20	$0.36	$0.84 (70%)	$10.95

Full re-scrape monthly cost at daily polling: $36.15. First month with incremental costs $3.09 / $6.57 / $11.79 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from Airbnb?

The number of results depends on the search query and available properties on Airbnb. Use the maxResults parameter to control how many results are returned per run.

Does Airbnb Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed properties on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Airbnb Scraper with other apps?

Yes. Airbnb Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Airbnb Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Airbnb Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape Airbnb?

This actor extracts publicly available data from Airbnb. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

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1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

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