Airbnb Reviews Scraper — Text, Rating, Date & Host Reply

What does Airbnb Reviews Scraper do?

Airbnb Reviews Scraper extracts guest reviews from airbnb.com as flat, structured JSON rows — review text, star rating, date, reviewer name and location, language, and the host's public reply. Paste one or more Airbnb room URLs to scrape a listing's reviews, or enter cities to discover listings and pull reviews for each. Every row is tagged with its listing id so reviews are easy to join, group, and feed into sentiment analysis.

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

• 💬 Reviews for one listing or a whole city — scrape reviews for a single Airbnb listing or for every listing across a city in one run. Each review comes back as a flat row — review text, star rating, date, reviewer name and location, language, the host's public reply when present, and the listing id it belongs to. Cap reviews per listing and choose the order: most relevant or most recent.
• 🔗 Paste room URLs — copy an Airbnb room URL straight from your browser (…/rooms/12345678) and paste it — the scraper pulls that listing's reviews. Paste many at once, or paste a search URL to read the location from it and review every listing found.
• 🧱 Flat, ready-to-analyze rows — reviews are emitted as clean, flat JSON rows — one record per review — so they drop straight into a spreadsheet, database, or sentiment-analysis pipeline without reshaping nested data.
• 🧹 Empty-field stripping — drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards that already handle missing fields gracefully.
• 🔌 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, reviewId, text, rating, language, createdAt, localizedDate, and reviewerName, and more). All fields are always present — unavailable data points are returned as null, never omitted.

Input

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

Key parameters:

• startUrls — Paste Airbnb room URLs (e.g. https://www.airbnb.com/rooms/12345678). Reviews are scraped for each. Search-result URLs also work — their location is read from the URL.
• searchLocations — One or more places: a city, a neighborhood, or "City, ST" (e.g. "New York, NY"). Each is searched to discover listings, then reviews are scraped for each listing found. Leave empty if you only use Listing URLs.
• reviewsMaxPerListing — Cap the number of reviews fetched per listing (0 = all available). (default: 10)
• reviewSort — How to order reviews. (default: "best")
• maxResults — Maximum reviews to return (0 = no limit). When discovering by location, also bounds how many listings are scanned. (default: 100)
• maxQueries — Optional hard ceiling on how much work location discovery does. Leave empty for the default. Lower it to cap cost on very dense areas.
• priceMin — When discovering by location, only pull reviews for listings at or above this nightly price.
• priceMax — When discovering by location, only pull reviews for listings at or below this nightly price.
• roomTypes — When discovering by location, restrict to one or more room types. Leave empty for all. (default: [])
• excludeEmptyFields — Drop null / empty-string fields from each review record. (default: false)
• telegramToken — Telegram bot token (from @BotFather). Required for Telegram notifications.
• telegramChatId — Telegram chat or channel ID where alerts are sent.
• ...and 11 more parameters

Input examples

Reviews for a listing — Paste an Airbnb room URL (…/rooms/12345678) to scrape its reviews.

→ Flat review rows — text, rating, date, reviewer, language, and the host's public reply.

{
  "startUrls": [
    "https://www.airbnb.com/rooms/12345678"
  ],
  "reviewsMaxPerListing": 100
}

Reviews across a city — Enter one or more locations to discover listings and pull reviews for each.

→ Review rows for every listing found, each tagged with its listing id.

{
  "searchLocations": [
    "New York, NY"
  ],
  "reviewsMaxPerListing": 20,
  "maxResults": 1000
}

Most recent reviews only — Order reviews most-recent-first to track guest sentiment over time.

→ The latest reviews for the listing, newest first.

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

Reviews for entire homes in a city — Filter discovery by room type when pulling reviews across a location.

→ Review rows for entire-home listings in the city.

{
  "searchLocations": [
    "Austin, TX"
  ],
  "roomTypes": [
    "Entire home/apt"
  ],
  "reviewsMaxPerListing": 20,
  "maxResults": 1000
}

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": "12345678",
  "reviewId": "987654321012345678",
  "text": "Amazing stay! The apartment was spotless, exactly as pictured, and in a perfect location a short walk from the subway. The host was responsive and check-in was effortless. Would absolutely book again.",
  "rating": 5,
  "language": "en",
  "createdAt": "2026-05-18T00:00:00.000Z",
  "localizedDate": "May 2026",
  "reviewerName": "Sarah",
  "reviewerId": "44556677",
  "reviewerLocation": "Chicago, Illinois",
  "hostResponse": "Thank you so much, Sarah — you were wonderful guests and welcome back any time!",
  "highlight": "Guest favorite"
}

How to scrape Airbnb

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

Use cases

• Extract property data from Airbnb for market research and competitive analysis.
• 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 Reviews 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 result: $0.004 per property record

Example costs:

• 10 results: $0.045
• 25 results: $0.11
• 100 results: $0.41
• 200 results: $0.81
• 500 results: $2

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.

Can I integrate Airbnb Reviews Scraper with other apps?

Yes. Airbnb Reviews 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 Reviews 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 Reviews Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use 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.

You might also like

• Airbnb Realtime API — Live Listing, Reviews & Search Lookups — Real-time Airbnb lookups via a persistent standby server — fetch a single listing, its reviews.
• Airbnb Scraper — Listings, Prices, Reviews & Host Data — Scrape Airbnb stays — listings with price, ratings, amenities, host info, photos, GPS and full.
• Airbnb URL Scraper — Fast, Cheap Listing URL Discovery — Discover every Airbnb listing URL for a city, neighborhood or search — the cheapest way to.
• Idealista Scraper — Spain, Portugal & Italy — Scrape idealista.com / .pt / .it property listings with prices, photos, GPS, agent phone numbers.
• Immowelt Scraper — German Real Estate Listings — Scrape immowelt.de — one of Germany's largest residential property portals — and pull every active.
• Metrocuadrado Scraper — Colombia Real Estate Listings — Scrape Metrocuadrado property listings across Colombia with full pricing, price-per-m², area,.
• Realtor Scraper — US Real Estate Listings & Property Data — Scrape US real estate from realtor.com — for-sale, for-rent & recently-sold listings with price &.
• Realtor.com Agents Scraper — Contacts & B2B Leads — Scrape realtor.com real-estate agents by US city or ZIP with full contacts: direct & office phone,.

Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

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

Need more later? See Apify pricing.