Airbnb Review Scraper

Airbnb Review Scraper

Airbnb Review Scraper is a fast, reliable Airbnb review extractor that collects review text, ratings, dates, and reviewer/host profile details from Airbnb listings at scale. It solves the manual pain of scrolling and copying by automating Airbnb review data extraction from URLs, host usernames, or keywords—perfect for marketers, developers, data analysts, and researchers who need to scrape Airbnb reviews for insights and decision-making. Use this Airbnb review scraper tool to power sentiment analysis, trend tracking, and bulk reporting with export-ready data.

What data / output can you get?

The actor pushes one JSON object per review to the Dataset with structured fields. Here’s a snapshot of the output you can export (CSV/JSON/Excel supported):

Data type	Description	Example value
roomId	Listing identifier extracted from the URL	"12937"
startUrl	Source Airbnb room URL	"https://www.airbnb.com/rooms/12937"
id	Review ID	"123456789"
language	Original review language	"en"
text	Raw review comment	"Great place to stay!"
localizedText	Localized review comment (if available)	"Great place to stay!"
localizedDate	Human-readable review date	"December 2023"
createdAt	ISO timestamp when review was created	"2023-12-15T10:30:00Z"
rating	Star rating	5
localizedReviewerLocation	Reviewer’s displayed location	"New York, NY"
reviewer	Nested reviewer profile object (id, firstName, hostName, pictureUrl, profilePath, profilePicture)	{ "id": "user_1", "firstName": "John", ... }
reviewee	Nested host profile object (id, firstName, hostName, pictureUrl, profilePath, profilePicture)	{ "id": "host_9", "firstName": "Jane", ... }

Bonus fields (when available): localizedReview, response, reviewHighlight, highlightType, ratingAccessibilityLabel. When you search by host or keyword, the scraper also tags reviews with hostUsername, listingFromHostSearch, searchKeyword, and listingFromSearch to help with downstream analysis.

Key features

• ⚡ Intelligent proxy fallback Automatically starts direct and, on block/error, switches to RESIDENTIAL proxy and keeps it on. Robust block detection, retries, and exponential backoff keep large runs stable.

• 🔎 Flexible inputs (URLs, usernames, keywords) Paste Airbnb room URLs, host usernames, or search keywords. The actor normalizes inputs and discovers listings for host/keyword queries—ideal for an Airbnb listing reviews scraper and Airbnb host reviews scraper workflows.

• 📑 Pagination & batching Efficiently paginates reviews in batches (up to your maxComments) to capture historical feedback in depth.

• 🧩 Structured review & profile data Each review includes core fields (text, rating, dates, language) plus nested reviewer and host objects—perfect for analytics and NLP.

• 📦 Export-ready results Data is saved to the Apify Dataset for easy Airbnb reviews export CSV or JSON downloads—great for “download Airbnb reviews” use cases and BI workflows.

• 🧠 Built with Python Implemented in Python using Apify’s SDK, making it a natural fit if you’re building an Airbnb review scraper Python pipeline or an Airbnb reviews API alternative.

• 🚀 Scales to bulk runs Feed multiple inputs, scrape across listings, and aggregate results—ideal for teams seeking an Airbnb review scraping service without manual effort.

How to use Airbnb Review Scraper - step by step

1. Sign in to Apify Create a free Apify account or log in.

2. Open the actor Find “Airbnb Review Scraper” in the Apify Store and click Try for free.

3. Add your input Paste into startUrls any mix of:

   • Airbnb room URLs (e.g., https://www.airbnb.com/rooms/12937)
   • Host usernames (e.g., john_doe)
   • Keywords (e.g., beach house)

4. Set limits Adjust maxComments to control how many reviews to collect per URL (default: 50).

5. Configure proxy (optional) Use proxyConfiguration to set Apify Proxy preferences. The code auto-switches to RESIDENTIAL on block.

6. Run the scraper Click Start. The actor will search (for usernames/keywords), paginate reviews, and push each review to the Dataset.

7. Download results Open the run’s Dataset to export your data in JSON, CSV, or Excel. Perfect for “Airbnb reviews to Google Sheets” (import CSV) or dashboards.

Pro tip: Use host usernames or topical keywords to gather competitive sets, then export CSV for sentiment analysis or trend tracking across cities and categories.

Use cases

Use case name	Description
Market research – sentiment & trends	Aggregate reviews across listings to quantify themes, ratings, and seasonal shifts.
Host reputation management	Monitor new feedback, track issues, and benchmark against competitors to optimize listings.
Data analytics – export to BI	Use Airbnb reviews export CSV or JSON to power dashboards and cohort analysis.
Developer pipelines (Python)	Integrate this Airbnb review scraper Python actor into ETL jobs and model training.
No-code monitoring	Run periodic keyword/host searches from the UI for a lightweight Airbnb review scraper no code workflow.
Academic & tourism research	Build datasets across locations or categories to study patterns, bias, and guest behavior.
API alternative	Prefer structured exports over brittle HTML scraping—use dataset outputs as an Airbnb reviews API alternative.

Why choose Airbnb Review Scraper?

This production-ready Airbnb listing reviews scraper focuses on accuracy, scale, and resilient operations.

• ✅ Clean, structured data: Reviews with text, ratings, dates, language, and nested reviewer/host objects.
• 🌍 Flexible discovery: Works from URLs, host usernames, or keywords for broader coverage.
• 🧱 Resilient at scale: Proxy fallback to RESIDENTIAL, robust retry logic, and block detection.
• 🐍 Developer-friendly: Python-based implementation fits analytics and pipeline needs.
• 💾 Export-ready: One-click CSV/JSON exports from the Dataset—simple “download Airbnb reviews.”
• 🔒 Responsible by design: Targets publicly available listing reviews only.
• 💡 Cost-effective automation: Skip manual browsing and unstable browser add-ons; run at scale with consistent results.

Is it legal / ethical to use Airbnb Review Scraper?

Yes—when used responsibly. This actor is designed to collect publicly available review data from Airbnb listings.

• Only target publicly accessible pages and content.
• Do not scrape login-protected or private data.
• Respect platform terms, avoid heavy request patterns, and run at reasonable intervals.
• Ensure compliance with your local data protection regulations.
• For edge cases, consult your legal team.

Input parameters & output format

Below is the exact input schema supported by the actor.

Example input

{
  "startUrls": [
    "https://www.airbnb.com/rooms/12937",
    "john_doe",
    "beach house"
  ],
  "maxComments": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Parameters

Field	Type	Required	Default	Description
startUrls	array	Yes	—	List one or more Airbnb URLs (e.g., https://www.airbnb.com/rooms/12937), host usernames (e.g., john_doe), or keywords (e.g., beach house). Supports bulk input.
maxComments	integer	No	50	Maximum number of reviews to collect for each URL (min 1, max 10000).
proxyConfiguration.useApifyProxy	boolean	No	—	UI toggle only; code auto-switches to Residential on block.
proxyConfiguration.apifyProxyGroups	array	No	—	e.g., RESIDENTIAL, DATACENTER.
proxyConfiguration.apifyProxyCountry	string	No	—	Optional ISO-2 code, e.g., US, GB.

Example output item

Each review is pushed individually to the Dataset.

{
  "roomId": "12937",
  "startUrl": "https://www.airbnb.com/rooms/12937",
  "id": "review_123456789",
  "language": "en",
  "text": "Great place to stay!",
  "localizedText": "Great place to stay!",
  "localizedReview": {
    "comments": "Great place to stay!",
    "language": "en"
  },
  "localizedDate": "December 2023",
  "localizedReviewerLocation": "New York, NY",
  "createdAt": "2023-12-15T10:30:00Z",
  "reviewHighlight": null,
  "highlightType": null,
  "rating": 5,
  "response": null,
  "ratingAccessibilityLabel": "5 out of 5",
  "reviewee": {
    "id": "host_001",
    "firstName": "Jane",
    "hostName": "jane_host",
    "pictureUrl": "https://example.com/host.jpg",
    "profilePath": "/users/show/67890",
    "profilePicture": "https://example.com/host_profile.jpg"
  },
  "reviewer": {
    "id": "user_001",
    "firstName": "John",
    "hostName": null,
    "pictureUrl": "https://example.com/user.jpg",
    "profilePath": "/users/show/12345",
    "profilePicture": "https://example.com/user_profile.jpg"
  },
  "hostUsername": "john_doe",
  "listingFromHostSearch": "https://www.airbnb.com/rooms/987654321",
  "searchKeyword": "beach house",
  "listingFromSearch": "https://www.airbnb.com/rooms/24680"
}

Notes:

• Some fields (e.g., localizedReview, response, reviewHighlight, highlightType, ratingAccessibilityLabel) may be null when not present in the source.
• hostUsername/listingFromHostSearch and searchKeyword/listingFromSearch are only included when you run host or keyword searches.

FAQ

Is this an Airbnb review extractor for multiple listings?

Yes. Provide multiple items in startUrls (URLs, host usernames, or keywords) and the actor will process them sequentially, pushing each review to the Dataset.

Can I scrape Airbnb reviews without coding?

Yes. This is a no-code Airbnb review scraper tool you can run from the Apify UI. Just paste your inputs, set maxComments, and click Start.

Does it support host usernames and keywords?

Yes. The actor normalizes inputs and can search listings by host username or keywords, then collect reviews from the discovered listings.

How many reviews can I collect per listing?

You control this with maxComments (default 50, min 1, max 10000). The scraper paginates in efficient batches until the limit or the end of available reviews.

What fields are included in the output?

Core fields include roomId, startUrl, id, language, text, localizedText, localizedDate, createdAt, rating, localizedReviewerLocation, reviewer, and reviewee. Additional fields may include localizedReview, response, reviewHighlight, highlightType, and ratingAccessibilityLabel.

Can I export data to CSV or JSON?

Yes. Results are saved to the Apify Dataset, supporting Airbnb reviews export CSV, JSON, or Excel so you can download Airbnb reviews for analysis or import to Google Sheets.

Is this a Chrome extension?

No. This is a server-side Apify actor (not an Airbnb review scraper Chrome extension). It runs reliably in the cloud with intelligent proxy fallback.

Is there support for Python workflows?

Yes. The actor is implemented in Python and works great for users building an Airbnb review scraper Python pipeline or analytics workflows that consume the exported Dataset.

Closing CTA / Final thoughts

Airbnb Review Scraper is built to extract structured, analysis-ready review data from Airbnb listings at scale. With flexible inputs (URLs, usernames, keywords), reliable proxy fallback, and export-ready outputs, it empowers hosts, marketers, developers, and researchers to move from manual browsing to automated insight generation. Download as CSV/JSON, plug into your analytics stack, or incorporate it into Python-based pipelines. Start extracting smarter, richer Airbnb review insights today.