Airbnb Review Scraper

Airbnb Review Scraper

Airbnb Review Scraper is a purpose-built automation tool that helps you scrape Airbnb reviews at scale from listing URLs, host usernames, and keywords. It solves the manual, time-consuming process of paging through reviews by automatically collecting structured ratings, comments, dates, and reviewer/host details — perfect for marketers, developers, data analysts, and researchers. With built-in pagination and a smart proxy fallback, this Airbnb review extractor enables large-scale review analysis, export Airbnb reviews to CSV/JSON, and end-to-end Airbnb review export automation for dashboards, reporting, or sentiment analysis workflows. 🚀

What data / output can you get?

Below are the real JSON fields this Airbnb reviews scraper tool pushes to the Apify dataset. Examples reflect typical values you might see.

Data type	Description	Example value
roomId	Airbnb room/listing ID	12937
startUrl	Source Airbnb listing URL	https://www.airbnb.com/rooms/12937
id	Unique review ID	1234567890
language	ISO language code for the review	en
text	Original review text	“Great place to stay!”
localizedText	Localized review text if available, otherwise same as text	“Great place to stay!”
localizedDate	Human-readable review date	“December 2023”
localizedReviewerLocation	Reviewer’s displayed location	“New York, NY”
createdAt	Review creation timestamp	“2023-12-15T10:30:00Z”
rating	Star rating (number)	5
response	Host response object or null	null
reviewHighlight	Highlighted snippet or null	null
highlightType	Review highlight type or null	null
ratingAccessibilityLabel	Accessible rating label	“5 out of 5”
reviewer	Reviewer object with id, firstName, hostName, pictureUrl, profilePath, profilePicture	{ ... }
reviewee	Host object with id, firstName, hostName, pictureUrl, profilePath, profilePicture	{ ... }
searchKeyword	Keyword used in a keyword-driven run (only for keyword searches)	“beach house”
listingFromSearch	Listing URL that matched a keyword search (only for keyword searches)	“https://www.airbnb.com/rooms/12937”
hostUsername	Username used in a host search run (only for username searches)	“john_doe”
listingFromHostSearch	Listing URL discovered from a host search (only for username searches)	“https://www.airbnb.com/rooms/12937”

Notes:

• Results can be exported as JSON, CSV, or Excel from Apify. This makes it easy to download Airbnb reviews CSV or send Airbnb reviews to Google Sheets.
• Depending on the source and language, optional fields like localizedReview, reviewHighlight, response, reviewer, or reviewee may be null.

Key features

• 🔄 Smart proxy fallback & retries — Starts direct and automatically switches to Residential proxy on blocks with exponential backoff, ensuring resilient Airbnb review data extraction at scale.
• 📚 Pagination-aware review crawler — Efficiently navigates and fetches batches of reviews to cover both recent and historical feedback.
• 🧭 Flexible inputs (URLs, usernames, keywords) — Scrape Airbnb reviews from specific listings, search by host usernames, or discover listings via keyword queries.
• 📦 Structured, analysis-ready output — Clean JSON objects ideal for Airbnb review sentiment analysis, BI dashboards, and data pipelines.
• 🧑‍💻 Developer-friendly (Apify SDK) — Integrate with scripts and workflows; great for Airbnb reviews scraping Python setups and automation.
• 💾 Easy export & automation — Export Airbnb reviews to JSON/CSV/Excel, then connect to spreadsheets or data warehouses for reporting and modeling.
• 🔐 No login required — Works on publicly available Airbnb listing data without authentication.
• ⚙️ Production-ready reliability — Built with robust error handling, block detection, and retry logic to keep runs stable.

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

   • Search for “Airbnb Review Scraper” in the Apify Store and open it.

3. Add your input data

   • In startUrls, provide a mixed list of Airbnb listing URLs, host usernames, or keywords (e.g., “https://www.airbnb.com/rooms/12937”, “john_doe”, “beach house”).

4. Set limits and proxy (optional)

   • maxComments controls the maximum number of reviews to collect per URL (default 50).
   • Configure proxyConfiguration if needed; the scraper auto-switches to Residential on blocks.

5. Run the scraper

   • Click Start. The Airbnb reviews scraper tool will resolve inputs (URLs, usernames, keywords), paginate reviews, and push each review entry to the dataset.

6. Monitor progress

   • Watch the run logs for batch progress and any proxy fallback events.

7. Export your results

   • Download data in JSON, CSV, or Excel, or access via API. This makes it easy to export Airbnb reviews or pipe them into Google Sheets and dashboards.

Pro tip: Automate recurring runs and connect the dataset to your analytics stack for continuous Airbnb review export automation and trend monitoring.

Use cases

Use case name	Description
Market research & trends	Aggregate reviews across cities or segments to quantify themes, ratings, and sentiments for strategy.
Host reputation monitoring	Track new reviews and host responses to manage guest experience and improve listings.
SEO & content optimization	Extract recurring pros/cons guests mention to refine listing descriptions and FAQs.
Data science & NLP	Build labeled corpora for Airbnb review sentiment analysis, topic modeling, and LLM fine-tuning.
Competitive benchmarking	Compare Airbnb ratings and reviews across peer listings to inform pricing and amenities.
API/data pipeline integration	Feed structured review data into ETL jobs, warehouses, and BI dashboards.
Academic & policy research	Study hospitality patterns, review bias, and regional tourism dynamics using longitudinal datasets.
Operations & QA	Detect anomalies in ratings or content to surface potential fraud and quality issues.

Why choose Airbnb Review Scraper?

This Airbnb listing review scraper prioritizes precision, automation, and reliability for production workflows.

• ✅ Accurate, structured fields for analytics — Clean, consistent JSON keys for downstream use.
• 🌍 Multimode inputs — Works with URLs, usernames, and keyword discovery for broader coverage.
• ⚡ Built to scale — Batch collection with pagination; ideal when you need to scrape Airbnb reviews across many listings.
• 🧑‍💻 Developer access — Use with Apify SDK and integrate into Airbnb reviews scraping Python pipelines.
• 🔐 Ethical by design — Targets publicly available listing data; no login or private profile scraping.
• 💸 Cost-effective automation — Export Airbnb reviews to CSV/JSON/Excel and plug into existing workflows.
• 🛡️ More robust than extensions — Intelligent proxy fallback, retries, and server-side stability outperform brittle browser tools.

In short, it’s an Airbnb reviews scraper tool engineered for dependable, large-scale Airbnb review data extraction and export.

Is it legal / ethical to use Airbnb Review Scraper?

Yes — when used responsibly. This actor focuses on publicly available Airbnb listing data and does not access private or authenticated content.

Guidelines for responsible use:

• Only collect public information available without logging in.
• Respect platform terms and avoid sending excessive requests.
• Comply with applicable data protection laws (e.g., GDPR, CCPA).
• Use data ethically for research, analysis, and product improvement — not for spam or misuse.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example input JSON

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

Input parameter reference:

• startUrls (array of string)
  • Description: 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.
  • Required: Yes
  • Default: None
• maxComments (integer)
  • Description: Maximum number of reviews to collect for each URL.
  • Required: No
  • Default: 50
  • Min/Max: 1 to 10000
• proxyConfiguration (object)
  • Description: Starts without proxy. On block/error, switches to RESIDENTIAL and keeps it on.
  • Required: No
  • Properties:
    • useApifyProxy (boolean)
      • Description: UI toggle only; code auto-switches to Residential on block.
      • Default: None
      • Required: No
    • apifyProxyGroups (array of string)
      • Description: e.g., RESIDENTIAL, DATACENTER
      • Default: None
      • Required: No
    • apifyProxyCountry (string)
      • Description: Optional ISO-2 code, e.g., US, GB.
      • Default: None
      • Required: No

Example output JSON (dataset item)

{
  "roomId": "12937",
  "startUrl": "https://www.airbnb.com/rooms/12937",
  "id": "1234567890",
  "language": "en",
  "text": "Great place to stay!",
  "localizedText": "Great place to stay!",
  "localizedReview": {
    "comments": "Great place to stay!"
  },
  "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",
  "reviewer": {
    "id": "reviewer_123",
    "firstName": "John",
    "hostName": "john_doe",
    "pictureUrl": "https://example.com/pic.jpg",
    "profilePath": "/users/show/12345",
    "profilePicture": "https://example.com/profile.jpg"
  },
  "reviewee": {
    "id": "host_456",
    "firstName": "Jane",
    "hostName": "jane_host",
    "pictureUrl": "https://example.com/host.jpg",
    "profilePath": "/users/show/67890",
    "profilePicture": "https://example.com/host_profile.jpg"
  },
  "searchKeyword": "beach house",
  "listingFromSearch": "https://www.airbnb.com/rooms/12937"
}

Notes:

• Optional fields such as localizedReview, reviewHighlight, highlightType, response, reviewer, and reviewee may be null depending on availability.
• For username-based runs, records may include hostUsername and listingFromHostSearch instead of searchKeyword/listingFromSearch.
• A run summary is saved separately as RUN_SUMMARY.json in the key-value store for quick totals and run statistics.

FAQ

Is there a free trial or subscription?

Yes. This actor is offered on a flat monthly plan and includes trial minutes (e.g., 120 trial minutes at the time of publishing). See the Apify listing for current pricing.

Do I need to log in to Airbnb to scrape reviews?

No. The Airbnb Review Scraper operates on publicly available listing data and does not require login or cookies.

Can I download Airbnb reviews as CSV?

Yes. After a run, you can export Airbnb reviews in JSON, CSV, or Excel from the Apify dataset UI, or via API. This makes it easy to send Airbnb reviews to Google Sheets.

Can I scrape by username or keyword instead of just URLs?

Yes. Provide host usernames or keywords in startUrls; the scraper will discover relevant listings and collect reviews accordingly.

How many reviews can I collect per listing?

You control this with maxComments (minimum 1, maximum 10,000 per URL). The scraper paginates and fetches in batches to meet your limit efficiently.

Does this work with Python or APIs?

Yes. It’s built on the Apify platform and works well in Airbnb reviews scraping Python workflows using the Apify SDK or web APIs.

How does the scraper handle blocks or rate limits?

It starts without a proxy and automatically falls back to Residential proxy when blocks are detected, with retries and exponential backoff for reliability.

What fields are included in the output?

Each dataset item includes review IDs, language, text, rating, dates, reviewer/host objects, optional localized content, and context fields for keyword/username searches. See the Output Format section for a full JSON example.

Final thoughts

Airbnb Review Scraper is built to collect clean, structured Airbnb ratings and reviews at scale. With flexible inputs (URLs, usernames, keywords), robust proxy fallback, and export-ready data, it empowers marketers, developers, analysts, and researchers to automate insights and reporting fast. Use it to export Airbnb reviews, power Airbnb review sentiment analysis, and integrate with your pipelines via the Apify SDK or API. Start extracting smarter, scalable review data today.