Airbnb Review Scraper

Airbnb Review Scraper

Airbnb Review Scraper is a scalable Airbnb review scraping tool that extracts structured guest feedback, star ratings, dates, reviewer details, and host metadata from Airbnb listings — fast. It solves the pain of manual copy-paste by turning public reviews into clean records you can analyze, benchmark, and export. Built for hosts, marketers, developers, data analysts, and researchers, this Airbnb review data scraper helps you download Airbnb reviews at scale for sentiment analysis, competitive insights, and pricing strategy.

What data / output can you get?

Below are the real fields this Airbnb review extractor pushes to the dataset. Each row shows the field name, what it means, and a concrete example.

Data type	Description	Example value
roomId	Airbnb listing ID associated with the review	"12937"
startUrl	Source listing URL where the review was collected	"https://www.airbnb.com/rooms/12937"
id	Unique review identifier	"1234567890"
language	ISO language code of the review	"en"
text	Original review comment text	"Great place to stay!"
localizedText	Localized or translated version of the review (if provided)	"Great place to stay!"
localizedReview	Full localized review object from Airbnb (if present)	{ "comments": "Great place to stay!" }
localizedDate	Human-readable date string	"December 2023"
localizedReviewerLocation	Reviewer’s displayed location	"New York, NY"
createdAt	ISO timestamp when the review was created	"2023-12-15T10:30:00Z"
reviewHighlight	Highlighted sentence/summary if available	"Sparkling clean"
highlightType	Highlight category/type if provided	"CLEANLINESS"
rating	Star rating as a number	5
response	Host’s response object if available	{ "createdAt": "2023-12-16T08:00:00Z", "message": "Thanks for staying!" }
ratingAccessibilityLabel	Screen-reader friendly rating label	"5 out of 5"
reviewer	Reviewer object with profile details	{ "id": "user_1", "firstName": "John", "hostName": null, "pictureUrl": "https://…", "profilePath": "/users/show/12345", "profilePicture": "https://…" }
reviewee	Reviewee (host) object with profile details	{ "id": "host_1", "firstName": "Jane", "hostName": "jane_host", "pictureUrl": "https://…", "profilePath": "/users/show/67890", "profilePicture": "https://…" }

Bonus contextual tags (added when you search by username/keyword):

• hostUsername, listingFromHostSearch
• searchKeyword, listingFromSearch

You can export Airbnb reviews to CSV, JSON, or Excel directly from the Apify dataset, or access them via API.

Key features

• ⚡ Intelligent proxy fallback Starts without a proxy and automatically switches to Residential on block/error for reliability and scale.
• 📚 Pagination & batching Collects reviews in efficient batches with offset/limit until your max is reached or reviews run out.
• 🔎 Multiple input modes Accepts listing URLs, host usernames, and keywords to scrape Airbnb reviews by listing or discover listings via search.
• 🧩 Structured, sentiment-ready data Pushes consistent JSON with review text, ratings, dates, reviewer/host objects, and optional highlights for analytics and NLP.
• 📦 Bulk automation Feed many inputs in one run; the actor tracks per-input stats and processes listings at scale.
• 🧠 Context tags for enrichment Adds hostUsername/listingFromHostSearch or searchKeyword/listingFromSearch to reviews collected via username/keyword flows.
• 💻 Developer friendly (Python-based) Runs on Apify’s Python stack; integrate with your pipelines as an Airbnb reviews scraper Python alternative to brittle scripts.
• 🧾 Easy exports Download Airbnb reviews in JSON/CSV/Excel from the dataset or use the Apify API in your BI tools and workflows.
• 🔒 No login required Fetches publicly available review data only — a practical Airbnb reviews API alternative for public content.

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

3. Add your inputs In startUrls, enter one or more:

   • 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 Use maxComments to cap how many reviews to collect per URL (default: 50, up to 10,000).

5. Configure proxy (optional) Under proxyConfiguration, you can set useApifyProxy, apifyProxyGroups (e.g., RESIDENTIAL), and apifyProxyCountry (e.g., US). The scraper auto-switches to Residential on block even if you start direct.

6. Run the actor Click Start. The run logs will show progress, batching, and any fallback events.

7. Review and export results Go to the Dataset tab to preview records. Export to JSON, CSV, Excel, or access via the Apify API.

Pro Tip: Don’t have direct URLs? Start with a keyword or host username. The actor will find matching listings and tag each review with searchKeyword/listingFromSearch or hostUsername/listingFromHostSearch for traceability.

Use cases

Use case name	Description
Market research & sentiment analysis	Aggregate reviews to quantify themes, highlight types, and rating trends for city or category benchmarking.
Host reputation tracking	Monitor recent guest feedback and host responses to improve service quality and listing performance.
Pricing & positioning	Compare competitor listings’ ratings and review highlights to inform pricing and amenity strategies.
Product & SEO teams	Identify what guests praise or criticize to optimize descriptions, photos, and on-page messaging.
Data science & NLP	Build an Airbnb review dataset download for topic modeling, classification, and sentiment pipelines.
Developer pipelines	Use as an Airbnb reviews API alternative in workflows or ETL jobs; export JSON/CSV into your data warehouse.
Academic research	Study tourism behavior, accommodation preferences, and rating distribution across regions.

Why choose Airbnb Review Scraper?

A precise, production-ready Airbnb review crawler tool that balances scale with reliability.

• 🎯 Accuracy-first extraction: Structured fields for reviews, ratings, dates, and profiles — ready for analysis.
• 🌍 Global-ready: Handles localized text and dates; captures language codes and localized fields where available.
• 🚀 Scales with you: Batch pagination and bulk inputs make it easy to download Airbnb reviews across many listings.
• 👩‍💻 Built for developers: Python-based actor on Apify with clean JSON, ideal for pipelines and programmatic access.
• 🔐 Responsible by design: Scrapes publicly available reviews only — no login or private data access.
• 💸 Export flexibility: export Airbnb reviews to CSV/JSON/Excel for BI dashboards and reporting.
• 🛰️ More reliable than extensions: Server-side scraper with proxy fallback beats unstable browser plugins and one-off tools.

In short: a robust Airbnb listing reviews scraper you can trust in production.

Is it legal / ethical to use Airbnb Review Scraper?

Yes — when done responsibly. This actor retrieves publicly available review data and does not access private or login-protected content.

Guidelines to follow:

• Only collect public information visible without authentication.
• Respect platform terms and avoid excessive request rates.
• Comply with applicable regulations (e.g., GDPR/CCPA) for storage and processing.
• Use results ethically; consult your legal team for jurisdiction-specific guidance.

Input parameters & output format

Input JSON example

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

Parameters

• startUrls (array of strings, required): 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. Default: none.
• maxComments (integer, optional): Maximum number of reviews to collect for each URL. Min 1, Max 10000. Default: 50.
• proxyConfiguration (object, optional): Starts without proxy. On block/error, switches to RESIDENTIAL and keeps it on.
  • useApifyProxy (boolean, optional): UI toggle only; code auto-switches to Residential on block.
  • apifyProxyGroups (array of strings, optional): e.g., RESIDENTIAL, DATACENTER.
  • apifyProxyCountry (string, optional): Optional ISO-2 code, e.g., US, GB.

Output JSON example (single review record)

{
  "roomId": "12937",
  "startUrl": "https://www.airbnb.com/rooms/12937",
  "id": "review_12345",
  "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": "Sparkling clean",
  "highlightType": "CLEANLINESS",
  "rating": 5,
  "response": {
    "createdAt": "2023-12-16T08:00:00Z",
    "message": "Thanks for staying!"
  },
  "ratingAccessibilityLabel": "5 out of 5",
  "reviewee": {
    "id": "host_1",
    "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_1",
    "firstName": "John",
    "hostName": null,
    "pictureUrl": "https://example.com/reviewer.jpg",
    "profilePath": "/users/show/12345",
    "profilePicture": "https://example.com/reviewer_profile.jpg"
  }
}

Notes

• If you search by a host username, reviews may include: hostUsername and listingFromHostSearch.
• If you search by a keyword, reviews may include: searchKeyword and listingFromSearch.
• The actor also saves a run summary to the key-value store as RUN_SUMMARY.json with high-level stats (inputs processed, total reviews, proxyUsed, etc.).

FAQ

Can I scrape Airbnb reviews by listing URL, host username, or keyword?

Yes. Provide Airbnb room URLs, host usernames, or keywords in startUrls. The actor normalizes the input and collects reviews accordingly, tagging keyword/host-derived results for traceability.

How many reviews can I download per listing?

You control this via maxComments. The default is 50 and you can raise it up to 10,000 per URL. The scraper paginates in batches until the limit is reached or reviews run out.

Is this an Airbnb reviews API alternative?

Yes. It collects publicly available review data from Airbnb pages and outputs structured JSON, making it a practical Airbnb reviews API alternative for analytics and pipelines.

Can I export Airbnb reviews to CSV?

Yes. After the run, open the Dataset and export Airbnb reviews to CSV, JSON, or Excel. You can also consume the dataset via the Apify API.

Does it require a Chrome extension or login?

No. This Airbnb review scraping tool runs server-side on Apify and does not require a browser extension or account login. It fetches public content only.

Does it work with Python integrations?

Yes. The actor itself is Python-based, making it easy to integrate into Python workflows and data pipelines as an Airbnb reviews scraper Python option.

How does the scraper handle blocking?

It starts without a proxy and automatically falls back to the Apify Residential proxy if a block is detected, improving reliability at scale.

What fields are included for sentiment analysis?

Each review includes text, rating, dates, language, reviewer and host objects, and optional highlight fields (when available), giving you structured inputs for an Airbnb review sentiment analysis tool.

Closing thoughts

Airbnb Review Scraper is built to help you collect clean, structured Airbnb review datasets at scale. With multi-input flexibility, proxy fallback, and export-ready JSON/CSV, it empowers hosts, marketers, developers, analysts, and researchers to benchmark performance, analyze sentiment, and automate reporting. Use it as a reliable Airbnb review crawler tool in your data workflows or integrate via API into your Python pipelines — and start extracting smarter insights today.