Airbnb Reviews Scraper

Extract comprehensive guest reviews from Airbnb.com including detailed ratings, comments, traveler profiles, and host responses. Perfect for reputation analysis, hospitality market research, and competitive intelligence in the short-term rental industry.

What is Airbnb Reviews Scraper?

Airbnb Reviews Scraper is a powerful tool that extracts guest reviews from Airbnb.com, the world's leading accommodation platform with millions of authentic reviews. Get structured data including overall scores, category ratings (cleanliness, communication, location), detailed guest comments, and host responses. Ideal for property managers, rental agencies, market analysts, and hosts looking to analyze guest satisfaction and improve performance.

Key advantages of using this Actor on Apify:

• ⏰ Scheduling - Automatic daily or weekly review extraction
• 🔄 API access - Integrate reviews into your analytics tools
• 🌐 Residential proxies - Reliable scraping without detection
• 📊 Multiple export formats - JSON, CSV, Excel, XML
• 🔗 Integrations - Connect with Zapier, Make, webhooks
• 📈 Real-time monitoring - Track new reviews as they arrive
• ⭐ Detailed analysis - Category ratings and trends
• 💬 Host engagement - Monitor host response rates

What can Airbnb Reviews Scraper do?

This Actor provides powerful features for extracting Airbnb reviews:

✅ Extract by URL - Scrape any Airbnb property via its listing URL ✅ Complete reviews - Full text, ratings, publication dates ✅ Guest profiles - Names, photos, superhost status ✅ Detailed ratings - Category-specific scores (location, cleanliness, etc.) ✅ Host responses - Comments and interactions from property owners ✅ Date filtering - Collect only recent reviews ✅ Customizable limits - Control number of reviews per property ✅ Multilingual data - Reviews in French, English, and other languages ✅ Bulk extraction - Up to 10,000 reviews per run ✅ Rich metadata - Overall score, total review count, distribution

What data can Airbnb Reviews Scraper extract?

Field	Description	Example
Property Name	Listing title	"Studio Residence Mountain View"
Overall Score	Average rating	4.92/5
Total Reviews	Review count	48 reviews
Airbnb URL	Property link	Full URL
Category Ratings	Detailed scores	Hospitality: 30, Location: 24, etc.
Review ID	Unique identifier	"1621075446914143951"
Review Title	Comment headline	"Great stay for a few nights"
Review Text	Full comment	Complete guest feedback
Rating	Star rating	5/5 stars
Created Date	Publication date	"2026-02-14T15:47:32+00:00"
Reviewer Photo	Profile avatar	Photo URL
Superhost Status	If superhost	true/false
Host Response	Owner's reply	Response text or null
Host Name	Property owner	"John"
Host Photo	Owner avatar	Photo URL
Review Language	Comment language	"en", "fr", "es"
Review Photos	Attached images	Array of URLs

How to scrape Airbnb reviews

Using Airbnb Reviews Scraper is simple:

1. Open Airbnb Reviews Scraper in Apify Console
2. Add Airbnb URLs - Paste property listing links
3. Configure options (optional):
   • Maximum number of reviews per property (default: 100)
   • Stop date to limit collection
   • Residential proxies (recommended)
4. Click Start and wait for results
5. Download your data in JSON, CSV, or Excel

Airbnb URL format:

https://www.airbnb.com/rooms/XXXXXXXX
https://www.airbnb.fr/rooms/XXXXXXXX

Example URLs:

• https://www.airbnb.com/rooms/12345678
• https://www.airbnb.fr/rooms/87654321

Integrate with webhooks

Automate your reputation monitoring by setting up webhooks that trigger when scraping completes. Send new reviews to your reputation management tools, analytics dashboards, or alert systems. Perfect for monitoring guest satisfaction in real-time.

How much will it cost to scrape Airbnb reviews?

Airbnb Reviews Scraper uses transparent pay-per-event pricing:

💰 Event-based pricing:

• listings scraped ($0.005 per listing)
• $2 per 1,000 reviews extracted ($0.002 per review)

What you pay for:

• ✅ Only successfully extracted data
• ✅ No monthly subscription
• ✅ Granular and predictable pricing
• ✅ All data fields included
• ✅ Full API access and webhooks
• ✅ Scheduling and monitoring
• ✅ All export formats (JSON, CSV, Excel, XML)
• ✅ Residential proxies included

Cost examples:

Scenario 1: Analyze 10 properties with 50 reviews each

• 10 listings × $0.005 = $0.05
• 500 reviews × $0.002 = $1.00
• Total: $1.05

Scenario 2: Analyze 1 property with 1,000 reviews

• 1 listing × $0.005 = $0.005
• 1,000 reviews × $0.002 = $2.00
• Total: $2.005

Scenario 3: Analyze 100 properties with 100 reviews each

• 100 listings × $0.005 = $0.50
• 10,000 reviews × $0.002 = $20.00
• Total: $20.50

Perfect for:

• 🏠 Property managers monitoring reputation
• 🏢 Short-term rental agencies analyzing competition
• 📊 Market analysts studying hospitality trends
• 💼 Consultants optimizing Airbnb performance
• 📈 Hosts maximizing ratings and revenue
• 🌍 Real estate investors evaluating markets

With Apify's free tier ($5/month credit), you can extract up to 1,000 listings OR 2,500 reviews completely free every month!

Input

Airbnb Reviews Scraper accepts the following parameters. Click on the Input tab for configuration.

Required field:

• Start URLs - List of Airbnb property URLs to analyze

Optional fields:

• Max Number of Reviews - Limit per property (default: 100, min: 1)
• Stop Date - Stop collecting reviews older than this date (ISO format: 2026-01-01)
• Proxy Configuration - Residential proxies (recommended)

URL tips:

• Use complete URLs: https://www.airbnb.com/rooms/XXXXXXXX
• Test with 1-2 URLs first before bulk scraping
• Both .com and .fr URLs work
• You can mix URLs from different countries

Output

Airbnb Reviews Scraper returns structured data downloadable as JSON, CSV, Excel, or XML.

Example output:

{
  "entity": {
    "score": 4.92,
    "businessName": "Mountain View Studio Residence",
    "totalNumberOfReviews": 48,
    "ratings": [
      {
        "count": 30,
        "name": "Hospitality",
        "icon": "https://..."
      },
      {
        "count": 24,
        "name": "Location",
        "icon": "https://..."
      }
    ],
    "businessUrl": "https://www.airbnb.com/rooms/12345678"
  },
  "reviews": [
    {
      "reviewId": "1621075446914143951",
      "title": "Great stay",
      "text": "Everything was perfect, highly recommend!",
      "rating": 5,
      "createdAt": "2026-02-14T15:47:32+00:00",
      "reviewer": {
        "name": "Sarah",
        "id": "43860269",
        "pictureUrl": "https://...",
        "isSuperhost": false
      },
      "response": "Thank you for your stay!",
      "reviewee": {
        "name": "John",
        "id": "106171829",
        "pictureUrl": "https://...",
        "isSuperhost": false
      },
      "language": "en"
    }
  ]
}

The dataset is clean, structured, and ready for analysis in Excel, Tableau, Power BI, or any analytics tool.

Use cases for Airbnb review data

Reputation Management

• Review monitoring - Track new guest comments in real-time
• Satisfaction analysis - Identify strengths and weaknesses
• Temporal trends - Monitor rating evolution over time
• Negative alerts - React quickly to unfavorable reviews

Competitive Intelligence

• Competitor benchmarking - Compare your ratings with competition
• Review analysis - Discover what guests appreciate elsewhere
• Gap analysis - Identify missing amenities or services
• Market positioning - Evaluate your standing vs competitors

Performance Optimization

• Continuous improvement - Identify areas for enhancement
• Staff training - Base training on guest feedback
• Renovation prioritization - Invest based on guest expectations
• ROI measurement - Measure impact of improvements

Market Research

• Seasonal trends - Analyze satisfaction by period
• Guest profiles - Understand your clientele
• Pricing strategy - Optimize rates based on satisfaction
• Geographic expansion - Study new markets

Marketing & Communication

• Customer testimonials - Use best reviews in marketing
• Review responses - Engage with your guests
• Content marketing - Create content based on feedback
• Social proof - Highlight your strengths

Data Science & Analytics

• Sentiment analysis - Analyze comment sentiment
• Topic modeling - Identify recurring themes
• Rating prediction - Model future evolution
• Interactive dashboards - Create visualization tools

Tips for best results

Optimize your extractions:

• 🎯 Start with a small number of reviews to test (50-100)
• 📍 Use stop date to collect only recent reviews
• 🔄 Schedule weekly extractions for continuous monitoring
• 📊 Export to CSV for quick analysis in Excel

Maximize data quality:

• ✅ Verify URLs are correct before starting
• 📱 Use residential proxies to avoid blocks
• 🌐 Test with 1-2 URLs first
• ⭐ Note total review count before extraction
• 🗺️ Collect regularly to track trends

Save with event-based pricing:

• Limit number of reviews if only recent ones matter
• Use stop date to avoid extracting full history
• Schedule targeted extractions rather than massive scrapes
• Test with few URLs before large-scale scraping

Troubleshooting

No reviews extracted?

• ✅ Verify Airbnb URL is correct and accessible
• ✅ Ensure property has published reviews
• ✅ Test URL directly in your browser
• ✅ Check stop date isn't too restrictive

Fewer reviews than expected?

• Increase max reviews limit (default: 100)
• Remove or adjust stop date
• Some properties have fewer reviews than initial count
• Very old reviews may no longer be accessible

Missing data fields?

• Not all guests fill all fields
• Host responses are optional (may be null)
• Review photos are rare
• Some category ratings vary by property type

URL format errors?

• Use complete format: https://www.airbnb.com/rooms/XXXXXXXX
• Both .com and .fr URLs work
• Remove extra parameters (?adults=2, etc.)
• Copy URL from browser address bar

Slow extraction?

• Normal for properties with 500+ reviews
• Residential proxies improve speed
• Split into multiple runs if needed
• Peak hours may slow scraping

Duplicate data?

• Check you haven't listed same URL multiple times
• Use unique reviewId to deduplicate
• Filter by date when importing to tools

Need help?

• 💬 Use Issues tab to report bugs
• 📧 Contact the developer at me@ahmedhrid.com for custom solutions
• 🎓 Check Apify Academy
• 👥 Join Apify Discord

API access and integrations

Airbnb Reviews Scraper provides full API access:

REST API

curl -X POST https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "startUrls": [
      { "url": "https://www.airbnb.com/rooms/12345678" }
    ],
    "maxNumberOfReviews": 100,
    "targetDate": "2025-01-01"
  }'

JavaScript/Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const input = {
  startUrls: [
    { url: "https://www.airbnb.com/rooms/12345678" }
  ],
  maxNumberOfReviews: 200
};

const run = await client.actor("YOUR_ACTOR_ID").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

// Calculate average rating
const avgRating = items[0].reviews.reduce((sum, r) => sum + r.rating, 0) / items[0].reviews.length;
console.log(`Average rating: ${avgRating.toFixed(2)}/5`);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run_input = {
    "startUrls": [
        { "url": "https://www.airbnb.com/rooms/12345678" }
    ],
    "maxNumberOfReviews": 100
}

run = client.actor("YOUR_ACTOR_ID").call(run_input=run_input)
items = client.dataset(run["defaultDatasetId"]).list_items().items

# Analyze sentiment
for item in items:
    positive = sum(1 for r in item['reviews'] if r['rating'] >= 4)
    print(f"Positive reviews: {positive}/{len(item['reviews'])}")

Frequently Asked Questions

How many URLs can I analyze at once?

No technical limit. However, start with 10-20 URLs to test before massive scraping.

Are reviews extracted in real-time?

Yes, data is extracted live from Airbnb at runtime.

Can I get reviews from a specific host?

Yes, add all their property URLs to startUrls.

How to track only new reviews?

Use targetDate with your last extraction date to collect only new reviews.

Are host responses included?

Yes, when hosts have replied, the response field contains their answer.

Are review photos extracted?

Yes, if present, they're in the reviewMediaItems field.

What's the language of reviews?

The language field indicates language (en, fr, es, etc.). Airbnb shows all reviews regardless of language.

Can I analyze competitors?

Yes, add their Airbnb URLs to startUrls for comparison.

How to schedule weekly extraction?

Use the Schedule tab in Apify Console - configure automatic weekly runs.

Can I export to Excel?

Yes, download as CSV or XLSX directly from Apify.

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Built for short-term rental professionals 🏠

Questions? Suggestions? Use the Issues tab or leave a review!

Try Airbnb Reviews Scraper today and transform guest reviews into actionable insights.