Booking Reviews Scraper (Fast & cheap) ⭐

🏨 Booking Reviews Scraper — Extract Hotel Reviews from Booking.com

The Booking Reviews Scraper is a powerful and easy-to-use tool designed to extract detailed guest reviews from Booking.com listings. By providing a hotel review page URL, you can collect structured data from real customer experiences to support sentiment analysis, customer satisfaction research, and more.

✅ What This Scraper Extracts

For each review, the scraper retrieves:

Review ID 🔢: Unique identifier for the review

Review Score ⭐: Guest rating (e.g., 8.0)

Review Date 📅: Date the review was posted

Approved ✅: Whether the review was approved by Booking

Helpful Votes 👍: Number of users who found the review helpful

Translatable 🌐: Indicates if the review can be translated

Review Title 📝: Title of the review (if available)

Positive Text 😊: What the guest liked

Negative Text 😐: What the guest didn’t like

Language 🌍: Language the review was written in

Username 👤: Name or alias of the reviewer

Anonymous 🔒: Whether the review is anonymous

Guest Type 🛏️: Type of traveler (e.g., Couple, Solo, Family)

Country 🌎: Country of the reviewer

Country Code 🇺🇸: ISO country code

Avatar URL 🖼️: Link to user avatar image

Check-in Date 📥: Date of check-in

Check-out Date 📤: Date of check-out

Nights Stayed 🌙: Duration of the stay in nights

Stay Status ✅: Whether the reviewer actually stayed

Customer Type 💼: Customer category (e.g., COUPLES, BUSINESS)

Room ID 🛌: Internal room identifier

Room Type 🏠: Description of the room booked

Photo URLs 📸: URLs of photos included in the review (if any)

🚀 How to Use the Booking Reviews Scraper

1. Input Parameters: Provide the Booking.com hotel review URL (you can use filters like language, review type, etc.).

2. Start Scraping: Click “Start” to begin extraction. The scraper will navigate through the review pages and collect all available review data.

3. Download the Results: Once the run is finished, download your data in JSON, CSV, Excel, or HTML table formats.

💡 Use Cases

• Hotel Reputation Analysis 🧾: Analyze guest satisfaction and detect recurring issues

• Market Research 🔍: Compare multiple properties to understand traveler preferences

• Sentiment Analysis 💬: Train AI models to detect positive or negative opinions

• Customer Experience Optimization 🤝: Improve hospitality services based on real feedback

💸 Pricing

This scraper operates on a subscription basis at a cost of $19.49/month.

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🔑 Input Example 🔧

To run the Booking Reviews Scraper, provide:

{
  "url": "https://www.booking.com/hotel/xx/reviews.html",
  "maxReviews": 200
}

🔧 Output Example

[
  {
    "review_url": "512008318365000a",
    "review_score": 8.0,
    "review_date": 1747189334,
    "is_approved": true,
    "helpful_votes": 0,
    "is_translatable": false,
    "title": "N/A",
    "positive_text": "Cozy and clean...",
    "negative_text": "It's indeed cozy...",
    "language": "xu",
    "username": "Andrew",
    "anonymous": false,
    "guest_type": "Couple",
    "country_name": "United States",
    "country_code": "us",
    "avatar_url": "https://xx.bstatic.com/static/img/review/avatars/ava-a.png",
    "checkin_date": "2025-04-04",
    "checkout_date": "2025-04-05",
    "num_nights": 1,
    "stay_status": "stayed",
    "customer_type": "COUPLES",
    "room_id": 1238106004,
    "room_type": "Double Room with Private Bathroom",
    "photo_urls": []
  }
]

📫 Support

🌟 Leave us a five star if you are satisfied with the product! 🌍 For any questions, specific needs, or issues, please reach out through Apify's platform or via email Storm_Scraper 🌪️🌩️