Airbnb Reviews Spider

Introduction

The Airbnb Reviews Spider is a powerful Apify Actor designed to extract detailed reviews from Airbnb user profiles. It enables users to gather authentic customer feedback, ratings, and insights directly from the platform, making it an essential tool for market research, reputation analysis, and competitive intelligence. By automating the collection of review data, this Actor saves time and ensures comprehensive, up-to-date information for informed decision-making.

Features

• Comprehensive Review Extraction: Captures full review details including ratings, comments, timestamps, and user information from specified Airbnb profiles.
• Multi-Language Support: Handles reviews in various languages with automatic translations where available, ensuring global accessibility.
• Flexible Input Configuration: Accepts multiple URLs and customizable limits to tailor scraping to your needs.
• High-Reliability Data: Delivers structured JSON output with consistent formatting, minimizing data cleaning efforts.
• Efficient Performance: Optimized for speed and scalability, processing large volumes of reviews without compromising accuracy.
• User-Friendly Interface: Integrates seamlessly with Apify's platform for easy setup and monitoring.
• Privacy-Compliant: Adheres to web scraping best practices, respecting rate limits and avoiding intrusive data collection.

Input Parameters

Example Usage

To run the Airbnb Reviews Spider, configure the input parameters in the Apify console or via API. Below is an example input JSON:

{
  "Urls": [
    "https://www.airbnb.com/users/profile/1463374096068795239"
  ],
  "itemLimit": 10
}

The Actor will output a JSON array of objects, each containing the user ID, a list of reviews, and metadata. Here's a sample output:

[
  {
    "user_id": "1463374096068795239",
    "reviews": [
      {
        "createdAt": "2025-12-19T22:00:01.218Z",
        "comment": "Carlo was very friendly and professional...",
        "rating": 5,
        "reviewee": {
          "id": "Q29udGV4dHVhbFVzZXI6MTQ2MzM3NDA5NjA2ODc5NTIzOQ==",
          "name": "Carlo",
          "location": "Rome, Italy",
          "profilePicture": "https://a0.muscache.com/im/pictures/user/User/original/ef389124-1a27-419f-ac77-2a82919dff10.jpeg?aki_policy=profile_x_medium"
        },
        "reviewer": {
          "id": "Q29udGV4dHVhbFVzZXI6MTQ5NTk2OTkxNDE0MDQ3ODk4NQ==",
          "name": "Angie",
          "location": "Pontiac, MI",
          "profilePicture": "https://a0.muscache.com/im/pictures/user/4e4deae3-abf9-47fd-8c7d-06317b95ec5c.jpg?aki_policy=profile_x_medium"
        },
        "publicResponse": null,
        "translation": null,
        "respondedAt": null
      }
    ],
    "actor_id": "L06pXFgIZ8fWvhnJ8",
    "run_id": "4Xi8IEDTtDI9At22X"
  }
]

Use Cases

• Market Research: Analyze customer sentiments and trends for hospitality businesses or competitors.
• Reputation Management: Monitor and respond to reviews for hosts or service providers on Airbnb.
• Competitive Intelligence: Compare review patterns across similar profiles to identify strengths and weaknesses.
• Content Aggregation: Build datasets for sentiment analysis or machine learning models on travel experiences.
• Academic Research: Study user behavior and feedback in the sharing economy.
• Business Automation: Automate periodic reviews collection for dashboards or reporting tools.

Installation and Usage

1. Search for "Airbnb Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (URLs and optional item limit).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object represents a scraped user profile. Key fields include:

• user_id: The unique identifier of the Airbnb user.
• reviews: An array of review objects, each containing createdAt (timestamp), comment (text), rating (1-5 scale), reviewee (host details), reviewer (guest details), publicResponse (host reply if any), translation (if applicable), and respondedAt (response timestamp).
• actor_id and run_id: Metadata for tracking the Actor run.

This structured format ensures easy parsing and integration with data analysis tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!