Airbnb Reviews Scraper — Airbnb | Lagic

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Overview

Extract complete guest and host reviews from Airbnb listings, including star ratings, localized text, reviewer and reviewee profiles, and the date each review was posted, to understand sentiment and improve listing performance.

When managing a property, analyzing competitor listings, or conducting market research on the short-term rental industry, understanding guest feedback is paramount. This tool allows you to gather comprehensive review data directly from Airbnb room URLs. It captures not just the overall star rating, but the full text of each review, localized date information, and even details about both the guest who left the review and the host who received it. ### What You Get For each review associated with the provided Airbnb room URLs, you'll receive structured data that includes: * **Review Content:** The full text of the review, as well as a localized version, capturing the nuance of guest feedback. * **Star Rating:** The numerical rating given by the guest. * **Reviewer Details:** Information about the guest who posted the review, including their first name, a link to their profile, and their profile picture URL. This helps you understand who is leaving feedback. * **Reviewee Details:** Details about the host of the listing, including their name, profile link, and picture, giving context to whose property is being reviewed. * **Timestamps:** The exact date the review was created and a localized date string, allowing for trend analysis over time. * **Host Responses:** If a host has responded to a review, that response text is also captured, providing a complete conversation thread. * **Highlights:** Any specific highlights Airbnb might add to a review (e.g., 'Cleanliness' or 'Communication'). ### How It Helps You This granular review data is invaluable for several purposes. Property managers can pinpoint common praise and recurring issues across their own listings or a portfolio of properties. Competitor analysis becomes more insightful as you can see exactly what guests love or dislike about other rentals in your market. Researchers can perform sentiment analysis on large datasets of reviews to identify broader industry trends or regional preferences. By providing the option to specify a locale, the tool ensures that reviews are extracted in the relevant language and region, making the data directly applicable to your target audience.