How to Scrape and Analyze Airbnb Reviews
7 mins read - Updated on Apr 13, 2026Airbnb reviews capture the full context of a guest’s stay, combining feedback on the property, the host, and the overall experience into a single narrative. Instead of focusing only on specific features, these reviews often reflect how expectations align with reality across different stages of the stay.
When analyzed collectively, these reviews reveal recurring patterns in guest satisfaction, common friction points, and the factors that shape overall experience across different listings and hosts.
With Kimola, you can collect and analyze Airbnb reviews through a structured workflow. By gathering reviews from listing pages and organizing them into datasets, the platform helps transform experience-driven feedback into actionable insights.
Create a free account or sign in to your existing Kimola account.
Manually Scrape Airbnb Reviews
Manual scraping allows you to collect Airbnb reviews directly while browsing listing pages using Kimola’s browser extension. To support this workflow, Kimola provides its browser extension, Airset Generator, which captures reviews across supported platforms and stores them as datasets in your Kimola account.
Before you begin, make sure Airset Generator is installed and properly set up on your browser. You should also be logged in to your Kimola account and have your API Key connected. If the setup is not complete, follow the Set up the Airset Browser Extension guide before continuing.
Airsets allow you to store scraped reviews before analysis. This makes them especially useful when working on larger research projects or when collecting feedback across multiple listings, locations, or stay types over time. Instead of analyzing everything immediately, you can first gather and organize your data, then decide later which dataset to analyze by creating a report.
Unlike automatic scraping, collecting data through Airset Generator does not consume queries from your plan. This means that even users on the free plan can collect Airbnb reviews without query-based limitations.
Step 1: Open the Airbnb Listing Page
Go to airbnb.com and navigate to the listing you want to analyze. Scroll down to the reviews section and open the full list of reviews if available.
Since the extension collects only the reviews that are currently visible in your browser, make sure to load as many reviews as possible before starting the scraping process.
You can pin the browser extension next to your address bar for quick access while browsing listing pages.
Step 2: Start Scraping Airbnb Reviews
Once you are on the Airbnb listing page, click the browser extension icon in your toolbar. The extension detects available reviews and prepares them for collection.
Click the Generate button to start capturing the reviews currently visible on the page. During the scraping process, the extension may scroll or load additional reviews to collect more data.
To avoid interruptions, keep the browser tab active and do not close or refresh the page until the process is complete.
Step 3: Complete the Scraping
During scraping, the browser extension continues collecting reviews by loading additional entries where available. This allows it to capture a larger portion of the available feedback without requiring manual navigation.
If needed, you can stop the process at any time using the controls in the extension. Otherwise, the collection will continue until all accessible reviews have been captured.
Once the process is complete — whether stopped manually or finished automatically — a dataset is created and saved in your Kimola account. You can access it from the extension or through the dashboard to review, manage, or analyze the data.
The amount of data collected depends on what is visible and accessible on the Airbnb page. Loading more reviews will help increase the size of your dataset.
Step 4: Create a Report from the Dataset
To analyze the collected reviews, open the Kimola dashboard and navigate to the Datasets section. From there, select Airsets to view the complete list of available datasets. Select your dataset and click Create Report.
Choose the column that contains the main review text and optionally include additional fields such as date or URL. These selections define how your dataset will be structured for analysis.
Analyze Airbnb Reviews
Once your dataset is ready, Airbnb reviews can be systematically analyzed to identify recurring themes, sentiment patterns, experience-related pain points, and underlying guest expectations.
Because Airbnb feedback reflects complete stay experiences, analyzing reviews at scale helps uncover patterns related to host communication, cleanliness, location accuracy, and overall satisfaction.
Kimola transforms this unstructured feedback into structured insights that support experience optimization, listing improvement, and strategic decision-making.
Choose Dimensions
To deepen your analysis, you can apply additional dimensions that organize Airbnb reviews into more meaningful layers. These dimensions help structure feedback beyond basic themes, making it easier to understand how different aspects of the stay influence overall experience.
During report creation, you will be guided to the Dimensions step. From this screen, you can browse and select dimension types that align with your research goals. As you make selections, they are added to the My List panel, where you can review, adjust, or remove them before continuing.
Once applied, these dimensions structure the dataset within the report, allowing you to explore relationships between feedback, context, and guest experience.
Dimensions do not consume queries from your plan. Instead, they use GPT Credits, which are available as an add-on. These credits do not expire and can be purchased at any time as needed.
The free plan includes 5 GPT Credits, which are automatically provided when you create your account.
Review Report Settings
After completing the Dimensions step, you will be taken to the Review screen — the final stage before starting the analysis.
This screen brings together all your report settings in one place, allowing you to review and finalize your configuration before running the analysis. At this stage, you can define the Report Title, confirm the Source, select the Report Language, and review the overall setup of your dataset.
The Required Query section provides a detailed breakdown of how your queries will be used across different steps, such as data processing, sentiment analysis, and selected dimensions. This helps you clearly understand how your configuration impacts resource usage before running the report.
If any adjustments are needed, you can return to previous steps and update your selections. This ensures that the report is aligned with your research objectives before execution. Once everything is set, you can proceed and generate the report.
Create the Report
Once your setup is complete, click Create Report to start the analysis. Kimola processes the collected Airbnb reviews, applies the selected analyses, and generates your report automatically.
When the report is ready, it appears in the Reports section. From there, you can explore the results, organize reports under Projects, or export the outputs.
Reports can be exported as Excel files for deeper analysis, PowerPoint or PDF for presentations, or shared via email for distribution.
Conclusion
Airbnb reviews reflect complete guest experiences, combining expectations, real-world conditions, and post-stay evaluations into a single source of feedback.
By collecting and analyzing this data through a structured workflow, you can move beyond individual reviews and identify the patterns that shape guest satisfaction, expectations, and experience quality.
As with any platform-based data, all collection and analysis should be conducted responsibly and in accordance with platform policies and applicable regulations.
