How to Scrape and Analyze Google Play Reviews
11 mins read - Created on Mar 11, 2026Google Play reviews provide direct insight into how users experience mobile applications in real-world conditions. These reviews often reflect app performance, usability issues, feature expectations, update reactions, and stability problems across different devices and Android versions. Because feedback is frequently tied to specific releases, Google Play reviews are especially valuable for understanding how product changes affect user satisfaction over time.
Kimola allows you to easily collect and analyze Google Play reviews—no technical setup required. Whether you want to evaluate a single app or compare multiple applications within the same category, Kimola helps transform unstructured app reviews into structured insights that support product, UX, and growth decisions.
You need to be signed in to your Kimola account or create a free account if you don’t have one yet to create and analyze reports.
Kimola supports both automatic and manual methods for collecting Google Play reviews. This tutorial explains each approach step by step and shows how the collected data can be analyzed within Kimola. By the end of this guide, you will be able to choose the most suitable method for your use case and generate reports based on Google Play reviews.
Let’s start by collecting Google Play reviews.
Automatically Scrape Google Play Reviews
Automatic scraping allows you to analyze Google Play reviews by entering an app page link, without manually collecting reviews or preparing a dataset in advance.
When a Google Play app URL is added, Kimola detects the platform automatically, collects publicly available user reviews, and builds a dataset in the background. The selected analyses are then applied through Kimola’s standard report creation workflow. This method is well suited for quickly analyzing overall user sentiment or comparing multiple apps using a consistent setup.
Step 1: Get the Google Play App Link
Open the Google Play page of the app you want to analyze and copy the URL from your browser’s address bar. The link should point directly to the app page rather than a category listing or search results page.
You can analyze reviews from a single app to understand overall user feedback, or include multiple app links to compare user experience, feature satisfaction, or stability issues across different applications.
To view the full list of platforms that support auto-scraping, see Supported Platforms for Creating Reports from Links, which includes platform-specific details.
Step 2: Enter the Link into Kimola
On the Kimola dashboard home page, locate the Create your report area and paste the copied Google Play link into the input field. Select Start to continue.
If your analysis includes more than one app, you can select Add Multiple and enter each Google Play link on a separate line. After continuing, Kimola validates all submitted links to ensure that they are supported and accessible. Any issues are clearly shown so that incorrect links can be fixed or removed before proceeding.
Google Play reviews are influenced by the language parameter in the app page URL. If you want to analyze reviews in a specific language, use a Google Play link that includes the appropriate `hl` language parameter (for example, `hl=en` for English or `hl=tr` for Turkish).
Once validation is complete, all selected links are combined into a single dataset.
Step 3: Select the Report Size
Kimola then prompts you to define how many reviews will be collected and analyzed. Using the slider, you can specify the target dataset size for the report.
When multiple app links are included, the selected dataset size is distributed across all links. If one app contains fewer available reviews than required, the remaining quota is automatically filled using reviews from the other apps.
This ensures that the dataset size you selected is reached whenever sufficient data is available, while also helping you manage query usage effectively.
After the link or links are added and the dataset size is selected, continue with the common report creation steps described below.
Exploring Google Play Review Data
Google Play reviews often include short, direct feedback that reflects real usage conditions. Reviews may highlight app crashes, performance issues, feature requests, UI changes, or reactions to recent updates. Star ratings are frequently used alongside written feedback to express overall satisfaction or frustration.
When Google Play reviews are collected automatically, Kimola captures all available fields shown on the platform, such as review content, rating, date, and source URL. These fields can later be used to filter insights by rating level, analyze feedback related to specific dates, or track recurring issues across versions.
Manually Scrape Google Play Reviews
Manual scraping provides an alternative way to collect Google Play reviews when you prefer to gather data through direct interaction with the platform rather than starting from an app link inside Kimola.
This workflow uses Kimola’s browser extension, Airset Generator, to capture reviews while browsing Google Play app pages. Reviews collected through the extension are stored as Airsets in your Kimola account.
Before you begin, ensure that the Airset Generator browser extension is installed and set up, and that you are signed in to your Kimola account with your API Key connected. If the setup is not complete, follow the Set up the Airset Browser Extension guide.
Airsets allow you to collect reviews first and analyze them later. This approach is useful when reviews are gathered across multiple sessions, from different apps, or over longer periods of time. Instead of running the analysis immediately, you can organize collected reviews as Airsets and decide when to create a report.
Manual scraping through the Airset Generator does not consume queries from your plan. This allows reviews to be collected without query-based limits, including on the free plan.
Step 1: Open the Google Play App Page
Go to play.google.com and navigate to the app you want to analyze. Since Airset Generator collects only the reviews that are currently visible in your browser, first open the full review list for the product.
Scroll down to the User Rating and Reviews section and select See all reviews to load the reviews page.
You can pin the Airset Generator next to your browser’s address bar for quick access. While browsing, the extension automatically surfaces the number of available reviews on each page as a small badge.
Step 2: Start Scraping Google Play Reviews
Once you open the Google Play app reviews page, the Airset Generator icon in your browser toolbar displays a small badge indicating the number of reviews currently available on the page. The extension icon is typically located in the top-right corner of the browser. If the badge is not visible, make sure that you are on the correct app reviews page.
Select the Airset Generator icon to open the extension. The app name will appear for confirmation before data collection begins. Click Generate to start capturing the reviews currently visible on the page. To avoid interruptions, keep the browser tab active and do not close the browser until the scraping process is complete.
Step 3: Complete the Scraping
During scraping, the browser extension attempts to collect the maximum number of available reviews. If necessary, you can stop the process at any time by selecting the Stop button.
Whether the process stops manually or completes automatically, the collected data is saved as an Airset and displayed in the extension menu alongside your recent Airsets. If you are signed in to your Kimola account, you can open the Airset directly from the browser extension to review, manage, or analyze the data by creating a report.
The Airset Generator attempts to collect the maximum number of available customer reviews, but platform-specific limitations apply. For example, Google Play typically displays up to 1000 reviews per view.
Step 4: Create a Report from the Airset
To work with the customer feedback stored in an Airset, go to the Kimola dashboard and open Datasets from the menu on the left. Then select Airsets to access the list of all datasets available in your account.
Find the Airset you want to analyze and choose Create a Report.
This starts the report flow process in Kimola. During flow, select the column that contains the main review text. If your dataset includes additional fields such as date or URL, you can also include them in the configuration. These selections determine how the data will be organized and interpreted during the analysis.
Once the column selection is complete, follow the common report creation steps below to continue creating your report.
Analyze Google Play Reviews
Whether Google Play reviews are collected automatically or manually, they can be analyzed to identify recurring usability issues, sentiment patterns, feature expectations, and user frustrations related to performance or updates.
Kimola applies the same unified report creation workflow across all data collection methods. This ensures that analyses remain consistent regardless of how the reviews were gathered and allows you to focus on configuring the analysis to match your research or product objectives.
In addition to one-time analysis, you can automatically monitor Google Play reviews by creating a Feed, which provides regular reports and alerts.
Choose Interpretations
Beyond standard sentiment analysis and classifications, Kimola allows you to apply higher-level interpretations to Google Play reviews. These interpretations help uncover patterns such as usability pain points, feature adoption signals, update-related feedback, and user expectations over time.
Selected interpretations appear under My List, where they can be reviewed and adjusted before the report is created.
Interpretations do not consume queries from your plan. Instead, they use GPT Credits, which are available as an add-on. GPT Credits do not expire and can be purchased at any time.
New accounts receive a limited number of free GPT Credits when they are first created.
Review Report Settings
After completing the interpretation step, Kimola displays the Review screen as the final step before starting the analysis. This screen allows you to review key report settings and make any necessary adjustments.
When a report is created from a single Google Play link, the report title is generated automatically based on the source. If the report is created from multiple app links or from an Airset, the report title must be entered manually before continuing.
The Source / Dataset field shows whether the report is based on Google Play links or on an Airset. You can also choose the output language for analysis results such as sentiment labels, themes, summaries, and interpretation outputs.
The Required Query section shows how many queries will be used to generate the report and how usage is distributed across data collection and analysis steps. This preview helps you understand how dataset size and selected interpretations affect your plan usage before the report is created.
Create the Report
Select Create Report to start the process. Kimola collects the selected Google Play reviews, applies the configured analyses, and generates the report automatically.
Once the report is ready, it appears in the Reports section of the dashboard. From there, you can review the analysis results, organize the report under a Project, or export the outputs for further use.
Reports can be exported in formats such as Excel for deeper analysis, PowerPoint or PDF for presentations, and email for scheduled or on-demand sharing. This flexibility makes it easy to turn Google Play review insights into outputs that support product decisions and reporting workflows.
Conclusion
Google Play reviews reflect how users experience mobile applications in real usage scenarios, making them a valuable source of insight for product improvement and user experience optimization. Kimola provides flexible and transparent ways to collect and analyze these reviews through both automatic and manual workflows, allowing teams to adapt their approach based on scale, timing, and research goals.
All Google Play review data should be collected and analyzed strictly for internal research and decision-making purposes. Review content must not be redistributed, republished, or used in ways that violate Google Play policies or applicable copyright regulations. Users are responsible for ensuring compliance with all platform-specific terms.
If you’re new to Kimola, a good starting point is the Google Play Review Analyzer. This tool lets you quickly explore Google Play app reviews and understand how the analysis workflow works before moving on to more advanced use cases.
