How to Scrape and Analyze Capterra Reviews

Capterra reviews provide structured feedback on software products, where users evaluate tools based on usability, features, pricing, and overall experience. Reviews often include detailed pros and cons, making them a valuable source for understanding how products are compared and selected in real-world scenarios.

With Kimola, you can collect and analyze Capterra reviews without any technical setup. By capturing reviews from product pages and organizing them into datasets, you can transform evaluation-driven feedback into actionable insights.

Capterra reviews are collected through manual scraping using Kimola’s browser extension. This tutorial walks you through the process 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 collect Capterra reviews, organize them into datasets, and generate reports based on your analysis.

Let’s walk through the process.

Manually Scrape Capterra Reviews

Manual scraping allows you to collect Capterra reviews directly while browsing product pages using Kimola’s browser extension. Instead of initiating the process within the platform, this approach lets you capture user feedback as you navigate through review pages and store it for later analysis.

To enable this workflow, Kimola provides its browser extension, Airset Generator, which detects available review content on supported platforms and saves it as an airset in your Kimola account.

Collected reviews are stored as airsets in your account, allowing you to build your data gradually. This is especially useful when gathering feedback across multiple products, categories, or competitors over time. Rather than analyzing data immediately, you can first compile and organize your dataset, then decide when to create a report and run the analysis.

Step 1: Open the Capterra Product Page

Go to capterra.com and search for the product you want to analyze. Once you are on the product page, scroll down to the reviews section.

To access the full set of reviews, click View All Reviews. This opens the dedicated reviews page, where all available feedback can be explored.

On Capterra, reviews are organized across multiple pages using a paginated structure. During scraping, Kimola’s Airset Generator can automatically navigate through these pages and collect reviews across the dataset, allowing you to capture a broader set of feedback without manually switching between pages.

Step 2: Start Scraping Capterra Reviews

Once you are on the Capterra reviews page, the browser extension icon in your toolbar displays a small badge indicating the number of reviews currently detected on the page. This icon is typically located in the top-right corner of your browser. If no badge is visible, make sure the reviews page is open and fully loaded.

Click the extension icon to open it. The product name is displayed for confirmation before data collection begins. Then, click the Generate button to start capturing the reviews currently visible on the page.

During the scraping process, the extension may scroll or navigate across multiple review pages 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 navigating through the paginated review pages and loading additional entries where available. This allows it to capture a larger portion of the dataset without requiring manual interaction.

If needed, you can stop the process at any time using the Continuing 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 displayed in the extension alongside your most recent datasets. If you are logged in to your Kimola account, you can open the dataset directly from the extension or access it from the dashboard to review, manage, or analyze the data by creating a report.

Analyze Capterra Reviews

Once your dataset is ready, Capterra reviews can be systematically analyzed to identify recurring themes, sentiment patterns, feature-level feedback, and underlying user expectations.

Because Capterra reviews are often structured around product usage, pros and cons, and comparisons, analyzing them at scale helps uncover patterns related to usability, performance, pricing perception, and decision-making drivers.

Kimola transforms this unstructured feedback into structured insights that support product development, competitive analysis, and go-to-market strategy.

Create a Report from the Airset

To analyze the collected Capterra reviews, open the Kimola dashboard and navigate to the Datasets section from the left-hand menu. From there, select Airsets to view the complete list of available datasets.

Locate the relevant dataset and click Create Report.

This action initiates Kimola’s standard report creation workflow. Select the column that contains the primary review text, and optionally include additional fields such as date or URL if they are available. These selections define how your dataset will be structured and processed during the analysis.

Choose Dimensions

In addition to standard classifications and aspect-based sentiment results, Kimola allows you to apply higher-level interpretations to your Capterra review analysis. This step enables more advanced analysis such as user personas, pain points, usage motivations, customer journeys, and other interpretive frameworks that help explain how software products are evaluated.

Dimensions do not consume queries from your plan. Instead, they use GPT Credits, which are available as an add-on. These credits do not renew monthly, do not expire, and can be purchased at any time as needed.

Review Report Settings

After completing the interpretation steps, you will be taken to the Review screen — the final step before running the analysis.

At this stage, you can review and finalize your report configuration before generating the output. You will be asked to enter a Report Title, since reports created from Airsets do not have an automatically generated name. The screen also displays the selected dataset as the Dataset, allows you to define the Report Output language, and shows the Required Query breakdown.

This breakdown provides visibility into how your queries will be used across analysis steps, helping you understand how dataset size and selected interpretations impact your plan usage. If needed, you can return to previous steps and adjust your selections before proceeding.

Create the Report

Click Create Report to start the process. Kimola processes the selected dataset, applies the configured analyses, and generates your report automatically.

Once the report is ready, it appears under the Reports section. From there, you can review the results, organize reports under a Project, or export the outputs for external use.

Reports can be exported in multiple formats depending on your workflow. You can download them as Excel files for deeper analysis, export them as PowerPoint or PDF for presentations, or share them via email for distribution.

Conclusion

Capterra reviews provide a structured view of how software products are evaluated across real-world use cases, combining feature-level feedback, expectations, and user experience into a single source.

By collecting and analyzing this data through a structured workflow, you can move beyond individual reviews and identify the patterns that shape user satisfaction, product perception, and decision-making.

As with any platform-based data, all collection and analysis should be conducted responsibly and in accordance with platform policies and applicable regulations.