Capterra Review Scraper ⭐

What does Capterra Review Scraper do?

Capterra Review Scraper extracts verified Capterra software reviews for product research, competitor tracking, and customer sentiment analysis. It collects review titles, ratings, reviewer profiles, pros, cons, dates, and product-level review counts from public Capterra product pages.

Provide a Capterra URL and the Actor returns individual reviews with ratings, reviewer details, and qualitative feedback. Product profile URLs are converted to reviews pages automatically, and pagination runs until your requested result count is reached.

Why use Capterra Review Scraper?

• Structured review datasets - Collect Capterra reviews without manual copying. Each review is returned as a consistent record with ratings, reviewer profile, and text fields separated.
• Automation-ready output - Export results to JSON, CSV, Excel, or XML. Connect datasets to analysis tools, dashboards, or downstream systems.
• Use-case fit - Support competitor research by comparing what buyers say across products. Build sentiment analysis datasets using separated pros and cons fields. Prepare sales battlecards using reviewer role, industry, and company size data. Monitor product feedback on a schedule to catch new reviews as they appear.

What data can you extract from Capterra?

Field	Description
review_title	Review headline
overall_rating	Overall star rating
review_date	Published review date
pros	Positive review text
cons	Negative review text
reviewer_name	Reviewer display name
reviewer_industry	Reviewer industry
reviewer_company_size	Reviewer company size
product_name	Reviewed software product name

Additional data includes ease of use, customer service, features, and value for money sub-ratings, likelihood to recommend score, reviewer job title and time used, validation status, general comments, advice to other buyers, incentive disclosure, and total review count.

How to use Capterra Review Scraper

1. Open the Actor on Apify Store.
2. Enter a Capterra product or reviews URL.
3. Set the number of reviews you want and optional page limit.
4. Run the Actor.
5. Download the dataset or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	Yes	-	Capterra product or reviews URL to collect data from
results_wanted	Integer	No	20	Maximum number of reviews to collect
max_pages	Integer	No	3	Maximum number of review pages to fetch (each page usually contains up to 25 reviews)
proxyConfiguration	Object	No	Residential proxy	Proxy configuration for reliable collection

Output Data

Each dataset item can contain the following fields:

Field	Type	Description
review_id	String	Capterra review identifier
product_name	String	Reviewed software product name
review_title	String	Review headline
review_date	String	Published review date
overall_rating	Number	Overall star rating
ease_of_use_rating	Number	Ease of use score
customer_service_rating	Number	Customer service score
features_rating	Number	Features score
value_for_money_rating	Number	Value for money score
likelihood_to_recommend_rating	Number	Recommendation score
reviewer_name	String	Reviewer display name
reviewer_title	String	Reviewer job title or role
reviewer_industry	String	Reviewer industry
reviewer_company_size	String	Reviewer company size
reviewer_time_used	String	How long the reviewer used the product
reviewer_profile_image	String	Reviewer profile image URL
reviewer_validated	Boolean	Whether the reviewer has been validated
reviewer_validations	Array	Validation methods (LinkedIn, BusinessEmail, ProofOfLink)
pros	String	Positive review text
cons	String	Negative review text
general_comments	String	General review comments
advice_to_others	String	Reviewer advice to other buyers
chosen_reasons	String	Reasons the reviewer chose the product
switching_reasons	String	Reasons the reviewer switched to the product
incentive	String	Incentive disclosure code
source_site	String	Source review site
review_source_code	String	Review source code
review_source	String	Review source disclosure text
product_url	String	Source Capterra reviews URL
page	Integer	Review page number
total_reviews	Integer	Total review count shown for the product

Usage Examples

Basic Extraction

Collect 20 reviews from a product page:

{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/",
    "results_wanted": 20
}

Larger Collection

Collect more reviews across additional pages:

{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
    "results_wanted": 50,
    "max_pages": 4
}

Start From a Later Page

Begin collection from a specific Capterra reviews page:

{
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/?page=2",
    "results_wanted": 25,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Sample Output

{
    "review_id": "Capterra___7174523",
    "product_name": "QuickBooks Online",
    "review_title": "Reliable Accounting Software That Saves Time and Simplifies Financial Management",
    "review_date": "June 24, 2026",
    "overall_rating": 4,
    "ease_of_use_rating": 5,
    "customer_service_rating": 2,
    "features_rating": 3,
    "value_for_money_rating": 4,
    "likelihood_to_recommend_rating": 7,
    "reviewer_name": "Jeff H.",
    "reviewer_title": "Front office manager",
    "reviewer_industry": "Medical Practice",
    "reviewer_company_size": "11 - 50 employees",
    "reviewer_time_used": "More than 2 years",
    "reviewer_validated": true,
    "reviewer_validations": ["ProofOfLink"],
    "pros": "I feel like QuickBooks provides good value for what you pay...",
    "cons": "Customer support has been helpful whenever I've needed assistance...",
    "general_comments": "Overall, my experience with QuickBooks has been very positive...",
    "incentive": "NoIncentive",
    "source_site": "Capterra",
    "review_source_code": "NO",
    "review_source": "No Incentive Offered: This review was submitted organically.",
    "product_url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
    "page": 1,
    "total_reviews": 8483
}

Tips for Best Results

• Use complete, public URLs from Capterra. Both product URLs (/p/190778/QuickBooks-Online/) and reviews URLs (/p/190778/QuickBooks-Online/reviews/) work.
• Start with a small results_wanted value for test runs. Increase max_pages when collecting larger datasets.
• Check the dataset preview before scheduling larger runs to verify the data meets your needs.
• Residential proxies are recommended for consistent production runs.

Integrations

• Google Sheets - Export review data to spreadsheets for filtering and analysis.
• Airtable - Build a searchable review database with linked records.
• Webhooks - Send new reviews to downstream systems after each run.
• Make or Zapier - Connect results to no-code automations and alerts.
• API - Access datasets programmatically from your own applications.

Export Formats

• JSON - For developers and analysis tools.
• CSV - For spreadsheets.
• Excel - For reporting.
• XML - For system imports.

Frequently Asked Questions

Can I use either a product URL or a reviews URL?

Yes. The Actor accepts both Capterra product page URLs and direct reviews page URLs. Product URLs are converted to the reviews page automatically.

How many reviews are collected per page?

Capterra review pages usually show up to 25 reviews per page. The max_pages parameter controls how many pages are fetched.

Why are some fields missing?

Some reviews do not include every rating, profile detail, or source field. Empty values are removed from the dataset automatically.

Can I start from page 2 or later?

Yes. Add a page query parameter to the Capterra reviews URL, such as ?page=2, to begin from a later page.

Should I use a proxy?

Residential proxies are recommended for consistent production runs. The Actor uses them by default when running on the Apify platform.

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats from the Apify Console.

Can I run this Actor on a schedule?

Yes. You can schedule the Actor in Apify Console to refresh data hourly, daily, weekly, or at another interval.

Is this Actor suitable for non-technical users?

Yes. The Actor can be run from Apify Console with form-based inputs, and the output can be downloaded without writing code.

Is it legal to scrape Capterra?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, website terms, and privacy rules. This Actor collects only publicly available information that anyone can view in a browser.

Related Actors

• Hostelworld Reviews Scraper - Extract guest reviews and ratings from Hostelworld property pages.
• Myntra Reviews Scraper - Collect customer reviews and ratings from Myntra product pages.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify Console.

Legal Notice

This Actor is designed for legitimate data collection from publicly available Capterra pages. Users are responsible for using the data responsibly and complying with applicable laws and website terms of service.