Capterra Review Scraper

Extract verified Capterra software reviews for product research, competitor tracking, and customer sentiment analysis. Collect review titles, ratings, reviewer profiles, pros, cons, dates, and product-level review counts from Capterra product pages.

Features

• Product review collection - Gather Capterra reviews from product URLs or direct reviews URLs.
• Automatic URL handling - Product profile URLs are converted to the matching reviews page.
• Pagination support - Collect multiple review pages until your requested result count is reached.
• Detailed ratings - Capture overall rating plus ease of use, support, features, value, and recommendation scores when available.
• Clean datasets - Empty fields are removed before records are saved.
• Stable request pattern - Uses Capterra's accepted review pagination shape for smooth runs.

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Use Cases

Competitor Research

Compare what buyers say about competing software products. Track recurring complaints, praised features, and reviewer industries to understand how products are positioned in the market.

Sentiment Analysis

Build review datasets for text analysis. Pros and cons fields are separated so you can classify positive and negative themes without manual cleanup.

Sales Enablement

Use review evidence to prepare battlecards and objection handling. Reviewer role, industry, company size, and time used help sales teams focus on buyer segments that match their pipeline.

Product Monitoring

Check new reviews regularly to spot changes in customer satisfaction. Sorting by most recent helps teams monitor fresh feedback and respond to emerging issues.

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Input Parameters

Parameter	Type	Required	Default	Description
url	String	Yes	-	Capterra product or reviews URL to scrape.
results_wanted	Integer	No	20	Maximum number of reviews to collect.
max_pages	Integer	No	3	Maximum number of review pages to fetch.
proxyConfiguration	Object	No	Residential proxy	Proxy settings for reliable collection.

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Output Data

Each dataset item can contain:

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 (NoIncentive, NominalGift).
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.

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Usage Examples

Basic Extraction

Collect 20 reviews from a product page:

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

More Reviews

Collect reviews across more pages:

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

Start From a Later Page

Begin 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"]
    }
}

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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
}

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Tips for Best Results

Use Product or Reviews URLs

• Product URLs such as /p/190778/QuickBooks-Online/ work.
• Reviews URLs such as /p/190778/QuickBooks-Online/reviews/ also work.

Start Small

• Use results_wanted of 20 for test runs.
• Increase max_pages when collecting larger datasets.

Work With Pagination

• Use max_pages to control how far the actor paginates.
• Add ?page=2 to the input URL if you want to start from a later page.

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Integrations

Connect your data with:

• Google Sheets - Review and filter records.
• Airtable - Build a searchable review database.
• Webhooks - Send new reviews to your own systems.
• Make - Run scheduled review workflows.
• Zapier - Trigger alerts and updates.

Export Formats

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

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Frequently Asked Questions

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

Yes. The actor accepts both Capterra product URLs and Capterra reviews URLs.

How many reviews are collected per page?

Capterra review pages usually show up to 25 reviews per page.

Why are some fields missing?

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

Can I start from page 2 or later?

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

Should I use a proxy?

Yes. Residential proxies are recommended for consistent production runs.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.