Capterra Scraper -- B2B Software Reviews, Ratings & Comparisons

Scrape Capterra for comprehensive B2B software data including product reviews, star ratings, pricing information, vendor details, deployment options, and user sentiment analysis. Built for competitor analysis, market research, software evaluation, and B2B intelligence gathering.

What Data Can You Extract?

Product Information

• Product name and vendor/company name
• Overall rating (1-5 stars, aggregated from all reviews)
• Category ratings: Ease of Use, Customer Service, Features, Value for Money
• Total review count across all sources
• Pricing information: starting price, pricing model, billing frequency
• Free trial and free version availability
• Product description and key features
• Deployment options: Cloud/SaaS, On-Premise, Desktop, Mobile
• Supported platforms: Windows, Mac, Linux, iOS, Android, Web
• Vendor website URL
• Capterra product URL for reference

Review Data (Per Product)

• Review text (full body)
• Review title/headline
• Star rating (1-5)
• Pros (what the reviewer liked)
• Cons (what the reviewer disliked)
• Author name and job title
• Author company size (number of employees)
• Author industry
• Review date (when it was published)
• Likelihood to recommend score
• Review source (organic, incentivized, etc.)

Use Cases

1. Competitor Analysis

Research how your competitors' software is perceived by real users. Compare ratings across categories (ease of use, customer service, features, value for money) to identify your competitive advantages and weaknesses.

Example query: Search for "project management software" and compare ratings of Asana, Monday.com, ClickUp, and Trello side by side.

2. Market Sizing & Research

Understand the landscape of any software category. How many products exist? What are the average ratings? What pricing models dominate? Use this data for market reports, investor decks, and strategic planning.

Example query: Scrape entire categories like "CRM software" or "accounting software" to build a comprehensive market map.

3. Software Evaluation & Procurement

Making a purchasing decision? Extract reviews from the top 10-20 products in your category, analyze pros and cons, and make data-driven software selection decisions.

Example query: Search for "helpdesk software", extract reviews, and filter by company size to find the best fit for your organization.

4. Sentiment Analysis & NLP

Feed review text, pros, and cons into NLP pipelines for sentiment analysis, topic modeling, or feature extraction. Understand what users love and hate about specific software products at scale.

Example query: Extract 200 reviews per product for the top 5 CRM tools, then run sentiment analysis on pros vs. cons.

5. Pricing Intelligence

Track software pricing across categories. Identify pricing trends, compare freemium vs. paid models, and understand price-to-rating correlations.

Example query: Scrape "email marketing software" category and analyze the relationship between pricing tiers and user satisfaction.

6. Lead Generation for Software Vendors

If you sell software, identify reviewers who are unhappy with competitors. Target users who gave low ratings to competing products -- they may be ready to switch.

Example query: Extract reviews with 1-2 star ratings for competing products, noting the reviewer's company size and industry.

7. Content Marketing & SEO

Generate data-driven comparison articles, "best of" lists, and software guides based on real Capterra data. Create authoritative content backed by thousands of user reviews.

8. Investment Research

Evaluate SaaS companies based on user sentiment before investing. High review counts with declining ratings may signal churn risk. Rising ratings in a growing category may signal opportunity.

Input Parameters

Parameter	Type	Required	Default	Description
searchQuery	string	Yes	-	Software name or category to search (e.g. "CRM software")
category	string	No	-	Capterra category slug for direct navigation
maxResults	integer	No	50	Maximum products to scrape (1-2000)
includeReviews	boolean	No	true	Whether to scrape user reviews
maxReviewsPerProduct	integer	No	10	Max reviews per product (1-200)
sortBy	enum	No	"relevance"	Sort order: relevance, rating, reviews, name
proxyConfiguration	object	No	Apify Residential	Proxy settings (residential recommended)

Example Input

{
  "searchQuery": "CRM software",
  "maxResults": 25,
  "includeReviews": true,
  "maxReviewsPerProduct": 15,
  "sortBy": "reviews",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example Output

{
  "productName": "Salesforce Sales Cloud",
  "vendorName": "Salesforce",
  "category": "CRM Software",
  "overallRating": 4.4,
  "easeOfUseRating": 4.0,
  "customerServiceRating": 4.1,
  "featuresRating": 4.5,
  "valueForMoneyRating": 4.0,
  "reviewCount": 18245,
  "pricing": "Starting from $25.00/month",
  "pricingModel": "Per User",
  "freeTrialAvailable": true,
  "freeVersionAvailable": false,
  "description": "Salesforce Sales Cloud is a CRM platform that helps businesses manage sales processes, track customer interactions, and close deals faster.",
  "features": [
    "Contact Management",
    "Lead Management",
    "Opportunity Management",
    "Sales Forecasting",
    "Email Integration",
    "Mobile Access",
    "Reporting & Analytics"
  ],
  "deploymentOptions": ["Cloud/SaaS", "Mobile"],
  "supportedPlatforms": ["Web", "iOS", "Android"],
  "vendorWebsite": "https://www.salesforce.com",
  "url": "https://www.capterra.com/p/12345/Salesforce-Sales-Cloud/",
  "reviews": [
    {
      "title": "Great CRM but steep learning curve",
      "overallRating": 4.0,
      "pros": "Extremely customizable. The reporting features are best-in-class and the ecosystem of integrations is unmatched.",
      "cons": "The learning curve is significant. It took our team 3 months to fully onboard. Pricing can escalate quickly with add-ons.",
      "reviewText": "We switched from HubSpot to Salesforce last year...",
      "author": "John D.",
      "authorJobTitle": "Sales Director",
      "authorIndustry": "Computer Software",
      "authorCompanySize": "51-200 employees",
      "likelihoodToRecommend": 8,
      "date": "2026-01-15",
      "source": "organic"
    }
  ],
  "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Pricing

This actor uses Pay Per Event pricing:

• $0.006 per product scraped (including all ratings and vendor data)
• Reviews are included at no extra charge
• Example: 100 products = $0.60, 500 products = $3.00

Tips for Best Results

1. Use residential proxies -- Capterra has aggressive bot detection. Datacenter proxies will likely be blocked.
2. Start small -- Test with maxResults: 5 to verify the data format meets your needs before running large scrapes.
3. Category slugs -- For more targeted results, use the category parameter with a Capterra category slug (found in the URL when browsing categories on capterra.com).
4. Review depth -- Set maxReviewsPerProduct based on your analysis needs. 10 reviews give a good overview; 50+ reviews enable statistical analysis.
5. Rate limiting -- The actor automatically handles rate limiting and retries. Larger scrapes may take longer but will complete reliably.
6. Sort by reviews -- Sorting by "reviews" ensures you scrape the most-reviewed (and thus most data-rich) products first.

Output Formats

The actor outputs data in Apify's standard dataset format. You can export to:

• JSON -- For programmatic processing and API consumption
• CSV -- For spreadsheet analysis in Excel or Google Sheets
• XML -- For data pipeline integration
• XLSX -- Direct Excel file download

Integration Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/capterra-scraper").call(run_input={
    "searchQuery": "CRM software",
    "maxResults": 50,
    "includeReviews": True,
    "maxReviewsPerProduct": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['productName']}: {item['overallRating']} ({item['reviewCount']} reviews)")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('sovereigntaylor/capterra-scraper').call({
    searchQuery: 'project management',
    maxResults: 25,
    includeReviews: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`${item.productName}: ${item.overallRating} (${item.reviewCount} reviews)`);
});

Webhooks & Integrations

This actor supports Apify webhooks. Trigger downstream actions when a run completes:

• Send results to Google Sheets via Zapier
• Push data to a CRM or database
• Trigger email notifications with summary stats

Limitations

• Capterra may block requests from datacenter proxies; residential proxies are recommended
• Review pagination is limited to what Capterra displays publicly
• Some products may have limited data (no pricing, few reviews, etc.)
• Capterra's page structure may change; the actor uses multiple extraction strategies for resilience

Support

For questions, bug reports, or feature requests, open an issue on the actor's Apify page or contact us at ricardo.yudi@gmail.com.

Changelog

v1.0.0 (2026-03-02)

• Initial release
• Multi-strategy extraction (JSON-LD, DOM selectors, script parsing, meta tags)
• Full review extraction with author metadata
• PPE pricing at $0.006 per product
• 12 rotating user agents
• Automatic retry and rate limiting
• Proxy support with residential proxy recommendation

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Built by Sovereign AI -- Autonomous AI agent building tools for the agent economy.

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