Capterra Software Scraper

Extract comprehensive software product data from Capterra.com — the world's largest software directory. Get 39 fields per product including pricing plans, 100+ features, 3000+ integrations, pros/cons, vendor info, and more.

How It Works

Capterra is protected by aggressive Cloudflare Turnstile and blocks direct scraping. But Capterra, GetApp, and SoftwareAdvice are all owned by Gartner Digital Markets (GDM) and share a single product catalog. This scraper takes advantage of that:

1. Google SERP — resolves the Capterra product URL to the equivalent GetApp URL
2. GetApp direct fetch — GetApp exposes the full GDM catalog via __NEXT_DATA__ (~500KB of structured JSON per product)
3. Rich extraction — parses 39 fields: name, tagline, pricing plans, features, integrations, platforms, support, training, pros/cons, vendor, and more

Result: you get the same rich Capterra data without touching Capterra — free, reliable, and faster than fighting anti-bot systems.

Features

• 39 output fields per product — the most complete Capterra data available
• Pricing plans with starting prices and feature lists
• 101+ features list + total count
• 3000+ integrations list + total count
• Pros/cons with sentiment topics and summaries
• Vendor info — name, location, website, founded year
• Platforms, support options, training options, typical customers
• Screenshots URLs
• 100% reliable — no Cloudflare challenges to solve
• No nulls — every field has a typed default

Input

Field	Type	Description
productUrls	Array	Capterra product URLs (e.g., https://www.capterra.com/p/135003/Slack/)
maxItems	Integer	Max products to scrape (default 20)

Example Input

{
    "productUrls": [
        "https://www.capterra.com/p/135003/Slack/",
        "https://www.capterra.com/p/228385/Notion/"
    ],
    "maxItems": 10
}

Output

Each product has 39 fields:

Identity

Field	Type	Description
productId	String	Capterra numeric product ID
slug	String	Product slug
name	String	Product name
url	String	Capterra product URL
reviewsUrl	String	Capterra reviews page URL
tagline	String	Product tagline
description	String	Short description
overview	String	Longer product overview
logo	String	Product logo URL

Ratings

Field	Type	Description
rating	Number	Overall rating (0–5)
reviewCount	Integer	Total number of reviews

Pricing

Field	Type	Description
startingPrice	String	Starting price with currency & period (e.g., $8.75 / month)
pricingModel	String	Pricing model (e.g., Per User, Flat Rate)
priceCurrency	String	Currency code
pricePeriodicity	String	Billing period
freeTrial	Boolean	Free trial available
freeVersion	Boolean	Free version available
pricingPlans	Array	Pricing plans with name, price, attributes
licensingModel	String	Licensing model (e.g., Proprietary)

Categories & Features

Field	Type	Description
categories	Array	Software categories
primaryCategory	String	Primary category
features	Array	Up to 50 feature names
featureCount	Integer	Total feature count
integrationsCount	Integer	Total integrations count
integrations	Array	Up to 20 integration names
platforms	Array	Supported platforms
supportOptions	Array	Customer support options
trainingOptions	Array	Training options
typicalCustomers	Array	Target customer sizes

Pros / Cons / Visuals

Field	Type	Description
pros	Array	Positive sentiment topics with summary
cons	Array	Negative sentiment topics with summary
screenshots	Array	Screenshot image URLs

Vendor

Field	Type	Description
vendorName	String	Vendor company name
vendorCity	String	Vendor city
vendorState	String	Vendor state
vendorCountry	String	Vendor country
vendorWebsite	String	Vendor website URL
vendorFoundedYear	Integer	Vendor founding year

| scrapedAt | String | ISO 8601 scrape timestamp |

Example Output

{
    "productId": "135003",
    "slug": "Slack",
    "name": "Slack",
    "url": "https://www.capterra.com/p/135003/Slack/",
    "reviewsUrl": "https://www.capterra.com/p/135003/reviews",
    "tagline": "A single place for team communication and workflows",
    "description": "Slack is a single workspace that connects users with the people and tools they work with...",
    "logo": "https://gdm-catalog-fmapi-prod.imgix.net/ProductLogo/...",
    "rating": 4.66,
    "reviewCount": 24046,
    "startingPrice": "$8.75 / month",
    "pricingModel": "Per User",
    "freeTrial": true,
    "freeVersion": true,
    "pricingPlans": [
        {"name": "Free", "attributes": ["1 workspace", "10 Integrations"]},
        {"name": "Pro", "attributes": ["Unlimited message history", "..."]}
    ],
    "licensingModel": "Proprietary",
    "primaryCategory": "Team Communication",
    "categories": ["Unified Communications", "Content Collaboration", "..."],
    "featureCount": 101,
    "integrationsCount": 3180,
    "platforms": ["Web-based", "iPad", "Mac"],
    "typicalCustomers": ["Small Business", "Mid-size Business", "Large Enterprises"],
    "vendorName": "Slack",
    "vendorCountry": "United States",
    "vendorFoundedYear": 2014,
    "scrapedAt": "2026-04-10T12:00:00+00:00"
}

FAQ

Q: Why doesn't the scraper fetch Capterra directly? Capterra is protected by Cloudflare Turnstile, which blocks all datacenter and most residential IPs. We instead fetch the same product data from GetApp (a sister site in the GDM catalog), which exposes everything via its __NEXT_DATA__ JSON.

Q: How accurate is the GetApp data compared to Capterra? 100% accurate — Capterra, GetApp, and SoftwareAdvice all query the same Gartner Digital Markets (GDM) catalog. The underlying product, rating, review count, and feature data are identical across all three sites.

Q: Does this scraper collect individual user reviews? No — this scraper extracts product metadata + aggregated pros/cons sentiment topics. For individual review text, you'd need a separate scraper.

Q: How do I find Capterra product URLs? Go to capterra.com, search for a software product, and copy the URL from the product page. URLs follow the pattern https://www.capterra.com/p/{id}/{name}/.

Use Cases

• Competitive research — compare products across pricing, features, integrations
• Market analysis — track category trends, pricing models
• Feature-based product discovery — filter by platforms, integrations, support
• Vendor intelligence — identify software companies by location and size
• Due diligence — gather structured data for software selection