Capterra reviews (It works)

Pricing

Rating

Developer

Actor stats

Categories

Share

Capterra Reviews Scraper

(scrapes reviews from any product on Capterra.com)

Examples: https://www.capterra.com/p/135003/Slack/ https://www.capterra.com/p/206059/Notion/

Don't worry the scraper automatically finds the reviews page from any product URL

Extract product reviews from Capterra.com to JSON or CSV. This scraper gathers comprehensive review data including detailed ratings, reviewer metadata, and extensive text fields.

What you get (most of the times and when is available)

• id - unique global review identifier (stripped to numeric)
• title - review summary/headline
• rating - overall star rating (1-5)
• date - review publication date (YYYY-MM-DD or relative)
• author - reviewer name (or "Verified Reviewer")
• jobTitle - reviewer job title
• industry - reviewer industry
• companySize - reviewer company size
• reviewSource - source of review (e.g., "Capterra", "GetApp")
• timeUsed - how long the user has used the software
• switchingReasons - reasons for switching from another product
• chosenReasons - reasons for choosing this product
• pros - "Pros" text
• cons - "Cons" text
• comments - "Overall Experience" or additional comments
• incentivized - whether the review was incentivized
• response - vendor response text
• reviewUrl - direct link to the specific review
• productUrl - Capterra product page URL
• supportRating - rating for customer support (1-5)
• easeRating - rating for ease of use (1-5)
• funcRating - rating for features/functionality (1-5)
• valueRating - rating for value for money (1-5)
• recommendRating - likelihood to recommend (0-10)

Inputs

Tip: The scraper handles pagination automatically. You don't need to do anything.

Sample output

{
"id":"7062782",
"title":"Easy and user friendly",
"rating":5,
"date":"December 15, 2025",
"author":"Kelly S.",
"jobTitle":"Director of Nursing",
"industry":"Medical Practice",
"companySize":"11-50 employees",
"reviewSource":"Capterra",
"timeUsed":"6-12 months",
"switchingReasons":"",
"chosenReasons":"",
"incentivized":"NominalGift",
"comments":"My overall experience is a positive one. Very easy to use and the help option is able to give you a true answer. It's a great system that allows for open communication with PTO requests and timecard changes with my employees.",
"pros":"Ease of use! Very user friendly and gives my employees the opportunity to make corrections and time adjustments on their own, which helps greatly when it's time to do payroll. I can also see any time card errors immediately and can make those adjustments throughout the week rather than at the end of the pay period.",
"cons":"The amount of emails my new hires get during onboarding. That is the only complaint that I have at this time.",
"response":"",
"supportRating":5,
"easeRating":5,
"funcRating":5,
"valueRating":5,
"recommendRating":10,
"reviewUrl":"https://www.capterra.com/p/172127/Rippling/#Capterra___7062782",
"productUrl":"https://www.capterra.com/p/172127/Rippling/"
}

Key features

• Works with any Capterra product that has reviews
• Extracts detailed reviewer metadata (job title, industry, company size, time used)
• Automatic pagination - strictly follows Capterra's pagination structure
• Smart Budget Protection - respects your Apify Max total charge limit (automatic stop)
• Residential proxy support - pre-configured for stability
• Granular Ratings - captures all specific sub-ratings (Support, Value, Features, etc.)
• Auto-retry - built-in Playwright retry logic for failed requests

Typical use cases

• Competitor analysis - analyze why users switch from/to competitors
• Market research - understand feature gaps and customer needs
• Lead generation - identifying companies using specific software stacks
• Sentiment analysis - extensive text fields (pros/cons/comments) for NLP

Quick start

1. Add one or more Capterra Product URLs (like https://www.capterra.com/p/135003/Slack/).
2. (Optional) Set Max Reviews if you want to limit the results. Leave blank to get everything.
3. Click Run.
4. Download your data in JSON, CSV, or Excel format.

FAQ

Can I scrape multiple products at once? Yes, add multiple URLs to Capterra product URLs.

How many reviews appear per page? Capterra typically shows 25 reviews per page.

Can I start from a specific page? Yes! just add ?page=X to the URL. For example: https://www.capterra.com/p/135003/Slack/reviews/?page=5

What if the scraper gets blocked? The actor uses legitimate browser fingerprinting and residential proxies to behave like a real user. If a block occurs, it will retry the request.

How can you contact me? southdionysus@gmail.com or open an issue on the Apify interface.

Ready? Paste a Capterra product URL and start building your reviews database!

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Capterra or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.