Capterra Review Scraper

Capterra Review Scraper

Capterra Review Scraper extracts software reviews from Capterra — full ratings breakdown, pros and cons, reviewer profile, and incentive disclosure — from any product or reviews URL.

Pull overall, ease-of-use, customer-service, features, value-for-money, and likelihood-to-recommend ratings, plus pros, cons, and validated reviewer details, from any Capterra product.

Copy to your AI assistant

Use the Apify actor "parsebird/capterra-review-scraper" via the ApifyClient to scrape Capterra software reviews. Example: client.actor("parsebird/capterra-review-scraper").call(run_input={"url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/", "results_wanted": 50, "max_pages": 4}). Inputs: url (string, required — a Capterra product page or reviews page, optionally with ?page=N to start from a later page), results_wanted (integer, default 20, max reviews to collect), max_pages (integer, default 3, max review pages to fetch — each page holds up to 25 reviews), proxyConfiguration (object, defaults to Apify's Unblocker proxy group, required — Capterra's Cloudflare protection blocks Datacenter and Residential proxies). Output fields per review include review_id, product_name, review_title, review_date, overall_rating, ease_of_use_rating, customer_service_rating, features_rating, value_for_money_rating, likelihood_to_recommend_rating, reviewer_name, reviewer_title, reviewer_industry, reviewer_company_size, reviewer_time_used, reviewer_validated, reviewer_validations, pros, cons, general_comments, advice_to_others, chosen_reasons, switching_reasons, incentive, source_site, review_source_code, review_source, product_url, page, and total_reviews. Full API spec: https://apify.com/parsebird/capterra-review-scraper/api. Get an API token at https://console.apify.com/settings/integrations.

What does Capterra Review Scraper do?

Capterra Review Scraper is a review-extraction tool for Capterra, the software review and comparison platform used by buyers researching business software. Give it a product page or reviews page, and it returns every review Capterra shows — full rating breakdown, pros, cons, reviewer profile, and incentive disclosure — ready for a spreadsheet, sentiment model, or competitive analysis.

• 📝 Full ratings breakdown: overall, ease of use, customer service, features, value for money, and likelihood to recommend
• 👤 Reviewer profile: name, job title, industry, company size, time used, and profile photo
• ✅ Validation status and validation methods (LinkedIn, business email, proof of link)
• 💬 Pros, cons, general comments, advice to others, and reasons for choosing/switching
• 🎁 Incentive disclosure — know whether a review was incentivized or organic
• 🔁 Automatic pagination, or start from a specific page with ?page=N
• ⚙️ Runs on Apify's infrastructure with scheduling, API access, and integrations

Input parameters

Parameter	Type	Required	Default	Description
url	string	Yes	—	A Capterra product or reviews URL.
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 holds up to 25 reviews.
proxyConfiguration	object	No	Unblocker (US)	Proxy settings. Capterra's Cloudflare protection blocks Datacenter and Residential proxies — Unblocker is required.

Basic extraction

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

Larger collection

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

Start from a later page

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

What data can you extract from Capterra?

Field	Description
review_id, product_name, review_title, review_date	Review identifiers and metadata
overall_rating, ease_of_use_rating, customer_service_rating, features_rating, value_for_money_rating, likelihood_to_recommend_rating	Full rating breakdown
reviewer_name, reviewer_title, reviewer_industry, reviewer_company_size, reviewer_time_used, reviewer_profile_image	Reviewer profile
reviewer_validated, reviewer_validations	Validation status and methods
pros, cons, general_comments, advice_to_others, chosen_reasons, switching_reasons	Review content
incentive, source_site, review_source_code, review_source	Incentive and source disclosure
product_url, page, total_reviews	Metadata for auditing and pagination

Output example

{
  "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...",
  "incentive": "NoIncentive",
  "source_site": "Capterra",
  "product_url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
  "page": 1,
  "total_reviews": 8483
}

Download results as JSON, CSV, Excel, HTML, or XML from the Apify Console, or pull them programmatically through the Apify API.

How to scrape Capterra reviews

1. Open Capterra Review Scraper on the Apify Store and click Try for free.
2. Paste a Capterra product or reviews URL into the URL field.
3. Set Max reviews and Max pages.
4. Click Start and wait for the run to finish.
5. Open the Dataset tab to view, filter, and export the scraped reviews.

How it works

1. The Actor normalizes the input URL to its reviews page, respecting any ?page=N already in the URL as the starting page.
2. A real browser session (routed through Apify's Unblocker proxy) loads each review page and reads the review data Capterra embeds in the page.
3. Pages are fetched one after another until max_pages or results_wanted is reached, or a page comes back with fewer than a full page of reviews.
4. Every review is written as one dataset row as soon as it's collected.

How much does it cost to scrape Capterra?

Capterra Review Scraper uses pay-per-event pricing — you're charged only for reviews actually saved to your dataset.

Plan	Price per review	Price per 1,000
Free	$0.00089	$0.89
Bronze	$0.00079	$0.79
Silver	$0.00069	$0.69
Gold	$0.00059	$0.59

Collecting 1,000 reviews on the Free plan costs about $0.89. Apify's monthly platform usage credits apply to this Actor like any other.

Using the API

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("parsebird/capterra-review-scraper").call(run_input={
    "url": "https://www.capterra.com/p/190778/QuickBooks-Online/reviews/",
    "results_wanted": 100,
    "max_pages": 5,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["reviewer_name"], item["overall_rating"], item["review_title"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('parsebird/capterra-review-scraper').call({
    url: 'https://www.capterra.com/p/190778/QuickBooks-Online/reviews/',
    results_wanted: 100,
    max_pages: 5,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Schedule recurring runs to track new reviews week over week, or connect it to Zapier/Make through Apify's integrations.

Is it legal to scrape Capterra?

Scraping publicly available data — like reviews shown on a public Capterra product page — is generally considered legal, and courts have repeatedly upheld this for public web pages. This Actor only collects review data Capterra already displays to any visitor; it never accesses private reviewer accounts. You are responsible for how you use the collected data and for complying with Capterra's terms of service and applicable law in your jurisdiction. See Apify's blog post on the legality of web scraping for more detail.

FAQ

Why does the Actor need Unblocker proxies specifically? Capterra is protected by Cloudflare. Datacenter and Residential proxies get stuck on the Cloudflare challenge page — Unblocker is the only proxy group that reliably gets through, so it's the required default.

What's the difference between a product URL and a reviews URL? Both work as input — a product URL (.../p/<id>/<slug>/) is automatically normalized to its reviews page (.../p/<id>/<slug>/reviews/) before scraping.

How many reviews are on each page? Up to 25. If a page comes back with fewer, the Actor treats it as the last page and stops.

Can I start from a specific page instead of page 1? Yes. Add ?page=N to the URL you provide and the Actor starts from that page.

Why might a review field be empty? Not every reviewer fills in every field — chosen_reasons, switching_reasons, and advice_to_others are optional on Capterra's own review form, so they're often blank.

Can I schedule recurring runs? Yes. Use Apify's Scheduler to run this Actor daily, weekly, or at any interval.

Does this Actor have an API? Yes — every Apify Actor is automatically available as an API. See the API tab for the full spec, or use the Python/JavaScript examples above.

Something not working? Report it on the Actor's Issues tab in Apify Console — Capterra occasionally changes its site, and prompt reports help keep this Actor maintained.