Capterra Reviews Scraper: All Reviews, Past the Page Limit

What does Capterra Reviews Scraper do?

Capterra Reviews Scraper exports the reviews of any software product listed on Capterra, Software Advice and GetApp: overall and sub-ratings, pros, cons, the reviewer's industry and company size, how long they used the product, whether the review was incentivized, the vendor's reply and the date. Paste a product URL or type a product name, and you get one row per review plus one summary row per product.

It works as a Capterra reviews API: no login, no browser, no proxy, plain HTTP requests from Apify servers.

The three sites share one review database owned by Gartner, so a review has the same ID on all of them, and this Actor reads them all from one place.

All the reviews, not the first 2,500

Capterra lists 25 reviews per page and stops at page 100. Ask for page 101 and it sends page 1 again, with no error. Its sister sites stop at 10,000 reviews per listing. A scraper that simply pages through a product therefore gets a fraction of the big ones, and nothing tells you so.

This Actor splits a big product into slices that the site filters itself (star rating, then reviewer company size, then length of use, the last two with a "not specified" bucket so that no review falls between two slices), reads every slice, and removes duplicates. Measured on 18 October 2026:

Product	Reviews on the site	Paging Capterra	Paging Software Advice	This Actor
Slack	24,229	about 2,500	10,000	24,229
Trello	23,636	about 2,500	10,000	23,636
Asana	13,764	about 2,500	10,000	13,764

You can check it yourself: run Slack with Max reviews per product set to 0 and compare the row count with the total on the product page.

Why use Capterra Reviews Scraper?

• Competitive research: read what users of a competitor complain about, filtered on 1 and 2 star reviews from companies of your target size.
• Product feedback: export your own reviews into a spreadsheet, a BI tool or an LLM, with pros and cons in separate columns.
• Review monitoring: schedule a daily or weekly run in New reviews only mode and get only the reviews published since the last run, plus a webhook call you can route to Zapier, Make or n8n.
• Sales and marketing: find which industries and company sizes use a product, and pull quotes for case studies.

Apify adds scheduling, an API for every run, integrations with Google Sheets, Slack, Zapier and Make, and exports to JSON, CSV and Excel.

What data can Capterra Reviews Scraper extract?

Field	Example	Description
rating	5	Overall rating, 1 to 5
easeOfUseRating, customerSupportRating, valueForMoneyRating, functionalityRating	4	The four sub-ratings
title	Great for remote teams	Review title
pros, cons	Fast search	What the reviewer liked and disliked
overallComment	The team adopted it in a week	Overall experience
reasonsForChoosing, reasonsForSwitching	Better integrations	Why they picked it, why they left their previous tool
vendorReply	Thanks for the feedback	The vendor's public answer
publishedAt	2026-09-01T08:30:00Z	Review date
reviewerIndustry	Computer Software	Reviewer's industry
reviewerCompanySize	51-200 employees	Reviewer's company size
timeUsed, usageFrequency	More than 2 years, Daily	Experience with the product
incentivized, reviewSource	false, organic	Whether the reviewer got a gift, who invited the review
reviewerName	Alex D.	First name and last initial, as Capterra shows it
reviewId	Capterra___7000001	Same ID on Capterra, Software Advice and GetApp

The product summary row adds the average ratings, the rating breakdown, the share of reviewers who recommend the product, its categories, the site's own pros and cons summary, the total number of reviews and how many the run collected.

The reviewer's job title is shown on capterra.com but is not part of the data the sister sites publish, so it is not in the output.

How to scrape Capterra reviews

1. Click Try for free.
2. In Products, paste a Capterra product URL such as https://www.capterra.com/p/135003/Slack/, a Software Advice or GetApp URL, or type a name such as HubSpot CRM.
3. Set Max reviews per product. 0 collects every review.
4. Optionally keep only some star ratings, company sizes or lengths of use, or only the last N days.
5. Click Start, then download the results as JSON, CSV or Excel.

The run log says which product each line was matched to. If a typed name lands on the wrong product, paste its Software Advice URL instead: it points at the product exactly.

How much will it cost to scrape Capterra reviews?

You pay per result, nothing for the reviews filtered out by the site:

• $1.00 per 1,000 reviews on the Apify Free plan, down to $0.60 per 1,000 on Gold and above;
• $0.003 per product summary row ($0.002 on Gold), which you can turn off;
• $0.005 when the run starts.

The $5 of monthly credit in the Apify Free plan covers about 5,000 reviews. A full export of Slack, 24,229 reviews, costs about $24 on the Free plan and $15 on Gold. A weekly monitoring run on ten products that each got five new reviews costs about $0.08.

Input

See the Input tab for every option. The ones worth knowing:

• Products: Capterra URLs (regional sites such as capterra.co.uk work too), Software Advice URLs, GetApp URLs or product names, one per line.
• Star ratings, Reviewer company size, How long the reviewer used the product: applied by the site itself.
• Only reviews from the last N days or Only reviews published after: the Actor reads newest first and stops at the first older review.
• Reviews to return: New reviews only keeps a registry per product and never returns or charges a review twice.
• Webhook URL: receives a JSON summary at the end of each run.

{
    "products": ["https://www.capterra.com/p/135003/Slack/", "Asana"],
    "maxReviewsPerProduct": 500,
    "stars": [1, 2],
    "companySizes": ["D", "E", "F"]
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. A review row:

{
    "type": "review",
    "reviewId": "Capterra___7000001",
    "productName": "Slack",
    "title": "Easy to use across devices",
    "rating": 5,
    "easeOfUseRating": 5,
    "customerSupportRating": 4,
    "valueForMoneyRating": 5,
    "functionalityRating": 5,
    "pros": "Switching between laptop and phone is seamless.",
    "cons": "Replies in threads do not always notify you.",
    "publishedAt": "2026-10-04T17:40:11Z",
    "reviewerName": "Chris S.",
    "reviewerIndustry": "Construction",
    "reviewerCompanySize": "51-200 employees",
    "timeUsed": "More than 2 years",
    "usageFrequency": "Daily",
    "incentivized": true,
    "reviewSource": "invited by the site, nominal gift"
}

A product row:

{
    "type": "product",
    "productName": "Slack",
    "overallRating": 4.66,
    "totalReviews": 24229,
    "reviewsCollected": 24229,
    "recommendPercent": 86.1,
    "ratingBreakdown": {"5": 17407, "4": 5735, "3": 912, "2": 127, "1": 48}
}

The dataset has two views, Reviews and Products, so each can be exported on its own.

Tips

• For monitoring, run once in New reviews only with Max reviews per product at 0 to read the full history, then schedule it. Later runs only read the reviews published since the last complete run, with a 60-day margin for reviews the site publishes late after moderation.
• A full export of Slack, 24,229 reviews, takes about four minutes. Small products take seconds.
• Several URLs that point to the same product (a Capterra URL and a GetApp URL, say) are collected once.

FAQ

Can I scrape G2 reviews with this Actor?

No. G2 is a different company with its own reviews. This Actor covers Capterra, Software Advice and GetApp.

Why are reviews read from Software Advice?

Capterra, Software Advice and GetApp display the same reviews from the same database, with the same IDs. Software Advice answers plain HTTP requests, which keeps runs fast and cheap, and its filters are what makes the full history reachable.

Is it legal to scrape Capterra?

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Reviewer names are cut to first name and last initial, the way Capterra shows them, and are left empty for anonymous reviews.

Something does not work

Open an issue in the Issues tab with the run link. To call the Actor from your own code, see the API tab.