Capterra Reviews Scraper — Star & Date Filters · $0.9/1K 💰

Turn any Capterra product into a clean table of reviews, sorted and filtered the way you need them. Paste a reviews, product, category or compare URL from capterra.com or any of its regional sites, pick a sort order and filters (star rating, company size, posted-after date), and get one row per review with pros, cons, four sub-ratings, recommendation score, reviewer role, company size and vendor reply.

Why Use This Scraper?

• Capterra filters before you pay. Ask for 1-2★ reviews only, reviews posted since 1 September, or reviewers from 51-200 employee companies, and Capterra itself does the filtering. You pay for the reviews you keep, not for the pages walked to find them.
• Any sort order. Most helpful (Capterra's default), most recent, highest rated or lowest rated.
• Past the website's 2,500-review wall. capterra.com stops paging at page 100. The actor follows Capterra's own review cursor, so a product like Slack (24,222 reviews) can be exported in full.
• Regional URLs work. www.capterra.co.uk, capterra.com.de, capterra.in, capterra.com.au and 33 more regional sites resolve to the matching capterra.com product.
• Product URL → reviews in one step. Turn on Also scrape reviews for product URLs and a product link brings its reviews along.
• Every input gets an answer. A delisted product, a URL from another site or a filter that matches nothing each produce a row that says so, never a silent empty run.
• Products, categories and comparisons too, in the same actor and the same run.
• $0.90 per 1,000 rows. Pure HTTP, no browser, a built-in residential proxy at no extra cost.

Overview

The dataset is flat: one row per review, with the product-level numbers (overall rating, review count, rating distribution of the collected reviews, sub-rating averages, and the sort and filters used) nested on every row under productAggregate. A spreadsheet export needs no joins.

The other URL kinds follow the same idea: a category URL gives one row per listed product, a product URL gives one rich product row, a compare URL gives one comparison row. A rowType field tells the row kinds apart.

Supported Inputs

Input	Example	Rows
Reviews page	https://www.capterra.com/p/135003/Slack/reviews/	one review row per review
Product page	https://www.capterra.com/p/135003/Slack/	one product row (plus its reviews with Also scrape reviews for product URLs)
Category page	https://www.capterra.com/project-management-software/	one category-product row per listed product
Compare page	https://www.capterra.com/compare/137005-229614/SmartPM-vs-Notion/	one compare row
Regional product or reviews page	https://www.capterra.co.uk/software/135003/slack, https://www.capterra.in/software/135003/slack/reviews/	same as the capterra.com equivalent
Bare product ID	135003	one product row
Bare category slug	project-management	one category-product row per product

Copy-paste starter list:

[
  "https://www.capterra.com/p/135003/Slack/reviews/",
  "https://www.capterra.com/p/137005/SmartPM/",
  "https://www.capterra.com/project-management-software/",
  "https://www.capterra.co.uk/software/135003/slack"
]

Not supported: regional category and comparison pages (paste the capterra.com URL instead), other review sites, and anything behind a Capterra login. Each unsupported input produces a url-not-supported row with the reason.

Use Cases

Who	What they pull	Typical input
Product managers	Complaints and feature requests about their own product	Own reviews URL, stars 1-3, most recent
Competitive intelligence	Why customers leave a competitor and where they go	Competitor reviews URL, lowest rated, read switchedProducts and alternativeProducts
Customer success	New reviews every week, routed to the right team	Scheduled run with posted after set to last run's date
Market research	Ratings and positioning across a whole category	Category URL, then product URLs with reviews
Sales and partnerships	Mid-market and enterprise reviewers of a tool	Reviews URL, company sizes 201-500 to 10,001+
AI and LLM teams	Labeled review text (stars, pros, cons) for training or RAG	Reviews URL, maxReviewsPerProduct 0

How It Works

1. Classify. Each input is matched to a reviews, product, category or compare page. Regional URLs are mapped to the capterra.com product through the page's own hreflang link.
2. Warm a session. One sticky residential IP opens the homepage and a category page first, the way a visitor would, which is what Cloudflare expects before product pages.
3. Ask Capterra for the reviews. The first page comes from the server-rendered HTML; further pages, sorting and filters come from the same request the Capterra website makes when you change the sort or tick a star filter, page by page through Capterra's cursor.
4. Emit flat rows. One row per review with the product aggregate nested, ready for JSON, CSV or Excel.

Blocked IPs are swapped for fresh ones automatically, and one URL that cannot be fetched does not stop the rest of the run.

Input Configuration

Field	Type	Default	What it does
startUrls	array	required	Capterra URLs, IDs or category slugs, any mix
maxItems	integer	1000	Cap on total dataset rows for the run
maxReviewsPerProduct	integer	100	Review rows per product; 0 = all
includeReviews	boolean	true	Product URLs also return their reviews; turn off for product rows only
reviewsSort	string	MOST_HELPFUL	MOST_HELPFUL, MOST_RECENT, HIGHEST_RATED or LOWEST_RATED
reviewStarRatings	array	all	Keep only these star ratings, e.g. ["1","2"]
reviewCompanySizes	array	all	Keep only these company sizes: Self-employed, 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+
reviewsPostedAfter	string	none	Keep reviews posted on or after a YYYY-MM-DD date (sorts newest first)
maxProductsPerCategory	integer	50	Category rows per category URL; 0 = all on the page
reviewInsights	boolean	false	Add a no-AI review digest per product
painPointAnalysis	boolean	false	Add an AI complaint-theme report per product (paid plans)
reviewGapReport	boolean	false	Add one AI you-vs-competitors report per run (paid plans)
gapReportSubject	string	first product	Which product is yours in the gap report
enrichEmails	boolean	false	Find a contact email per product (experimental)
qualifyByPayment	boolean	false	Flag vendors that take payments online (needs enrichEmails)
proxy	object	built-in	Leave empty; set only to use Apify Proxy or your own proxies

Common scenarios

Complaints only, newest first:

{
  "startUrls": ["https://www.capterra.com/p/135003/Slack/reviews/"],
  "reviewsSort": "MOST_RECENT",
  "reviewStarRatings": ["1", "2"],
  "maxReviewsPerProduct": 200
}

Weekly monitoring of new reviews for three products:

{
  "startUrls": [
    "https://www.capterra.com/p/135003/Slack/reviews/",
    "https://www.capterra.com/p/211559/Trello/reviews/",
    "https://www.capterra.com/p/19319/JIRA/reviews/"
  ],
  "reviewsPostedAfter": "2026-10-06",
  "maxReviewsPerProduct": 0
}

Mid-market reviewers of a competitor, from a UK link:

{
  "startUrls": ["https://www.capterra.co.uk/reviews/135003/slack"],
  "reviewCompanySizes": ["201-500", "501-1000", "1001-5000"],
  "maxReviewsPerProduct": 100
}

Output Overview

rowType	One row per	Billed
review	review	yes
product	product URL	yes, plus its nested items
category-product	product listed in a category	yes
compare	compare URL	yes, plus one item per compared product
no-reviews	reviews request with nothing to return (no reviews yet, or none match the filters)	yes
url-not-found	input Capterra answers with a 404	yes
url-not-supported	input that is not a supported Capterra page	yes
review_insights, painPointAnalysis, reviewGapReport	opt-in add-on reports	per their own event

Output Samples

A review row from a filtered run (lowest rated, 1-2★, companies of 11-200 people). Real data, a few empty fields left out:

{
  "rowType": "review",
  "reviewsUrl": "https://www.capterra.com/p/135003/x/reviews/",
  "productId": "135003",
  "productName": "Slack",
  "reviewId": "Capterra___3052145",
  "title": "Did not like at all.",
  "overallRating": 1,
  "recommendationScore": 2,
  "subRatings": { "easeOfUse": 1, "customerService": 0, "features": 1, "valueForMoney": 0 },
  "text": null,
  "pros": "None that I can think of. Was not a very good option.",
  "cons": "It was not clear cut, very confusing to use. Did not really have a user friendly feel.",
  "switchedFrom": null,
  "alternativeProducts": [],
  "publishedAt": "August 30, 2021",
  "timeUsed": "Less than 6 months",
  "reviewer": {
    "name": "Jose C.",
    "jobTitle": "Lead Client Experience Manager",
    "industry": "Information Technology and Services",
    "companySize": "51-200 employees",
    "verifiedLinkedIn": false,
    "validationsPassed": ["ProofOfLink"]
  },
  "verified": true,
  "incentivization": "nominal-gift",
  "reviewUrl": "https://www.capterra.com/p/135003/x/#Capterra___3052145",
  "vendorResponse": null,
  "productAggregate": {
    "rating": { "average": 4.7, "count": 24222, "bestRating": 5 },
    "subRatingAverages": { "easeOfUse": 1.8, "customerService": 1, "features": 1.3, "valueForMoney": 1 },
    "ratingDistribution": [
      { "stars": 5, "count": 0, "percentage": 0 },
      { "stars": 4, "count": 0, "percentage": 0 },
      { "stars": 3, "count": 0, "percentage": 0 },
      { "stars": 2, "count": 15, "percentage": 50 },
      { "stars": 1, "count": 15, "percentage": 50 }
    ],
    "totalReviews": 30,
    "pagesScraped": 2,
    "reviewsQuery": {
      "sort": "LOWEST_RATED",
      "starRatings": [1, 2],
      "companySizes": ["11-50", "51-200"],
      "postedAfter": null,
      "matchingReviews": 54,
      "source": "capterra-sorted"
    }
  },
  "scrapedAt": "2026-10-13T06:55:22.929Z"
}

A product row (selected fields; the full row also carries features, screenshots, integrations, awards, alternatives, pricing and breadcrumbs):

{
  "rowType": "product",
  "productId": "135003",
  "name": "Slack",
  "rating": { "average": 4.7, "count": 24222, "bestRating": 5 },
  "pricingStarts": "$9",
  "subRatingAverages": {
    "easeOfUse": { "rating": 4.6, "reviews": 22777 },
    "customerService": { "rating": 4.4, "reviews": 13589 },
    "valueForMoney": { "rating": 4.5, "reviews": 15331 }
  },
  "reviewSentiment": {
    "totalReviews": 24222,
    "positive": { "count": 96, "percentage": 96 },
    "neutral": { "count": 4, "percentage": 4 },
    "negative": { "count": 1, "percentage": 1 }
  },
  "regionalInputUrl": "https://www.capterra.co.uk/software/135003/slack"
}

Diagnostic rows, each from a real run:

{ "rowType": "no-reviews", "productName": "SmartPM", "message": "This product has reviews, but none match the requested filters (star ratings, company sizes or posted-after date). Widen the filters to get rows." }
{ "rowType": "url-not-found", "inputUrl": "https://www.capterra.in/software/1105143/CLEO-by-RegenAI/reviews/", "httpStatus": 404, "message": "www.capterra.in returned 404 — this product page no longer exists on that regional site (delisted or moved). Find the product on capterra.com and paste that URL instead." }
{ "rowType": "url-not-supported", "inputUrl": "https://www.g2.com/products/slack/reviews", "message": "Not a Capterra URL (www.g2.com). This actor reads capterra.com and its regional sites only." }

Key Output Fields

Review content: title, text, pros, cons, adviceToOthers, reasonsForChoosing, reasonsForSwitching, publishedAt, reviewUrl

Ratings: overallRating (1-5), recommendationScore (0-10), subRatings.easeOfUse, subRatings.customerService, subRatings.features, subRatings.valueForMoney

Reviewer: reviewer.name (null for anonymous reviews), reviewer.jobTitle, reviewer.industry, reviewer.companySize, reviewer.verifiedLinkedIn, reviewer.validationsPassed, timeUsed

Trust signals: verified, incentivization (none, vendor-referred, nominal-gift, vendor-referred-incentive), reviewSourceTooltip

Competitive signals: switchedFrom, switchedProducts[], alternativeProducts[], vendorResponse

Product aggregate (on every review row): productAggregate.rating, productAggregate.ratingDistribution and productAggregate.subRatingAverages (both computed from the collected reviews), productAggregate.totalReviews, productAggregate.reviewsQuery.matchingReviews (Capterra's own count for the star and company-size filters)

Product rows: name, description, rating, pricing, features[], integrations[], awards[], alternatives[], screenshotUrls[], subRatingAverages (with reviewer counts), reviewSentiment

Pricing

Pay per event. You only pay for what lands in your dataset.

Event	When	Price
Actor start	once per run	$0.01
Dataset row	every row: review, product, category product, compare, and the diagnostic rows	$0.0009 ($0.90 per 1,000)
Additional data	per nested item on product rows (features, screenshots, review snippets, alternatives, categories) and per compared product on compare rows	$0.001
Contact email	per email found by enrichEmails, never for misses	$0.05
Review insights	per product digest	$0.02
AI pain-point analysis	per product report (paid plans)	$0.05
AI review-gap report	per report (paid plans)	$0.10

Examples: 1,000 reviews cost about $0.91. A product row carries 100-150 nested items, so a full product row costs about $0.10-0.15; review rows carry no nested charges. Sorting and filtering are free, and filtered-out reviews are never billed.

FAQ

How do the filters work, and do I pay for reviews that get filtered out?

Star rating and company size are applied by Capterra before the reviews come back, so filtered-out reviews are never fetched or billed. The posted-after date sorts reviews newest first and stops at the first older review.

How many reviews can I get per product?

Set maxReviewsPerProduct to 0 for all of them. The capterra.com website stops at 100 pages (2,500 reviews); the actor pages through Capterra's own review cursor instead, so larger products export in full. maxItems still caps the whole run.

Which regional Capterra sites work?

All 37 regional sites Capterra links from its pages, including capterra.co.uk, capterra.com.de, capterra.fr, capterra.es, capterra.in, capterra.com.au, capterra.ca, capterra.com.br and capterra.jp. Product and review pages are supported; the actor maps them to the capterra.com product and returns its reviews, which are the same review pool.

Does a product URL return reviews?

Yes. A product URL returns the product row plus its reviews, because includeReviews is on by default. Turn it off if you only want the product row.

Why did a product that exists come back as url-not-found?

Capterra sometimes answers a product page with its "page doesn't exist" page while the reviews page of the same product works (seen on Slack and SmartPM in October 2026). The actor retries from a fresh IP first; if Capterra keeps answering 404, the row says so and names the product's reviews URL. With includeReviews on, the reviews are still collected.

Is ratingDistribution Capterra's histogram?

It is computed from the reviews this run collected (Capterra renders its histogram in the browser). With filters on, it describes the filtered set. The product's real total is productAggregate.rating.count.

Can I run it on a free Apify plan?

Yes: up to 100 rows and 100 URLs per run, with the same proxy and filters. The AI reports need a paid plan.

Can I schedule it?

Yes. Save the input as a task, set reviewsPostedAfter (or sort by most recent with a small maxReviewsPerProduct) and schedule it in Apify Console; a webhook or the Make, Zapier and n8n integrations can pick up each run's dataset.

Can it read reviews behind a login?

No. Only publicly visible pages.

Support

Open an issue on the actor's Issues tab with the input you used and the run link. Feature requests are welcome there too.

Additional Services

Need another review site, a custom field, a scheduled feed into your warehouse or a one-off bulk export? Open an issue or message the maintainer through the Apify profile.

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor through the Apify MCP server or the Apify API (actor: memo23/capterra-scraper).

Purpose: Capterra reviews (capterra.com and 37 regional sites) as one flat row per review, with Capterra-side sort and star, company-size and date filters; also product, category and compare pages.

Minimal input:

{
  "startUrls": ["https://www.capterra.com/p/135003/Slack/reviews/"],
  "reviewsSort": "MOST_RECENT",
  "reviewStarRatings": ["1", "2"],
  "maxReviewsPerProduct": 25,
  "maxItems": 25
}

Output: one row per review: rowType, reviewId, productId, productName, title, text, pros, cons, overallRating, recommendationScore, subRatings {easeOfUse, customerService, features, valueForMoney}, publishedAt, timeUsed, reviewer {name, jobTitle, industry, companySize}, incentivization, switchedProducts, alternativeProducts, vendorResponse, productAggregate {rating, totalReviews, reviewsQuery {sort, starRatings, companySizes, postedAfter, matchingReviews}}.

Behaviors an agent should know:

• Always set maxItems; maxReviewsPerProduct: 0 means every review, which is tens of thousands on large products.
• A product URL returns its product row plus its reviews; set includeReviews: false for the product row only.
• reviewsPostedAfter (YYYY-MM-DD) forces newest-first order and stops early; use it for incremental runs.
• Inputs that cannot be scraped still return a row (url-not-found, url-not-supported, no-reviews) with a message.
• Billing: $0.0009 per row, $0.01 per run, $0.001 per nested item on product and compare rows only; filtered-out reviews are free.
• Public pages only; regional category and compare pages are not supported.

⚠️ Disclaimer

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

The scraper accesses only publicly available Capterra pages: product listings, reviews, categories and comparisons as any logged-out visitor sees them. No authenticated endpoints, no CAPTCHA solving, nothing behind the Capterra login. Users are responsible for ensuring their use complies with Capterra's Terms of Service, applicable data-protection law (GDPR, CCPA and others) when storing or processing reviewer information, and their own organization's obligations. Do not contact reviewers without consent, and do not republish review content in a way that misrepresents its authorship.

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