Capterra Software Scraper

Comparing software on Capterra by hand is slow. You open a product card, write down the rating and review count, note the vendor and who it's aimed at, then do it again for the next one. This scraper takes the whole category in a single pass. Give it a Capterra category page and every product comes back as a clean row: name, vendor, ratings, review counts broken out by company size, supported features, and the links you'd otherwise click through to. It's cheap, code-free, and you only pay for what you scrape.

What you get

Each product on the category page becomes one row with a steady shape, grouped into a few kinds of data:

• Identity and links — productName, vendorName, productId, urlSlug, listingUrl, reviewsUrl, pricingUrl, logoLink
• Descriptions — tagline, fullDescription
• Ratings — overallScore, easeOfUseScore, supportScore, featuresScore, valueScore, recommendScore
• Review counts — reviewsTotal, reviewsLast12Months, reviewsLast6Months, smbReviews, midMarketReviews, enterpriseReviews
• Features and category — featureList, categoryId, availablePages, categorySlug, categoryPageUrl, collectedAt

Quick start

1. Open Capterra, find the software category you care about, and copy its page URL (or just the slug).
2. Hit Try for free and paste that into Category page URL or slug.
3. Set a Results limit to cap how many products you pull, or leave it at 0 for the whole category.
4. Press Start, then export the results as JSON, CSV, Excel, or XML.

Use cases

• Competitive research — see how products in a category stack up on rating, reviews, and audience mix
• Software comparison datasets — build a structured table to publish, analyze, or feed a model
• Buyer shortlists — filter a category down to the best-rated tools for a given company size
• Market mapping — chart who leads a vertical and where the long tail sits
• Trend tracking — rerun on a schedule to watch ratings and review volume move over time
• Vendor and lead research — pull vendor names and product links across a whole category at once

Input

Field	Type	Required	Description
categoryPageUrl	string	Yes	The Capterra category to scrape, as a full page URL or a bare slug. Prefilled with a project-management example.
resultsLimit	integer	No	How many products to collect across pages. Default 20; set 0 to pull the whole category.
timeoutSeconds	integer	No	Seconds to wait on each request before timing out. Default 45; range 5–120.

Example input

{
    "categoryPageUrl": "https://www.capterra.com/project-management-software/",
    "resultsLimit": 20,
    "timeoutSeconds": 45
}

Output

Every product on the category page becomes one row, paginated automatically up to your limit. Fields Capterra does not publish for a given product come back as null so your columns stay predictable.

Example output

{
    "productName": "Asana",
    "productId": "186596",
    "urlSlug": "Asana",
    "listingUrl": "https://www.capterra.com/p/186596/Asana/",
    "reviewsUrl": "https://www.capterra.com/p/186596/Asana/reviews/",
    "pricingUrl": "https://www.capterra.com/p/186596/Asana/pricing/",
    "logoLink": "https://gdm-catalog-fmapi-prod.imgix.net/ProductLogo/example-logo.png",
    "vendorName": "Asana",
    "tagline": "Work management for teams of any size.",
    "fullDescription": "Asana helps teams orchestrate their work, from daily tasks to strategic initiatives.",
    "overallScore": 4.5,
    "easeOfUseScore": 4.4,
    "supportScore": 4.3,
    "featuresScore": 4.4,
    "valueScore": 4.3,
    "recommendScore": 0.86,
    "reviewsTotal": 13210,
    "reviewsLast12Months": 740,
    "reviewsLast6Months": 355,
    "smbReviews": 7600,
    "midMarketReviews": 3900,
    "enterpriseReviews": 1710,
    "featureList": [
        {"name": "Task Management", "qualityRating": 4.5},
        {"name": "Collaboration Tools", "qualityRating": 4.4}
    ],
    "categoryId": "f1b2c3d4-1234-5678-9abc-def012345678",
    "availablePages": ["alternatives", "pricing", "reviews", "spotlight"],
    "categorySlug": "project-management-software",
    "categoryPageUrl": "https://www.capterra.com/project-management-software/",
    "collectedAt": "2026-06-29T12:00:00.000000+00:00"
}

Output fields

Field	Type	Description
productName	string	Name of the software product
productId	string	Capterra's internal product identifier
urlSlug	string	Short token Capterra uses in the product link
listingUrl	string	Link to the product's main page
reviewsUrl	string	Link to the product's reviews page
pricingUrl	string	Link to the pricing page; null when none is published
logoLink	string	Image URL for the product logo
vendorName	string	Company that publishes the software
tagline	string	One-line summary from the product card
fullDescription	string	Longer description when Capterra provides one
overallScore	number	Average user rating out of five
easeOfUseScore	number	Average ease-of-use rating out of five
supportScore	number	Average customer-support rating out of five
featuresScore	number	Average features rating out of five
valueScore	number	Average value-for-money rating out of five
recommendScore	number	Share of reviewers who would recommend, from 0 to 1
reviewsTotal	integer	Count of all reviews gathered
reviewsLast12Months	integer	Reviews posted in the trailing twelve months
reviewsLast6Months	integer	Reviews posted in the trailing six months
smbReviews	integer	Reviews from small-business users
midMarketReviews	integer	Reviews from mid-size company users
enterpriseReviews	integer	Reviews from enterprise users
featureList	array	Supported features, each with an optional quality score
categoryId	string	Capterra identifier for the category
availablePages	array	Extra pages published for the product, such as pricing or alternatives
categorySlug	string	Slug of the category that was scraped
categoryPageUrl	string	Full category URL the run pulled from
collectedAt	string	ISO 8601 timestamp of when the row was captured

Tips for best results

• Point at a category, not a single product. The scraper reads a Capterra category listing page, so the URL should be the category itself.
• Cap test runs with resultsLimit. Start with 20 to confirm the output fits your pipeline, then set it to 0 for the full category.
• One category per run. To cover several categories, run the actor once per category URL — schedule them or fire them off via the API.
• Raise timeoutSeconds to around 60 if you see repeated timeout errors on larger categories.
• Some fields are sparse. A product without a pricing page returns null for pricingUrl, and review breakdowns can be empty for newer tools — those rows still carry everything else.

How can I use Capterra software data?

How can I use the Capterra Software Scraper to compare tools in a category? Paste the category page URL and the scraper returns every product with overallScore, reviewsTotal, and the per-rating scores for ease of use, support, features, and value. Sort the rows however you like to rank a whole category in one view instead of opening cards one by one.

How can I pull Capterra ratings and reviews into a spreadsheet? Run the actor, then export to CSV or Excel. Each product is one row with ratings and review counts already split out, including breakdowns by company size (smbReviews, midMarketReviews, enterpriseReviews), so the file drops straight into a sheet or BI tool.

How can I track software review trends over time on Capterra? Schedule the scraper to run on the same category on a regular cadence and keep each export. Because every row carries collectedAt alongside reviewsTotal and reviewsLast12Months, you can chart how ratings and review volume shift between runs.

How can I research vendors across a Capterra software category? Set resultsLimit to 0 to grab the full category, then group by vendorName. You get each product's listingUrl, pricingUrl, and ratings in one dataset, which is enough to start mapping vendors or chasing leads.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. 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.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.