Software Advice Reviews Scraper (Capterra Network)

This Software Advice reviews scraper extracts public B2B software reviews from softwareadvice.com: star ratings, pros and cons, reviewer industry and company size, usage time, review date and vendor responses. Software Advice belongs to Gartner Digital Markets, the same review network as Capterra and GetApp, so it is a practical way to get Capterra-network review data. Use it as an unofficial software reviews API from Python, JavaScript, Make, Zapier or AI agents via the Apify MCP server. Note: the Actor reads softwareadvice.com only; it does not scrape capterra.com or getapp.com.

What does this Software Advice reviews scraper do?

Give the Actor a product name like Slack or HubSpot CRM, or paste a softwareadvice.com URL. You get clean JSON, CSV or Excel back in seconds.

• ⚡ Fast and light. It uses no headless browser. In our tests it collected about 15 to 20 reviews per second on 256 MB of memory.
• 🛡️ Reliable. It has automatic retries with backoff, browser-grade TLS fingerprints, and it rediscovers the site's internal API automatically when the site redeploys.
• 💸 Pay only for results. You pay per review delivered. There is no monthly rental.
• 🔒 Public data only. It never logs in. Reviewer names are written exactly as shown publicly (first name and last initial), and anonymous reviewers stay anonymous.

What can you use it for?

• Competitor analysis: see what customers love and hate about competing tools.
• Product and UX research: mine the "cons" field at scale for feature gaps.
• Sales and marketing: find testimonials and the industries and company sizes that like a product.
• Review monitoring: schedule a daily run with reviewedAfter to collect only new reviews.
• AI and LLM pipelines: feed structured reviews into sentiment analysis, RAG or dashboards.

How to scrape Software Advice reviews

1. Open the Actor in Apify Console and add product names or softwareadvice.com URLs to products.
2. Optionally set maxReviewsPerProduct, filters and the sort order.
3. Click Start, then download the dataset as CSV, Excel or JSON, or read it through the Apify API.

Input fields

Field	Description
products	Product names (e.g. Asana) or softwareadvice.com product or review URLs.
maxReviewsPerProduct	Maximum reviews per product. The default is 100. 0 means all reviews.
sort	MOST_RECENT (default) or HIGHEST_COMPLETENESS_SCORE.
reviewedAfter	Optional YYYY-MM-DD. Returns only newer reviews. Use it for monitoring.
ratings	Optional star filter, e.g. [1, 2] for negative reviews only.
companySizes	Optional size codes: A = self-employed, B = 2–10, C = 11–50, D = 51–200, E = 201–500, F = 501–1,000, G = 1,001–5,000, H = 5,001–10,000, I = 10,000+.
includeGatedSummaries	Some reviews are login-gated on the site. If you turn this on, you get only their public AI summary and rating, marked isGated: true. It is off by default.
proxyConfiguration	Usually not needed.

{
  "products": ["Slack", "HubSpot CRM", "https://www.softwareadvice.com/project-management/asana-profile/"],
  "maxReviewsPerProduct": 100,
  "sort": "MOST_RECENT"
}

Review data you can extract

Each review is one dataset item (example with real field names; values shortened):

{
  "productName": "Slack",
  "productRating": 4.7,
  "productReviewCount": 24184,
  "reviewId": "e27bfe51-674d-4105-84ae-e645e85022a7",
  "reviewUrl": "https://www.softwareadvice.com/remote-support/slack-profile/reviews/#e27bfe51-...",
  "isGated": false,
  "title": "Provides Excellent Channel-Based Messaging and Built-in Interactive Conferencing",
  "pros": "Slack is simply the best collaborative messaging tool ...",
  "cons": "Some of the notification settings are global ...",
  "overallComments": "Slack seamlessly connects our teams ...",
  "summary": null,
  "overallRating": 5,
  "easeOfUseRating": 5,
  "customerSupportRating": 5,
  "valueForMoneyRating": null,
  "functionalityRating": null,
  "reviewerName": "Ricardo O.",
  "reviewerJobTitle": null,
  "reviewerIndustry": "Telecommunications",
  "reviewerCompanySize": "51-200",
  "reviewerVerified": false,
  "usageDuration": "3-5 years",
  "usageFrequency": "daily",
  "reviewSource": "Invited by vendor, nominal incentive",
  "vendorReply": null,
  "vendorReplyDate": null,
  "date": "2026-11-04T10:58:52Z"
}

Which fields are filled?

The site shows two kinds of reviews, and the fields differ between them.

Field	Full reviews (isGated: false)	Gated reviews (isGated: true, only with includeGatedSummaries)
title, pros, cons, overallComments	yes	- (the full text is login-gated)
overallRating	yes	yes
easeOfUseRating, customerSupportRating, valueForMoneyRating, functionalityRating	when the reviewer rated them	-
reviewerName	first name + last initial, unless the reviewer is anonymous	-
reviewerJobTitle	- (the site does not show it on full reviews)	yes
summary	-	yes (the site's public AI summary)
reviewerIndustry, reviewerCompanySize, usageDuration, usageFrequency, reviewSource, date	yes	yes
vendorReply, vendorReplyDate	only when the vendor replied. This depends on the vendor: Pipedrive replies to almost every review, many vendors to none.	-

The benefits field was removed in version 0.4, because the site no longer publishes it.

A RUN_SUMMARY record in the key-value store lists, for every product, the review count, the number of pages, the aggregate sub-ratings and any error.

Software Advice reviews API in Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("tidy-data/software-advice-capterra-reviews-scraper").call(run_input={
    "products": ["Slack", "HubSpot CRM"],
    "maxReviewsPerProduct": 200,
    "sort": "MOST_RECENT",
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["productName"], review["overallRating"], review["cons"])

The same Actor can be called from JavaScript (apify-client), the REST API, Make, Zapier, n8n or AI agents through the Apify MCP server.

How much does it cost to scrape software reviews?

Event	Price
Review	$0.003 ($3 per 1,000 reviews)
Actor start	$0.00005

For example, 1,000 reviews for each of 5 competitors costs about $15. You can cap spending with Maximum cost per run. The Actor stops cleanly when the limit is reached.

Errors and reliability

• A product that cannot be found returns a clear error with the closest matches. A non-Software-Advice URL or a 404 page also returns a clear error. In all these cases, the other products in the run still continue.
• If the site blocks requests (HTTP 403 or 429, or a challenge page), the Actor retries 5 times with backoff and new fingerprints. If it is still blocked, it tells you to enable Apify Proxy (residential).
• If the site changes its internal API, the Actor rediscovers it automatically. If it cannot, the run fails loudly instead of returning empty data.
• A run that extracts 0 reviews is marked failed, so your integrations never silently get nothing.

FAQ

Is this the same data as Capterra?

Software Advice, Capterra and GetApp share the Gartner Digital Markets review network, so the same product often shows the same review count and rating on all three sites (for example, Slack with 24,184 reviews and a 4.7 rating when we checked). The Actor collects the reviews as published on softwareadvice.com.

Is there an official Capterra API for reviews?

We are not aware of a public, self-service API for downloading reviews of any product on Capterra or Software Advice. This Actor is an unofficial alternative built on Software Advice's public review pages.

Can I export the reviews to Excel or CSV?

Yes. Every run stores the reviews in a dataset that you can download as CSV, Excel, JSON, XML or HTML, or read through the Apify API.

Does it work with G2, GetApp or TrustRadius?

No. The Actor reads softwareadvice.com only. It does not scrape G2, TrustRadius, GetApp or capterra.com.

Is scraping reviews legal?

This Actor collects only publicly visible information and never logs in. It does not unlock gated content, and it reproduces reviewer names only as they are publicly displayed. You are responsible for using the data in line with the site's terms and with the laws that apply to you, such as GDPR. Do not use it to contact or profile individual reviewers.

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