TrustRadius Reviews Scraper

Scrape TrustRadius software reviews and product profiles: the 1-10 trScore, use cases, pros and cons, likelihood to recommend, return on investment, alternatives considered, other software used, usability / support / implementation ratings, per-feature ratings, reviewer job title, department, industry, company size and country, plus product pricing plans, feature scores, alternatives, integrations and awards. Works for any product, category or single review page.

Built for reliability: plain HTTP with browser TLS fingerprinting, no headless browser, no login. Reviews come from the server-rendered list the site itself shows (10 per page, real sorting and star / company-size filters applied by TrustRadius), and each review's own page is read for the full answer set. You pay per item, nothing else.

What data does TrustRadius Reviews Scraper extract?

Review items (mode: reviews, default):

Field	Description
productSlug, productName, productUrl, vendor	Product the review is about (slack in /products/slack) and its vendor
reviewId, reviewSlug	Stable review id (6a72ca49c2147373c7cd803c) and URL slug
title	Review headline
overallRating, ratingScale	TrustRadius score on its native 1-10 scale (ratingScale is always 10)
useCasesAndDeployment	"Use Cases and Deployment Scope" answer
pros, cons	Lists of bullet points
likelihoodToRecommend, likelihoodToRecommendText	1-10 score (equals the overall score on TrustRadius) and the "where it fits / where it doesn't" text
returnOnInvestment	ROI bullet points
usabilityRating, usabilityText	1-10 usability score and explanation
supportRating, supportText, implementationRating, implementationText, likelihoodToRenew, ...	Further 1-10 sliders when the reviewer answered them (null otherwise)
alternativesConsidered, alternativesText	Products evaluated and why this one was chosen
otherSoftwareUsed	[{productName, rating}], other tools the reviewer uses with their 1-10 rating
featureRatings	[{feature, group, rating}], per-feature 1-10 ratings
keyInsights	Quick yes/no pulse (valueprice, features, salesmarketing, implementation, buyagain)
answers	Every published question and answer of the review as {section, slug, question, type, answer, followup}, so nothing is lost
reviewerRole, reviewerJobType, reviewerDepartment	Job title, job level ("Manager", "C-Level Executive"...) and department
reviewerIndustry, companyName, companySize, reviewerCountry	Industry, company, size band ("51-200 employees") and ISO country code
yearsExperience, reviewerRoles	Years using the product; roles such as user, manager, decisionMaker
reviewDate, editedDate	ISO dates (2026-08-10)
grade	TrustRadius review quality grade (A-D)
isVetted, isVerified, isLinkedInVerified, isTrusted, isReseller	Review vetting / verification flags
isIncentivized, incentive, source	Whether a gift card was offered (TrustRadius) and how the review was sourced (CommunityInvite, RaaS, ...)
hasFullReview	true when the review's own page was read (see Fetch full reviews)
url, listingUrl	Review permalink and the list page it was found on

Reviewer names, photos, profile links and LinkedIn URLs are deliberately not collected.

Product items (mode: products): slug, name, url, vendor, vendorUrl, description, longDescription, trScore (1-10), ratingCount (all ratings), reviewCount (written reviews), ratingDistribution (score bands 9-10 / 7-8 / 5-6 / 3-4 / 1-2), reviewerCompanySizes, reviewerDepartments, reviewerJobTypes, reviewerCountries, primaryCategory, categories, categoryUrls, startingPrice, startingPriceText, startingPricePeriod, startingPriceUnit, pricing (plans with name, price, priceText, period, unit, notes), pricingUrl, hasFreePlan, features (per-feature score, ratingCount, categoryAverage), featureList, alternatives (name, URL, trScore, rating count), integrations, awards (full history with dates), currentAwards, operatingSystems, prosSummary, consSummary, faq, topIndustries, isCustomerVerified, homepage, logoUrl, screenshots.

Category cards (mode: category): position, category, categorySlug, categoryUrl, slug, name, url, vendor, trScore, ratingCount, reviewCount, tagline, description, startingPrice, trialAvailable, awards, topFeatures, prosSummary, consSummary, homepage, pricingUrl, logoUrl.

How to use TrustRadius Reviews Scraper

1. Paste one or more URLs into Start URLs: a product page (https://www.trustradius.com/products/slack), its reviews page, a category page (https://www.trustradius.com/categories/crm) or a single review (https://www.trustradius.com/reviews/slack-2026-08-05-00-29-43).
2. Pick What to scrape: reviews (default), product profiles, or category cards.
3. Set Max items and, for category runs, Max reviews per product so the budget is spread across products.
4. Choose Sort reviews (most recent by default), optionally Only these star ratings (e.g. 1, 2, 3 for critical reviews) and Only these company sizes (small, medium, large).
5. Leave Fetch full reviews on for the complete answer set, or turn it off for a fast pass with title, score, use case, pros, cons and reviewer role / company size only.
6. Click Start. Results appear in the Dataset tab; export as JSON, CSV or Excel, or read them through the API.

Input example

{
  "startUrls": [
    { "url": "https://www.trustradius.com/products/slack/reviews" },
    { "url": "https://www.trustradius.com/categories/crm" }
  ],
  "mode": "reviews",
  "maxItems": 500,
  "maxReviewsPerProduct": 100,
  "sortReviews": "most_recent",
  "ratingFilter": [],
  "companySizeFilter": [],
  "fetchFullReviews": true
}

Output example

{
  "type": "review",
  "productSlug": "slack",
  "productName": "Slack",
  "productUrl": "https://www.trustradius.com/products/slack",
  "vendor": "Salesforce",
  "reviewId": "6a72ca49c2147373c7cd803c",
  "title": "Well Organized and Easy to Manage",
  "overallRating": 9,
  "ratingScale": 10,
  "useCasesAndDeployment": "My team uses Slack every day for communication between developer, tester, manager, QA...",
  "pros": ["Keep project discussions organized with separate channels.", "Quick direct messages help solve small issues without long meetings."],
  "cons": ["Too many notification can be distracting, even with notifications setting."],
  "likelihoodToRecommend": 9,
  "likelihoodToRecommendText": "Slack works very well for daily team communications, project discussions, bug tracking...",
  "returnOnInvestment": ["Faster communication between team members.", "Reduced the need for long email conversations"],
  "usabilityRating": 9,
  "alternativesConsidered": ["Microsoft Teams"],
  "alternativesText": "Before using Slack, I worked with Microsoft Teams. ... I found Slack easier for day-to-day communication.",
  "otherSoftwareUsed": [{ "productName": "Microsoft Teams", "rating": 9 }, { "productName": "Google Workspace", "rating": 8 }],
  "featureRatings": [{ "feature": "Chat", "group": "Communication", "rating": 10 }, { "feature": "Search", "group": "Project Management", "rating": 9 }],
  "keyInsights": { "valueprice": "yes", "features": "yes", "salesmarketing": "yes", "implementation": "yes", "buyagain": "yes" },
  "reviewerRole": "Full-stack developer",
  "reviewerJobType": "Professional",
  "reviewerDepartment": "Information Technology",
  "reviewerIndustry": "Computer Software",
  "companySize": "501-1000 employees",
  "reviewerCountry": "IND",
  "yearsExperience": 4,
  "reviewDate": "2026-08-10",
  "grade": "B",
  "isVetted": true,
  "isIncentivized": false,
  "source": "CommunityInvite",
  "hasFullReview": true,
  "url": "https://www.trustradius.com/reviews/slack-2026-08-05-00-29-43"
}

How much does it cost?

Pay per item: $0.002 per review, $0.004 per product profile (two page fetches), $0.001 per category card, plus normal Apify platform usage. No start fee, no subscription. 1,000 full reviews cost about $2 in item fees plus a few cents of compute. With Fetch full reviews on, each review is one extra ~1 MB page fetch; on residential proxies that bandwidth is the main cost, so use datacenter proxies (the default, which worked in testing) unless you see blocks.

How do I scrape all reviews of a product?

Use the product's reviews URL and raise Max items and Max reviews per product. TrustRadius lists 10 written reviews per page; the actor walks every page (Slack has 640+ written reviews on 65 pages). Sorting by most recent and scheduling the actor weekly is the cheapest way to keep a review feed up to date; deduplicate on reviewId.

What is the difference between ratings and reviews?

TrustRadius shows two counts: ratingCount includes quick star ratings without text (10,000+ for Slack), reviewCount is the number of written reviews you can actually scrape (640+ for Slack). The score (trScore, overallRating) is always on a 1-10 scale; the site's star filter maps stars to score bands (5 stars = 9-10, 4 = 7-8, 3 = 5-6, 2 = 3-4, 1 = 1-2), and Only these star ratings uses the same mapping.

Can I get only negative reviews?

Yes. Set Only these star ratings to 1, 2, 3 (scores 1-6) and Sort reviews to "Lowest rated". Filters are applied by TrustRadius itself, so you do not pay for reviews you do not want. Only these company sizes works the same way (small = 1-50, medium = 51-1,000, large = 1,001+ employees).

Does it work with category pages?

Yes. A category URL such as https://www.trustradius.com/categories/crm is paginated automatically (25 products per page, 1,500 products in CRM). In reviews mode every product in the category is opened and up to Max reviews per product reviews are saved per product; in products mode each product gets a full profile with pricing plans, feature scores and awards; in category mode you get the ranking cards only, the cheapest way to list a whole category with trScores, review counts and starting prices.

Does it work without login or a browser?

Yes. Everything comes from public pages served to anonymous visitors, read with plain HTTP requests and Chrome TLS fingerprinting. No account, cookies or headless browser, which keeps runs fast (about one second per review with full reviews on, ten reviews per second with it off) and cheap.

Integrations and API

Use the run in Zapier, Make, n8n, Google Sheets, or call it from Python/Node with the Apify client. See the API tab for ready-made snippets. Schedule it to monitor new reviews of your product or your competitors.

Is it legal to scrape TrustRadius?

This actor collects only publicly available data: review texts and ratings, reviewer job title, department, industry, company size band and country, and product / vendor business information. It does not collect reviewer names, photos, profile links or any contact details. You are responsible for how you use the data and for complying with TrustRadius' terms and applicable law.

Support

Found a bug or need a field added? Open an issue in the Issues tab; it is usually answered within a day.