TrustRadius Scraper — Reviews, Scores, Pros & Cons

TrustRadius Scraper: Reviews, Scores, Pros & Cons

Export the TrustRadius reviews of any software product: one row per review with the 1-10 score, headline, pros and cons, use cases, return on investment, alternatives considered, per-feature ratings and who wrote it (name as shown, job title, department, industry, company, company size and LinkedIn link when public). Sort by newest, filter by stars or company size, or keep only reviews newer than a date.

Switch What to scrape to products for product profiles (trScore, rating distribution, pricing plans, feature scores, alternatives, awards) or to category for every product card of a category page. No login, no browser. $2 per 1,000 reviews, plus Apify platform usage (mostly residential proxy: about $1 per 1,000 full reviews in our test runs).

What you get

• Review: headline, 1-10 rating, pros, cons, use cases, likelihood to recommend, ROI, review date, permalink
• Comparisons: alternatives considered and why, other software used with ratings, per-feature 1-10 ratings
• Reviewer: name as shown (or "Verified User"), job title and level, department, industry, company, company size, country, LinkedIn URL when published
• Trust signals: vetted, verified and incentivized flags, review source and quality grade
• Products and categories (other modes): trScore, rating distribution, pricing plans, feature scores, alternatives, integrations, awards

Try it: the input is prefilled with Slack's reviews and 20 items. Click Start and the 20 newest full reviews arrive in about a minute, for about $0.06 including proxy usage.

Sample output (one review, trimmed; the full field list and example follow below):

{
  "productName": "Slack",
  "title": "Slack is a productivity hack",
  "overallRating": 10,
  "pros": ["Eliminates the need for more zoom meetings, giving me time back"],
  "cons": ["Notifications can get noisy, especially with so many integrations"],
  "reviewerRole": "Account Manager",
  "reviewerDepartment": "Sales",
  "reviewerIndustry": "Consumer Services",
  "companySize": "51-200 employees",
  "reviewDate": "2026-10-29",
  "url": "https://www.trustradius.com/reviews/slack-2026-10-28-10-29-08-276"
}

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
reviewerName	Reviewer name as shown on the review; "Verified User" when the reviewer chose not to be shown publicly (TrustRadius' own label)
reviewerId, reviewerUrl	TrustRadius user id and public profile URL (https://www.trustradius.com/users/<id>); null for "Verified User" reviews
reviewerLinkedInUrl	LinkedIn profile URL when the review page links it publicly; null otherwise
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 identity is exported exactly as the page shows it: a reviewer TrustRadius displays as "Verified User" stays "Verified User", with no id, profile or LinkedIn link. Photos / avatars are 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" },
  "reviewerName": "Rushikesh Vasande",
  "reviewerId": "6a708ce532f254acc155f958",
  "reviewerUrl": "https://www.trustradius.com/users/6a708ce532f254acc155f958",
  "reviewerLinkedInUrl": null,
  "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 $2 in item fees plus platform usage. With Fetch full reviews on, each review is one extra ~1 MB page fetch, and because TrustRadius blocks datacenter IPs the default proxy is residential, so that bandwidth is the main usage cost: our 20-review test runs used $0.020-0.024 of platform usage, about $1-1.20 per 1,000 full reviews. Turn Fetch full reviews off when the list-page fields are enough; then each list page of 10 reviews is a single request.

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.

Monitor changes on a schedule

Turn on Only new or changed items and save the input as a task with a Schedule (Apify Console: Saved tasks -> Schedule, for example daily or weekly). Each run then remembers what earlier runs of the same input returned and outputs only what is new: new reviews in reviews mode, products whose trScore, starting price or free plan changed in products mode, and category cards whose trScore, starting price or free trial changed in category mode. Unchanged items are skipped before they are saved (and before the full-review page is fetched), so they are not charged. Add Only reviews newer than (7 days, 24 hours or a date like 2026-10-01) to bound how far back the first run reads; reviews are then read newest first and paging stops as soon as a page reaches older or already-seen reviews. Monitored items carry changeType (new or changed) and, for changed products and cards, previousValues with the old values of the fields that changed (e.g. {"trScore": 8.9}); Monitoring key keeps several schedules on the same input apart.

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 data that TrustRadius shows publicly to anonymous visitors: review texts and ratings, reviewer job title, department, industry, company size band and country, product / vendor business information, and the reviewer identity the review displays (name, TrustRadius profile link and, when the page shows it, LinkedIn profile link). Reviewer names and profile links are personal data: if you are subject to GDPR or similar laws, you need a lawful basis to process them. Reviewers shown as "Verified User" keep that label (no name, id or profile link is exported for them), and the actor does not collect photos, email addresses, phone numbers or anything behind a login. 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.

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