TrustRadius Reviews Scraper

⭐ TrustRadius Reviews Scraper

Scrape TrustRadius software reviews and product data in seconds. Paste a product URL, a category URL or a keyword and get each product's TrustRadius score, ratings, pricing, categories and alternatives, plus every review's rating, pros, cons, use case, ROI and reviewer role, industry and company size. No login, no browser, and you only pay per saved row.

✨ Why use TrustRadius Reviews Scraper?

• ⚡ Fast — reads TrustRadius's own JSON data instead of rendering pages, so 1,000 reviews take well under a minute.
• 🧾 Full reviews — use case, pros, cons, ROI, likelihood to recommend (score and explanation), alternatives considered, other software used, feature ratings and every other answered question.
• 🏢 Reviewer context — job type, department, industry, company size (and small / medium / large group), years of experience and country. No personal names are collected.
• 📦 Product data too — TrustRadius score (overall and by company size), rating and review counts, detailed and feature ratings, starting price and pricing editions, free version / trial, categories and top alternatives.
• 🔎 Three ways in — product URLs or slugs, category URLs (most-reviewed products first) and search keywords.
• 🎯 Filters — star rating, reviewer company size, published after / before, plus review order (newest, oldest, highest or lowest rated).

🎯 Use cases

• 🥊 Competitive intelligence — collect what customers praise and criticise about your competitors and track how their TrustRadius score moves.
• 🧭 Product research — mine pros, cons and feature ratings to find gaps and prioritise your roadmap.
• 📣 Marketing and sales enablement — find quotes, ROI statements and switching stories ("alternatives considered") by industry and company size.
• 🛒 Software buying — compare products in a category by score, pricing, free trials and verified review volume.
• 📊 Market maps and lead lists — export every product in a TrustRadius category with vendor, website, pricing and categories.
• 🤖 AI and analytics — feed structured reviews into sentiment analysis, topic clustering or an LLM knowledge base.

🚀 How to use

1. Paste one or more TrustRadius product URLs (or slugs like slack), category URLs, or add search keywords.
2. Set Max reviews per product (0 = product data only) and, for categories and keywords, Max products per category or keyword.
3. Optionally filter by star rating, company size or publish date, and pick the review order.
4. Click Start. Rows appear in the Output tab as they are saved.
5. Download the results as JSON, CSV, Excel or HTML, or read them with the API.

📥 Input

{
  "startUrls": [
    "https://www.trustradius.com/products/zoom-workplace/reviews",
    "https://www.trustradius.com/categories/project-management"
  ],
  "searchKeywords": ["crm"],
  "maxReviewsPerProduct": 50,
  "maxProductsPerSearch": 10,
  "starRatings": ["1", "2"],
  "companySizes": ["large"],
  "publishedAfter": "12 months"
}

📤 Output

Every row has a type: product or review. The Output tab has a Reviews and a Products table view.

Review example (shortened, fictional sample data in the real shape):

{
  "type": "review",
  "reviewUrl": "https://www.trustradius.com/reviews/zoom-workplace-2026-01-01-00-00-00-000",
  "productName": "Zoom Workplace",
  "vendorName": "Zoom",
  "title": "Reliable video calls for a distributed team",
  "rating": 9,
  "starRating": 5,
  "publishedDate": "2026-01-02T10:00:00.000Z",
  "useCase": "Our sales and support teams use it for daily stand-ups and customer demos...",
  "pros": ["Stable video quality", "Simple screen sharing"],
  "cons": ["Admin settings are hard to find"],
  "roi": ["Less travel for customer meetings"],
  "likelihoodToRecommendScore": 9,
  "alternativesConsidered": ["Google Meet"],
  "otherSoftwareUsed": [{ "product": "Microsoft Teams", "rating": 4 }],
  "featureRatings": [{ "name": "High quality audio", "featureId": "56044458f165b72d00adbbbe", "rating": 10 }],
  "reviewerJobType": "Executive",
  "reviewerDepartment": "Sales",
  "reviewerIndustry": "Computer Software",
  "companySize": "201-500 employees",
  "companySizeGroup": "medium",
  "reviewerYearsExperience": 3,
  "reviewerCountry": "USA",
  "reviewSource": "CommunityInbound",
  "incentive": "No",
  "trusted": true
}

Product example (shortened):

{
  "type": "product",
  "name": "Zoom Workplace",
  "vendorName": "Zoom",
  "url": "https://www.trustradius.com/products/zoom-workplace/reviews",
  "trScore": 8.6,
  "ratingCount": 5951,
  "reviewCount": 1071,
  "trScoreByCompanySize": { "small": { "trScore": 8.6, "ratingCount": 1710 } },
  "startingPrice": 16.99,
  "startingPriceTerms": "per user per month",
  "pricingEditions": [{ "name": "Pro", "price": "$16.99", "terms": "per user per month" }],
  "freeVersion": true,
  "freeTrial": true,
  "primaryCategory": "Unified Communications as a Service (UCaaS)",
  "categories": [{ "name": "Web and Video Conferencing", "slug": "web-conferencing", "url": "https://www.trustradius.com/categories/web-conferencing" }],
  "alternatives": [{ "name": "Microsoft Teams", "slug": "microsoft-teams", "url": "https://www.trustradius.com/products/microsoft-teams/reviews" }],
  "topPros": ["Easy to use", "Screen sharing"],
  "topCons": ["Free version", "Time limit"]
}

💰 Pricing

You pay $2.50 per 1,000 results ($0.0025 per saved row; product rows and review rows count the same). Platform usage (compute and the default datacenter proxy) is billed separately and is tiny: a typical 1,000-review job uses a fraction of a cent of each.

Worked example: 1 product with 1,000 reviews = 1,001 rows ≈ $2.50 plus a few tenths of a cent of usage. Set a maximum cost per run in the run options and the actor stops cleanly when it is reached.

❓ FAQ

Is it legal to scrape TrustRadius? The actor only reads publicly visible review and product data and does not collect reviewer names or profile links. Check that your use complies with TrustRadius's terms and with privacy laws such as the GDPR in your jurisdiction.

Do I need a TrustRadius account or my own proxy? No. No login is used, and the built-in datacenter proxy is enough. Residential addresses are only used automatically if datacenter requests are refused.

How many reviews can I get? All published reviews of a product (for example, over 6,000 for Miro). Categories and keywords return as many products as you ask for, up to what TrustRadius lists.

Why is a field empty? Reviewers answer different questions, and older reviews use older templates. Missing answers are null or empty lists; extra questions appear in otherAnswers.

Why are keyword results not the most popular products? Keyword search follows TrustRadius's own relevance order, which favours product names. To get the top products of a market, use a category URL (ordered by number of reviews).

Can I schedule runs or use the API? Yes. Schedule the actor, call it via the API, and combine publishedAfter (for example 7 days) with newest-first order to collect only new reviews.

⚠️ Limits

• Reviewer names, job titles, company names and profile links are not collected.
• Review filters (stars, company size, dates) are applied while reading, so a narrow filter on a very large product reads every review page before finishing.
• Feature-rating names come from the product's rated features; a rare feature without a product-level rating has only its featureId.
• Category listings are ordered by review count; TrustRadius's on-page category ranking may differ.
• With highest / lowest rated order, reviews are grouped by score; within the same score the order follows TrustRadius's own pages.
• Video reviews, vendor responses and comment threads are not included.
• Keyword search reaches at most about 5,000 products per keyword: TrustRadius stops paging its search there.