TrustRadius Review Scraper

Extract verified B2B software reviews from TrustRadius product pages with pagination support. Collect detailed user reviews including ratings, pros and cons, reviewer information, and structured product data for market research and competitive analysis.

Features

• Product Data Extraction - Pull structured product information including total review count and product slug
• Full Review Collection - Extract review text, use cases, pros, cons, recommendation notes, ratings, and publication dates
• Rich Reviewer Firmographics - Capture reviewer name, country, job title, department, company industry, company size, and years of experience for B2B analysis
• Reliable Collection - Uses fast HTTP requests with mobile-style headers and fallback profiles
• Reviewer Insights - Capture author names, dates, experience, and detailed feedback for each review

Use Cases

Competitive Intelligence

Track how competing products are rated on TrustRadius. Compare review sentiment, common pros and cons, and overall satisfaction scores across similar software categories.

Market Research

Build comprehensive datasets of user feedback for specific software categories. Analyze trends in user satisfaction, feature requests, and common complaints to identify market opportunities.

Content Analysis

Study authentic user feedback to understand what users value most in different software categories. Extract common themes, use cases, and deployment scenarios from detailed B2B reviews.

Sales Intelligence

Equip sales teams with real user feedback data. Understand competitor weaknesses and strengths through authentic review content to refine positioning and messaging.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	Yes	-	Full TrustRadius product or reviews URL (e.g. https://www.trustradius.com/products/slack/reviews/all)
results_wanted	Integer	No	20	Maximum number of reviews to collect
proxyConfiguration	Object	No	Disabled	Optional proxy fallback for reliable scraping

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Output Data

Each item in the dataset is an individual review record.

Field	Type	Description
recordType	String	Always "review"
productName	String	Name of the software product
productSlug	String	Product identifier
reviewCount	Integer	Total number of reviews available for the product
reviewSlug	String	Unique review slug
title	String	Review title
rating	String	Review rating on a 1-10 scale
ratingNormalized	Integer	Normalized rating value (0-10)
publishedDateText	String	Human-readable publication date
trusted	Boolean	Trust badge value
incentive	String	Incentive disclosure
reviewSource	String	Review source classification
author	String	Reviewer full name
authorFirst	String	Reviewer first name
authorLast	String	Reviewer last name
reviewerJobTitle	String	Reviewer position title
reviewerJobType	String	Reviewer job type
reviewerDepartment	String	Reviewer department
companyName	String	Reviewer company name
companyIndustry	String	Reviewer company industry
companySize	String	Reviewer company size
yearsExperience	Integer	Years of experience using the product
isVerified	Boolean	Whether reviewer verification is present
verifiedBy	String	Verification source
useCases	String	Full use case and deployment scope text
pros	Array	Pros listed by the reviewer
cons	Array	Cons listed by the reviewer
likelihoodToRecommend	String	Full recommendation text
publishedDate	String	Review publication date (ISO)
url	String	Direct review URL

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Usage Examples

Basic Review Extraction

Extract reviews from any TrustRadius product page:

{
  "startUrl": "https://www.trustradius.com/products/slack/reviews/all",
  "results_wanted": 50
}

Using a Different Product

{
  "startUrl": "https://www.trustradius.com/products/asana/reviews/all",
  "results_wanted": 100
}

With Proxy Configuration

{
  "startUrl": "https://www.trustradius.com/products/miro/reviews",
  "results_wanted": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "recordType": "review",
  "productName": "Apify",
  "productSlug": "apify",
  "reviewCount": 122,
  "reviewSlug": "apify-2026-05-25-10-50-41",
  "title": "highly recommended for web scraping",
  "rating": "10/10",
  "ratingNormalized": 10,
  "publishedDate": "2026-05-29T17:01:22.186Z",
  "publishedDateText": "May 29, 2026",
  "trusted": false,
  "incentive": "No",
  "reviewSource": "VendorSourced",
  "author": "Matthias Werner",
  "authorFirst": "Matthias",
  "authorLast": "Werner",
  "reviewerJobTitle": "CRM Specialist",
  "reviewerJobType": "Engineer",
  "reviewerDepartment": "Other",
  "companySize": "1-10 employees",
  "yearsExperience": 1,
  "useCases": "Web scraping of social data for a data product. It makes it easy to scrape data without the need of cumbersome and extensive maintenance.",
  "pros": ["Scraping data from YouTube", "Scraping data from Facebook", "Scraping data from Tiktok"],
  "cons": ["Pricing could be a bit more intuitive or pure pay-as-you-go"],
  "likelihoodToRecommend": "I think Apify is very well suited for standardized data scraping or data extraction use cases.",
  "url": "https://www.trustradius.com/reviews/apify-2026-05-25-10-50-41",
  "source": "html-flight"
}

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Tips for Best Results

Choose Valid Product URLs

• Use direct product review URLs like https://www.trustradius.com/products/{slug}/reviews/all
• Verify the product page exists and has reviews before running at scale
• Product slugs are typically the URL-friendly version of the product name

Optimize Collection Size

• Start with small test runs of 10-20 reviews to verify extraction quality
• Increase results_wanted for production data collection
• Increase results_wanted to collect additional review pages

Proxy Configuration

• Use Apify Residential proxies for reliable access to TrustRadius
• Higher concurrency may require more proxy rotation
• Default proxy configuration uses datacenter proxies for cost efficiency

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Integrations

Connect your data with:

• Google Sheets - Export review data for collaborative analysis
• Airtable - Build searchable review databases
• Slack - Get notifications when new review data is collected
• Make - Create automated workflows with review data
• Zapier - Trigger actions based on collection results

Export Formats

• JSON - For developers and API integration
• CSV - For spreadsheet analysis and reporting
• Excel - For business reporting and presentations
• XML - For system integrations

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Frequently Asked Questions

How many reviews can I collect?

You can collect all available reviews for any product by increasing results_wanted.

Can I scrape multiple products?

Yes, provide each product URL in separate runs or configure multiple runs through Apify schedules. Each run processes one product URL at a time.

Why use TrustRadius review data?

TrustRadius hosts in-depth B2B software reviews (400+ words) with rich reviewer firmographics including company size, industry, job title, and years of experience.

What data fields are extracted?

The actor extracts product information and review details including title, use cases, pros, cons, recommendation text, rating, author, company details, and date.

Does this actor require a browser?

No. The actor uses HTTP requests and parses TrustRadius's structured page payload, so it stays fast and lightweight. A proxy is optional and only used when you provide one.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with TrustRadius terms of service and applicable laws. Use data responsibly and respect rate limits.