We extract software profiles, verified reviews, trScores, pros/cons, and alternative comparisons from TrustRadius. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Software Profiles objects from trustradius.com. All fields typed and schema-versioned.
"product_id": "p-4921", "product_name": "Salesforce Sales Cloud", "vendor_name": "Salesforce", "category": "CRM Software", "tr_score": 8.3, "total_reviews": 3412
| # | product_id | product_name | vendor_name | category | tr_score | total_reviews |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from trustradius.com. All fields typed and schema-versioned.
"review_id": "r-98421", "product_name": "Salesforce Sales Cloud", "reviewer_role": "Sales Director", "company_size": "1001-5000", "rating": 9, "likelihood_to_recommend": 9
| # | review_id | product_name | reviewer_role | company_size | rating | likelihood_to_recommend |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Feature Ratings objects from trustradius.com. All fields typed and schema-versioned.
"product_id": "p-4921", "feature_name": "Lead Management", "feature_category": "Sales Automation", "average_rating": 8.7, "rating_count": 2104, "scraped_at": "2023-10-12T08:00:00Z"
| # | product_id | feature_name | feature_category | average_rating | rating_count | top_positive_mention |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Alternatives objects from trustradius.com. All fields typed and schema-versioned.
"product_id": "p-4921", "compared_product_name": "HubSpot Sales Hub", "win_rate": 54.2, "feature_comparison_score": 8.5, "user_preference_pct": 61, "comparison_url": "https://www.trustradius.com/compare/..."
| # | product_id | compared_product_id | compared_product_name | win_rate | feature_comparison_score | user_preference_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories objects from trustradius.com. All fields typed and schema-versioned.
"category_id": "c-112", "category_name": "CRM Software", "total_products": 412, "top_rated_product": "Salesforce", "buyer_guide_text": "Customer Relationship Management...", "scraped_at": "2023-10-12T08:00:00Z"
| # | category_id | category_name | total_products | top_rated_product | trustmap_url | buyer_guide_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our TrustRadius scraper handles every layer of the platform: software profiles, verified reviews, trScores, and alternative comparisons - with JavaScript rendering and anti-bot circumvention built in.
Extract trScore, vendor details, pricing summaries, and category mappings for any B2B product.
Capture full-text pros, cons, use cases, ROI evaluations, and likelihood-to-recommend scores.
Extract company size, industry, and reviewer job title to segment sentiment by target market.
Map product positioning across TrustRadius TrustMaps to track market leaders and challengers.
Extract head-to-head comparison data, win rates, and user preference percentages.
Capture granular ratings for specific product features, usability, and customer support.
Monitor changes in overall product scores and review velocity over time.
Extract the full TrustRadius category tree to understand market segmentation and overlapping tools.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences.
Brief in. Clean data out.
Provide target categories, product lists, or vendor names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and anti-bot circumvention for trustradius.com.
Schema validation, null-rate checks, and review sampling before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
TrustRadius employs strict rate limiting and dynamic content loading. Here is how we maintain pipeline stability.
TrustRadius uses strict rate limiting and Cloudflare protection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass blocks.
TrustMaps and paginated reviews are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
TrustRadius updates its DOM structure frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
Products often appear in multiple categories. We maintain a hash index of reviews to ensure overlapping data is only processed once, reducing storage bloat and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, score outliers, and coverage drops - and respond before you notice.
Track competitor trScores, feature gaps, and negative sentiment to arm sales teams with kill sheets.
Analyse feature-level ratings across categories to identify market gaps and prioritise roadmap development.
Mine verified pros and cons to align marketing copy with actual user vocabulary and pain points.
PE firms track review velocity and sentiment shifts to evaluate B2B software targets.
Map category taxonomies and TrustMap positions to understand vendor consolidation and emerging niches.
IT procurement teams ingest aggregated review scores to evaluate software renewals and vendor risk.
"TrustRadius holds the most detailed, verified B2B software sentiment on the web - but it remains locked in HTML until you build the infrastructure to extract it."
Most teams underestimate the investment required: reliable TrustRadius scraping requires residential proxies, full JavaScript rendering for dynamic TrustMaps, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on product analysis - not the infrastructure.
Everything supported by our trustradius.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic profiles.
We maintain pools of residential ISP proxies to bypass Cloudflare and IP-based rate limiting. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About trustradius.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from TrustRadius is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. This bypasses standard Cloudflare protections and rate limiting.
Yes. You can provide a list of specific product URLs, vendor names, or entire category trees for us to crawl and extract.
Yes. We extract the full text for pros, cons, use cases, and ROI descriptions, structured as distinct fields in the final dataset.
Pipelines can be configured for weekly or monthly cadences depending on your needs. A full catalogue refresh typically completes within a 12-24 hour window.
Yes. We provide a sample run of up to 50 products or reviews as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off category dump or continuous sentiment monitoring across 10,000 B2B products - we scope, build, and operate the pipeline. Tell us what you need.
