Tutorial · 8 min read

Export TrustRadius Reviews to CSV & Excel

Pull verified B2B reviews — complete with feature-level ratings, likelihood-to-recommend scores, and rich firmographics — into a clean spreadsheet in a couple of clicks.

TrustRadius is one of the most rigorous B2B review platforms on the web. Reviewers are identity-verified, frequently through LinkedIn, reviews are long-form and structured, and each one carries detail you simply will not find elsewhere: feature-by-feature ratings, an NPS-style likelihood-to-recommend score, and rich firmographics. That makes the data gold for enterprise vendor selection, competitive positioning, and win/loss research — if you can get it out of the browser and into a tool where you can actually slice it.

That is exactly what the TrustRadius Reviews Exporter does. It reads the reviews on a product page and writes them to a CSV or Excel file with every field preserved as its own column — no copy-paste, no scraping scripts, no manual cleanup. This guide walks through the export and then shows the TrustRadius-specific analysis the structured data unlocks.

What gets exported from TrustRadius

Each review becomes one row. Because TrustRadius reviews are far more structured than a typical star-and-text review, the export captures several columns you will not see on other platforms:

rating — the overall score the reviewer gave
review_text — the full long-form review body
review_date — when the review was published
reviewer_title — the reviewer's job role
company_size — employee band of the reviewer's organization
industry — the vertical the reviewer operates in
use_case — how the product is used in practice
likelihood_to_recommend — the 0–10 NPS-style score
feature_ratings — sub-scores for implementation, training, support, and performance

Sample CSV header

Open the export in Excel, Google Sheets, or your BI tool of choice and you will see columns like these:

rating,review_text,review_date,reviewer_title,company_size,industry,use_case,likelihood_to_recommend,feature_ratings

Export TrustRadius reviews in 3 steps

1. Install the extension

Open the TrustRadius Reviews Exporter on the Chrome Web Store and click Add to Chrome. It installs in seconds and pins to your toolbar. No account or sign-up is required.

2. Navigate to a product's reviews

Go to any product's reviews tab. The URL follows the pattern trustradius.com/products/[product]/reviews. Let the page load and scroll through a few reviews so the content is present before you export.

3. Export to CSV or Excel

Click the extension icon and choose Export. It collects the reviews on the page, builds the structured columns above, and downloads a ready-to-open .csv or .xlsx file. That is it.

TrustRadius-specific tips and quirks

Verified reviewers mean trustworthy data

TrustRadius verifies reviewer identity, often through LinkedIn, before a review goes live. Combined with the long-form, structured format, this makes the exported data unusually reliable for serious B2B research — you are not sifting through anonymous one-liners.

Feature-level ratings you cannot get elsewhere

The feature_ratings column breaks satisfaction down into implementation, training, support, and performance. This is rare on review sites and lets you pinpoint exactly where a product wins or loses, not just an aggregate star count.

An NPS-style score on every review

Every review carries a likelihood_to_recommend value from 0 to 10. Treat it exactly like an NPS response: 9–10 are promoters, 7–8 passives, 0–6 detractors. No other field on a typical review site maps so cleanly onto a loyalty metric.

Rich firmographics enable precise segmentation

Because company_size, industry, and reviewer_title ship as their own columns, you can slice sentiment by exactly the segment you care about — enterprise vs SMB, finance vs healthcare, admin vs end user.

Best for procurement and positioning

Given the depth and verification, TrustRadius data shines in enterprise procurement evaluations and competitive positioning work — contexts where credibility and segment detail matter more than raw review volume.

Turn TrustRadius reviews into insights

Recipe 1 — Build an NPS-style breakdown

Bucket the likelihood_to_recommend column with COUNTIFS: promoters scoring 9–10, passives 7–8, detractors 0–6. Subtract the detractor share from the promoter share for a quick NPS-style read on the product, then do the same for a competitor and compare.

Recipe 2 — Pivot feature ratings by company size

Build a pivot table with company_size on rows and the implementation score from feature_ratings as the value. You will often find SMB and enterprise rate implementation very differently — a signal worth surfacing in onboarding plans and sales conversations.

Recipe 3 — Segment average rating by industry

Group rating by industry to find your strongest verticals. The industries that rate you highest are the ones to lead with in case studies, vertical landing pages, and outbound messaging.

Who uses exported TrustRadius reviews

Procurement & IT buyers

Compare shortlisted vendors on verified feature ratings and likelihood-to-recommend, filtered to companies your size, to de-risk an enterprise purchase.

Competitive intelligence

Build battlecards segmented by company size and industry, citing real feature-level strengths and weaknesses pulled straight from reviews.

Product marketing

Identify your strongest verticals from industry-level ratings and craft vertical positioning that mirrors how customers actually describe the value.

Win/loss & CX teams

Mine detractor reviews and low feature scores to understand why deals slip and where the product experience needs investment.

Frequently Asked Questions

Does it capture feature-level ratings and likelihood-to-recommend?

Yes. Both the feature_ratings sub-scores and the 0–10 likelihood_to_recommend value are exported as their own columns.

Does it include firmographics like company size and industry?

Yes, when present on the review. company_size, industry, and reviewer_title each map to a dedicated column.

Are the reviewers verified?

TrustRadius verifies reviewer identity, frequently through LinkedIn, before publishing. That verification is part of why the exported data is so well suited to high-stakes B2B decisions.

How many reviews can I export?

Hundreds to thousands, depending on how many reviews a product has. Larger products with deep review histories export just as cleanly as small ones.

Do I need a TrustRadius account?

No. The exporter reads the public reviews already on the page — no login, sign-up, or API key needed.

Ready to export TrustRadius reviews?

Install the exporter and turn verified B2B reviews into a structured spreadsheet in under a minute.

Get the TrustRadius Reviews Exporter

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