Pricing

from $150.00 / 1,000 business analyzeds

Trustpilot Review Analyzer — Sentiment, Trends & Response Rates

Scrape Trustpilot reviews for any business. Extract TrustScore, star ratings, review text, sentiment analysis, response rates, and keyword trends. No API key needed. Export JSON/CSV/Excel.

Pricing

from $150.00 / 1,000 business analyzeds

Rating

0.0

(0)

Developer

Ryan Clinton

Actor stats

Bookmarked

Total users

Monthly active users

9 days ago

Last modified

categories

Optional

Business categories assigned by Trustpilot

Type:

Website URL

websiteUrl

Optional

Business website URL from Trustpilot profile

Type:string | null

Rating Distribution

ratingDistribution

Optional

Count of star1-star5 reviews in scraped sample

Type:object | null

Rating Distribution %

ratingDistributionPercent

Optional

Percentage of star1-star5 reviews in scraped sample

Type:object | null

Average Rating

averageRating

Optional

Average rating from scraped reviews

Type:number | null

Response Rate %

responseRate

Optional

Percentage of reviews with company replies

Type:number | null

Avg Response Time (hours)

averageResponseTimeHours

Optional

Average hours between review publish and company reply

Type:number | null

Verified Rate %

verifiedRate

Optional

Percentage of verified purchase reviews

Type:number | null

Reviews Scraped

reviewsScraped

Optional

Number of reviews in the output (after filters)

Type:integer | null

Pages Failed

pagesFailed

Optional

Number of review pages that failed to load

Type:integer | null

Scraping Error

scrapingError

Optional

Error description if scraping failed for this business

Type:string | null

Sentiment Analysis

sentiment

Optional

Sentiment breakdown with positive/negative/neutral counts, percentages, and top keywords

Type:object | null

Sentiment By Rating

sentimentByRating

Optional

Top keywords broken out per star rating (1-5) — what 5-star reviewers praise vs what 1-star reviewers complain about

Type:object | null

Recent Sentiment (recency-weighted)

recentSentiment

Optional

Sentiment for reviews within the last 30 days only, with exponential-decay weighting (recent reviews count more). Surfaces shifts that aggregate sentiment may dilute.

Type:object | null

Reviews Per Day

reviewsPerDay

Optional

Review velocity computed from publish dates of scraped reviews. Useful for detecting review-bomb campaigns or sudden volume spikes.

Type:number | null

Response Quality

responseQuality

Optional

Average reply length, reply-to-review length ratio, and category (verbose/standard/terse). Goes beyond response rate to measure HOW well a business engages.

Type:object | null

Issue Clusters

issueClusters

Optional

Root-cause clusters from negative reviews via TF-IDF + cosine similarity. Each cluster has a label, severity, trend, top terms, example IDs, and sample headlines. Empty when fewer than 6 negative reviews or when clustering is disabled.

Type:

Confidence

confidence

Optional

Confidence in this record's signal strength: sample size + language coverage + data completeness. Includes a plain-English explanation. Use overall (0-1) for filtering, level (high/medium/low) for routing.

Type:object | null

Applied Scoring Weights

appliedScoringWeights

Optional

The normalized weights used to compute reputationGrade for this record. Auditable — users can re-weight downstream without re-running.

Type:object | null

Reputation Grade

reputationGrade

Optional

Letter grade A-F synthesized from TrustScore, response rate, and sentiment

Type:string | null

Reputation Score (0-100)

reputationScore

Optional

Numeric reputation score 0-100 (50 points TrustScore + 30 response rate + 20 sentiment)

Type:number | null

Competitive Standing

competitiveStanding

Optional

Rank, percentile, and TrustScore delta vs leader (only when 2+ businesses analyzed)

Type:object | null

Urgent Negatives

urgentNegatives

Optional

1-2 star reviews from the urgent lookback window (default last 7 days), sorted by recency

Type:

Authenticity Flags

authenticityFlags

Optional

Suspicious review count and average authenticity score from per-review heuristic signals

Type:object | null

Alerts Triggered

alertsTriggered

Optional

Threshold-based alerts when configured (TrustScore floor, response rate floor, response time ceiling, sentiment floor)

Type:

Trends

trends

Optional

Period-over-period deltas vs prior run (requires historyStoreName input). Direction: improving/stable/declining

Type:object | null

Keyword Spikes

keywordSpikes

Optional

Negative keywords with >50% increase in mentions vs prior run (requires history)

Type:

Priorities

priorities

Optional

Ranked decision actions with successMetric (which metric to watch) and expectedDirection (increase/decrease). Types: urgent-negatives, response-decline, competitor-gap, trust-drop, fake-review-flag, sentiment-spike, no-response-pattern. Use priorities[0].type for routing.

Type:

Executive Summary

executiveSummary

Optional

Compressed 4-field summary for execs/forwarding: situation, biggestRisk, whatToDoNow, expectedOutcome. Null when business not found.

Type:object | null

Customer Journey Breakdown

journeyBreakdown

Optional

Reviews classified by lifecycle stage (pre-purchase, onboarding, support, billing, delivery, product, post-sale) via keyword regex. Includes weakestStage and strongestStage. Null when no reviews matched any stage.

Type:object | null

Risk Forecast (linear projection)

riskForecast

Optional

Linear extrapolation of TrustScore over historical snapshots. Includes trustScoreProjection, riskOfDrop (high/medium/low/unknown), reason, timeHorizonDays, methodology. Activates after 3+ history snapshots. NOT a probabilistic forecast.

Type:object | null

Reviews

reviews

Optional

Individual review data with rating, text, author, sentiment, and company reply info

Type:array

Analyzed At

analyzedAt

Optional

ISO timestamp of analysis completion

Type:string

Other properties may be included.

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