Pricing

$150.00 / 1,000 business analyzeds

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Multi-Review Scraper — Trustpilot & BBB in One Run

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Multi Review Scraper. Available on the Apify Store with pay-per-event pricing.

Pricing

$150.00 / 1,000 business analyzeds

Rating

0.0

(0)

Developer

Ryan Clinton

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

Record Type

recordType

Optional

Stable discriminator: 'review' (per-review record), 'summary' (per-business reputation decision), 'benchmark' (cohort ranking), or 'error'.

Type:string | null

Schema Version

schemaVersion

Optional

Output contract version (additive within a major version).

Type:string | null

Platform

platform

Optional

Review source platform (trustpilot, bbb)

Type:string | null

Example:trustpilot

Business Name

businessName

Optional

Name of the reviewed business

Type:string | null

Business Domain

businessDomain

Optional

Business domain (summary records)

Type:string | null

Reviewer Name

reviewerName

Optional

Name of the reviewer

Type:string | null

Rating

rating

Optional

Star rating (1-5)

Type:number | null

Title

title

Optional

Review title

Type:string | null

Body

body

Optional

Review text

Type:string | null

Date

date

Optional

Review date

Type:string | null

Verified

verified

Optional

Whether the review is verified

Type:boolean | null

Language

language

Optional

Review language code (Trustpilot)

Type:string | null

Sentiment

sentiment

Optional

Deterministic sentiment of the review: positive, neutral, or negative.

Type:string | null

Sentiment Score

sentimentScore

Optional

Sentiment score from -1 (most negative) to 1 (most positive).

Type:number | null

Themes

themes

Optional

Stable theme codes detected in the review (customer-service, delivery-shipping, product-quality, refund-returns, pricing-value, communication, billing-charges, reliability, ease-of-use, trust-scam, speed).

Type:

Is Complaint

isComplaint

Optional

Whether the review reads as a complaint.

Type:boolean | null

Is Praise

isPraise

Optional

Whether the review reads as praise.

Type:boolean | null

Severity

severity

Optional

Complaint severity for negative reviews: critical, high, medium, low (null for non-complaints).

Type:string | null

Recency (days)

recencyDays

Optional

Days since the review was published.

Type:number | null

Is Recent

isRecent

Optional

Whether the review is within the last 90 days.

Type:boolean | null

Decision

decision

Optional

Top-level routing scalar for the business: engage, review, caution, avoid, or insufficient-data.

Type:string | null

Reputation Score

reputationScore

Optional

Composite 0-100 reputation score (summary records).

Type:number | null

Reputation Verdict

reputationVerdict

Optional

Banded verdict: excellent, strong, mixed, poor, critical.

Type:string | null

Recommendation

recommendation

Optional

Action recommendation: safe-to-engage, generally-positive, proceed-with-caution, due-diligence-required, avoid, insufficient-data.

Type:string | null

Risk Level

riskLevel

Optional

Overall reputation risk: low, medium, high, critical.

Type:string | null

Risk Flags

riskFlags

Optional

Stable risk flag codes (THIN_DATA, HIGH_NEGATIVE_SHARE, SCAM_COMPLAINTS, REFUND_COMPLAINT_CLUSTER, LOW_VERIFIED, STALE_DATA, CROSS_PLATFORM_DIVERGENCE).

Type:

Sentiment Breakdown

sentimentBreakdown

Optional

Counts of positive / neutral / negative reviews plus net sentiment.

Type:

Complaint Rate

complaintRate

Optional

Share of reviews that read as complaints (0-1).

Type:number | null

Top Complaint Themes

topComplaintThemes

Optional

Most common themes among complaints, with counts.

Type:

Top Praise Themes

topPraiseThemes

Optional

Most common themes among positive reviews, with counts.

Type:

Trust Signals

trustSignals

Optional

Verified share, recent share, review volume, and platforms found.

Type:

Cross-Platform

crossPlatform

Optional

Whether platforms agree, the rating spread, and a plain-English note.

Type:

Confidence

confidence

Optional

Confidence in the reputation decision (score, level, components, cold-start flag).

Type:

Why This Matters

whyThisMatters

Optional

Plain-English explanation of the reputation decision.

Type:string | null

Summary

summary

Optional

One-line plain-English reputation summary.

Type:string | null

Recommended Action

recommendedAction

Optional

Wire-compatible action object (actionId + label).

Type:

Agent Contract

agentContract

Optional

Compact decision surface for agent/MCP consumers.

Type:

Temporal

temporal

Optional

Cross-run reputation trend (only when a watchlist is set).

Type:

Coverage

coverage

Optional

Requested vs found platforms and reviews scraped.

Type:

Warnings

warnings

Optional

Actionable warnings (e.g. a platform restricted automated access, or no reviews found).

Type:

Industry

industry

Optional

Industry lens applied (generic / saas / ecommerce / hosting / telecom / logistics / finance).

Type:string | null

Analysis Type

analysisType

Optional

The job preset applied (general / vendor-screening / lead-qualification / competitive-analysis / reputation-monitoring / investment-due-diligence).

Type:string | null

Vendor Risk Score

vendorRiskScore

Optional

0-100 composite vendor risk (higher = riskier) — the numeric backing of procurementTier, blending trust, reputation, and deterioration. Trust-weighted for screening/due-diligence analysis types.

Type:number | null

Procurement Tier

procurementTier

Optional

Traffic-light procurement verdict: green / yellow / red / blacklist / insufficient-data. Banded from vendorRiskScore (scam present + high risk = blacklist).

Type:string | null

Investigation Priority

investigationPriority

Optional

What to investigate first: high / medium / low / insufficient-data, from vendor risk + deterioration + risk level.

Type:string | null

Deterioration Risk

deteriorationRisk

Optional

0-100 early-warning composite of recent-negative growth, complaint acceleration, trust gap, and freshness decline. Answers 'are they getting worse?'. Null when temporal signal is thin.

Type:number | null

Deterioration Level

deteriorationLevel

Optional

low / medium / high / critical band of deteriorationRisk.

Type:string | null

Deterioration Drivers

deteriorationDrivers

Optional

The components that sum to deteriorationRisk: {factor, impact} point contributions — answers 'why is the score N?'.

Type:

Vendor Risk Breakdown

vendorRiskBreakdown

Optional

How vendorRiskScore was composed: weighted trust / reputation / deterioration components + the weights used.

Type:

Trust Gap

trustGap

Optional

reputationScore minus trustworthinessScore. Large positive = customers like the product but serious trust issues exist.

Type:number | null

Customer Recovery

customerRecovery

Optional

Company-response behaviour (Trustpilot only): responseRate, negativeResponseRate, avgResponseDays, and a customerRecoveryScore (does the business answer complaints, and quickly?).

Type:

Vendor Risk Profile

vendorRiskProfile

Optional

Per-category risk (trustRisk / serviceRisk / billingRisk / fulfilmentRisk / qualityRisk), each { level, count, share, examples } or null — the level plus the evidence behind it.

Type:

Portfolio Rollup

portfolio

Optional

Benchmark records: highestRisk, fastestDeterioration, recommendedAudit[], safeToProceed[] across the businesses in the run.

Type:

Trust Drivers

trustDrivers

Optional

Numeric drivers behind the trustworthiness score: {factor, impact} with signed point impacts.

Type:

Complaint Lifecycle

complaintLifecycle

Optional

Per complaint theme, a lifecycle stage: emerging / growing / established / critical / declining.

Type:

Procurement Action

procurementAction

Optional

Plain-English next step for the procurement tier.

Type:string | null

Decision Package

decisionPackage

Optional

The single action object automation reads: { decision, reason, nextAction, estimatedRisk }.

Type:

Due Diligence Checklist

dueDiligenceChecklist

Optional

Deterministic, procurement-ready checklist of next steps generated from the elevated risk categories.

Type:

Risk Evidence

riskEvidence

Optional

Per risk flag: count, share, and up to two example review snippets that triggered it. Makes the scoring explainable.

Type:

Emerging Risks

emergingRisks

Optional

Complaint themes that are rising now but were not historically prominent (what is becoming a problem).

Type:

Freshness-Adjusted Score

freshnessAdjustedScore

Optional

Reputation score with recent reviews weighted higher than old ones. Compare to legacyScore to spot a recent decline.

Type:number | null

Legacy Score

legacyScore

Optional

All-time reputation score (no recency weighting). Same as reputationScore before any freshness adjustment.

Type:number | null

Freshness Gap

freshnessGap

Optional

legacyScore minus freshnessAdjustedScore. Positive = recent reviews are worse than the all-time average.

Type:number | null

Executive Summary

executiveSummary

Optional

Deterministic templated paragraph composing the reputation verdict, momentum, complaint acceleration, trust, and recommendation.

Type:string | null

Trustworthiness Score

trustworthinessScore

Optional

0-100 trust axis (scam/fraud/billing/critical-complaint density), distinct from reputation (quality + sentiment).

Type:number | null

Trustworthiness Level

trustworthinessLevel

Optional

high / medium / low / critical.

Type:string | null

Trust Factors

trustFactors

Optional

Plain-English drivers behind the trustworthiness score.

Type:

Rating Distribution

ratingDistribution

Optional

Per-star counts (1-5) plus polarizationScore (% of reviews at the 1 or 5 star extremes).

Type:

Reputation Pillars

reputationPillars

Optional

Per-pillar sentiment scores (customer service / delivery / billing / product quality / communication / value / trust) plus strongest, weakest, and industry-priority pillars.

Type:

Review Momentum

reviewMomentum

Optional

Within-run review and negative-review flow over the last 30 vs prior 30 days, with a direction (rising-complaints / easing / steady).

Type:

Theme Acceleration

themeAcceleration

Optional

Per complaint theme: last-30-day vs prior-30-day counts and acceleration %. Early-warning signal.

Type:

Incident / Shock

incident

Optional

Detected reputation shock (a complaint theme spiking hard in the last 30 days), with magnitude and likely driver.

Type:

Theme Correlations

themeCorrelations

Optional

Complaint themes that co-occur in reviews (root-cause intelligence).

Type:

Authenticity

authenticity

Optional

Deterministic review-manipulation signals (review-burst, suspicious 5-star clustering, duplicate text) and an overall risk band. Not a fake-review verdict — pattern signals only.

Type:

Business Risks

businessRisks

Optional

Exec-language risk categories (refund-billing-risk / service-risk / fulfilment-risk / trust-risk / quality-risk).

Type:

Primary Business

primaryBusiness

Optional

Benchmark records: the primary business the cohort is compared around.

Type:string | null

Ranking

ranking

Optional

Benchmark records: businesses ranked by reputation score with rank and cohort percentile.

Type:

Cohort Average

cohortAverage

Optional

Benchmark records: average reputation score across the supplied businesses (not an industry baseline).

Type:number | null

Platforms

platforms

Optional

Per-platform summary (found, avgRating, totalReviews, reviewsScraped).

Type:

Overall Average Rating

overallAvgRating

Optional

Average rating across all scraped reviews.

Type:number | null

Total Reviews Scraped

totalReviewsScraped

Optional

Total reviews extracted across platforms.

Type:number | null

Extracted At

extractedAt

Optional

Extraction timestamp

Type:string | null

Error

error

Optional

True on error records.

Type:boolean | null

Failure Type

failureType

Optional

Classifier for error records (invalid-input, scrape-error).

Type:string | null

Message

message

Optional

Error message.

Type:string | null

Other properties may be included.

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