RGPD_PRO - GDPR Compliance Scanner with Fine Estimates avatar
RGPD_PRO - GDPR Compliance Scanner with Fine Estimates

Pricing

from $0.01 / 1,000 results

Go to Apify Store
RGPD_PRO - GDPR Compliance Scanner with Fine Estimates

RGPD_PRO - GDPR Compliance Scanner with Fine Estimates

Forensic GDPR scanner. Detects violations, estimates fines from 2,091 real EU sanctions, provides ROI-driven remediation plans in less than 2 minutes.

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Julien Escrouzailles

Julien Escrouzailles

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

Share

πŸ›‘οΈ RGPD_PRO - Professional GDPR Compliance Scanner

Forensic-grade GDPR compliance scanner with ROI calculation based on 2,091 real European sanctions.

πŸ’° $24.99 per scan


πŸš€ Quick Start

  1. Enter your website URL
  2. Add company details (revenue, employees, sector) - optional but recommended
  3. Click Run - completes in 2-3 minutes
  4. Get your interactive HTML report with violations, fine estimates, and remediation plan

🎯 What You Get

  • πŸ“Š Interactive HTML Report - Violations, risk assessment, remediation roadmap
  • πŸ’° ROI Analysis - Investment costs vs. risk avoided based on real European sanctions
  • βš–οΈ Fine Estimates - Min/Median/Max ranges from 2,091 actual GDPR cases
  • πŸ“‹ Action Plan - Phased remediation timeline with detailed cost breakdowns
  • πŸ”¬ Forensic Evidence - Legal-grade proof collection (optional)

⚠️ IMPORTANT DISCLAIMERS

RGPD_PRO is a technical analysis tool, NOT a substitute for legal counsel.

This tool provides technical violation detection and statistical fine estimates. It does NOT provide legal advice, guaranteed fine predictions, or compliance certification.

Always consult a qualified GDPR lawyer for compliance matters and regulatory interactions.

Fine Estimates Are Statistical Projections

Fine estimates are based on analysis of 2,091 historical European GDPR sanctions using similarity matching algorithms.

However:

  • Actual fines depend on regulatory discretion, cooperation, mitigation efforts, and specific circumstances
  • Each Data Protection Authority has different enforcement priorities
  • Historical patterns may not predict future regulatory behavior
  • Margin of error: Β±30% or more

Treat estimates as indicative ranges, not precise predictions.

No Liability

The developer assumes NO LIABILITY for:

  • Accuracy of fine estimates or completeness of violation detection
  • Business decisions made based on this report
  • Regulatory outcomes or actual fines imposed
  • Any damages, losses, or legal consequences resulting from use of this tool

Use at your own risk.

Detection Limitations

This tool scans publicly accessible website elements only:

What we scan:

  • Homepage and cookie/consent mechanisms
  • Network traffic and trackers
  • Client-side JavaScript

What we DON'T scan:

  • Authenticated areas, backend systems, databases
  • GDPR rights implementation (access, deletion, portability)
  • Third-party processor agreements

A clean scan does NOT mean full GDPR compliance.


πŸ“₯ Input Configuration

Required Fields

FieldTypeDescription
Website URLStringWebsite to scan (e.g., https://example.com)
Scan ModeSelectStandard (HTML) or Forensic (ZIP with evidence)
FieldTypeDefaultDescription
Annual Revenue (€)Number1,000,000For accurate fine calculation (4% GDPR rule)
EmployeesNumber50Organization size indicator
SectorSelectE-commerceFor jurisprudential matching

Available Sectors:

  • E-commerce / Retail
  • Banking / Finance / Insurance
  • Healthcare / Medical
  • Tech / SaaS / IT
  • Media / Publishing
  • Other

πŸ“€ Output

Standard Mode (HTML Report)

Executive Summary

  • Risk level (LOW β†’ CRITICAL)
  • Total violations detected
  • Estimated fine range (€)
  • Recommended investment (€)
  • Expected ROI (%)

Violations Analysis

  • 12+ violation categories
  • Technical evidence
  • Legal references (GDPR articles)
  • Severity assessment

Jurisprudential Risk

  • Top matching European sanctions
  • Similarity scores
  • Fine range calculations
  • Reference case details

Remediation Plan

  • Phased timeline (30-180 days)
  • Action items with costs
  • Internal/External resource breakdown
  • Tool recommendations

Forensic Mode (Evidence ZIP)

For legal proceedings:

  • Network traffic (HAR files)
  • DOM snapshots
  • Screenshot evidence
  • Timeline with timestamps
  • Chain of custody
  • Cryptographic verification

πŸ“Š Detection Capabilities

12+ Violation Categories

βœ… Tracking Without Consent - Cookies/trackers before user approval
βœ… Consent Mechanism Flawed - Pay-or-okay walls, forced consent
βœ… Security Breach - Inadequate data protection
βœ… Privacy Policy Deficient - Missing or incomplete policy
βœ… Data Transfer Violations - Illegal international transfers
βœ… Rights Requests Ignored - GDPR rights not implemented
βœ… Data Retention Excessive - Data kept too long
βœ… DPO Issues - Missing or non-compliant DPO
βœ… Third Party Oversight - Uncontrolled processors
βœ… DPIA Missing - No impact assessment
βœ… Lawful Basis Absent - No legal ground for processing
βœ… Fingerprinting - Canvas, WebGL, Audio, Font enumeration

Advanced Detection

CMP Analysis - Didomi, OneTrust, Cookiebot, Quantum Metric
Dark Patterns - Deceptive UI, hidden reject buttons
Zombie Cookies - Cross-storage resurrection
Consent Walls - Pay-or-okay violations (€42M+ risk)


πŸ’Ό Real-World Examples

Small E-Commerce

{
"url": "https://smallshop.com",
"company_revenue": 500000,
"company_employees": 12,
"company_sector": "ecommerce"
}

Result: 5-8 violations | €25K-€75K fine risk | €35K investment | 60 days | ROI 2:1

Large Media Company

{
"url": "https://newspaper.com",
"company_revenue": 300000000,
"company_employees": 500,
"company_sector": "media"
}

Result: 15-25 violations | €15M-€85M fine risk | €450K investment | 180 days | ROI 93:1

Tech Startup

{
"url": "https://startup.io",
"company_revenue": 2000000,
"company_employees": 25,
"company_sector": "technology"
}

Result: 5-10 violations | €25K-€150K fine risk | €45K investment | 90 days | ROI 1.3:1

Real Case: European Data Protection Authority

A scan of a major European DPA website revealed:

  • Violations: 12 (including illegal 'pay or okay' consent wall)
  • Fine risk: €5.3M - €16.1M - €520M
  • Remediation cost: €106K
  • ROI: 15,101%

πŸ’‘ Use Cases

Compliance Teams

  • Pre-audit risk assessment
  • Vendor compliance verification
  • Continuous monitoring

Legal Teams

  • Evidence collection for proceedings
  • Fine risk quantification
  • Remediation planning

Developers

  • Pre-launch compliance check
  • Cookie banner validation
  • Tracker audit

Consultants & DPOs

  • Client compliance reports
  • ROI-justified recommendations
  • Benchmark analysis

πŸ”¬ Transparent Methodology - No Black Box

How Fine Estimates Work

1. Case Database Search

We search 2,091 European GDPR sanctions for similar cases:

similarity_score =
0.4 Γ— violation_type_match +
0.3 Γ— sector_match +
0.2 Γ— company_size_match +
0.1 Γ— jurisdiction_match

Only cases with similarity β‰₯ 70% are used.

2. Baseline Fine (Median)

We use the median to avoid outlier bias:

baseline_fine = median([similar_cases_fines])

3. Aggravating Factors

FactorFormulaRange
Deployment1.0 + (users / 10M) Γ— 0.51.0x - 1.5x
Sector1.0 + sensitivity Γ— 0.31.0x - 1.3x
Revenue1.0 + log10(revenue / 1M) Γ— 0.21.0x - 2.0x
Employees1.0 + (employees / 1000) Γ— 0.51.0x - 1.5x
combined_multiplier = deployment Γ— sector Γ— revenue Γ— employees

4. Adjusted Fine Range

adjusted_median = baseline Γ— combined_multiplier
adjusted_min = percentile_25 Γ— combined_multiplier
adjusted_max = percentile_75 Γ— combined_multiplier

5. Confidence Score

confidence = (
cases_count Γ— 30% +
avg_similarity Γ— 25% +
consistency Γ— 20% +
recency Γ— 15% +
jurisdiction Γ— 10%
) Γ— 100

Full methodology detailed in each report - every number is explainable and auditable.


πŸ“ˆ Data Sources

Sanctions Database (2,091 cases):

  • CNIL (France) - 847 cases
  • ICO (UK) - 423 cases
  • AEPD (Spain) - 312 cases
  • Garante (Italy) - 198 cases
  • DSB (Austria) - 145 cases
  • 15+ other European DPAs

Updated monthly

Cost Benchmarks:

  • Syntec NumΓ©rique - IT services rates
  • AFCDP - DPO compensation surveys
  • Gartner/Forrester - GDPR solution pricing
  • Market research - Compliance project costs

⏱️ Performance

  • Average Scan Time: 2-3 minutes
  • Success Rate: 99.2%
  • Memory Usage: ~2GB
  • Detection Rate: 95%+ for common violations
  • False Positive Rate: < 5%

❓ FAQ

Q: Is this legally admissible?
A: Forensic mode provides chain-of-custody evidence designed for legal proceedings. Admissibility depends on jurisdiction. Consult your legal counsel.

Q: How accurate are fine estimates?
A: Based on 2,091 real sanctions with Β±30% margin. Actual fines depend on regulatory discretion.

Q: Can I scan competitor websites?
A: Yes, scans only public information.

Q: What if my site has no violations?
A: You get a compliance certificate report.

Q: How often should I scan?
A: Monthly for high-risk sectors, quarterly for others, or after major changes.

Q: What's the difference between Standard and Forensic?
A: Standard = HTML report only. Forensic = full evidence package for legal proceedings.


🎯 Key Features

βœ… 2,091 Real Sanctions - Complete European GDPR database
βœ… 12+ Violation Types - Comprehensive detection
βœ… ROI-Driven Plans - Investment vs. risk avoided
βœ… Forensic Evidence - Legal-grade proof collection
βœ… Smart Matching - > 85% similarity scoring
βœ… Phased Timelines - 30-180 day roadmaps
βœ… Transparent Methodology - Every number explainable
βœ… Fast Results - 2-3 minutes average


πŸ†˜ Support

Issues? Report via Apify support or contact the developer.


πŸ“Έ Report Preview

Executive Summary Dashboard

Executive Summary - Risk assessment, fine estimates, ROI calculation

Professional dashboard showing:

  • Risk level classification (LOW to CRITICAL)
  • Estimated fine range (€ min/median/max)
  • Required investment with ROI percentage
  • Implementation timeline (months)
  • Company context (revenue, employees, sector)

Violations Detection with Evidence

Detailed violations with technical evidence

Each violation includes:

  • Severity badge (INFO, HIGH, CRITICAL)
  • Technical evidence with timestamps
  • Legal references (GDPR articles, CJUE rulings)
  • Expandable technical details with JSON proof

Remediation Priority Matrix

Impact/Effort prioritization matrix

Strategic roadmap with:

  • Quick Wins (high impact, low effort)
  • Strategic Investments (high impact, high effort)
  • Actions to avoid (low impact, high effort)
  • ROI calculation per action

Gantt Timeline

Phased implementation timeline

Visual project planning:

  • Phase-by-phase breakdown
  • Duration in weeks
  • Dependencies between actions
  • Color-coded by priority

Forensic Analysis

Technical forensic data and artifacts

Legal-grade evidence collection:

  • Scan duration and event count
  • HTTP requests analysis
  • Suspicious pattern detection
  • Generated artifacts (HAR, timeline, chain of custody)

Cookie detection and timeline events

Comprehensive tracking analysis:

  • All cookies detected (name, domain, security flags)
  • Timeline of violations with exact timestamps
  • Actor-by-actor tracking (who set what cookie when)
  • Phase detection (PRE_CMP = before consent)

Built for GDPR compliance professionals

Last updated: December 2024 | Version: 2.0 | Database: 2,091 cases