CFPB & NHTSA Consumer Complaints & Safety Defect Leads Scraper ($1.50 / 1K)

Extract verified consumer financial complaints, regulatory disputes, automotive safety defects, crashes, fires, and manufacturer response timelines across two federal agencies: the Consumer Financial Protection Bureau (CFPB) and National Highway Traffic Safety Administration (NHTSA).

Designed specifically for class action litigation firms, product liability attorneys, risk analysts, compliance directors, automotive researchers, and brand reputation monitors, this Actor eliminates manual government portal lookups and expensive data aggregators by querying official public endpoints directly:

1. CFPB Consumer Complaint Database API — Over 18.8 million public financial dispute records against banks, fintechs, credit bureaus, lenders, and debt collectors. Built-in 6-header browser emulation completely bypasses Akamai GHost WAF restrictions with zero proxy costs.
2. NHTSA Vehicle Complaints API — Federal safety defect investigations, crash flags, vehicle fire indicators, injury/death counts, VINs, and defective components across vehicle makes and models.
3. Consumer Risk & Litigation Scoring (0–100) — Automatically scores complaints based on bodily harm, crash/fire presence, regulatory untimeliness, monetary relief, and severe consumer fraud narratives.

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Why Choose This Complaint & Defect Scraper? (Comparison)

Feature / Capability	This Actor	Manual Agency Search Portals	Generic Web Scrapers
Price per 1,000 Records	$1.50 / 1K ($0.0015/record)	Free (Manual copy-paste)	$5.00 – $20.00 / 1K + Proxies
Unified Cross-Agency Schema	✅ Both CFPB & NHTSA in 1 normalized feed	❌ 2 disparate federal websites	❌ Fragmented & breaks frequently
Akamai WAF Bypass (CFPB)	✅ Native browser header bundle (No 403s)	⚠️ CAPTCHA / rate-limited	❌ 403 Forbidden without proxies
Litigation & Risk Scoring (0–100)	✅ Automated severity & segment scoring	❌ None	❌ None
Crash, Fire & Fatality Flags	✅ Structured booleans & injury counts	⚠️ Hidden inside unstructured text	❌ Raw text only
Timely Regulatory Response Tracking	✅ Structured timely_response boolean	⚠️ Manual review	❌ Not normalized
Zero-Input Out-of-the-Box Run	✅ Instant 20 live records with zero config	❌ Requires form inputs	❌ Errors out on empty input
Proxy Cost & Failure Rate	$0.00 (0% proxy cost, unthrottled)	N/A	High residential proxy fees

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Transparent Pricing ($1.50 per 1,000 Records)

Billed exclusively via Pay-Per-Event on records actually delivered ($0.0015 per record). Zero recurring monthly fees:

Workflow Use Case	Records Delivered	Total Cost
Quick Validation / Test Run	20 records	$0.03 (3 cents)
Daily Class Action Lead Alert	~200 records/day	$0.30 / day (~$9/month)
Targeted Make/Model Defect Investigation	1,000 records	$1.50
Enterprise Financial Compliance Audit	10,000 records	$15.00

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High-Intent B2B Playbooks (Copy-Paste Inputs)

1. Class Action & Product Liability: Critical Automotive Safety Hazards

Filter NHTSA vehicle complaints for severe safety defects involving crashes, fires, or injuries. Ideal for class action intake, recall monitoring, and expert witness research:

{
  "source": "NHTSA",
  "nhtsaMake": "toyota",
  "nhtsaModel": "camry",
  "nhtsaModelYear": 2021,
  "minRiskScore": 60,
  "size": 100
}

2. Banking Compliance & Fintech Risk: Untimely Responses & High-Severity Disputes

Filter CFPB financial complaints against major banking institutions or credit bureaus to uncover regulatory delinquency, deceptive practices, or monetary relief settlements:

{
  "source": "CFPB",
  "company": "Wells Fargo",
  "minRiskScore": 50,
  "size": 50
}

3. Debt Collection & Consumer Protection Litigation

Identify debt collection harassment, unauthorized reporting, or identity theft disputes with full consumer narratives:

{
  "source": "CFPB",
  "product": "Debt collection",
  "hasNarrativeOnly": true,
  "size": 50
}

4. Cross-Agency Enterprise Risk Feed (CFPB Financial + NHTSA Automotive)

Combine both federal registries in a single scheduled pipeline to monitor total consumer dispute exposure:

{
  "source": "BOTH",
  "searchTerm": "defect",
  "size": 100
}

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Sample Output Record (Normalized Schema)

{
  "complaint_id": "9999997",
  "source": "CFPB",
  "company_name": "TRANSUNION INTERMEDIATE HOLDINGS, INC.",
  "product_or_make": "Credit reporting or other personal consumer reports",
  "sub_product_or_model": "Credit reporting",
  "issue": "Improper use of your report",
  "consumer_complaint_narrative": "Reporting company used my credit report improperly without authorization.",
  "company_response": "Closed with non-monetary relief",
  "timely_response": true,
  "date_received": "2024-09-03",
  "consumer_risk_score": 65,
  "extracted_at": "2026-11-04T00:24:17.871987+00:00",
  "sub_issue": "Reporting company used your report improperly",
  "state": "FL",
  "zip_code": "33060",
  "company_public_response": "Company has responded to the consumer and the CFPB and confirms resolution.",
  "submitted_via": "Web",
  "crash_flag": false,
  "fire_flag": false,
  "injuries_count": 0,
  "deaths_count": 0,
  "vin": null,
  "lead_segments": [
    "FINANCIAL_DISPUTE",
    "HIGH_SEVERITY_DISPUTE",
    "NON_MONETARY_RELIEF",
    "ELEVATED_RISK"
  ]
}

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Automation & API Integrations (Clay, n8n, Make, Python, MCP)

Call via Synchronous REST API (Clay.com / n8n / Make HTTP Module)

Trigger a run synchronously and receive the JSON results array directly in the HTTP response:

curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~consumer-complaints-cfpb-nhtsa-leads/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "source": "CFPB",
    "company": "Wells Fargo",
    "size": 25
  }'

Call via Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("YOUR_USERNAME/consumer-complaints-cfpb-nhtsa-leads").call(
    run_input={
        "source": "NHTSA",
        "nhtsaMake": "tesla",
        "nhtsaModel": "model 3",
        "nhtsaModelYear": 2022,
        "size": 50,
    }
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(items)} defect complaint records")

AI Agents & Model Context Protocol (MCP)

Compatible with Apify's MCP server (mcp.apify.com). AI agents can invoke this Actor as a live tool to:

• Research class action litigation potential against financial institutions or car manufacturers.
• Check vehicle safety history, component failure trends, and crash risks for specific makes and models.
• Verify whether a company has a history of untimely responses or unresolved consumer fraud allegations.

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Frequently Asked Questions (FAQ)

1. Where does the complaint data originate? All data is sourced directly from official US government public portals:

• Consumer Financial Protection Bureau (CFPB) Consumer Complaint Database (consumerfinance.gov)
• National Highway Traffic Safety Administration (NHTSA) Office of Defects Investigation (api.nhtsa.gov)

2. How does this Actor bypass the CFPB Akamai 403 Forbidden block? The CFPB API sits behind Akamai GHost web application firewall rules that block raw cURL requests. This Actor automatically injects the verified 6-header browser bundle (User-Agent, Accept, Referer, Sec-Fetch-Dest, Sec-Fetch-Mode, Sec-Fetch-Site), allowing full API access without residential proxies.

3. How is the Consumer Risk Score (0–100) calculated? The score starts at a baseline of 40 and adds weighted risk points:

• NHTSA: Crash involvement (+25), vehicle fire (+25), fatalities (+35), injuries (+20), critical safety components like steering/brakes/airbags (+10).
• CFPB: Untimely company response (+25), monetary relief (+15), severe disputes like fraud/identity theft/repossession (+15), consumer narrative submitted (+10).
• Scores 80+ are tagged HIGH_LITIGATION_RISK, 60–79 are ELEVATED_RISK, and below 60 are STANDARD_MONITORING.

4. Can I run this Actor with zero inputs? Yes. Default execution runs with "source": "CFPB" and "size": 20, returning 20 real live complaints immediately without requiring any API keys or proxy configurations.