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CFPB Fintech & Bank Consumer Complaint Intelligence API

Pricing

from $4.00 / 1,000 extracted cfpb complaints

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CFPB Fintech & Bank Consumer Complaint Intelligence API

CFPB Fintech & Bank Consumer Complaint Intelligence API

Extract official US CFPB consumer financial complaints against banks, fintech apps, crypto exchanges (Coinbase, Robinhood, PayPal), lenders & credit bureaus into JSON/CSV. Get complaint narratives, product issues, states & company responses. Built for law firms, quant funds & MCP AI.

Pricing

from $4.00 / 1,000 extracted cfpb complaints

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Developer

Mehdad Sharifi

Mehdad Sharifi

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CFPB Fintech, Crypto & Bank Consumer Complaint Intelligence Scraper API

Extract official US Consumer Financial Protection Bureau (CFPB) consumer complaints and regulatory dispute disclosures against banks, fintech apps, crypto exchanges, Buy Now Pay Later (BNPL) platforms, mortgage lenders, and credit bureaus directly into clean JSON, CSV, or Excel datasets.

Built for class-action and mass-tort law firms, short-selling hedge funds, fintech product and compliance teams, B2B reputation agencies, n8n and Make automation workflows, and AI agents (Claude MCP and Cursor)—with zero proxy fees required.


Why Choose This CFPB Consumer Complaint & Fintech Risk Scraper?

FeatureWhat You Get
Full Consumer Complaint NarrativesExtracts the complete consumer dispute text, product category, sub-product, specific issue, sub-issue, and geographic state/ZIP code.
Company Response & SLA TrackingShows how the bank or fintech resolved the complaint (e.g., Closed with monetary relief, Closed with explanation) and whether they met CFPB timely response mandates.
Fintech, Crypto & Banking CoverageTrack consumer disputes across major crypto platforms (Coinbase, Robinhood), digital wallets (PayPal, Venmo, Zelle, Cash App), BNPL lenders (Affirm, SoFi), and national banks (Chase, Bank of America, Wells Fargo, Citi).
Zero Proxy or API Key CostsBuilt with resilient fallback handling so runs complete cleanly on cloud servers with near-zero compute cost.
AI Agent & MCP Server ReadyPlug directly into Claude Desktop, Cursor, LangChain, n8n, Make, or Zapier for automated compliance monitoring and sentiment analysis.

What Data Does This Actor Extract? (Sample JSON Output)

Every consumer complaint record is structured into a flat, ready-to-analyze JSON object:

{
"complaintId": "9845120",
"companyName": "COINBASE GLOBAL, INC.",
"dateReceived": "2026-10-18",
"dateSentToCompany": "2026-10-18",
"product": "Money transfer, virtual currency, or money service",
"subProduct": "Virtual currency",
"issue": "Other transaction problem",
"subIssue": "Unauthorized transaction or account locked",
"companyResponseToConsumer": "Closed with explanation",
"companyPublicResponse": "Company has responded to the consumer and the CFPB",
"timelyResponse": "Yes",
"consumerDisputed": "No",
"state": "CA",
"zipCode": "94105",
"submittedVia": "Web",
"complaintNarrative": "Account access was restricted during a pending transfer and customer support did not resolve the hold within the stated timeframe.",
"matchedQuery": "Coinbase",
"cfpbDetailUrl": "https://www.consumerfinance.gov/data-research/consumer-complaints/search/detail/9845120"
}

How to Use CFPB Fintech & Bank Consumer Complaint Scraper

  1. Enter Company Names or Keywords: Add one or more fintech apps, banks, crypto platforms, or complaint topics (e.g., Coinbase, Robinhood, PayPal, Zelle, Mortgage, Fraud).
  2. Set Max Complaints to Extract: Choose the maximum number of complaint records to retrieve per run (default: 30, up to 500+).
  3. Run & Export: Click Start and download your structured dataset in JSON, CSV, Excel, or XML, or connect directly via the Apify REST API.

High-Value CFPB Complaint Categories & Signals

Product CategoryCommon Issues TrackedWho Uses This Data
Virtual Currency & CryptoAccount freezes, unauthorized transfers, withdrawal delaysCrypto risk analysts, short-bias quant funds, financial journalists
Mobile Wallets & P2P (Zelle / Venmo / Cash App)Scam disputes, Regulation E unauthorized electronic fund transfersConsumer protection attorneys, banking compliance officers
Credit Reporting & BureausIncorrect credit report items, identity theft block failuresFCRA litigation law firms, credit repair SaaS platforms
Mortgages, Auto Loans & BNPLServicing errors, improper fees, repossession or foreclosure disputesFixed-income analysts, consumer lending competitors

Transparent Pay-Per-Event Pricing

You only pay for the exact complaint records extracted:

  • Actor Startup (apify-actor-start): USD 0.01 per run.
  • Extracted CFPB Complaint (cfpb-complaint-extracted): USD 0.004 per parsed complaint record (USD 4.00 per 1,000 complaints).
  • Free Tier Friendly: With Apify's free USD 5.00 monthly credit, you can extract over 1,200 consumer complaint records every month for free.

Top Use Cases

  • Short-Selling & Equity Risk Research: Spikes in CFPB fraud, account-freeze, or billing complaints against public fintechs and banks (COIN, HOOD, PYPL, SOFI, AFRM, SQ, WFC) are leading indicators of regulatory enforcement actions and customer churn.
  • Consumer Protection & Class-Action Law Firms: Identify recurring systemic issues across states and ZIP codes to evaluate class-action and Regulation E / FCRA litigation opportunities.
  • Competitor Fintech Benchmarking: Track how rival fintech apps and neo-banks handle customer disputes and measure their monetary relief vs. non-monetary resolution rates.
  • AI Compliance & Risk Research Agents (MCP): Give Claude Desktop, Cursor, or LangChain direct access to consumer complaint data via Apify's Model Context Protocol (MCP) server.

Frequently Asked Questions (FAQ)

What is the CFPB Consumer Complaint Database?

The Consumer Financial Protection Bureau (CFPB) Consumer Complaint Database is an official US federal dataset containing complaints submitted by consumers regarding financial products and services—including bank accounts, credit cards, mortgages, student loans, P2P payment apps, and cryptocurrency exchanges—along with the company's official response.

How can hedge funds and equity analysts use CFPB complaint data?

Quantitative and fundamental analysts track month-over-month changes in complaint volume and issue severity (such as sudden spikes in "Account locked" or "Unauthorized transaction" filings) as an alternative data signal for customer dissatisfaction, rising fraud losses, or impending CFPB/SEC regulatory investigations.

How can I connect this CFPB Complaint API to Python, Google Sheets, or n8n?

You can trigger this Actor via the Apify REST API, the apify-client Python or Node.js SDK, or the official Apify integration node inside n8n, Make, and Zapier to export complaint records directly into Google Sheets, Slack, or your database.


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