CFPB HMDA Lenders Scraper — U.S. Mortgage Lender Filing Database

Pull the complete list of U.S. mortgage lenders that reported under the Home Mortgage Disclosure Act (HMDA) for a given year — over 5,000 banks, credit unions, and non-bank originators per filing year, ranked by loan-application record (LAR) count, with each institution's Legal Entity Identifier (LEI) and direct download links to their full LAR file.

HMDA is the single most authoritative public dataset of U.S. mortgage lending. Every covered institution must report each loan application to the CFPB; the filer roster + LAR counts let you see who actually originated mortgages last year, who's gaining or losing share, and who has more than X loans worth of detail to mine downstream.

What you get

Field	Description
year	HMDA filing calendar year
lei	20-character Legal Entity Identifier (GLEIF)
name	Reported institution legal name
loanCount	Number of LAR records reported by this filer for the year
rank	National rank (1 = largest filer by LAR count)
marketSharePct	Filer's share of total LAR records that year
institutionUrl	Deep link into the CFPB Data Browser for the institution
downloadAllRecordsUrl	One-click CSV download of every LAR record this filer submitted

How to scrape HMDA mortgage lenders

1. Click Try for free to start a run with the default year (2023).
2. Optionally narrow by nameFilter (e.g. "CHASE"), minLoanCount (e.g. 1000), or maxResults.
3. Run — the dataset comes back as JSON / CSV / Excel / Markdown.

A typical 2023 pull returns ~5,100 lenders in under 30 seconds.

Pricing

$0.003 per lender row. A full year (~5,100 filers) costs roughly $15.30 in result fees plus minimal compute. Compute is billed separately by Apify.

Example input

{
    "year": 2023,
    "nameFilter": "CREDIT UNION",
    "minLoanCount": 500,
    "maxResults": 0
}

Example output

{
    "year": 2023,
    "lei": "5493003GQDUH26DNNH17",
    "name": "NAVY FEDERAL CREDIT UNION",
    "loanCount": 173415,
    "rank": 6,
    "marketSharePct": 1.42,
    "institutionUrl": "https://ffiec.cfpb.gov/data-browser/data/2023?category=states&leis=5493003GQDUH26DNNH17",
    "downloadAllRecordsUrl": "https://ffiec.cfpb.gov/v2/data-browser-api/view/csv?years=2023&leis=5493003GQDUH26DNNH17"
}

Use cases

• Mortgage industry sales/marketing — Build TAM lists of lenders by size and segment.
• Vendor / fintech BD — Prospect the long tail of small banks and credit unions actually originating mortgages.
• Bank M&A research — Identify share gainers/losers year over year.
• Academic / regulatory research — Pair filer roster with LAR data for fair-lending and CRA studies.

Other actors you might like

• fdic-banks-scraper — FDIC-insured institution roster
• fdic-enforcement-actions-scraper — FDIC enforcement actions
• sec-edgar-scraper — SEC EDGAR filings
• treasury-fiscal-scraper — Treasury fiscal data

FAQ

Q: Where does the data come from? A: The CFPB Data Browser public API (ffiec.cfpb.gov/v2/data-browser-api/view/filers). No login or key required.

Q: How do I get individual loan records, not just the lender list? A: Each row includes a downloadAllRecordsUrl — that CSV contains every LAR record that filer submitted (rate, loan amount, applicant demographics, action taken, census tract, etc.).

Q: Why are some institution names ALL CAPS? A: That's how lenders self-report to HMDA. Upper-case is normal.

Legal

Data comes from the public Consumer Financial Protection Bureau HMDA Data Browser. This actor is not affiliated with or endorsed by CFPB or FFIEC. Use of the data is subject to the public-domain terms of the CFPB. Loan-application records contain demographic data; if you re-publish raw LAR data you remain responsible for fair-lending and privacy compliance.