HMDA Mortgage Loan Data Scraper
Pricing
from $7.50 / 1,000 results
HMDA Mortgage Loan Data Scraper
Mine CFPB Home Mortgage Disclosure Act records by year and state with action_taken, race, loan type, and lender filters. Returns county, loan_amount, income, and lender_name. Useful for fair lending analysis, housing market research, and bank competitive intelligence.
Pricing
from $7.50 / 1,000 results
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0.0
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ParseForge
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3
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0
Monthly active users
3 days ago
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📊 HMDA Mortgage Loan Data Scraper
🚀 Export HMDA loan aggregations data in seconds. Structured records direct from the public ffiec.cfpb.gov endpoint to CSV, Excel, JSON, or XML.
The HMDA Mortgage Loan Data Scraper turns the ffiec.cfpb.gov public REST endpoint into a clean, structured dataset. It calls the endpoint with the parameters you supply, parses the JSON, and flattens each record into one row.
Dataset coverage depends on the upstream source. All field names are clean snake_case / camelCase, numeric strings are auto-cast to numbers, and upstream rate-limit notes are surfaced as a clean error record instead of crashing your pipeline.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 📊 Analysts | Pull structured records for analysis |
| 🏢 Finance teams | Snapshot data for dashboards and reports |
| 🤖 ML engineers | Build training sets from public sources |
| 📰 Journalists | Verify numbers for stories with one click |
| 👩💻 Developers | Mirror upstream data into your own DB without writing client code |
| 🎓 Researchers | Run reproducible studies on public data |
📋 What the HMDA Mortgage Loan Data Scraper does
- Calls the public
ffiec.cfpb.govendpoint. - Parses the JSON response and flattens each record into a clean row.
- Casts numeric fields to numbers so they import cleanly into Excel and BI tools.
- Surfaces upstream rate-limit or error notes as a single-row
errorrecord instead of crashing. - Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.
💡 Why it matters: The raw HMDA loan aggregations JSON is verbose and hard to consume in spreadsheets. This actor normalizes the payload into one row per record so the data drops straight into pandas, BigQuery, or a Google Sheet.
📊 Data fields
Each record includes: actionTaken, count, county, loanPurpose, loanType, race, results, scrapedAt, state, sumLoanAmount, year. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
⚠️ Good to Know: The HMDA loan aggregations API is rate-limited. This actor surfaces rate-limit notes as a clean
errorrecord so your downstream pipeline can decide how to retry.
🚀 How to use
- Click Try for free.
- Adjust input fields (or leave defaults).
- Click Start. Within seconds, your dataset is ready — download as CSV, Excel, JSON, or XML, or pipe to your warehouse.
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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers.
Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
