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FDIC Bank Financial Data Scraper

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FDIC Bank Financial Data Scraper

FDIC Bank Financial Data Scraper

Extract US bank data from FDIC BankFind API. Get financial statements, branch locations, bank failures, and institution details for 27,000+ FDIC-insured banks. 126+ fields including assets, deposits, loans, capital ratios, ROA/ROE, and regulatory data. No proxy needed.

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ParseForge

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🏦 FDIC Bank Data Scraper

🚀 Export every FDIC-insured US bank in seconds. Filter 4,500+ active institutions by state, active status, and assets. No API key, no registration, no manual data wrangling.

🕒 Last updated: 2026-05-21 · 📊 16 fields per record · 🏦 4,500+ active banks · 🗺️ All 50 US states · 📊 Assets, deposits and financials included

The FDIC Bank Data Scraper exports the official FDIC BankFind Suite database and returns 16 fields per record, including the FDIC certificate number, institution class, geographic coordinates, assets, deposits, net income, and founding date. The underlying dataset is the authoritative US government registry of all FDIC-insured institutions, maintained and published by the Federal Deposit Insurance Corporation.

The catalog covers every FDIC-insured bank and thrift in the United States, from the largest national associations down to community credit unions. This Actor makes that data downloadable as CSV, Excel, JSON, or XML in under five minutes. All filters run server-side, so you skip the pipeline engineering entirely.

🎯 Target Audience💡 Primary Use Cases
Fintech teams, compliance analysts, risk researchers, data scientists, journalists, CRE investors, academic economistsBank due diligence, competitive analysis, state-level market mapping, financial research, regulatory compliance checks, branch location mapping

📋 What the FDIC Bank Data Scraper does

Three filtering workflows in a single run:

  • 🏦 Full US export. Every FDIC-insured institution in the country sorted by total assets.
  • 📍 State filter. Restrict to one state abbreviation like CA, TX, NY, or FL.
  • Active-only toggle. Return only currently operating banks, or include all historical records and closed institutions.

Each record includes the FDIC certificate number (unique identifier), bank name, city, state, address, ZIP code, institution class, founding date, total assets, total deposits, net income, active status, and GPS coordinates.

💡 Why it matters: accurate FDIC bank data powers compliance screening, CRE underwriting, fintech market analysis, and academic research. Building your own pipeline means handling paginated government APIs, managing field mappings, and refreshing by hand. This Actor skips all of that and keeps your dataset fresh on every run.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.


⚙️ Input

InputTypeDefaultBehavior
maxItemsinteger10Records to return. Free plan caps at 10, paid plan at 1,000,000.
activeOnlybooleantrueWhen true, returns only currently active/open banks. Set to false to include closed institutions.
stateAbbrstring""Two-letter US state abbreviation. Empty = all states.

Example: top 100 California banks by assets.

{
"maxItems": 100,
"activeOnly": true,
"stateAbbr": "CA"
}

Example: all FDIC-insured banks nationwide (active and closed).

{
"maxItems": 10000,
"activeOnly": false
}

⚠️ Good to Know: financial figures (assets, deposits, net income) are reported in thousands of US dollars as filed with the FDIC. A value of 3752662000 means approximately $3.75 trillion. Established dates reflect the original charter date and may differ from the date of current ownership.


📊 Output

Each bank record contains 16 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

FieldTypeExample
🔑 certnumber628
🏦 namestring"JPMorgan Chase Bank, National Association"
🏙 citystring"Columbus"
📍 stateAbbrstring"OH"
🗺 addressstring"1111 Polaris Pkwy"
📮 zipstring"43240"
🏛 institutionClassstring"N"
📅 establishedstring"01/01/1824"
💰 assetsnumber3752662000
🏧 depositsnumber2697842000
📈 netIncomenumber49644000
activenumber1
🌐 latitudenumber40.142089249632
🌐 longitudenumber-82.996085855642
🕒 scrapedAtISO 8601"2026-05-21T22:37:02.789Z"
errorstring | nullnull

📦 Sample records


✨ Why choose this Actor

Capability
🏦Official FDIC data. Sourced directly from the Federal Deposit Insurance Corporation BankFind Suite API.
📍State-level filtering. Drill down to any of the 50 US states with a single dropdown selection.
💰Financial metrics included. Assets, deposits, and net income per institution in a single record.
Fast. 10 banks in under 5 seconds, 4,500+ active institutions in under 2 minutes.
🌐GPS coordinates. Latitude and longitude included for every bank - ready for map overlays and proximity searches.
🔁Always fresh. Every run pulls the latest FDIC registry, so the dataset reflects current filings.
🚫No authentication. Works with the public FDIC BankFind API. No account or API key needed.

📊 The FDIC BankFind database is the definitive source of truth for US bank existence, financial health, and charter history.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ FDIC Bank Data Scraper (this Actor)$5 free credit, then pay-per-use4,500+ active banks nationwideLive per runstate, active status, asset sort⚡ 2 min
FDIC BankFind website (manual)FreeFullLiveLimited, no bulk export🐢 Hours
Third-party financial data APIs$200-$2000+/monthVariesVariesMany⏳ Days
Static FDIC CSV bulk downloadFreeFullQuarterlyNone after download🕒 Variable

Pick this Actor when you want structured, filtered, always-fresh bank data without manual export or expensive data vendor subscriptions.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the FDIC Bank Data Scraper page on the Apify Store.
  3. 🎯 Set input. Pick a state (or leave empty for all states), toggle active-only, and set maxItems.
  4. 🚀 Run it. Click Start and let the Actor collect your data.
  5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


💼 Business use cases

🏦 Fintech and Banking

  • Market entry research: which states have underserved communities
  • Competitive benchmarking by asset size and deposit base
  • Branch location data for proximity analysis
  • Bank-to-bank acquisition target screening

🏢 Commercial Real Estate

  • Identify bank presence near target properties
  • CRE underwriting using local bank deposit density
  • Market saturation maps for branch expansion planning
  • Correlate bank concentration with economic activity

📊 Financial Research and Compliance

  • Build regulatory compliance checklists using FDIC cert numbers
  • Academic studies on bank consolidation and market structure
  • Stress-test datasets using real asset and deposit figures
  • Track institutional class distribution across states

🗺️ GIS and Data Enrichment

  • Plot all US banks on an interactive map using lat/lon
  • Enrich address databases with nearby bank presence
  • Regional economic dashboards combining bank data with census data
  • Create state-level financial heatmaps by deposit volume

🔌 Automating FDIC Bank Data Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

  • 🟢 Node.js. Install the apify-client NPM package.
  • 🐍 Python. Use the apify-client PyPI package.
  • 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Monthly refreshes keep downstream databases in sync with the latest FDIC filings automatically.


🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • Bank consolidation and market concentration studies
  • Regional economic resilience analysis using deposit data
  • Reproducible datasets for economics dissertations
  • Cross-state comparison of community vs national banks

🎨 Personal and creative

  • Personal finance side projects and portfolio dashboards
  • Interactive maps of US banking infrastructure
  • Historical founding date timelines across bank charters
  • Hobbyist financial data visualization projects

🤝 Non-profit and civic

  • Banking desert research for underserved community advocacy
  • Investigative journalism on bank mergers and community impact
  • Civic transparency tools showing bank presence by ZIP code
  • CDFI and community bank identification for grant programs

🧪 Experimentation

  • Train financial classification ML models on real institution data
  • Prototype fintech product hypotheses using real market data
  • Test bank-proximity features in location-aware apps
  • Validate financial dashboard concepts with live FDIC records

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:


❓ Frequently Asked Questions

🧩 How does it work?

Configure your state filter and active-only toggle in the input form, click Start, and the Actor queries the official FDIC BankFind Suite API with your filters and emits one clean structured record per institution. No browser automation, no captchas, no setup.

📏 How accurate is the data?

All data is sourced directly from the official FDIC BankFind Suite API. Financial figures (assets, deposits, net income) reflect the most recent Call Report filed with the FDIC. Geographic coordinates are provided by the FDIC and are accurate to the registered address.

🔁 How often is the dataset refreshed?

The FDIC updates the BankFind Suite database on a rolling basis as institutions file reports. Every run of this Actor fetches the latest data, so your dataset reflects current FDIC filings as of run time.

🗂️ What does the institution class code mean?

The institutionClass field uses FDIC charter codes: N = National bank supervised by OCC, SM = State member bank supervised by Federal Reserve, NM = State nonmember bank supervised by FDIC, SB = Savings bank, SA = Savings association, OI = US branches of foreign banks.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to run this Actor on any cron interval (daily, weekly, monthly) and keep a downstream database in sync with the latest FDIC filings.

Yes. The FDIC BankFind Suite API provides publicly available government data. No terms of service restrict access to this information for research, analysis, or commercial use.

💼 Can I use this data commercially?

Yes. The underlying bank data is published by the US federal government and is in the public domain. You are responsible for complying with any downstream regulatory requirements in your own product.

💳 Do I need a paid Apify plan to use this Actor?

No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and gives you access to scheduling, higher concurrency, and datasets covering all 4,500+ US banks.

🔢 What do the asset and deposit numbers mean?

Financial figures are denominated in thousands of US dollars as filed on bank Call Reports. Divide by 1,000 to get millions, or by 1,000,000 to get billions.

🔁 What happens if a run fails or gets interrupted?

Apify automatically retries transient errors. If a run still fails, you can inspect the log in the Runs tab, fix the input, and re-run. Partial datasets from failed runs are preserved so you never lose progress.

🏦 Does it include credit unions?

The FDIC BankFind Suite covers FDIC-insured depository institutions - banks and thrifts. Credit unions are regulated by the NCUA and are not included in this dataset.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.


🔌 Integrate with any app

FDIC Bank Data Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step financial workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe bank data into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh bank data into your product backend, or alert your compliance team in Slack.


💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.


⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Federal Deposit Insurance Corporation (FDIC) or the US government. All trademarks mentioned are the property of their respective owners. Only publicly available data from the FDIC BankFind Suite public API is collected.