🏦 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.

🕒 Last updated: 2026-04-23

Whether you're a financial analyst researching US banking institutions, an investor evaluating bank performance, or a compliance team tracking regulatory data, this tool gives you structured access to the FDIC BankFind database covering 27,000+ active banks and over 1.6 million financial records.

The FDIC Bank Scraper extracts financial institution data from the FDIC BankFind API. Six endpoints cover institutions, financials, locations, failures, history, and summaries with 92+ fields per bank including assets, deposits, equity, ROA, ROE, employee counts, addresses, and coordinates.

Target Audience	Financial analysts, investors, compliance teams, researchers, insurance companies
Primary Use Cases	Bank performance analysis, investment research, regulatory tracking, risk assessment

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📋 What Does It Do

This tool collects financial institution data from the FDIC BankFind API, supporting six different data endpoints. It delivers:

• 🏦 Institutions - 27,000+ US banks with charter info, addresses, websites, and regulatory details
• 📊 Financials - 1.6M+ quarterly reports with assets, deposits, equity, ROA, ROE, and more
• 📍 Locations - 78,000+ branch offices with addresses, coordinates, and service types
• 💥 Failures - 4,000+ bank failures since 1934 with acquiring institution and loss data
• 📜 History - 580,000+ historical records tracking mergers, name changes, and charter events
• 📈 Summaries - aggregate industry statistics by state, charter type, and time period

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🎬 How to Use the FDIC Bank Scraper - Full Demo

🚧 Demo video coming soon

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⚙️ Input

To start collecting bank data, simply fill in the input form:

Field	Type	Description
Max Items	Integer	Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000.
Data Source	Select	Which FDIC dataset to query: Bank Directory, Financial Statements, Branch Locations, Bank Failures, Branch History, or State/Year Summaries.
State	String	Filter by US state (2-letter code, e.g. CA, NY, TX). Leave empty for all states.
FDIC Certificate Number	String	Filter by specific bank certificate number (e.g. 3510 for Bank of America).
Report Date	String	Filter financial data by report date (YYYYMMDD format). Only for financials endpoint.

Example 1: Get California banks

{
    "endpoint": "institutions",
    "state": "CA",
    "maxItems": 100
}

Example 2: Get financial data for a specific bank

{
    "endpoint": "financials",
    "certNumber": "3510",
    "maxItems": 50
}

⚠️ Free users are limited to 10 items per run. Sign up for a paid plan to collect up to 1,000,000 items.

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📊 Output

After the Actor finishes its run, you'll get a dataset with the output. You can download results as Excel, HTML, XML, JSON, or CSV.

🧾 Output Schema

Field	Type	Description
NAME	String	Bank or institution name
CERT	String	FDIC certificate number
CITY	String	Headquarters city
STALP	String	State code
ASSET	Number	Total assets in thousands
DEP	Number	Total deposits in thousands
EQ	Number	Total equity capital in thousands
ROA	Number	Return on assets percentage
ROE	Number	Return on equity percentage
NUMEMP	Number	Number of employees
WEBADDR	String	Bank website URL
scrapedAt	String	Timestamp of data collection

📦 Sample Output

Sample 1:

{
    "NAME": "Pacific Premier Bank",
    "CERT": "32398",
    "CITY": "Irvine",
    "STALP": "CA",
    "ASSET": 20546789,
    "DEP": 16234567,
    "EQ": 2345678,
    "ROA": 1.2,
    "ROE": 12.5,
    "NUMEMP": 1823,
    "WEBADDR": "https://www.ppbi.com",
    "scrapedAt": "2026-04-08T17:16:04.520Z"
}

Sample 2:

{
    "NAME": "Silicon Valley Bank",
    "CERT": "24735",
    "CITY": "Santa Clara",
    "STALP": "CA",
    "ASSET": 15200000,
    "DEP": 12800000,
    "EQ": 1650000,
    "ROA": 0.9,
    "ROE": 10.2,
    "NUMEMP": 980,
    "scrapedAt": "2026-04-08T17:16:04.520Z"
}

Sample 3:

{
    "NAME": "First Republic Bank",
    "CERT": "23011",
    "CITY": "San Francisco",
    "STALP": "CA",
    "ASSET": 18750000,
    "DEP": 14500000,
    "EQ": 2100000,
    "ROA": 1.1,
    "ROE": 11.8,
    "NUMEMP": 1450,
    "scrapedAt": "2026-04-08T17:16:04.520Z"
}

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✨ Why Choose the FDIC Bank Scraper?

Benefit	Description
⚡ Batch collection	Collect thousands of bank records at once
📊 92+ fields	Comprehensive financial metrics per bank
🗂️ 6 endpoints	Institutions, financials, locations, failures, history, summaries
📁 Structured output	Export to JSON, CSV, or Excel for immediate analysis
🔄 Automated scheduling	Set up quarterly monitoring to track changes
📍 State filtering	Query all 50 states or focus on specific regions
🎯 No coding required	Point-and-click interface that anyone can use

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📈 How Does It Compare?

Feature	Our Tool	Manual FDIC Search
Batch collection	✅ Thousands of banks at once	❌ Browse one at a time
Financial metrics	✅ 92+ fields per bank	⚠️ Limited display fields
6 endpoints	✅ All in one tool	❌ Navigate each separately
Structured output	✅ JSON, CSV, Excel	❌ HTML pages
State filtering	✅ All 50 states	⚠️ Search one at a time
Historical data	✅ 580K+ records	⚠️ Manual lookups

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🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Scraper - Search for "FDIC Bank Scraper" in the Apify Store
3. Set Input - Select your endpoint, state filter, and optional cert number
4. Run It - Click "Start" and let it collect your data
5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

No Technical Skills Required: Everything is point-and-click

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💼 Business Use Cases

Financial Analysts and Investors:

• Build comprehensive databases of US bank performance metrics and balance sheets
• Screen banks by assets, ROA, ROE, and equity for investment research
• Analyze banking industry trends by state, size, and charter type

Compliance and Risk Teams:

• Track bank regulatory status, charter changes, and failure history
• Evaluate bank financial health for risk assessment
• Monitor mergers, acquisitions, and name changes in the banking sector

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🌟 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 Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

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

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

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🔌 Automating Your Workflows

For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API.

• Node.js: Install the apify-client NPM package
• Python: Use the apify-client PyPI package
• See the Apify API reference for full details

🔌 Integrate FDIC Bank Scraper with any app

Last but not least, FDIC Bank Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

• Make - Automate financial data pipelines
• Zapier - Push bank data to your CRM
• Slack - Notify your team of new data
• Airbyte - Build data pipelines
• GitHub - Version control integration
• Google Drive - Export to spreadsheets

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever FDIC Bank Scraper successfully finishes a run.

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Pro Tip: 💡 Browse our complete collection of data collection actors to find the perfect tool for your business needs.

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🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify documentation for platform guides
• Contact us at Tally contact form

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Federal Deposit Insurance Corporation (FDIC) or any government agency. All trademarks mentioned are the property of their respective owners.