💼 SBA Loan Data Scraper

🚀 Collect U.S. Small Business Administration loan records in minutes. Filter by program, state, fiscal year, loan status, business type, and NAICS code. No coding, no government account required.

🕒 Last updated: 2026-04-16 · 📊 40+ fields · 📋 SBA 7(a) and 504 loans · 🇺🇸 All U.S. states

The SBA Loan Data Scraper extracts detailed loan records from the official U.S. Small Business Administration open data portal. Each record includes borrower information, lender details, loan amounts, approval dates, interest rates, term lengths, NAICS industry codes, loan status, SBA district office, and geographic identifiers. You can filter by loan program (7(a) or 504), fiscal year (1991 to present), borrower state, loan status (active, paid in full, charged off, cancelled), business type (corporation, LLC, partnership, sole proprietorship), NAICS code, and SBA district office. Free users can collect up to 10 records per run, while paid users can retrieve up to 1,000,000.

This tool is built for anyone who needs structured SBA lending data at scale. Lenders can analyze market share by region and industry. Investors can screen loan portfolios by performance metrics. Researchers can study lending trends across fiscal years and business types. Policy analysts can examine capital deployment patterns by geography and sector. The scraper handles the government portal's pagination and data structure automatically, delivering clean records you can export to JSON, CSV, or Excel for immediate use in spreadsheets, financial models, or data warehouses.

Target Audience	Use Cases
Lenders and Banks	Analyze SBA lending market share by region and industry
Investors and Analysts	Screen loan portfolios by status, rates, and performance
Economic Researchers	Study small business lending trends across fiscal years
Policy Analysts	Examine capital deployment by geography and sector
Business Consultants	Research SBA loan availability for client advisory
Credit Underwriters	Cross-reference borrower data for due diligence

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📋 What the SBA Loan Data Scraper does

• 💰 Loan amounts - extract gross approval amounts and SBA-guaranteed portions for every loan record
• 🏢 Borrower details - collect borrower names, addresses, states, ZIP codes, business types, and business age
• 🏦 Lender information - get lender names, FDIC/NCUA numbers, and full addresses for each originating bank
• 📅 Approval and disbursement dates - track approval dates, fiscal years, and first disbursement dates
• 📈 Interest rates and terms - access initial interest rates, fixed/variable classifications, and term lengths in months
• 🏷️ Industry classification - get NAICS codes and descriptions to segment lending by industry sector

The scraper connects to the SBA open data portal and queries loan records using your specified filters. It iterates through paginated results, extracts structured data for each loan, and pushes records to an Apify dataset in real time. Records include comprehensive borrower, lender, geographic, and financial details.

💡 Why it matters: The SBA approves billions of dollars in loans annually across thousands of lenders. Manually downloading and filtering this data from the government portal is slow and limited. This scraper gives you structured, filterable access to the full loan database in minutes.

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🎬 Full Demo

🚧 Coming soon...

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⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Maximum loan records to collect. Free: 10. Paid: up to 1,000,000.
loanPrograms	array	No	Filter by SBA program: "7A" for traditional loans, "504" for equipment financing.
fiscalYears	array	No	Filter by fiscal year range: 2020-Present, 2010-2019, 2000-2009, 1991-1999.
states	array	No	Filter by borrower state using 2-letter codes (e.g., CA, TX, NY).
loanStatuses	array	No	Filter by status: ACTIVE, PIF (paid in full), CHGOFF, CANCLD, EXEMPT.
businessTypes	array	No	Filter by entity type: Corporation, LLC, Partnership, Sole Proprietorship.
naicsCode	string	No	6-digit NAICS industry code (e.g., 541511 for custom programming).
sbaDistrictOffice	string	No	Filter by SBA district office name (e.g., "Los Angeles").

Example 1: California 7(a) loans from 2020-2021

{
  "maxItems": 100,
  "loanPrograms": ["7A"],
  "fiscalYears": ["2020", "2021"],
  "states": ["CA"]
}

Example 2: Charged-off loans in Texas

{
  "maxItems": 200,
  "states": ["TX"],
  "loanStatuses": ["CHGOFF"],
  "loanPrograms": ["7A", "504"]
}

⚠️ Good to Know: Free users are automatically limited to 10 items per run. Leave filters empty to browse all available loan records. Multiple values can be provided for states, fiscal years, and loan programs.

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📊 Output

🧾 Schema

Emoji	Field	Type	Description
🆔	loanNumber	string	Unique SBA loan identifier
💰	grossApproval	number	Total approved loan amount in USD
💵	sbaGuaranteedApproval	number	SBA-guaranteed portion of the loan
📅	approvalDate	string	Date the loan was approved
📅	firstDisbursementDate	string	Date of first disbursement
📊	fiscalYear	string	Fiscal year of approval
📈	initialInterestRate	number	Initial interest rate percentage
🔄	rateType	string	Fixed or variable rate classification
📆	termInMonths	integer	Loan term length in months
✅	loanStatus	string	Current status: ACTIVE, PIF, CHGOFF, CANCLD, EXEMPT
🏢	borrowerName	string	Business name of the borrower
📍	borrowerAddress	string	Borrower street address
🏙️	borrowerCity	string	Borrower city
📮	borrowerState	string	2-letter state code
🔢	borrowerZip	string	ZIP code
🏷️	businessType	string	Entity type (Corporation, LLC, etc.)
🏦	lenderName	string	Originating lender name
🏭	naicsCode	string	6-digit NAICS industry code
📋	naicsDescription	string	Industry description
🗺️	sbaDistrictOffice	string	SBA district office name
🕐	scrapedAt	string	Timestamp of data collection
⚠️	error	string	Error message if processing failed

📦 Sample records

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✨ Why choose this Actor

Feature	This Actor	Alternatives
Filter by SBA program (7(a) and 504)	Yes	Limited
Loan status filtering (active, paid, charged off)	Yes	Rarely available
NAICS industry code filtering	Yes	No
Business type filtering	Yes	No
Multi-state filtering	Yes	Single state
Up to 1,000,000 records per run	Yes	Capped lower
Export to JSON, CSV, and Excel	Yes	CSV only

📊 The SBA approves over $30 billion in loans annually. This scraper gives you structured access to the full loan database with filters for program, geography, industry, and performance.

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📈 How it compares to alternatives

Capability	This Actor	Government Portal	Generic Scrapers
SBA-specific filters (program, status, NAICS)	Yes	Partial	No
Bulk download of thousands of records	Yes	Limited batches	Varies
Multi-state and multi-year queries	Yes	Manual switching	No
Scheduled recurring runs	Yes	No	Varies
No coding required	Yes	Yes	No
Structured JSON/CSV/Excel output	Yes	CSV only	Varies

This scraper is purpose-built for SBA loan data, handling the government portal's specific data structure and pagination out of the box.

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🚀 How to use

1. Sign up - Create a free Apify account with $5 credit
2. Find the Actor - Search for "SBA Loan Data Scraper" in the Apify Store
3. Set your filters - Choose loan program, states, fiscal years, status, and other criteria
4. Start the run - Click "Start" and monitor results in real time
5. Export your data - Download as JSON, CSV, or Excel from the dataset tab

🕒 Typical run time: 1 to 5 minutes for 100 records. Larger runs with 1,000+ records may take 10 to 30 minutes depending on the filter scope.

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💼 Business use cases

Lending and Banking Analyze SBA lending market share by region and lender Benchmark interest rates and terms against industry averages Monitor loan approval volumes by fiscal year and state Identify underserved markets with low SBA lending activity	Investment and Credit Analysis Screen loan portfolios by charge-off rates and status Track SBA-guaranteed amounts across industries and regions Analyze default patterns by business type and NAICS code Build risk models using historical loan performance data
Economic Research Study small business capital access by state and industry Track lending trends across fiscal years and economic cycles Analyze the distribution of SBA support by business size Compare 7(a) and 504 program usage patterns	Business Consulting Research SBA loan availability for client advisory projects Build market reports on lending activity by SBA district Identify trending industries receiving SBA funding Support business plan development with lending benchmarks

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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 SBA Loan Data Scraper

Node.js example:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('parseforge/nasba-cpa-directory-scraper').call({
    maxItems: 100,
    loanPrograms: ['7A'],
    states: ['CA'],
    fiscalYears: ['2020', '2021']
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python example:

from apify_client import ApifyClient
client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('parseforge/nasba-cpa-directory-scraper').call(run_input={
    'maxItems': 100,
    'loanPrograms': ['7A'],
    'states': ['CA'],
    'fiscalYears': ['2020', '2021']
})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

• Apify API documentation
• Node.js client docs
• Python client docs

Schedules: Set up monthly or quarterly runs to track new SBA loan approvals. Combine with Google Sheets or Slack integrations to notify your team when new data matches your criteria.

🔌 Integrate with any app

• Make - Automate SBA loan data workflows and route records to your team
• Zapier - Connect to 5,000+ apps and trigger actions on new loan data
• Slack - Get notifications when new loans match your filters
• Airbyte - Stream loan data into your data warehouse
• GitHub - Version control your scraper configurations
• Google Drive - Export results directly to Google Sheets

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💡 Pro Tip: Combine the SBA Loan Data Scraper with the FINRA BrokerCheck Scraper to cross-reference lending institutions with their regulatory profiles.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue. We typically respond within 24 hours.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the U.S. Small Business Administration or any government agency. All trademarks mentioned are the property of their respective owners.