USAspending Loans Scraper | Federal Loan Programs Data avatar

USAspending Loans Scraper | Federal Loan Programs Data

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USAspending Loans Scraper | Federal Loan Programs Data

USAspending Loans Scraper | Federal Loan Programs Data

Export federal loan and loan guarantee awards from USAspending.gov: recipient, awarding agency, loan value, subsidy cost, CFDA number, issued date and description. Filter by recipient name, fiscal year and agency. CSV, Excel, JSON or XML for credit research, compliance and policy work.

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from $19.00 / 1,000 results

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ParseForge

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🏦 USAspending Loans Scraper

🚀 Export federal loan and loan guarantee awards in seconds. Recipients, agencies, loan value, subsidy cost — straight to CSV, Excel, JSON, or XML.

🕒 Last updated: 2026-05-26 · 📊 11 fields per record · Federal scale · All federal loan programs

USAspending.gov is the official source for federal financial assistance. This actor focuses on loan programs (award codes 07 and 08), turning USAspending search results into a clean dataset with one row per loan award.

Coverage spans every federal loan program (Small Business Administration, Department of Education direct loans, USDA Rural Development, etc.), every fiscal year from 2008 forward, with full recipient and sub-agency attribution.

🎯 Target Audience💡 Primary Use Cases
Lending and credit analystsTrack federal loan recipients
Journalists and researchersAudit federal loan portfolios
Compliance teamsVerify recipient activity
Policy researchersQuantify loan program reach

📋 What the USAspending Loans Scraper does

  • Pulls loan and loan guarantee awards from the USAspending search API
  • Filters by recipient keyword, fiscal year, and awarding agency
  • Returns recipient, agency, loan value, subsidy cost, CFDA number, and description
  • Provides a direct link to each award page on USAspending.gov

💡 Why it matters: Federal loan portfolios are public record. This scraper makes them queryable in seconds.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

FieldTypeDescription
maxItemsintegerCap on rows (free plan: 10)
recipientSearchstringOptional recipient keyword filter
fiscalYearintegerFiscal year (2008-2030)
agencystringAwarding agency keyword filter
{ "maxItems": 50 }
{ "maxItems": 100, "recipientSearch": "university", "fiscalYear": 2024 }

⚠️ Good to Know: USAspending serves data with a delay of up to several days. Awards may be modified retroactively.

📊 Output

FieldTypeDescription
📌 awardIdstringUSAspending award identifier
🏢 recipientNamestringAward recipient
🏛 awardingAgencystringTop-level federal agency
awardingSubAgencystringSub-agency
💲 loanValuenumberFace value of the loan
subsidyCostnumberEstimated subsidy cost
cfdaNumberstringCFDA / Assistance Listing
descriptionstringAward description
issuedDatestringDate the loan was issued
🔗 urlstringAward detail page
🕒 scrapedAtstringISO timestamp

✨ Why choose this Actor

  • Direct USAspending API: no scraping fragility
  • Real-time data, no cached responses
  • Works with Make, Zapier, Airbyte, GitHub Actions, Google Sheets

📈 How it compares to alternatives

ApproachCostMaintenanceCoverage
This actorPay per resultNoneFull
Manual USAspending downloadFreeHighLimited UI
Commercial federal-loan databases$$$NoneCurated

🚀 How to use

  1. Create a free account w/ $5 credit
  2. Open the actor page
  3. Set inputs
  4. Run
  5. Download dataset as CSV, Excel, JSON, or XML

💼 Business use cases

Competitor and market monitoring

Watch which lenders or recipients are receiving federal loan guarantees in your sector.

Pipeline expansion

Identify federal agencies actively issuing loans in adjacent industries.

Compliance and due diligence

Validate that prospects received federal loans before doing diligence.

Market sizing and research

Aggregate loan value per program or fiscal year for portfolio analysis.

🔌 Automating USAspending Loans Scraper

Connects with Make, Zapier, Slack, Airbyte, GitHub Actions, and Google Drive via Apify's standard integrations.

🌟 Beyond business use cases

Research

Academic studies on federal credit programs and subsidy cost.

Personal

Curious citizens tracking how loan guarantees are awarded.

Non-profit

Watchdog organizations auditing loan recipient categories.

Experimentation

Train models on labelled federal loan data.

🤖 Ask an AI assistant about this scraper

ChatGPT, Claude, Perplexity, or Copilot can explain inputs, sample outputs, and integration patterns.

❓ Frequently Asked Questions

Q: Is the data real-time? A: USAspending publishes with a several-day lag. Q: Are SBA 7(a) and 504 loans included? A: Yes, all federal loan programs (codes 07 and 08). Q: How far back does data go? A: FY2008 via the search API. Q: Is recipient name standardized? A: It is the recipient name as reported. Q: Can I filter by CFDA? A: Use the recipient or agency filters. CFDA appears in output. Q: Are dollar amounts inflation-adjusted? A: No, nominal dollars. Q: Does this include classified programs? A: No, only publicly disclosed records. Q: Are sub-awards included? A: This actor returns prime awards. Q: How accurate is the data? A: As accurate as the USAspending source data. Q: Can I get loans by state? A: Use recipient or agency filters; state filtering is a future enhancement.

🔌 Integrate with any app

Make, Zapier, Slack, Airbyte, GitHub Actions, Google Sheets, Webhooks.

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💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the source organization. Only publicly available data collected.