SBA PPP Loans Scraper: Business Leads, Amounts & Lenders

Here is one real result, with every field the actor returns:

{
  "loanNumber": "5668498305",
  "borrowerName": "SOUTH RESTAURANT + COFFEEHOUSE LLC",
  "borrowerAddress": "11124 Old Seward Hwy Ste A",
  "borrowerCity": "Anchorage",
  "borrowerState": "AK",
  "borrowerZip": "99515-3122",
  "dateApproved": "01/25/2021",
  "currentApprovalAmount": 942263,
  "initialApprovalAmount": 942263,
  "undisbursedAmount": 0,
  "forgivenessAmount": 950988.61,
  "forgivenessDate": "01/06/2022",
  "loanStatus": "Paid in Full",
  "loanStatusDate": "02/10/2022",
  "term": 60,
  "sbaGuarantyPercentage": 100,
  "jobsReported": 89,
  "naicsCode": "722511",
  "industry": "Accommodation & Food Services",
  "businessType": "Limited  Liability Company(LLC)",
  "businessAgeDescription": "Existing or more than 2 years old",
  "franchiseName": null,
  "nonprofit": null,
  "race": "Asian",
  "ethnicity": "Not Hispanic or Latino",
  "gender": "Female Owned",
  "veteran": "Non-Veteran",
  "ruralUrbanIndicator": "U",
  "hubzoneIndicator": "N",
  "lmiIndicator": "N",
  "originatingLender": "Northrim Bank",
  "originatingLenderCity": "ANCHORAGE",
  "originatingLenderState": "AK",
  "servicingLenderName": "Northrim Bank",
  "servicingLenderCity": "ANCHORAGE",
  "servicingLenderState": "AK",
  "projectCity": "Anchorage",
  "projectCountyName": "ANCHORAGE",
  "projectState": "AK",
  "projectZip": "99515-3122",
  "congressionalDistrict": "AK-",
  "processingMethod": "PPS",
  "payrollProceed": 942258,
  "utilitiesProceed": 1,
  "rentProceed": null,
  "mortgageInterestProceed": null,
  "healthCareProceed": null,
  "debtInterestProceed": null,
  "refinanceEidlProceed": null,
  "source": "SBA PPP FOIA",
  "observedAt": "2026-08-10T14:32:02.619Z"
}

The most complete SBA PPP loans scraper available. It returns every field the SBA PPP FOIA release exposes for each funded loan, plus a derived industry label mapped from the NAICS sector, and gives you five filters to target exactly the loan records you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor queries the U.S. Small Business Administration's Paycheck Protection Program (PPP) FOIA release, applies the filters you pass as input, paginates through the matching loans, and writes one normalized record per loan to the run's dataset. Each record is a funded business with its name, full street address, loan amount, jobs reported, lender, NAICS industry, demographics, and forgiveness detail. Missing source values are returned as null, numeric fields are parsed to numbers, and a derived industry label is mapped from the two-digit NAICS sector so you can group loans without extra parsing.

Data covers approved PPP loans in the public FOIA dataset. Results are sorted by current approval amount, largest first.

Quickstart

Open the actor, paste this into the input, and press Run. It returns 10 PPP loans whose borrower name contains "coffee".

{
  "maxLoans": 10,
  "businessName": "coffee"
}

Every input field is optional. Leave businessName empty to pull the largest loans with no name filter. Combine state, naicsCode, minAmount, and maxAmount to narrow the set.

Input reference

Field	Type	Required	Default	Description
maxLoans	integer	no	10	Maximum number of loan records to collect.
businessName	string	no	(empty)	Keep only loans whose borrower name contains this text (for example coffee, dental, logistics). Case-insensitive partial match.
state	string	no	(empty)	Two-letter US state code of the borrower, for example CA, TX, NY, FL.
naicsCode	string	no	(empty)	Exact 6-digit NAICS industry code to filter by, for example 722511 for full-service restaurants.
minAmount	integer	no	(none)	Only return loans with a current approval amount at or above this value (USD).
maxAmount	integer	no	(none)	Only return loans with a current approval amount at or below this value (USD).

Filters combine with logical AND. With an empty input the actor returns the largest PPP loans, sorted by current approval amount descending.

Output reference

One dataset item per loan. Types: string, number, or null when the source value is absent.

Field	Type	Description
loanNumber	string	SBA loan number (unique per loan).
borrowerName	string	Legal name of the funded business.
borrowerAddress	string	Borrower street address.
borrowerCity	string	Borrower city.
borrowerState	string	Two-letter state code of the borrower.
borrowerZip	string	Borrower ZIP code.
dateApproved	string	Date the loan was approved (MM/DD/YYYY).
currentApprovalAmount	number	Current approved loan amount in USD.
initialApprovalAmount	number	Initial approved loan amount in USD.
undisbursedAmount	number	Undisbursed amount in USD.
forgivenessAmount	number	Amount forgiven in USD, or null if none.
forgivenessDate	string	Date forgiveness was recorded (MM/DD/YYYY), or null.
loanStatus	string	Loan status, for example Paid in Full, Exemption 4.
loanStatusDate	string	Date of the current loan status.
term	number	Loan term in months.
sbaGuarantyPercentage	number	SBA guaranty percentage.
jobsReported	number	Jobs the borrower reported the loan would support.
naicsCode	string	6-digit NAICS industry code.
industry	string	Human-readable industry label derived from the NAICS two-digit sector, or null.
businessType	string	Business legal structure, for example Limited Liability Company(LLC).
businessAgeDescription	string	Reported business age bucket.
franchiseName	string	Franchise name, or null if not a franchise.
nonprofit	string	Nonprofit indicator, or null.
race	string	Reported owner race, or null.
ethnicity	string	Reported owner ethnicity, or null.
gender	string	Reported owner gender, or null.
veteran	string	Reported veteran status, or null.
ruralUrbanIndicator	string	R (rural) or U (urban).
hubzoneIndicator	string	HUBZone indicator, Y or N.
lmiIndicator	string	Low-to-moderate income area indicator, Y or N.
originatingLender	string	Lender that originated the loan.
originatingLenderCity	string	Originating lender city.
originatingLenderState	string	Originating lender state.
servicingLenderName	string	Lender servicing the loan.
servicingLenderCity	string	Servicing lender city.
servicingLenderState	string	Servicing lender state.
projectCity	string	City where the funded project is located.
projectCountyName	string	County of the funded project.
projectState	string	State of the funded project.
projectZip	string	ZIP code of the funded project.
congressionalDistrict	string	Congressional district of the project.
processingMethod	string	SBA processing method, for example PPS, PPP.
payrollProceed	number	Proceeds used for payroll, or null.
utilitiesProceed	number	Proceeds used for utilities, or null.
rentProceed	number	Proceeds used for rent, or null.
mortgageInterestProceed	number	Proceeds used for mortgage interest, or null.
healthCareProceed	number	Proceeds used for health care, or null.
debtInterestProceed	number	Proceeds used for debt interest, or null.
refinanceEidlProceed	number	Proceeds used to refinance an EIDL loan, or null.
source	string	Always SBA PPP FOIA.
observedAt	string	ISO 8601 timestamp of when the record was collected.

On a failed run, a single item with a populated error field is written instead, and it is not charged.

Example output record

Real record from a live run (input {"maxLoans": 10, "businessName": "coffee"}):

{
  "loanNumber": "5668498305",
  "borrowerName": "SOUTH RESTAURANT + COFFEEHOUSE LLC",
  "borrowerAddress": "11124 Old Seward Hwy Ste A",
  "borrowerCity": "Anchorage",
  "borrowerState": "AK",
  "borrowerZip": "99515-3122",
  "dateApproved": "01/25/2021",
  "currentApprovalAmount": 942263,
  "initialApprovalAmount": 942263,
  "undisbursedAmount": 0,
  "forgivenessAmount": 950988.61,
  "forgivenessDate": "01/06/2022",
  "loanStatus": "Paid in Full",
  "loanStatusDate": "02/10/2022",
  "term": 60,
  "sbaGuarantyPercentage": 100,
  "jobsReported": 89,
  "naicsCode": "722511",
  "industry": "Accommodation & Food Services",
  "businessType": "Limited  Liability Company(LLC)",
  "businessAgeDescription": "Existing or more than 2 years old",
  "franchiseName": null,
  "nonprofit": null,
  "race": "Asian",
  "ethnicity": "Not Hispanic or Latino",
  "gender": "Female Owned",
  "veteran": "Non-Veteran",
  "ruralUrbanIndicator": "U",
  "hubzoneIndicator": "N",
  "lmiIndicator": "N",
  "originatingLender": "Northrim Bank",
  "originatingLenderCity": "ANCHORAGE",
  "originatingLenderState": "AK",
  "servicingLenderName": "Northrim Bank",
  "servicingLenderCity": "ANCHORAGE",
  "servicingLenderState": "AK",
  "projectCity": "Anchorage",
  "projectCountyName": "ANCHORAGE",
  "projectState": "AK",
  "projectZip": "99515-3122",
  "congressionalDistrict": "AK-",
  "processingMethod": "PPS",
  "payrollProceed": 942258,
  "utilitiesProceed": 1,
  "rentProceed": null,
  "mortgageInterestProceed": null,
  "healthCareProceed": null,
  "debtInterestProceed": null,
  "refinanceEidlProceed": null,
  "source": "SBA PPP FOIA",
  "observedAt": "2026-08-10T14:32:02.619Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~sba-ppp-loans-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"businessName":"coffee","state":"CA","maxLoans":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~sba-ppp-loans-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"naicsCode":"722511","minAmount":150000,"maxLoans":100}'

Apify CLI:

apify call scrapers_lat/sba-ppp-loans-scraper \
  --input '{"businessName":"coffee","maxLoans":10}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per record returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 records per run. Upgrade for higher maxLoans.

FAQ and troubleshooting

A run returned 0 records. Why? The filter combination matched nothing in the source. Loosen filters (for example remove state or naicsCode, or widen the amount range). Zero-result runs are not charged.

How do I find loans in one industry? Set naicsCode to the exact 6-digit code (for example 722511 for full-service restaurants). The industry field in each record is the derived sector label.

How do I target high-value loans? Set minAmount (and optionally maxAmount). Results are already sorted by current approval amount, largest first.

Why are some demographic fields null? The SBA release records these only when the borrower reported them. Missing source values are returned as null, never invented.

Is this an official SBA tool? No. This actor is independent and has no affiliation with the SBA. It reads only data that the SBA publishes in its PPP FOIA release. Use it in accordance with the SBA's terms.

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Independent tool, not affiliated with the U.S. Small Business Administration. Accesses only publicly available SBA PPP FOIA data. Use in accordance with the SBA's terms.