# SBA PPP Loans Scraper: Business Leads, Amounts & Lenders (`scrapers_lat/sba-ppp-loans-scraper`) Actor
Search U.S. SBA Paycheck Protection Program (PPP) loan records. Get borrower name, full address, loan and forgiveness amount, jobs reported, lender, NAICS industry, business type and demographics. Filter by business name, state, NAICS and amount. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/sba-ppp-loans-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## SBA PPP Loans Scraper: Business Leads, Amounts & Lenders
> Search the public U.S. SBA Paycheck Protection Program (PPP) loan records and export clean business leads: borrower name, full address, loan amount, jobs reported, lender, NAICS industry and forgiveness detail. Filter by business name, state, NAICS or loan size.
Borrower & address name, street, city, state, zip
Loan & jobs amount, forgiveness, jobs, lender
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Lead generation | Sales teams building B2B lists of funded businesses by industry and location |
| Market research | Analysts sizing an industry or region by loan volume and jobs |
| Journalism | Reporters investigating relief spending, lenders and forgiveness |
| Enrichment | Teams matching businesses to addresses, lenders and NAICS codes |
### How to use it
1. Enter a **business name** to keep only borrowers whose name contains that text (for example `coffee`, `dental`, `logistics`).
2. Optionally narrow by **state**, **NAICS code**, or a **minimum / maximum loan amount**.
3. Set **Max Items** and run. Results come sorted by loan amount (largest first). Export as JSON, CSV or Excel, or pull them through the Apify API.
### Frequently Asked Questions
**Which loans are covered?**
Approved PPP loans of $150,000 or more, the tier released with full borrower names, addresses and loan detail. These are the highest-value funded businesses.
**Can I target one industry or state?**
Yes. Filter by a two-letter state code, an exact 6-digit NAICS code, or both. You can also combine a name search with a loan-amount range.
**How do I get only the largest loans?**
Set a minimum loan amount (for example 1000000). Results are always sorted from the largest loan amount down.
**What does forgivenessAmount mean?**
The dollar amount of the loan that was forgiven, plus the forgiveness date when available. A loan can be fully forgiven, partly forgiven, or still outstanding.
### Related scrapers
- [USAspending Federal Award & Contract Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper)
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
- [SEC EDGAR Financials Revenue & Assets Scraper](https://apify.com/scrapers_lat/sec-edgar-financials-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the U.S. Small Business Administration. It only accesses publicly available loan records. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxLoans` (type: `integer`):
Maximum number of loan records to collect. Optional.
## `businessName` (type: `string`):
Optional. Keep only loans whose borrower name contains this text (for example 'coffee', 'dental', 'logistics'). Case-insensitive partial match.
## `state` (type: `string`):
Optional. Two-letter US state code of the borrower (for example CA, TX, NY, FL).
## `naicsCode` (type: `string`):
Optional. Exact 6-digit NAICS industry code to filter by (for example 722511 for full-service restaurants).
## `minAmount` (type: `integer`):
Optional. Only return loans with a current approval amount at or above this value.
## `maxAmount` (type: `integer`):
Optional. Only return loans with a current approval amount at or below this value.
## Actor input object example
```json
{
"maxLoans": 30,
"businessName": "coffee"
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxLoans": 30,
"businessName": "coffee"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/sba-ppp-loans-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxLoans": 30,
"businessName": "coffee",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/sba-ppp-loans-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxLoans": 30,
"businessName": "coffee"
}' |
apify call scrapers_lat/sba-ppp-loans-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/sba-ppp-loans-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "SBA PPP Loans Scraper: Business Leads, Amounts & Lenders",
"description": "Search U.S. SBA Paycheck Protection Program (PPP) loan records. Get borrower name, full address, loan and forgiveness amount, jobs reported, lender, NAICS industry, business type and demographics. Filter by business name, state, NAICS and amount. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "NSENsdbo1jyanyR7Q"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~sba-ppp-loans-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-sba-ppp-loans-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~sba-ppp-loans-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-sba-ppp-loans-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~sba-ppp-loans-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-sba-ppp-loans-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxLoans": {
"title": "Max Loans",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of loan records to collect. Optional."
},
"businessName": {
"title": "Business name",
"type": "string",
"description": "Optional. Keep only loans whose borrower name contains this text (for example 'coffee', 'dental', 'logistics'). Case-insensitive partial match."
},
"state": {
"title": "State",
"type": "string",
"description": "Optional. Two-letter US state code of the borrower (for example CA, TX, NY, FL)."
},
"naicsCode": {
"title": "NAICS code",
"type": "string",
"description": "Optional. Exact 6-digit NAICS industry code to filter by (for example 722511 for full-service restaurants)."
},
"minAmount": {
"title": "Minimum loan amount (USD)",
"type": "integer",
"description": "Optional. Only return loans with a current approval amount at or above this value."
},
"maxAmount": {
"title": "Maximum loan amount (USD)",
"type": "integer",
"description": "Optional. Only return loans with a current approval amount at or below this value."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```