# PPP Loan Finder API - 11M US SMBs + Enrichment (`makework36/ppp-loan-finder`) Actor Search 11M+ US small businesses that received COVID PPP loans (SBA data). Filter by state, name, industry, amount. Optional website & email enrichment. - **URL**: https://apify.com/makework36/ppp-loan-finder.md - **Developed by:** [deusex machine](https://apify.com/makework36) (community) - **Categories:** Lead generation, Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 ppp loan records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## PPP Loan Finder API — 11M US SMBs + Enrichment Search the public **SBA Paycheck Protection Program (PPP)** loan database — over **11 million U.S. small businesses** that received COVID-era loans — and turn it into a clean, queryable lead list. Filter by state, company name, industry (NAICS), business type, city or loan amount. Optionally enrich every borrower with a website, LinkedIn, Facebook and secondary emails. This actor is the fastest path from "I need a list of small business owners in the US" to a fully-enriched CSV of real, verified companies — with phone-quality data quality, free SBA-FOIA provenance, and no proprietary signup wall. If you have searched for **PPP loan database**, **PPP loan lookup by name free**, **PPP loan list by state**, **PPP recipients by zip code**, **PPP loan search by name**, or **small business email list**, this is the actor. Same data that powers ProPublica's PPP search, Federal Pay, USA Today's PPP database — but exposed as an API you can run on a schedule and export to CSV. > 💡 The SBA PPP dataset is the largest open dataset of U.S. SMBs that exists. Every funded loan was published under FOIA. This actor wraps it as a real lead-gen tool. --- ### 🚀 Why this PPP Loan Finder API - **~11M US small business records** — every borrower the SBA published under FOIA after the Paycheck Protection Program ended - **Two tiers** — loans **over $150K** (~1M big borrowers, full address) and **$150K and under** (~10M small borrowers) - **Real filters** — state, NAICS industry prefix, business type, city, loan amount range, name substring - **Demographics included** — race, ethnicity, gender, veteran status, nonprofit flag, rural / urban, HUBZone - **Servicing + originating lender** — which bank handled the loan (key signal for fintech / banking outbound) - **Forgiveness info** — forgiveness amount + date when published - **Web enrichment** — per borrower, find a website, LinkedIn, Facebook, secondary emails via SERP - **No signup, no API key** — runs against the public-domain SBA dataset - **Outputs** — Apify Dataset → CSV, JSON, Excel, XML, RSS, HTML Built for B2B SDRs targeting US SMBs, fintech and lender outbound, payroll / insurance / SaaS vendors, agencies running local-business prospecting, market analysts sizing industries, and journalists / researchers auditing the program. --- ### 📊 What this PPP Loan Finder extracts | Field | Description | | --- | --- | | `loanNumber` | SBA loan number | | `dateApproved` | Loan approval date | | `status` | Current loan status (Paid in Full, Charged Off, Exemption 4, …) | | `statusDate` | Last status update date | | `borrowerName` | Business legal name | | `borrowerAddress` | Street address (large tier only) | | `borrowerCity` | City | | `borrowerState` | 2-letter state code | | `borrowerZip` | ZIP code | | `initialApprovalAmount` | Original loan amount (USD) | | `currentApprovalAmount` | Current loan amount after revisions | | `term` | Loan term in months | | `forgivenessAmount` | Amount forgiven (USD), `null` if not forgiven | | `forgivenessDate` | Forgiveness date | | `jobsReported` | Self-reported jobs at application | | `naicsCode` | NAICS industry code (6 digits) | | `naicsCategory` | NAICS top-level sector | | `businessType` | Legal entity (Corporation, LLC, Sole Proprietorship, …) | | `businessAgeDescription` | Existing > 2 years / New / Existing > 5 years … | | `franchiseName` | Franchise name if applicable | | `ruralUrbanIndicator` | `R` rural / `U` urban | | `hubzoneIndicator` | Whether the business is in a HUBZone | | `lmiIndicator` | Whether the business is in a low-income area | | `race` | Borrower race (when disclosed) | | `ethnicity` | Hispanic / Not Hispanic / Not disclosed | | `gender` | Female / Male / Not disclosed | | `veteran` | Veteran / Not veteran / Not disclosed | | `nonProfit` | Whether the business is a nonprofit | | `servicingLenderName` | Lender currently servicing the loan | | `servicingLenderCity` | Servicing lender city | | `servicingLenderState` | Servicing lender state | | `originatingLender` | Lender that originated the loan | | `originatingLenderCity` | Originating lender city | | `originatingLenderState` | Originating lender state | | `enrichment.website` | Borrower website (optional) | | `enrichment.linkedin` | Borrower LinkedIn page (optional) | | `enrichment.facebook` | Borrower Facebook page (optional) | | `enrichment.emails` | Secondary emails found via SERP (optional) | | `enrichment.phone` | Phone number(s) found on the website (optional) | | `sourceUrl` | Direct link to the SBA record | --- ### 🎯 Loan size tiers The SBA published PPP loans in two slices because the volume is enormous. Pick the tier that matches your prospecting. #### `large` — Loans over $150K (~1M records, fastest) These are the bigger SMBs (10–500 employees typically). Address is included. Best for B2B outbound where deal size > $1K ACV. ```json { "tier": "large", "state": "TX", "naicsCode": "23", "minLoanAmount": 200000, "maxLoanAmount": 1000000, "maxResults": 500, "enrichWithGoogle": true, "enrichLimit": 200 } ```` #### `small` — Loans $150K and under (~10M records, state required) These are the very small businesses: solo operators, contractors, micro-businesses. **State is required** for this tier because otherwise the dataset is too large to scan in a single run. ```json { "tier": "small", "state": "FL", "city": "Miami", "businessType": "LLC", "minLoanAmount": 20000, "maxResults": 1000 } ``` #### `all` — Both tiers (state required) For when you need a complete SMB inventory in a given state. ```json { "tier": "all", "state": "CA", "naicsCode": "72", "maxResults": 5000 } ``` *** ### 💡 Use cases This PPP Loan Finder is built for **B2B lead generation, fintech outbound, agency prospecting, and journalism / research** on the U.S. small-business landscape. - **B2B SDR prospecting against US SMBs** — payroll, accounting, insurance, HR-tech, POS, fintech, ecom-tools, agency services. The SBA dataset is the cleanest national list of real, registered SMBs by industry - **Small business email list** — combine `enrichWithGoogle: true` with an industry + state filter to build a verified, opt-in-able outreach list (emails come from the borrower's own public website / LinkedIn) - **Lender refinancing / alternative financing outbound** — pull every SMB whose PPP loan is still active or recently paid off; offer SBA 7(a), invoice factoring, lines of credit - **Local SEO and digital-agency lead-gen** — small businesses in a city without a website are the highest-converting market for "we build websites" agencies. Filter by `state` + `city`, then look for borrowers where `enrichment.website` is `null` - **Insurance prospecting** — commercial liability, workers' comp, cyber. Combine `jobsReported >= 5` + industry filter - **Real estate / commercial leasing** — find borrowers in a market that may need bigger office or warehouse space (use `jobsReported` and `currentApprovalAmount` as growth signals) - **CRM enrichment** — match existing accounts on company name + state to pull NAICS, jobs, and lender data - **Market sizing by industry / region** — count PPP recipients by NAICS and state to estimate the actual operating SMB count in a market - **List of small business owners in US** — the SBA published the borrower legal name on every funded loan. This is the most exhaustive list that exists, free and FOIA-clean - **Bank competitive intelligence** — see which banks (servicing + originating lenders) own the SMB relationships in your geography. Use this to target bank reps for partnership deals - **Journalism / academic research** — audit PPP fraud, demographic disparities, industry concentration. Every record is public-domain *** ### 🧾 Example output ```json { "loanNumber": "1234567890", "dateApproved": "2021-02-19", "status": "Paid in Full", "borrowerName": "Lone Star Construction LLC", "borrowerAddress": "1500 Main St", "borrowerCity": "Houston", "borrowerState": "TX", "borrowerZip": "77002", "initialApprovalAmount": 285000, "currentApprovalAmount": 285000, "term": 60, "forgivenessAmount": 285000, "forgivenessDate": "2022-05-10", "jobsReported": 17, "naicsCode": "236220", "naicsCategory": "Construction", "businessType": "Limited Liability Company(LLC)", "ruralUrbanIndicator": "U", "servicingLenderName": "Chase Bank", "originatingLender": "Chase Bank", "race": "Not Disclosed", "gender": "Male Owned", "veteran": "Non-Veteran", "nonProfit": false, "enrichment": { "website": "https://lonestarconstruction.com", "linkedin": "https://www.linkedin.com/company/lone-star-construction-tx", "facebook": null, "emails": ["info@lonestarconstruction.com", "estimating@lonestarconstruction.com"], "phone": "+1-713-555-0142" }, "sourceUrl": "https://data.sba.gov/dataset/ppp-foia/loan/1234567890" } ``` *** ### 🆚 Compared to alternatives | Tool | Loan filters | Demographics | Web enrichment | All states | Export | Cost | | --- | --- | --- | --- | --- | --- | --- | | **PPP Loan Finder API** (this actor) | ✅ All fields | ✅ Race, gender, veteran | ✅ Optional | ✅ All 50 | CSV / JSON / Excel | Pay-per-event | | ProPublica PPP | ⚠️ Limited UI | ⚠️ Partial | ❌ | ✅ | ❌ HTML only | Free, no API | | FederalPay PPP | ⚠️ Limited UI | ❌ | ❌ | ✅ | ⚠️ Manual CSV | Free, no API | | USA Today PPP database | ⚠️ Limited UI | ❌ | ❌ | ✅ | ❌ | Free, no API | | SBA's own portal | ⚠️ Hard to query | ✅ | ❌ | ✅ | ⚠️ Bulk downloads | Free, raw | | Apollo.io / ZoomInfo | ⚠️ Generic SMB | ❌ | ✅ | ✅ | ✅ | $$$ subscription | If you only need to look up one company by name, ProPublica or FederalPay are fine. If you need a real list of US SMBs filtered by NAICS, state, loan size and enriched with website + emails, this actor is the fastest path. *** ### ⚙️ Input parameters reference | Parameter | Type | Default | Description | | --- | --- | --- | --- | | `tier` | string enum | `large` | `large` (>$150K) / `small` (≤$150K, state required) / `all` | | `state` | string | — | 2-letter state code. Required for `small` and `all` | | `companyNameContains` | string | — | Case-insensitive substring on `borrowerName` | | `naicsCode` | string | — | NAICS prefix (`23` Construction, `72` Hospitality, `54` Professional services) | | `businessType` | string | — | `Corporation`, `LLC`, `Sole Proprietorship`, … | | `minLoanAmount` | integer | — | Minimum `initialApprovalAmount` (USD) | | `maxLoanAmount` | integer | — | Maximum `initialApprovalAmount` (USD) | | `city` | string | — | Case-insensitive substring on `borrowerCity` | | `maxResults` | integer | `100` | Hard cap (1–10,000) | | `enrichWithGoogle` | boolean | `false` | Per-borrower web enrichment (website / LinkedIn / emails) | | `enrichLimit` | integer | `50` | Max borrowers to enrich (1–1,000) | | `proxyConfig` | proxy | residential | Used for enrichment only | *** ### 💰 Pricing & cost Pay-per-event: - **Per borrower returned** — small fee, scales linearly - **Per enriched borrower** — only when `enrichWithGoogle: true`, capped by `enrichLimit` A typical run pulling 500 construction companies in Texas with no enrichment costs less than a coffee. Adding enrichment to 200 of them stays well under $5 per run. Failed requests, rate-limit backoffs and dataset-side empty pages are not charged. *** ### 🧭 Quick reference — popular NAICS prefixes | NAICS prefix | Industry | | --- | --- | | `11` | Agriculture, Forestry, Fishing | | `21` | Mining | | `22` | Utilities | | `23` | Construction | | `31`–`33` | Manufacturing | | `42` | Wholesale Trade | | `44`–`45` | Retail Trade | | `48`–`49` | Transportation and Warehousing | | `51` | Information / Tech / Media | | `52` | Finance and Insurance | | `53` | Real Estate / Rental / Leasing | | `54` | Professional, Scientific, Technical Services | | `56` | Administrative / Support / Waste Management | | `61` | Educational Services | | `62` | Health Care and Social Assistance | | `71` | Arts, Entertainment, Recreation | | `72` | Accommodation and Food Services | | `81` | Other Services (incl. repair, personal services) | Use the 2-digit prefix for broad sweeps (`23` for all construction), or a longer prefix for finer cuts (`238` specialty trade contractors). *** ### ❓ Frequently asked questions **Is this data real and verified?** Yes. Every record comes from the SBA's own FOIA release of the Paycheck Protection Program. The dataset is the legal source of truth — banks and courts use it. **Is the PPP loan database free?** The raw SBA dataset is public-domain and free. This actor charges only for the work of filtering, enriching and delivering it as a clean stream you can use in a CRM or outbound tool. **Is the borrower's address always present?** For loans over $150K (`large` tier) — yes. For loans $150K and under (`small` tier) the SBA published city + state + ZIP only; the precise street address is redacted. **Why is state required for the small tier?** The small-tier dataset is ~10M records split across 12 huge CSV files. Filtering by state lets the actor download only the slice you need. **Can I get phone numbers?** The SBA does not publish phone numbers. The enrichment step will pull a phone if the borrower's public website lists one (most do). **Can I get borrower emails?** The SBA does not publish emails. The enrichment step pulls any emails the borrower has published on their own website, LinkedIn page, Facebook page or contact form. **How fresh is the data?** The SBA dataset is a snapshot of the closed-out PPP program (2020–2021 loans, with forgiveness data through 2023). The actor reads the latest published snapshot from `data.sba.gov`. **Can I get PPP loan lookup by name free?** Yes — set `companyNameContains` to a fragment of the borrower name. The base lookup is the same data ProPublica's PPP search uses, just exposed as an API. **Can I get a PPP loan list by zip code?** Set `state` + `city`. The actor returns `borrowerZip` per record, so you can post-filter by ZIP in the Dataset view. **Does this scraper work for EIDL loans (the other COVID program)?** Currently no — this actor focuses on PPP. EIDL has a separate dataset and a separate actor is on the roadmap. **Is this legal to use for outbound sales?** The dataset is public-domain. Outbound sales must still follow CAN-SPAM, TCPA, and state law. The actor does not generate or send any messages. **Can I run this on a schedule?** Yes — Apify Schedules supports cron expressions. Common pattern: weekly run with a fresh industry + state slice to keep your CRM warm. **Does enrichment really find websites and emails?** For most SMBs with a public web presence, yes. For solo proprietors with no website, enrichment returns `null`. The actor is honest about misses. **How does this compare to Apollo / ZoomInfo?** Apollo and ZoomInfo are great for tech companies and enterprise. For US Main-Street SMBs (plumbers, restaurants, contractors, retailers) the SBA PPP dataset is denser, cheaper, and FOIA-clean. **Can I integrate this with Claude, Cursor, or other AI agents?** Yes — call the actor via the Apify API from your agent, or wrap it with Apify's MCP server. *** ### 🔗 Other actors by makework36 Useful companions for B2B and SMB lead-gen workflows: - [FMCSA Trucking API](https://apify.com/makework36/fmcsa-trucking-api) — every US trucking carrier with DOT/MC, address, fleet size + enrichment - [NPI Registry API](https://apify.com/makework36/npi-registry-api) — every US healthcare provider with NPI, taxonomy, address + enrichment - [Website Email & Contact Finder](https://apify.com/makework36/email-finder-scraper) — extract emails from any URL - [Google Maps Scraper](https://apify.com/makework36/google-maps-scraper-full) — local business data + emails + phones at $1/1K - [Facebook Ad Library Scraper](https://apify.com/makework36/facebook-adlib-scraper) — competitor ad intelligence - [IndiaMART Suppliers Scraper](https://apify.com/makework36/indiamart-suppliers-scraper) — B2B suppliers with verified phones + GST - [Reddit SaaS Leads Scraper](https://apify.com/makework36/reddit-leads-saas) — find startup pain points and early adopters - [Reddit Real Estate Leads](https://apify.com/makework36/reddit-realestate-scraper) — buyers, investors, landlords - [Shopify Products Scraper](https://apify.com/makework36/shopify-products-scraper) — any Shopify store catalog - [Trustpilot Scraper API](https://apify.com/makework36/trustpilot-reviews-scraper) — reviews + ratings - [Substack Scraper](https://apify.com/makework36/substack-scraper) — newsletter posts and authors - [Lovable Sites Scraper](https://apify.com/makework36/lovable-sites-scraper) — discover `.lovable.app` apps *** ### 📝 Changelog - **v0.1** — Initial release. Three tiers (large / small / all), 30+ fields per borrower, optional Google enrichment, all 50 states. *** ### 🛠️ Support Missing a field, hit a bug, need EIDL? Open an issue or message me directly from the Apify Console. Fast turnaround for paying users. # Actor input Schema ## `tier` (type: `string`): Which SBA dataset to search. 'large' = loans over $150K (~1M records, fast). 'small' = loans up to $150K (~10M records, slower — uses 12 split files). ## `state` (type: `string`): Filter by borrower state. Required for `small` and `all` tiers (otherwise the dataset is huge). ## `companyNameContains` (type: `string`): Case-insensitive substring match on BorrowerName. ## `naicsCode` (type: `string`): Filter by NAICS industry code (prefix match). E.g. '23' = Construction, '54' = Professional services. ## `businessType` (type: `string`): Filter by business legal type, e.g. 'Corporation', 'LLC', 'Sole Proprietorship'. ## `minLoanAmount` (type: `integer`): Minimum InitialApprovalAmount. ## `maxLoanAmount` (type: `integer`): Maximum InitialApprovalAmount. ## `city` (type: `string`): Case-insensitive substring match on BorrowerCity. ## `maxResults` (type: `integer`): Hard cap on records to return. ## `enrichWithGoogle` (type: `boolean`): For each borrower, find website, LinkedIn, Facebook page, and secondary emails using an internal SERP fetcher. No API key required. ## `enrichLimit` (type: `integer`): Max number of borrowers to enrich. ## `proxyConfig` (type: `object`): Apify proxy. Only used during enrichment, not for the SBA CSV download. ## Actor input object example ```json { "tier": "large", "maxResults": 100, "enrichWithGoogle": false, "enrichLimit": 50, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `loans` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("makework36/ppp-loan-finder").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 = {} # Run the Actor and wait for it to finish run = client.actor("makework36/ppp-loan-finder").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 '{}' | apify call makework36/ppp-loan-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=makework36/ppp-loan-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PPP Loan Finder API - 11M US SMBs + Enrichment", "description": "Search 11M+ US small businesses that received COVID PPP loans (SBA data). Filter by state, name, industry, amount. Optional website & email enrichment.", "version": "1.0", "x-build-id": "h5ntgtdEx6Tbu5Ucc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/makework36~ppp-loan-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-makework36-ppp-loan-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/makework36~ppp-loan-finder/runs": { "post": { "operationId": "runs-sync-makework36-ppp-loan-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/makework36~ppp-loan-finder/run-sync": { "post": { "operationId": "run-sync-makework36-ppp-loan-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tier": { "title": "Loan size tier", "enum": [ "large", "small", "all" ], "type": "string", "description": "Which SBA dataset to search. 'large' = loans over $150K (~1M records, fast). 'small' = loans up to $150K (~10M records, slower — uses 12 split files).", "default": "large" }, "state": { "title": "State (2-letter code)", "pattern": "^[A-Za-z]{2}$", "type": "string", "description": "Filter by borrower state. Required for `small` and `all` tiers (otherwise the dataset is huge)." }, "companyNameContains": { "title": "Company name contains", "type": "string", "description": "Case-insensitive substring match on BorrowerName." }, "naicsCode": { "title": "NAICS code prefix", "type": "string", "description": "Filter by NAICS industry code (prefix match). E.g. '23' = Construction, '54' = Professional services." }, "businessType": { "title": "Business type", "type": "string", "description": "Filter by business legal type, e.g. 'Corporation', 'LLC', 'Sole Proprietorship'." }, "minLoanAmount": { "title": "Min loan amount (USD)", "minimum": 0, "type": "integer", "description": "Minimum InitialApprovalAmount." }, "maxLoanAmount": { "title": "Max loan amount (USD)", "minimum": 0, "type": "integer", "description": "Maximum InitialApprovalAmount." }, "city": { "title": "City", "type": "string", "description": "Case-insensitive substring match on BorrowerCity." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on records to return.", "default": 100 }, "enrichWithGoogle": { "title": "Enrich with web search", "type": "boolean", "description": "For each borrower, find website, LinkedIn, Facebook page, and secondary emails using an internal SERP fetcher. No API key required.", "default": false }, "enrichLimit": { "title": "Enrich limit", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Max number of borrowers to enrich.", "default": 50 }, "proxyConfig": { "title": "Proxy", "type": "object", "description": "Apify proxy. Only used during enrichment, not for the SBA CSV download.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```