# Small Business Innovation Research STTR Scraper (`fortuitous_pirate/sbir-sttr-scraper`) Actor - **URL**: https://apify.com/fortuitous\_pirate/sbir-sttr-scraper.md - **Developed by:** [Fortuitous Pirate](https://apify.com/fortuitous_pirate) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 result items 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 ## SBIR/STTR Awards Scraper ### Overview Scrapes Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) federal awards data. Uses the SBIR. gov API with automatic CSV fallback when API is unavailable. ### Features - Search by keywords to find specific results - Filter results by category or type ### Use Cases - **Track** - Track federal government data releases and updates - **Build** - Build datasets for policy research and analysis - **Monitor** - Monitor regulatory changes and compliance requirements - **Aggregate** - Aggregate public government data for transparency projects ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `searchType` | string | Type of search to perform | `agency` | | `agency` | string | Federal agency code (e.g., DOD, HHS, NASA, NSF, DOE, USDA, EPA, DOC, ED, DOT,... | `` | | `firm` | string | Search by company/firm name (partial match supported) | | | `year` | integer | Filter by award year (e.g., 2023) | | | `researchInstitution` | string | Search by research institution name | | | `keyword` | string | Search awards by keyword in title/abstract | | | `program` | string | Filter by program type | `` | | `phase` | string | Filter by award phase | `` | | `state` | string | Filter by US state (2-letter code, e.g., CA, NY, TX) | | | `minAwardAmount` | integer | Minimum award amount in USD | | | `maxAwardAmount` | integer | Maximum award amount in USD | | | `startDate` | string | Filter awards from this date (MM/DD/YYYY format) | | | `endDate` | string | Filter awards until this date (MM/DD/YYYY format) | | | `limit` | integer | Maximum number of awards to return (0 for all) | `100` | | `useCSVFallback` | boolean | Fall back to CSV download if API is unavailable (recommended - the API is oft... | true | ### Output Example Each result contains structured data like this: ```json { "firm": "Smith & Associates", "award_title": "Sample award_title", "agency": "Department of Commerce", "phase": "Sample phase", "program": "Sample program", "award_amount": 50000, "award_year": "Sample award_year", "state": "CA", "city": "San Francisco", "pi_name": "SBIR/STTR Awards Sample Item", "abstract": "Detailed description of the item..." } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.0015** per result - **$1.50** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [SBIR/STTR Awards Scraper](https://apify.com/fortuitous_pirate/sbir-sttr-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~sbir-sttr-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/sbir-sttr-scraper").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect SBIR/STTR Awards Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `searchType` (type: `string`): Type of search to perform ## `agency` (type: `string`): Federal agency code (e.g., DOD, HHS, NASA, NSF, DOE, USDA, EPA, DOC, ED, DOT, DHS) ## `firm` (type: `string`): Search by company/firm name (partial match supported) ## `year` (type: `integer`): Filter by award year (e.g., 2023) ## `researchInstitution` (type: `string`): Search by research institution name ## `keyword` (type: `string`): Search awards by keyword in title/abstract ## `program` (type: `string`): Filter by program type ## `phase` (type: `string`): Filter by award phase ## `state` (type: `string`): Filter by US state (2-letter code, e.g., CA, NY, TX) ## `minAwardAmount` (type: `integer`): Minimum award amount in USD ## `maxAwardAmount` (type: `integer`): Maximum award amount in USD ## `startDate` (type: `string`): Filter awards from this date (MM/DD/YYYY format) ## `endDate` (type: `string`): Filter awards until this date (MM/DD/YYYY format) ## `limit` (type: `integer`): Maximum number of awards to return (0 for all) ## `useCSVFallback` (type: `boolean`): Fall back to CSV download if API is unavailable (recommended - the API is often under maintenance) ## Actor input object example ```json { "searchType": "agency", "agency": "", "program": "", "phase": "", "limit": 100, "useCSVFallback": true } ``` # 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("fortuitous_pirate/sbir-sttr-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 = {} # Run the Actor and wait for it to finish run = client.actor("fortuitous_pirate/sbir-sttr-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 '{}' | apify call fortuitous_pirate/sbir-sttr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fortuitous_pirate/sbir-sttr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Small Business Innovation Research STTR Scraper", "version": "1.0", "x-build-id": "dxirigIlUbJv9nzVj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fortuitous_pirate~sbir-sttr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fortuitous_pirate-sbir-sttr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fortuitous_pirate~sbir-sttr-scraper/runs": { "post": { "operationId": "runs-sync-fortuitous_pirate-sbir-sttr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fortuitous_pirate~sbir-sttr-scraper/run-sync": { "post": { "operationId": "run-sync-fortuitous_pirate-sbir-sttr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchType": { "title": "Search Type", "enum": [ "agency", "firm", "year", "researchInstitution", "keyword" ], "type": "string", "description": "Type of search to perform", "default": "agency" }, "agency": { "title": "Agency Code", "enum": [ "", "DOD", "HHS", "NASA", "NSF", "DOE", "USDA", "EPA", "DOC", "ED", "DOT", "DHS" ], "type": "string", "description": "Federal agency code (e.g., DOD, HHS, NASA, NSF, DOE, USDA, EPA, DOC, ED, DOT, DHS)", "default": "" }, "firm": { "title": "Company Name", "type": "string", "description": "Search by company/firm name (partial match supported)" }, "year": { "title": "Award Year", "minimum": 1983, "maximum": 2030, "type": "integer", "description": "Filter by award year (e.g., 2023)" }, "researchInstitution": { "title": "Research Institution", "type": "string", "description": "Search by research institution name" }, "keyword": { "title": "Keyword", "type": "string", "description": "Search awards by keyword in title/abstract" }, "program": { "title": "Program", "enum": [ "", "SBIR", "STTR" ], "type": "string", "description": "Filter by program type", "default": "" }, "phase": { "title": "Phase", "enum": [ "", "Phase I", "Phase II", "Phase III" ], "type": "string", "description": "Filter by award phase", "default": "" }, "state": { "title": "State", "maxLength": 2, "type": "string", "description": "Filter by US state (2-letter code, e.g., CA, NY, TX)" }, "minAwardAmount": { "title": "Minimum Award Amount", "minimum": 0, "type": "integer", "description": "Minimum award amount in USD" }, "maxAwardAmount": { "title": "Maximum Award Amount", "minimum": 0, "type": "integer", "description": "Maximum award amount in USD" }, "startDate": { "title": "Start Date", "type": "string", "description": "Filter awards from this date (MM/DD/YYYY format)" }, "endDate": { "title": "End Date", "type": "string", "description": "Filter awards until this date (MM/DD/YYYY format)" }, "limit": { "title": "Maximum Results", "minimum": 0, "type": "integer", "description": "Maximum number of awards to return (0 for all)", "default": 100 }, "useCSVFallback": { "title": "Use CSV Fallback", "type": "boolean", "description": "Fall back to CSV download if API is unavailable (recommended - the API is often under maintenance)", "default": true } } }, "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 } } } } } } } } } } ```