# ARPA-H Awards Directory Apify Actor (`tehsnarf/arpa-h-awards-directory`) Actor Scrapes the public ARPA-H awards directory and award detail pages into structured records. - **URL**: https://apify.com/tehsnarf/arpa-h-awards-directory.md - **Developed by:** [Chris Hoover](https://apify.com/tehsnarf) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ARPA-H Awards Directory Apify Actor Scrapes the public ARPA-H awards directory into structured award records with detail-page metadata, award bodies, and source URLs. ### What it does - Crawls ARPA-H award listing pages and follows the public award detail pages. - Captures the award title, award type, activity/program, award start date, award amount, prime awardee, PI names, location, managing office, and the detail body text. - Stops cleanly at the configured `maxItems` and respects the platform charging limit. ### Use cases 1. Track new ARPA-H awards for biotech business development and grant intelligence. 2. Monitor public awardee activity by program, office, or award year. 3. Build curated funding lead lists from a narrow federal health-innovation dataset. ### Input - `startUrls`: directory pages or direct award detail URLs. - `maxItems`: maximum records to emit. - `startPage`: first directory page to crawl when `startUrls` is not supplied. - `keyword`, `awardType`, `managingOffice`, `year`: optional directory filters. ### Output fields | Field | Type | Description | |---|---|---| | award_id | string | Numeric award ID from the URL | | award_title | string | Award title | | award_url | string | Canonical award detail URL | | award_type | string | Award type | | award_activity | string | Activity/program label | | summary_text | string | Directory summary text | | body_text | string | Detail-page body text | | award_start_date | date | Award start date | | award_amount_text | string | Displayed award amount | | prime_awardee | string | Prime awardee organization | | principal_investigators | array | Public PI names | | location | string | Public location | | managing_office | string | Managing office | | source_page_url | string | Scraped page URL | | scraped_timestamp | date | UTC scrape timestamp | ### Example ```json { "award_id": "4496", "award_title": "SCOPE: Scalable Cell Therapies Using Optimized Phenotyping and Enrichment", "award_url": "https://arpa-h.gov/explore-funding/awards/4496", "award_type": "Mission Office Award", "award_activity": "Scalable Solutions Project", "summary_text": "In this project, Exthymic is developing a first-in-class, end-to-end, automated manufacturing cell therapy platform to enable adaptive process control...", "award_start_date": "2026-06-18", "award_amount_text": "Up to $25M", "prime_awardee": "Exthymic Corporation", "principal_investigators": ["Rich Stoner"], "location": "San Diego, CA", "managing_office": "Scalable Solutions Office", "source_page_url": "https://arpa-h.gov/explore-funding/awards", "scraped_timestamp": "2026-07-09T12:50:29.518942+00:00" } ```` ### Pricing Recommended price: $12.99 per 1,000 results. Example costs: - 100 results: $1.30 - 500 results: $6.50 - 1,000 results: $12.99 - 5,000 results: $64.95 # Actor input Schema ## `startUrls` (type: `array`): ARPA-H awards directory or award detail URLs to scrape ## `maxItems` (type: `integer`): Maximum number of award records to emit ## `startPage` (type: `integer`): First directory page to crawl when no start URLs are provided ## `keyword` (type: `string`): Optional keyword filter for the directory ## `awardType` (type: `string`): Optional award type filter: Initiative Award, Mission Office Award, Program Award, or Small Business Award ## `managingOffice` (type: `string`): Optional managing office filter ## `year` (type: `string`): Optional award year filter from 2022 through 2026 ## Actor input object example ```json { "startUrls": [ { "url": "https://arpa-h.gov/explore-funding/awards" } ], "maxItems": 100, "startPage": 0 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("tehsnarf/arpa-h-awards-directory").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("tehsnarf/arpa-h-awards-directory").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 tehsnarf/arpa-h-awards-directory --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tehsnarf/arpa-h-awards-directory", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ARPA-H Awards Directory Apify Actor", "description": "Scrapes the public ARPA-H awards directory and award detail pages into structured records.", "version": "0.1", "x-build-id": "09hNk9dRxiviJZZLu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tehsnarf~arpa-h-awards-directory/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tehsnarf-arpa-h-awards-directory", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tehsnarf~arpa-h-awards-directory/runs": { "post": { "operationId": "runs-sync-tehsnarf-arpa-h-awards-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tehsnarf~arpa-h-awards-directory/run-sync": { "post": { "operationId": "run-sync-tehsnarf-arpa-h-awards-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "ARPA-H awards directory or award detail URLs to scrape", "default": [ { "url": "https://arpa-h.gov/explore-funding/awards" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of award records to emit", "default": 100 }, "startPage": { "title": "Start page", "minimum": 0, "maximum": 1000, "type": "integer", "description": "First directory page to crawl when no start URLs are provided", "default": 0 }, "keyword": { "title": "Keyword", "type": "string", "description": "Optional keyword filter for the directory" }, "awardType": { "title": "Award type", "type": "string", "description": "Optional award type filter: Initiative Award, Mission Office Award, Program Award, or Small Business Award" }, "managingOffice": { "title": "Managing office", "type": "string", "description": "Optional managing office filter" }, "year": { "title": "Award year", "type": "string", "description": "Optional award year filter from 2022 through 2026" } } }, "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 } } } } } } } } } } ```