# NIH RePORTER Scraper - Grants, PIs & Linked Publications (`jungle_synthesizer/nih-reporter-grants-publications-scraper`) Actor Scrape NIH-funded research projects from the official RePORTER v2 API. Extract PI names, award amounts, activity codes (R01, R21, K99), study sections, dates, and active/terminated status. Optionally pull linked publications (PMIDs). Filter by keyword, fiscal year, PI, org, state, or institute. - **URL**: https://apify.com/jungle\_synthesizer/nih-reporter-grants-publications-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## NIH RePORTER Scraper - Grants, PIs & Linked Publications Extract NIH-funded research project records from the official **RePORTER v2 API** — no account or proxy required. Retrieve PI names, award amounts, activity codes, study sections, dates, active/terminated status, and optionally linked PubMed publication IDs. ### What you get Each output record corresponds to one NIH project award (one fiscal-year slice). Fields include: | Field | Description | |---|---| | `project_num` | Full NIH project number (e.g. `5R01CA123456-05`) | | `core_project_num` | Core project number — groups subprojects and multi-year awards | | `appl_id` | Application ID | | `fiscal_year` | NIH fiscal year | | `project_title` | Project title | | `abstract_text` | Full project abstract | | `phr_text` | Public health relevance statement | | `activity_code` | NIH activity code (R01, R21, K99, F31, P30, U54, …) | | `agency_ic_admin` | Administering institute/center (NCI, NIAID, NHLBI, …) | | `award_amount` | Total award amount (USD) | | `direct_cost_amt` | Direct costs (USD) | | `indirect_cost_amt` | Indirect costs (USD) | | `contact_pi_name` | Contact PI name | | `principal_investigators` | Full PI roster — each entry is a JSON string with `full_name`, `profile_id`, `is_contact_pi` | | `organization_name` | Funded institution | | `org_state` | US state of funded institution | | `is_active` | Whether the project is currently active | | `arra_funded` | Whether funded via ARRA (stimulus) | | `budget_start` / `budget_end` | Budget period dates | | `project_start_date` / `project_end_date` | Project period dates | | `full_study_section` | NIH study section that reviewed the application | | `agency_ic_fundings` | IC-level funding breakdown (`FY:IC:amount` strings) | | `spending_categories` | NIH spending categories | | `linked_publication_pmids` | PubMed IDs of linked publications (when **Include Linked Publications** is enabled) | | `project_detail_url` | Direct link to the RePORTER project-details page | ### Filtering options | Input | Effect | |---|---| | **Keyword / Text Search** | Search across title, abstract, and terms | | **Fiscal Years** | Limit to one or more NIH fiscal years (strongly recommended for large pulls) | | **Activity Codes** | E.g. `R01`, `R21`, `K99`, `F31`, `P30`, `U54` | | **Administering Institute** | E.g. `NCI`, `NIAID`, `NHLBI`, `NIGMS` | | **PI Names** | Filter by PI last name | | **Organization Names** | Filter by funded institution | | **Organization States** | Filter by US state (e.g. `CA`, `MA`, `NY`) | | **Active Projects Only** | Exclude terminated/closed awards | | **Newly Added Only** | Only records recently added to RePORTER | | **Include Linked Publications** | Fetch linked PubMed IDs for each project | | **Max Items** | Cap on total records returned | ### API limits & pagination The NIH RePORTER v2 API enforces a hard cap of 15,000 rows per search query (offset + page size cannot exceed 15,000). For large pulls, specify one or more **Fiscal Years** — the scraper runs a separate query per year so each slice stays under the cap. A single fiscal year typically contains 60,000–100,000 awards; the scraper fetches up to 15,000 per year and logs a warning when the cap is reached. ### Use cases - **Grant landscape analysis** — map NIH funding across institutes, activity codes, and institutions - **PI profiling** — identify investigators and their award history - **Policy research** — track ARRA, COVID-response, or newly-terminated awards - **Publication pipeline** — link grants to downstream PubMed output - **Competitive intelligence** — benchmark funding in a specific disease area or geography ### Example output ```json { "project_num": "5R01CA123456-05", "core_project_num": "R01CA123456", "appl_id": 10987654, "fiscal_year": 2024, "project_title": "Novel Approaches to Targeted Cancer Therapy", "activity_code": "R01", "agency_ic_admin": "NCI", "award_amount": 512000, "direct_cost_amt": 350000, "indirect_cost_amt": 162000, "contact_pi_name": "DOE, JANE", "principal_investigators": [ "{\"full_name\":\"Jane Doe\",\"profile_id\":12345,\"is_contact_pi\":true,\"title\":\"Prof.\"}" ], "organization_name": "STANFORD UNIVERSITY", "org_state": "CA", "is_active": true, "arra_funded": false, "budget_start": "2024-04-01", "budget_end": "2025-03-31", "project_start_date": "2020-04-01", "project_end_date": "2025-03-31", "full_study_section": "Tumor Microenvironment Study Section", "agency_ic_fundings": ["2024:NCI:512000"], "spending_categories": ["Cancer"], "linked_publication_pmids": [], "project_detail_url": "https://reporter.nih.gov/project-details/R01CA123456", "status": "success" } ```` ### Data source All data is drawn from the [NIH Research Portfolio Online Reporting Tools (RePORTER)](https://reporter.nih.gov/) — a public database maintained by the National Institutes of Health. No authentication is required. The scraper calls the official v2 REST API and does not require a proxy. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `textQuery` (type: `string`): Free-text search across project title, abstract, and terms. Leave empty to browse by filters. ## `fiscalYears` (type: `array`): One or more NIH fiscal years (e.g. 2024, 2025). Recommended for large pulls to stay under the API 15k offset cap. ## `piNames` (type: `array`): Filter by PI last name(s) (e.g. 'Doudna', 'Collins'). ## `orgNames` (type: `array`): Filter by funded organization (e.g. 'STANFORD UNIVERSITY'). ## `orgStates` (type: `array`): Filter by organization US state code(s) (e.g. CA, MA, NY). ## `activityCodes` (type: `array`): NIH activity code(s) (e.g. R01, R21, K99, F31, P30, U54). ## `agencyIcAdmin` (type: `string`): Filter by administering IC (e.g. NCI, NIAID, NHLBI, NIGMS). ## `activeOnly` (type: `boolean`): Return only currently active projects. Disable to include closed/terminated awards (useful for the grant-termination story). ## `newlyAddedOnly` (type: `boolean`): Only projects added to RePORTER recently (incremental pulls). ## `includeLinkedData` (type: `boolean`): For each project, also fetch linked publication PMIDs. Adds one request per batch of 50 core project numbers. ## `maxItems` (type: `integer`): Maximum number of project records to return. Set to 0 for unlimited (use fiscalYears to paginate beyond the 15k API offset cap). ## `proxyConfiguration` (type: `object`): Optional. The NIH RePORTER API is public and does not require a proxy. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "fiscalYears": [ 2025 ], "activeOnly": false, "newlyAddedOnly": false, "includeLinkedData": false, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "textQuery": "", "fiscalYears": [ 2025 ], "agencyIcAdmin": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/nih-reporter-grants-publications-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "textQuery": "", "fiscalYears": [2025], "agencyIcAdmin": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/nih-reporter-grants-publications-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "textQuery": "", "fiscalYears": [ 2025 ], "agencyIcAdmin": "", "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/nih-reporter-grants-publications-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/nih-reporter-grants-publications-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NIH RePORTER Scraper - Grants, PIs & Linked Publications", "description": "Scrape NIH-funded research projects from the official RePORTER v2 API. Extract PI names, award amounts, activity codes (R01, R21, K99), study sections, dates, and active/terminated status. Optionally pull linked publications (PMIDs). Filter by keyword, fiscal year, PI, org, state, or institute.", "version": "0.1", "x-build-id": "GBFHwba8g4Ztr8nHJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~nih-reporter-grants-publications-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-nih-reporter-grants-publications-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/jungle_synthesizer~nih-reporter-grants-publications-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-nih-reporter-grants-publications-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/jungle_synthesizer~nih-reporter-grants-publications-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-nih-reporter-grants-publications-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", "required": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "textQuery": { "title": "Keyword / Text Search", "type": "string", "description": "Free-text search across project title, abstract, and terms. Leave empty to browse by filters." }, "fiscalYears": { "title": "Fiscal Years", "type": "array", "description": "One or more NIH fiscal years (e.g. 2024, 2025). Recommended for large pulls to stay under the API 15k offset cap.", "items": { "type": "string" } }, "piNames": { "title": "Principal Investigator Names", "type": "array", "description": "Filter by PI last name(s) (e.g. 'Doudna', 'Collins').", "items": { "type": "string" } }, "orgNames": { "title": "Organization Names", "type": "array", "description": "Filter by funded organization (e.g. 'STANFORD UNIVERSITY').", "items": { "type": "string" } }, "orgStates": { "title": "Organization States", "type": "array", "description": "Filter by organization US state code(s) (e.g. CA, MA, NY).", "items": { "type": "string" } }, "activityCodes": { "title": "Activity Codes", "type": "array", "description": "NIH activity code(s) (e.g. R01, R21, K99, F31, P30, U54).", "items": { "type": "string" } }, "agencyIcAdmin": { "title": "Administering Institute/Center", "type": "string", "description": "Filter by administering IC (e.g. NCI, NIAID, NHLBI, NIGMS)." }, "activeOnly": { "title": "Active Projects Only", "type": "boolean", "description": "Return only currently active projects. Disable to include closed/terminated awards (useful for the grant-termination story).", "default": false }, "newlyAddedOnly": { "title": "Newly Added Projects Only", "type": "boolean", "description": "Only projects added to RePORTER recently (incremental pulls).", "default": false }, "includeLinkedData": { "title": "Include Linked Publications", "type": "boolean", "description": "For each project, also fetch linked publication PMIDs. Adds one request per batch of 50 core project numbers.", "default": false }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of project records to return. Set to 0 for unlimited (use fiscalYears to paginate beyond the 15k API offset cap).", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. The NIH RePORTER API is public and does not require a proxy." } } }, "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 } } } } } } } } } } ```