# NSF Awards Scraper - Research Grants, PIs & Funding Data (`jungle_synthesizer/nsf-awards-research-funding-scraper`) Actor Scrape NSF awards from the research.gov API. Returns title, abstract, awardee, PI name/email, program officer name/email/phone, funds obligated, estimated total, directorate, division, program codes, CFDA, dates, and performance location. Filter by keyword, PI, org, state, date range, or CFDA. - **URL**: https://apify.com/jungle\_synthesizer/nsf-awards-research-funding-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, 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 ## NSF Awards Scraper - Research Grants, PIs & Funding Data Extract NSF award records from the official [research.gov Awards API](https://www.research.gov/common/webapi/awardapisearch-v1.htm). Returns rich structured data including award title, abstract, awardee organization, principal investigator (name + email), NSF program officer (name/email/phone), funds obligated and estimated totals, directorate and division, program element/reference codes, CFDA numbers, start/expiration dates, and performance location. Filter by keyword, PI name, awardee organization, state, date range, and CFDA program. ### What You Get Each record contains: - **Award identification**: award ID, title, CFDA number, directorate/division abbreviations, program element and reference codes - **Awardee details**: organization name, city, state, zip, country, UEI number - **Principal Investigator (PI)**: first/last/full name, **email address** - **Co-PIs**: semicolon-separated list of co-PI names - **Program Officer (PO)**: name, **email**, **phone** — the key contact at NSF - **Funding**: funds obligated (USD), estimated total (USD) - **Dates**: start date, expiration date, latest amendment date - **Program context**: NSF funding program name, primary program, org long name - **Performance location**: city, state, zip, country (may differ from awardee) - **Public access mandate flag** - **Direct URL** to the NSF award detail page ### Use Cases | Buyer | What They Use It For | |---|---| | University sponsored-programs offices | Track competitor institutions' NSF funding; identify gaps in their own programs | | Grant writers | Research NSF program officers by directorate; identify active programs and funded PIs | | Biotech / deep-tech VCs | Identify university researchers with NSF backing as potential spinout founders | | Research-policy analysts | Analyze funding flows by directorate, state, or institution over time | | Competitive-intel teams | Track who NSF is funding in a specific technology area | | Lead-gen / BD teams | PI and PO email fields for direct outreach in the academic/government sector | ### Input Parameters | Parameter | Type | Description | |---|---|---| | **keyword** | string | Free-text search across award title and abstract | | **piName** | string | Filter by PI name (e.g. `Smith`) | | **awardeeName** | string | Filter by awardee institution (e.g. `Massachusetts Institute of Technology`) | | **awardeeStateCode** | string | Filter by US state code (e.g. `CA`, `MA`, `NY`) | | **dateStart** | string | Earliest award start date, `MM/DD/YYYY` format | | **dateEnd** | string | Latest award start date, `MM/DD/YYYY` format | | **cfdaNumber** | string | CFDA program number (e.g. `47.070` for Computer & Information Science) | | **maxItems** | integer | Maximum records to return. Default 10. Set 0 for unlimited (use date slicing for large pulls). | ### Handling the API's 3,000-Record Limit The NSF Awards API returns at most ~3,000 results per query. For larger data pulls: 1. Slice by year: run one query per calendar year using `dateStart`/`dateEnd` 2. Combine with `keyword` or `awardeeStateCode` to narrow each slice further Example: to get all 2024 awards in California, set `dateStart: 01/01/2024`, `dateEnd: 12/31/2024`, `awardeeStateCode: CA`. ### Sample Output Record ```json { "award_id": "2606034", "title": "CAREER: Generalization Capabilities of Machine Learning...", "awardee_name": "University of California-Los Angeles", "awardee_city": "LOS ANGELES", "awardee_state_code": "CA", "uei_number": "RN64EPNH8JC6", "pi_full_name": "Hayden Schaeffer", "pi_email": "hayden@math.ucla.edu", "po_name": "Stacey Levine", "po_email": "slevine@nsf.gov", "po_phone": "7032922948", "funds_obligated_amt": 214876, "estimated_total_amt": 214876, "start_date": "10/01/2026", "exp_date": "09/30/2029", "cfda_number": "47.049", "directorate_abbr": "MPS", "division_abbr": "DMS", "fund_program_name": "APPLIED MATHEMATICS", "program_element_codes": "126600", "program_reference_codes": "075Z, 079Z", "public_access_mandate": "1", "perf_state_code": "CA", "award_detail_url": "https://www.nsf.gov/awardsearch/showAward?AWD_ID=2606034", "status": "success" } ```` ### Data Source All data comes from the [NSF Awards API](https://www.research.gov/awardapi-service/v1/awards.json) (`research.gov`), the official public interface to the NSF Awards database. No authentication required. The API covers 500,000+ awards since 1959. The scraper requests all 40+ available fields by name, including fields like `piEmail`, `poEmail`, `abstractText`, and `coPDPI` that the API only returns when explicitly listed in `printFields` — ensuring no data is silently omitted. ### Technical Notes - **Rate limiting**: the scraper sends ~1 request per second as per API courtesy guidelines, with automatic retry on 429/503 responses - **Memory**: 512 MB default, sufficient for full paginated runs - **Timeout**: 4-hour ceiling for full-history slices; typical keyword searches complete in seconds - **No proxy required**: the NSF Awards API is public and accessible without geo-routing # 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. ## `keyword` (type: `string`): Free-text search across award title and abstract. Leave empty to browse by filters. ## `piName` (type: `string`): Filter by PI name (e.g. 'Smith'). ## `awardeeName` (type: `string`): Filter by awardee institution (e.g. 'Massachusetts Institute of Technology'). ## `awardeeStateCode` (type: `string`): Filter by awardee US state code (e.g. CA, MA, NY). ## `dateStart` (type: `string`): Earliest award start date, MM/DD/YYYY. Use with Date End to slice large pulls. ## `dateEnd` (type: `string`): Latest award start date, MM/DD/YYYY. ## `cfdaNumber` (type: `string`): Filter by CFDA program number (e.g. 47.070 for Computer & Information Science). ## `maxItems` (type: `integer`): Maximum number of award records to return. Set to 0 for unlimited (slice by date to exceed the ~3k-per-query API ceiling). ## 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...", "maxItems": 10 } ``` # 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...", "keyword": "", "piName": "", "awardeeName": "", "awardeeStateCode": "", "dateStart": "", "dateEnd": "", "cfdaNumber": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/nsf-awards-research-funding-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...", "keyword": "", "piName": "", "awardeeName": "", "awardeeStateCode": "", "dateStart": "", "dateEnd": "", "cfdaNumber": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/nsf-awards-research-funding-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...", "keyword": "", "piName": "", "awardeeName": "", "awardeeStateCode": "", "dateStart": "", "dateEnd": "", "cfdaNumber": "", "maxItems": 10 }' | apify call jungle_synthesizer/nsf-awards-research-funding-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/nsf-awards-research-funding-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NSF Awards Scraper - Research Grants, PIs & Funding Data", "description": "Scrape NSF awards from the research.gov API. Returns title, abstract, awardee, PI name/email, program officer name/email/phone, funds obligated, estimated total, directorate, division, program codes, CFDA, dates, and performance location. Filter by keyword, PI, org, state, date range, or CFDA.", "version": "0.1", "x-build-id": "z8fWzPb7WTsuFXHuR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~nsf-awards-research-funding-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-nsf-awards-research-funding-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~nsf-awards-research-funding-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-nsf-awards-research-funding-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~nsf-awards-research-funding-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-nsf-awards-research-funding-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." }, "keyword": { "title": "Keyword Search", "type": "string", "description": "Free-text search across award title and abstract. Leave empty to browse by filters." }, "piName": { "title": "Principal Investigator Name", "type": "string", "description": "Filter by PI name (e.g. 'Smith')." }, "awardeeName": { "title": "Awardee Organization", "type": "string", "description": "Filter by awardee institution (e.g. 'Massachusetts Institute of Technology')." }, "awardeeStateCode": { "title": "Awardee State", "type": "string", "description": "Filter by awardee US state code (e.g. CA, MA, NY)." }, "dateStart": { "title": "Start Date (from)", "type": "string", "description": "Earliest award start date, MM/DD/YYYY. Use with Date End to slice large pulls." }, "dateEnd": { "title": "Start Date (to)", "type": "string", "description": "Latest award start date, MM/DD/YYYY." }, "cfdaNumber": { "title": "CFDA Number", "type": "string", "description": "Filter by CFDA program number (e.g. 47.070 for Computer & Information Science)." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of award records to return. Set to 0 for unlimited (slice by date to exceed the ~3k-per-query API ceiling).", "default": 10 } } }, "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 } } } } } } } } } } ```