# NSF Research Grant Awards Scraper (`scrapers_lat/usa-nsf-awards-scraper`) Actor
Scrape U.S. National Science Foundation research grant awards: award ID, title, abstract, principal investigator and co-PIs with emails, awardee institution and location, program, funding amounts and the award window. Filter by keyword, PI, institution, state or date. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/usa-nsf-awards-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Research Grant Awards Scraper
> Pull U.S. National Science Foundation research grant awards with principal investigators, co-PIs and emails, awardee institutions and locations, program, funding amounts and award windows. Filter by keyword, PI, institution, state or date and export clean structured data for research, prospecting and analysis.
**📥 [Input](https://apify.com/scrapers_lat/usa-nsf-awards-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/usa-nsf-awards-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/usa-nsf-awards-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/usa-nsf-awards-scraper/examples)**
PI & co-PIs names + emails
Institution & funding location + amounts
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Research intelligence | Analysts tracking who is funded to work on a topic |
| Sales and partnerships | Teams reaching PIs and labs with equipment, software or services |
| Grants and policy | Officers mapping funding by program, institution or state |
| Academic search | Researchers finding collaborators and comparable awards |
### How to use it
1. Enter a **keyword** (for example `quantum computing` or `coral reef`).
2. Optionally narrow by **principal investigator**, **institution**, **U.S. state**, or an award **start date** range. Each list value runs its own search.
3. Set **Max Awards** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Does it include co-investigators and their emails?**
Yes. Each record lists the primary PI plus every co-PI name and email that is published for the award.
**Can I get every award for one university or one state?**
Yes. Add institution names or two-letter state codes and the actor sweeps each one, paginating the full result set up to your Max Awards.
**Can I limit by date?**
Yes. Set a start-date range (MM/DD/YYYY) to keep only awards that began within that window.
**How fresh is the data?**
Awards are read live at run time, so each record reflects the latest published values (see observedAt).
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
- [USAspending Federal Awards Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper)
- [Grants.gov Opportunities Scraper](https://apify.com/scrapers_lat/grants-gov-scraper)
- [SAM.gov Opportunities Scraper](https://apify.com/scrapers_lat/sam-gov-opportunities-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with the U.S. National Science Foundation. It only accesses publicly available award data. Use the results in accordance with the source's terms.
# Actor input Schema
## `keyword` (type: `string`):
Free-text search across NSF award titles and abstracts (for example 'quantum computing', 'coral reef', 'battery'). Optional but recommended.
## `piNames` (type: `array`):
Optional. One or more principal investigator names to filter by (for example 'Jennifer Doudna'). One search is run per name.
## `orgNames` (type: `array`):
Optional. One or more awardee institution names to filter by (for example 'Stanford University', 'MIT'). One search is run per name.
## `states` (type: `array`):
Optional. Two-letter U.S. state codes of the awardee institution (for example 'CA', 'NY', 'TX'). One search is run per state.
## `fromDate` (type: `string`):
Optional. Only awards whose start date is on or after this date. Format MM/DD/YYYY (for example 01/01/2024).
## `toDate` (type: `string`):
Optional. Only awards whose start date is on or before this date. Format MM/DD/YYYY (for example 12/31/2025).
## `maxAwards` (type: `integer`):
Maximum number of awards to collect across all searches. Optional.
## Actor input object example
```json
{
"keyword": "artificial intelligence",
"maxAwards": 40
}
```
# 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 = {
"keyword": "artificial intelligence",
"maxAwards": 40
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/usa-nsf-awards-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 = {
"keyword": "artificial intelligence",
"maxAwards": 40,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/usa-nsf-awards-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 '{
"keyword": "artificial intelligence",
"maxAwards": 40
}' |
apify call scrapers_lat/usa-nsf-awards-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/usa-nsf-awards-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/qQ1iqpYtbpsvQhx8f/builds/rKTVzGwI7Of998B4U/openapi.json