You can access the NIH RePORTER Grant Search Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "terms": "cancer immunotherapy",
10    "fiscalYears": [2024],
11    "maxResults": 20,
12    "pageSize": 100,
13    "includeRawResult": False,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("automation-lab/nih-reporter-grant-search-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

NIH RePORTER Grant Search Scraper & API Export API in Python

The Apify API client for Python is the official library that allows you to use NIH RePORTER Grant Search Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

NIH RePORTER Grant Search Scraper API in JavaScript

NIH RePORTER Grant Search Scraper API through CLI

NIH RePORTER Grant Search Scraper OpenAPI definition

NIH RePORTER Grant Search Scraper API

🎓 Research MCP — AI Paper Search & Citations

nexgendata/academic-research-mcp-server

🎓 Academic research, scholarly papers, arXiv, PubMed, Google Scholar MCP server for AI agents (Claude Desktop, Cursor, OpenAI Agents SDK). Search papers + citations + authors + abstracts via MCP — built for literature-review and research AI workflows. Free tier available.

NexGenData

Grant Opportunities Search Scraper

caffein.dev/grants-actor

Search grant opportunities by keyword across NIH RePORTER, Grants.gov, and Duke Research Funding. Returns a unified dataset with titles, sponsors, deadlines, amounts, eligibility, and source URLs. Great for grant discovery, dashboards, and automation.

Caffein Dev

HPO Human Phenotype Ontology Scraper

parseforge/hpo-phenotypes-scraper

Search the Human Phenotype Ontology by keyword or HP ID and pull back terms with hpoId, name, definition, synonyms, parents, children, plus optional associated diseases and genes. Useful for rare disease research, clinical curation, and genomic variant annotation pipelines.

ParseForge

NIH RePORTER Grants Scraper - Research Funding API

pink_comic/nih-reporter-search

Search NIH RePORTER grants by keyword, PI, institution, institute, fiscal year, or mechanism. Get award amounts, abstracts, projects, and funding leads for research, grant writing, pharma BD, and policy analysis.

Ava Torres

NIH RePORTER Scraper

parseforge/nih-reporter-scraper

Scrape NIH research grant awards with 40+ fields per project. Get funding amounts, principal investigators, institutions, abstracts, spending categories, and geo coordinates. Filter by keyword, fiscal year, agency, and active status.

ParseForge

🏛️ Government Contracts Search — Federal Award Data

nexgendata/government-contracts-search

Search federal government contracts, grants, and awards from SAM.gov and USAspending. Find contract opportunities, track competitor wins, and research government spending by agency.

NexGenData

NIH RePORTER Scraper - Grants, PIs & Linked Publications

jungle_synthesizer/nih-reporter-grants-publications-scraper

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.