US Nonprofit & Charity Search - IRS 990 Data

Search public US nonprofit and charity records from ProPublica Nonprofit Explorer and export up to 47 columns per organization: EIN, name, address, NTEE category, reported revenue and the full Form 990 financial summary. This Actor turns ProPublica Nonprofit Explorer, derived from public IRS Form 990 filings, into bounded, structured datasets for analysis, enrichment, monitoring, and AI-agent workflows.

What data can I extract?

Returned on every run, at no extra request cost:

• Identity - organization name, EIN (both 133971298 and 13-3971298 forms), Nonprofit Explorer profile URL
• Location - city and state as separate columns, plus the original combined summary
• Classification - NTEE major group and activity description
• Revenue - the formatted figure, the same figure as a plain integer you can sum in a spreadsheet, and the fiscal year it covers
• Provenance - the search term that returned each record

Add "include_details": true for the full IRS record of each organization:

• Address and contact - street address, ZIP+4, the IRS "in care of" contact name
• IRS status - NTEE code, subsection code (501(c)(3) and others), foundation code, deductibility code, exempt status code, filing requirement code, ruling date
• Business Master File totals - total assets, total income, tax period, last-updated timestamp
• Filing history - most recent filing year, direct PDF download link, count of filings with and without extracted financials, and every tax year on record
• Form 990 financials - total revenue, functional expenses, assets, liabilities, net assets, contributions and grants, program service revenue, investment income, grants paid, officer compensation, other salaries and wages, payroll taxes, professional fundraising fees, net fundraising income

Every run writes flat records to the default dataset - no nested objects, so a CSV export is usable as-is. Download results as JSON, CSV, Excel, XML, or access them through the Apify API.

Input example

{
  "search_terms": [
    "food bank",
    "animal rescue"
  ],
  "max_items": 100,
  "include_details": true
}

max_items is a hard output and billing ceiling. The default input is intentionally limited to 10 records so Store tests and first runs stay inexpensive.

Output example

One real record, exactly as pushed:

{
  "name": "nyu langone hospitals",
  "summary": "new york, ny • health — general and rehabilitative - hospitals and related primary medical care facilities",
  "revenue": "$10,489,477,025",
  "ein": "133971298",
  "strein": "13-3971298",
  "profile_url": "https://projects.propublica.org/nonprofits/organizations/133971298",
  "city": "New York",
  "state": "NY",
  "ntee_classification": "Health — General and Rehabilitative - Hospitals and Related Primary Medical Care Facilities",
  "revenue_amount": 10489477025,
  "revenue_year": "2024–2025",
  "search_term": "nyu langone hospitals",
  "address": "550 1ST AVE",
  "zipcode": "10016-6402",
  "care_of_name": "% FRANK FRANZI",
  "ntee_code": "E20G",
  "subsection_code": 3,
  "foundation_code": 12,
  "deductibility_code": 1,
  "exempt_status_code": 1,
  "filing_requirement_code": 1,
  "ruling_date": "1998-05-01",
  "tax_period": "2025-08-01",
  "asset_amount": 13091045206,
  "income_amount": 12461983667,
  "record_updated": "2026-08-19T19:29:49.506Z",
  "latest_filing_year": 2024,
  "latest_filing_pdf_url": "https://projects.propublica.org/nonprofits/download-filing?path=IRS%2F133971298_202408_990_2025082223669055.pdf",
  "filings_with_data_count": 13,
  "filings_without_data_count": 12,
  "filing_years": "2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000",
  "financials_tax_year": 2023,
  "financials_form_type": "990",
  "total_revenue": 8868510832,
  "total_expenses": 7561157803,
  "total_assets": 11633275920,
  "total_liabilities": 5511014423,
  "net_assets": 6122261497,
  "contributions_and_grants": 225454549,
  "program_service_revenue": 7810330514,
  "investment_income": 104640245,
  "grants_paid": null,
  "officer_compensation": 41930798,
  "other_salaries_and_wages": 2346013129,
  "payroll_taxes": 176513858,
  "professional_fundraising_fees": 0,
  "net_fundraising_income": -102826
}

grants_paid is a Form 990-PF line, so it is empty here and populated for private foundations. Every record carries the same columns in the same order whether or not a value was available.

The dataset schema documents every field with a title, type, description, and example so humans and AI tools can inspect the contract before running it.

Use with AI agents and MCP

Apify's hosted MCP server can discover and call this Actor. A suitable agent request is:

Find US nonprofits matching food bank or animal rescue and return the EIN, address, NTEE category, reported revenue and latest Form 990 totals for each.

Use this exact Actor input:

{
  "search_terms": [
    "food bank",
    "animal rescue"
  ],
  "max_items": 100,
  "include_details": true
}

The Actor succeeds with a nonempty default dataset and exposes its default dataset through the top-level Output schema.

Pricing and cost control

Output is billed per result at $0.01 per result (about $10.00 per 1,000 results), plus a $0.0005 Actor-start charge billed once per gigabyte of memory at run start. Use max_items to cap both output volume and charges. The price shown on the Apify Store listing is authoritative.

Use max_items to cap returned and billable records. Invalid input is rejected before unnecessary work wherever possible.

include_details does not change what you are billed per result, but it does add one upstream request per organization, so runs take longer. Leave it off when you only need name, EIN, location and revenue.

Common use cases

• Source-specific research and market intelligence
• Structured exports for spreadsheets, warehouses and BI systems
• Entity enrichment and monitoring pipelines
• Retrieval and data collection by AI agents

Reliability

The Actor uses bounded pagination, retries transient upstream failures, deduplicates records where the source exposes stable identifiers, and fails explicitly when the source cannot provide usable output. Production default-input canaries verify a nonempty structured dataset in under five minutes.

Limitations and responsible use

• Coverage, field availability and update timing are controlled by the upstream public source.
• Optional fields can be null or absent when the source does not publish them.
• The Form 990, 990-EZ and 990-PF report different line items. A private foundation has no program service revenue line and a 990 filer has no grants-paid line, so those columns are empty by design rather than by failure.
• The financial columns come from the most recent filing the IRS has released as machine-readable data. That is often a year behind latest_filing_year, which counts PDF-only filings too; both years are in every record so you can see the lag.
• This Actor does not bypass authentication, access controls, CAPTCHAs, or source rate limits.
• Customers remain responsible for lawful use, applicable source terms, and restrictions on downstream decisions.

FAQ

What is the best way to run this US nonprofit search Actor?\n\nStart with the 10-record default, inspect the dataset, then increase max_items and narrow the available filters for your use case.

Do I need my own API key?

No external API key is required unless the Input tab explicitly says otherwise. Apify credentials are used normally when invoking the Actor through Apify APIs or MCP.

Can an AI agent call it?

Yes. The strict input schema acts as the tool signature, and the dataset plus Output schemas describe the returned records.

Can I export the results?

Yes. Apify datasets support JSON, CSV, Excel, XML and API retrieval.

Support and changes

Open an issue on the Actor page with a redacted input and run ID. See ./CHANGELOG.md for contract and maintenance updates.