# 🏛️ US Nonprofit Intelligence — IRS 990 Data & Leads (`inexhaustible_glass/us-nonprofit-intelligence`) Actor Search 1.8M US nonprofits (every 501c) & get full Form 990 data: revenue, assets, expenses, exec compensation, multi-year financials, cause category, 501c type, address & 990 PDF. Lead-gen for fundraisers, nonprofit SaaS, advisors. Free, no key, no proxy. - **URL**: https://apify.com/inexhaustible\_glass/us-nonprofit-intelligence.md - **Developed by:** [Hitman studio](https://apify.com/inexhaustible_glass) (community) - **Categories:** Business, Lead generation, News - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ## 🏛️ US Nonprofit Intelligence — IRS Form 990 Data & Lead-Gen > **Every US nonprofit, with the money attached.** Search 1.8M+ tax-exempt organizations and get > the full Form 990 picture — revenue, assets, expenses, executive compensation and multi-year > financial history — in one clean, filterable feed. No key, no proxy, never blocked. Pulls directly from the **ProPublica Nonprofit Explorer API** (built on official IRS Exempt Organization data). 100% public records. --- ### 👥 Who needs this | You are a… | You get… | |---|---| | 🎁 **Fundraiser / grant consultant** | Foundations & grantmakers ranked by size & assets | | 💻 **Nonprofit-tech / SaaS sales** | Target orgs by budget, cause & state — qualified leads | | 💼 **Financial advisor / insurer** | Orgs with big assets & exec comp = real prospects | | 🏦 **Bank / vendor selling to NPOs** | Budget-sized, location-filtered lead lists | | 📰 **Researcher / journalist** | Exec pay, revenue trends, multi-year financials | ### 🆚 Better than the basic 990 scrapers Most tools just dump a name + EIN. **This returns lead intelligence:** - 🌟 **Decision-maker NAMES** — CEO / Executive Director + every officer, with title & pay (`top_contact_name` = your lead's contact person — most 990 tools don't give this) - ✅ Normalized **financials** — revenue, assets, expenses, contributions, program revenue - ✅ **Executive compensation** (a strong buying-power signal) - ✅ **Lead score & size grade** — 🔥 MAJOR / 🟢 LARGE / 🟡 MID / ⚪ SMALL - ✅ **Cause category** + **501(c) type** in plain English - ✅ Full **address**, profile link and the official **990 PDF** - ✅ Optional **multi-year history** (up to ~13 years) for trend analysis --- ### 🚀 How to use 1. Add a **keyword** and/or pick filters (state, cause, 501(c) type, min revenue). 2. Press **Start** → download CSV / Excel / JSON. #### Example input ```json { "searchQuery": "food bank", "state": "CA", "nteeCategory": "5", "subsection": "3", "minRevenue": 1000000, "includeFinancials": true, "maxResults": 500 } ```` 👉 *"All California 501(c)(3) human-services food banks with $1M+ revenue."* #### More examples - `{ "searchQuery": "animal rescue", "state": "TX" }` — Texas animal nonprofits - `{ "nteeCategory": "4", "minRevenue": 10000000 }` — major health nonprofits nationwide - `{ "subsection": "3", "state": "NY", "maxResults": 1000 }` — NY charities - `{ "searchQuery": "university", "includeFinancialHistory": true }` — with 13-year trends *** ### 📦 Output (per nonprofit) `ein`, `name`, `top_contact_name`, `top_contact_title`, `officers[]` (name/title/compensation), `cause_category`, `ntee_code`, `tax_status`, `city`, `state`, `address`, `zipcode`, `revenue`, `total_income`, `total_assets`, `total_expenses`, `contributions_grants`, `program_revenue`, `officer_compensation`, `latest_tax_year`, `ruling_year`, `years_of_data`, `lead_score`, `lead_grade`, `profile_url`, `latest_990_pdf` — plus `financial_history[]` when enabled. *** ### ℹ️ Notes - **Source:** ProPublica Nonprofit Explorer API — public, free, no key, no proxy. - IRS data has a typical 12–18 month processing delay (normal for 990 filings). - US tax-exempt organizations only. *** *Keywords: nonprofit data, IRS 990, Form 990, tax-exempt organizations, 501c3, foundations, grantmakers, fundraising leads, nonprofit prospecting, charity data, EIN lookup, GuideStar alternative, Candid alternative, CauseIQ alternative, nonprofit financials, executive compensation.* # Actor input Schema ## `searchQuery` (type: `string`): Search by organization name or keyword. Examples: 'cancer', 'food bank', 'youth', 'animal rescue'. Leave empty to list all (use filters below). ## `state` (type: `string`): Only nonprofits in this US state. Example: CA, TX, NY, FL. Leave empty for all states. ## `nteeCategory` (type: `string`): Filter by the type of nonprofit (NTEE major group). ## `subsection` (type: `string`): Filter by IRS subsection. Most charities & foundations are 501(c)(3). ## `minRevenue` (type: `integer`): Only nonprofits with at least this much annual revenue — great for filtering to well-funded, qualified leads. Example: 1000000 for $1M+ orgs. ## `includeFinancials` (type: `boolean`): Fetch each org's full Form 990 financials. Keep ON for lead intelligence. Turn OFF for a faster, name-only list. ## `includeOfficers` (type: `boolean`): Pull the names, titles and compensation of each org's officers, directors & key employees (Form 990 Part VII) — your decision-maker contacts (CEO/Executive Director). Adds the 'top\_contact\_name' lead field. Slightly slower (1 extra request per org). ## `includeFinancialHistory` (type: `boolean`): Add an array of every available year's revenue, expenses, assets & exec comp (up to ~13 years). For trend analysis. ## `maxResults` (type: `integer`): Cap how many nonprofits to return. ## Actor input object example ```json { "searchQuery": "food bank", "state": "CA", "nteeCategory": "", "subsection": "", "includeFinancials": true, "includeOfficers": true, "includeFinancialHistory": false, "maxResults": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "food bank", "state": "CA" }; // Run the Actor and wait for it to finish const run = await client.actor("inexhaustible_glass/us-nonprofit-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchQuery": "food bank", "state": "CA", } # Run the Actor and wait for it to finish run = client.actor("inexhaustible_glass/us-nonprofit-intelligence").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 '{ "searchQuery": "food bank", "state": "CA" }' | apify call inexhaustible_glass/us-nonprofit-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=inexhaustible_glass/us-nonprofit-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🏛️ US Nonprofit Intelligence — IRS 990 Data & Leads", "description": "Search 1.8M US nonprofits (every 501c) & get full Form 990 data: revenue, assets, expenses, exec compensation, multi-year financials, cause category, 501c type, address & 990 PDF. Lead-gen for fundraisers, nonprofit SaaS, advisors. Free, no key, no proxy.", "version": "1.0", "x-build-id": "WKqt2QxRv5JqDebKm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/inexhaustible_glass~us-nonprofit-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-inexhaustible_glass-us-nonprofit-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/inexhaustible_glass~us-nonprofit-intelligence/runs": { "post": { "operationId": "runs-sync-inexhaustible_glass-us-nonprofit-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/inexhaustible_glass~us-nonprofit-intelligence/run-sync": { "post": { "operationId": "run-sync-inexhaustible_glass-us-nonprofit-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "🔍 Keyword", "type": "string", "description": "Search by organization name or keyword. Examples: 'cancer', 'food bank', 'youth', 'animal rescue'. Leave empty to list all (use filters below)." }, "state": { "title": "📍 State (2-letter)", "type": "string", "description": "Only nonprofits in this US state. Example: CA, TX, NY, FL. Leave empty for all states." }, "nteeCategory": { "title": "🎯 Cause category", "enum": [ "", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10" ], "type": "string", "description": "Filter by the type of nonprofit (NTEE major group).", "default": "" }, "subsection": { "title": "🏷️ 501(c) type", "enum": [ "", "3", "4", "5", "6", "7", "8", "19" ], "type": "string", "description": "Filter by IRS subsection. Most charities & foundations are 501(c)(3).", "default": "" }, "minRevenue": { "title": "💰 Minimum revenue ($)", "minimum": 0, "type": "integer", "description": "Only nonprofits with at least this much annual revenue — great for filtering to well-funded, qualified leads. Example: 1000000 for $1M+ orgs." }, "includeFinancials": { "title": "📊 Include financials (revenue, assets, exec comp)", "type": "boolean", "description": "Fetch each org's full Form 990 financials. Keep ON for lead intelligence. Turn OFF for a faster, name-only list.", "default": true }, "includeOfficers": { "title": "👤 Include officer / executive NAMES + titles + pay", "type": "boolean", "description": "Pull the names, titles and compensation of each org's officers, directors & key employees (Form 990 Part VII) — your decision-maker contacts (CEO/Executive Director). Adds the 'top_contact_name' lead field. Slightly slower (1 extra request per org).", "default": true }, "includeFinancialHistory": { "title": "📈 Include multi-year financial history", "type": "boolean", "description": "Add an array of every available year's revenue, expenses, assets & exec comp (up to ~13 years). For trend analysis.", "default": false }, "maxResults": { "title": "🔢 Max results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap how many nonprofits to return.", "default": 100 } } }, "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 } } } } } } } } } } ```