# Propublica 990 Scraper (`quarterly_jingo/propublica-990-scraper`) Actor - **URL**: https://apify.com/quarterly\_jingo/propublica-990-scraper.md - **Developed by:** [Petey Boy](https://apify.com/quarterly_jingo) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ProPublica Nonprofit 990 Scraper - Executive Compensation & Financial Trends ### Overview Extract IRS 990 tax filing data from ProPublica Nonprofit Explorer. Includes executive compensation analysis, multi-year financial trends, revenue breakdowns, and assets. Search by name, EIN, state, or NTEE category. ### Features - Search by keywords to find specific results - Filter results by category or type - Export data in JSON, CSV, or Excel formats - Control output volume with configurable result limits ### Use Cases - **Track** - Track federal government data releases and updates - **Build** - Build datasets for policy research and analysis - **Monitor** - Monitor regulatory changes and compliance requirements - **Aggregate** - Aggregate public government data for transparency projects ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `mode` | string **(required)** | How to find nonprofits | `search` | | `searchQuery` | string | Search term for organization name, city, or alternate name. Supports exact ph... | | | `ein` | string | 9-digit Employer Identification Number (with or without dash, e.g., 53-019660... | | | `einList` | array | List of EINs for bulk lookup (up to 100) | | | `state` | string | Two-letter state abbreviation (e.g., CA, NY, TX) | | | `nteeCategory` | string | National Taxonomy of Exempt Entities category (1-10) | | | `subsectionCode` | string | IRS 501(c) subsection code. Most nonprofits are 501(c)(3). | | | `minRevenue` | integer | Minimum total revenue (filters results after fetching) | | | `maxRevenue` | integer | Maximum total revenue (filters results after fetching) | | | `includeFilingHistory` | boolean | Include all available 990 filings for trend analysis (not just latest) | true | | `includeExecutiveComp` | boolean | Calculate executive compensation metrics and ratios (DIFFERENTIATOR) | true | | `includeTrends` | boolean | Calculate year-over-year growth rates for key metrics (DIFFERENTIATOR) | true | | `maxResults` | integer | Maximum number of organizations to return | `25` | | `maxFilingsPerOrg` | integer | Maximum number of historical filings to include per organization | `5` | ### Output Example Each result contains structured data like this: ```json { "name": "ProPublica Nonprofit 990 Sample Item", "ein": "Sample ein", "city": "San Francisco", "state": "CA", "ntee_code": "Sample ntee_code", "latest_revenue": "Sample latest_revenue", "latest_expenses": "Sample latest_expenses", "latest_assets": "Sample latest_assets", "exec_comp_total": "Sample exec_comp_total", "exec_comp_ratio": "Sample exec_comp_ratio", "revenue_3yr_growth": "Sample revenue_3yr_growth" } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.001** per result - **$1.00** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [ProPublica Nonprofit 990 Scraper - Executive Compensation & Financial Trends](https://apify.com/fortuitous_pirate/propublica-990-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~propublica-990-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxResults": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/propublica-990-scraper").call( run_input={"maxResults": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect ProPublica Nonprofit 990 Scraper - Executive Compensation & Financial Trends with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `mode` (type: `string`): How to find nonprofits ## `searchQuery` (type: `string`): Search term for organization name, city, or alternate name. Supports exact phrases ("Red Cross"), required terms (+delta), and exclusions (-dental). ## `ein` (type: `string`): 9-digit Employer Identification Number (with or without dash, e.g., 53-0196605 or 530196605) ## `einList` (type: `array`): List of EINs for bulk lookup (up to 100) ## `state` (type: `string`): Two-letter state abbreviation (e.g., CA, NY, TX) ## `nteeCategory` (type: `string`): National Taxonomy of Exempt Entities category (1-10) ## `subsectionCode` (type: `string`): IRS 501(c) subsection code. Most nonprofits are 501(c)(3). ## `minRevenue` (type: `integer`): Minimum total revenue (filters results after fetching) ## `maxRevenue` (type: `integer`): Maximum total revenue (filters results after fetching) ## `includeFilingHistory` (type: `boolean`): Include all available 990 filings for trend analysis (not just latest) ## `includeExecutiveComp` (type: `boolean`): Calculate executive compensation metrics and ratios (DIFFERENTIATOR) ## `includeTrends` (type: `boolean`): Calculate year-over-year growth rates for key metrics (DIFFERENTIATOR) ## `maxResults` (type: `integer`): Maximum number of organizations to return ## `maxFilingsPerOrg` (type: `integer`): Maximum number of historical filings to include per organization ## Actor input object example ```json { "mode": "search", "includeFilingHistory": true, "includeExecutiveComp": true, "includeTrends": true, "maxResults": 25, "maxFilingsPerOrg": 5 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("quarterly_jingo/propublica-990-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 = {} # Run the Actor and wait for it to finish run = client.actor("quarterly_jingo/propublica-990-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 '{}' | apify call quarterly_jingo/propublica-990-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=quarterly_jingo/propublica-990-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Propublica 990 Scraper", "description": "", "version": "1.0", "x-build-id": "gWOomF8Xb99TjdQpW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/quarterly_jingo~propublica-990-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-quarterly_jingo-propublica-990-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/quarterly_jingo~propublica-990-scraper/runs": { "post": { "operationId": "runs-sync-quarterly_jingo-propublica-990-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/quarterly_jingo~propublica-990-scraper/run-sync": { "post": { "operationId": "run-sync-quarterly_jingo-propublica-990-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Search Mode", "enum": [ "search", "ein", "bulk_ein" ], "type": "string", "description": "How to find nonprofits", "default": "search" }, "searchQuery": { "title": "Organization Name Search", "type": "string", "description": "Search term for organization name, city, or alternate name. Supports exact phrases (\"Red Cross\"), required terms (+delta), and exclusions (-dental)." }, "ein": { "title": "EIN (Single Lookup)", "pattern": "^[0-9]{2}-?[0-9]{7}$", "type": "string", "description": "9-digit Employer Identification Number (with or without dash, e.g., 53-0196605 or 530196605)" }, "einList": { "title": "EIN List (Bulk Lookup)", "type": "array", "description": "List of EINs for bulk lookup (up to 100)", "items": { "type": "string" } }, "state": { "title": "State Filter", "pattern": "^[A-Z]{2}$", "type": "string", "description": "Two-letter state abbreviation (e.g., CA, NY, TX)" }, "nteeCategory": { "title": "NTEE Category", "enum": [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10" ], "type": "string", "description": "National Taxonomy of Exempt Entities category (1-10)" }, "subsectionCode": { "title": "501(c) Subsection", "enum": [ "3", "4", "5", "6", "7", "8", "9", "10", "12", "13", "14", "17", "19", "25" ], "type": "string", "description": "IRS 501(c) subsection code. Most nonprofits are 501(c)(3)." }, "minRevenue": { "title": "Minimum Revenue", "minimum": 0, "type": "integer", "description": "Minimum total revenue (filters results after fetching)" }, "maxRevenue": { "title": "Maximum Revenue", "type": "integer", "description": "Maximum total revenue (filters results after fetching)" }, "includeFilingHistory": { "title": "Include Filing History", "type": "boolean", "description": "Include all available 990 filings for trend analysis (not just latest)", "default": true }, "includeExecutiveComp": { "title": "Include Executive Compensation Analysis", "type": "boolean", "description": "Calculate executive compensation metrics and ratios (DIFFERENTIATOR)", "default": true }, "includeTrends": { "title": "Calculate Multi-Year Trends", "type": "boolean", "description": "Calculate year-over-year growth rates for key metrics (DIFFERENTIATOR)", "default": true }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of organizations to return", "default": 25 }, "maxFilingsPerOrg": { "title": "Max Filings Per Organization", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of historical filings to include per organization", "default": 5 } } }, "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 } } } } } } } } } } ```