# US House Financial Disclosures Scraper | PFD Index (`parseforge/house-financial-disclosures-scraper`) Actor Scrape U.S. House of Representatives financial disclosure filings: representative name, district, party, filing year, filing type, assets, liabilities, income, transactions, travel, gifts, and PDF report URL. Export to JSON, CSV, or Excel for journalism, oversight, and political research. - **URL**: https://apify.com/parseforge/house-financial-disclosures-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Other, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 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. 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 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ› US House Financial Disclosures Scraper > ๐Ÿš€ **Export US House member financial disclosure filings in seconds. Filer, state, district, filing type, document link.** > ๐Ÿ•’ **Last updated:** 2026-05-26 ยท **๐Ÿ“Š 13 fields** per record ยท **Federal scale** ยท **All US House filings since 2008** The US House Clerk publishes an annual financial disclosure index. This actor downloads the official ZIP, parses the XML, and outputs one row per filing. Coverage spans every annual filing index from 2008 onward, every state and district, every filing type (Candidate, Annual, Extension, Periodic Transaction, Termination). | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Journalists and researchers | Audit member disclosures | | Compliance teams | Monitor public officials | | Watchdog groups | Track conflicts of interest | | Government affairs | Identify key filers | ### ๐Ÿ“‹ What the US House Financial Disclosures Scraper does - Downloads the official annual ZIP from disclosures-clerk.house.gov - Parses the XML index of all disclosure filings - Filters by state, last name, and filing type - Returns filer identity, state-district, filing type, year, and document URL > ๐Ÿ’ก **Why it matters:** House member financial disclosures are public record. Programmatic access makes them actually usable. ### ๐ŸŽฌ Full Demo (_๐Ÿšง Coming soon_) ### โš™๏ธ Input
FieldTypeDescription
maxItemsintegerCap on rows
yearintegerFiling year (default 2024)
stateFilterstringTwo-letter state code
lastNameFilterstringMatch last-name keyword
filingTypeFilterenumC, O, X, P, W
```json { "maxItems": 50, "year": 2024 } ```` ```json { "maxItems": 100, "year": 2024, "stateFilter": "CA", "filingTypeFilter": "O" } ``` > โš ๏ธ **Good to Know:** The Clerk republishes the annual ZIP daily as new filings come in. Document PDFs are linked but not downloaded. ### ๐Ÿ“Š Output | Field | Type | Description | |---|---|---| | ๐Ÿ“Œ docId | string | Disclosure document ID | | ๐Ÿ‘ค firstName | string | Filer first name | | ๐Ÿ‘ค lastName | string | Filer last name | | prefix | string | Hon., Dr., etc. | | suffix | string | Jr., Sr., etc. | | ๐ŸŒŽ state | string | Two-letter state | | district | string | House district | | stateDistrict | string | Combined code | | year | integer | Filing year | | filingType | string | C, O, X, P, W | | filingTypeLabel | string | Human-readable type | | filingDate | string | Date filed | | ๐Ÿ“„ documentUrl | string | Disclosure PDF | | ๐Ÿ•’ scrapedAt | string | ISO timestamp | ### โœจ Why choose this Actor - Direct from the House Clerk - Real-time index, refreshed daily - Works with standard Apify integrations ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Maintenance | Coverage | |---|---|---|---| | This actor | Pay per result | None | Full | | Manual ZIP download | Free | High | Same data | | Commercial disclosure trackers | $$$ | None | Curated | ### ๐Ÿš€ How to use 1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. Open the actor page 3. Set inputs 4. Run 5. Download dataset as CSV, Excel, JSON, or XML ### ๐Ÿ’ผ Business use cases #### Competitor and market monitoring Identify which House members have filed financial disclosures and when. #### Pipeline expansion Build pipelines for political-intelligence and policy work. #### Compliance and due diligence Verify disclosure compliance for journalists and watchdog groups. #### Market sizing and research Quantify filing trends across Congress, party, or state. ### ๐Ÿ”Œ Automating US House Financial Disclosures Scraper Connects with Make, Zapier, Slack, Airbyte, GitHub Actions, and Google Drive via Apify's standard integrations. ### ๐ŸŒŸ Beyond business use cases #### Research Academic studies on congressional ethics. #### Personal Civic engagement and accountability. #### Non-profit Watchdog and good-government work. #### Experimentation Train models on disclosure metadata. ### ๐Ÿค– Ask an AI assistant about this scraper ChatGPT, Claude, Perplexity, or Copilot can explain inputs, sample outputs, and integration patterns. ### โ“ Frequently Asked Questions **Q: Does this download the actual PDF disclosures?** A: It returns the official PDF URL. Use a separate tool to download. **Q: How current is the index?** A: The House Clerk republishes daily. **Q: How far back can I go?** A: To 2008 via the year input. **Q: Are PTRs (Periodic Transaction Reports) included?** A: Yes, filing type P. **Q: Can I filter by member only?** A: Use lastNameFilter to search by surname. **Q: What is StateDst?** A: Combined state and district code (e.g. CA12). **Q: Is this for Senators too?** A: No, this actor is for House members. Senate has its own filing system. **Q: Are staff disclosures included?** A: Yes, the House index includes Member and senior-staff filings. **Q: Is data accurate?** A: As accurate as the House Clerk index. **Q: How big is the dataset?** A: Thousands of filings per year. ### ๐Ÿ”Œ Integrate with any app Make, Zapier, Slack, Airbyte, GitHub Actions, Google Sheets, Webhooks. ### ๐Ÿ”— Recommended Actors | Actor | Description | |---|---| | [USAspending Contracts Scraper](https://apify.com/parseforge/usaspending-contracts-scraper) | Federal contract awards | | [FDIC Bank Scraper](https://apify.com/parseforge/fdic-bank-scraper) | FDIC institution data | | [SEC EDGAR Scraper](https://apify.com/parseforge/sec-edgar-scraper) | SEC company filings | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge). **๐Ÿ†˜ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA) > **โš ๏ธ Disclaimer:** independent tool, not affiliated with the source organization. Only publicly available data collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: 10. Paid: up to 1,000,000 ## `year` (type: `integer`): Year of the filing index (e.g. 2024) ## `stateFilter` (type: `string`): Two-letter state code (e.g. CA, TX) ## `lastNameFilter` (type: `string`): Match last name keyword ## `filingTypeFilter` (type: `string`): Filing type code ## Actor input object example ```json { "maxItems": 10, "year": 2024 } ``` # 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 = { "maxItems": 10, "year": 2024 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/house-financial-disclosures-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10, "year": 2024, } # Run the Actor and wait for it to finish run = client.actor("parseforge/house-financial-disclosures-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10, "year": 2024 }' | apify call parseforge/house-financial-disclosures-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/house-financial-disclosures-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US House Financial Disclosures Scraper | PFD Index", "description": "Scrape U.S. House of Representatives financial disclosure filings: representative name, district, party, filing year, filing type, assets, liabilities, income, transactions, travel, gifts, and PDF report URL. Export to JSON, CSV, or Excel for journalism, oversight, and political research.", "version": "0.1", "x-build-id": "8KXb3zj6CwGG7QnwG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~house-financial-disclosures-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-house-financial-disclosures-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~house-financial-disclosures-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-house-financial-disclosures-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~house-financial-disclosures-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-house-financial-disclosures-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: 10. Paid: up to 1,000,000" }, "year": { "title": "Filing Year", "minimum": 2008, "maximum": 2030, "type": "integer", "description": "Year of the filing index (e.g. 2024)" }, "stateFilter": { "title": "State Filter", "type": "string", "description": "Two-letter state code (e.g. CA, TX)" }, "lastNameFilter": { "title": "Last Name Filter", "type": "string", "description": "Match last name keyword" }, "filingTypeFilter": { "title": "Filing Type", "enum": [ "C", "O", "X", "P", "W" ], "type": "string", "description": "Filing type code" } } }, "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 } } } } } } } } } } ```