US House Financial Disclosures Scraper

US House Financial Disclosures Scraper

Scrape US House financial disclosure filings by year, state, last name, or filing type, up to a million per run. Each record includes the representative’s name, filing year, type, and the linked PDF report. No login or API key. Export to CSV, JSON, Excel, or XML.

The official House financial disclosure portal offers no bulk export and requires manual lookups one member at a time. This Actor reads the public filing index directly, letting you pull every annual report, candidate filing, or periodic transaction notice for a given year. Filter by state, last name, or filing type as the data is collected, so only the disclosures you need land in your dataset.

Who uses it	What they scrape US House Financial Disclosures for
Investigative journalists	Pull all annual filings for a state delegation to spot unusual asset moves before an election.
Campaign opposition researchers	Collect candidate filings and periodic transaction reports for a specific last name.
Good-government nonprofits	Build a complete yearly dataset of House member financial interests for public accountability dashboards.
Academic researchers	Gather multi-year disclosure data to study the relationship between committee assignments and personal holdings.

What it does

This Actor collects US House financial disclosure index entries by year and optional filters, and returns each filing as a flat row with the member name, state, district, filing type, and a link to the PDF.

• 📋 Bulk year pull: request every disclosure filed in a calendar year, from 2008 through the current session.
• 🏛️ State delegation filter: restrict results to a single two-letter state code, so you get only one delegation’s filings.
• 🔍 Last name search: match a representative’s last name keyword to isolate a single member’s history.
• 📁 Filing type selector: choose among Annual, Candidate, Extension, Periodic Transaction, and Termination reports.
• 📎 Direct PDF links: every row includes the URL of the official PDF report for immediate download or archival.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with US House Financial Disclosures data

📰 Investigate delegation finances.

A reporter sets the year to 2024 and the state to NY, collects all annual and periodic transaction filings, and cross-references the holdings with committee votes.

🎯 Vet a candidate’s history.

An opposition researcher filters by last name and filing type C to pull every candidate disclosure a challenger has ever filed.

📊 Build a public accountability tracker.

A nonprofit runs the Actor each January for the prior year, loads the CSV into a dashboard, and flags members whose reported trades overlap with their committee jurisdiction.

📚 Feed academic research on money in politics.

A political science PhD student collects disclosures from 2010 through 2024, joins them with bill sponsorship data, and models the correlation.

Why choose this scraper

	What you get
No manual lookups	Pull thousands of disclosures in one run instead of searching member by member on the House website.
Fixed, flat schema	Every filing returns the same fields: name, state, district, year, type, and PDF link, ready for analysis.
Multi-year ready	Collect data from 2008 onward to build longitudinal datasets of financial activity.

How it compares

No other Store actor targets US House Financial Disclosures the same way, so the honest comparison is with the alternatives teams actually weigh.

	US House Financial Disclosures Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When US House Financial Disclosures changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with a filing year and optional state, last name, or filing type filters, and set a maximum item count to cap the run. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10,
 "year": 2024
}

A larger pull:

{
 "maxItems": 200,
 "year": 2024
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the US House Financial Disclosures Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to US House Financial Disclosures through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/house-financial-disclosures-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that your year, state, and last name filters are not too restrictive in combination. Try running with only the year set to confirm data exists, then add filters one at a time.

The run stopped before reaching my maxItems count.

The Actor stops when it has read all available filings matching your filters. If the total matching disclosures in the index is less than your maxItems value, the run ends early.

Some PDF links return a 'not found' error.

The House disclosure site occasionally moves or removes older PDFs. The link is collected exactly as listed in the index. Try a different year or contact the House Clerk’s office for archived reports.

I got a timeout or the run failed.

The House disclosure site can be slow during peak hours. Increase the run timeout in your Actor settings and try again. If the problem persists, reduce the maxItems count to shorten the run.

FAQ

Question	Answer
What exactly is in a disclosure row?	Each row contains the representative’s full name, state, district, the filing year, the filing type code and label, and a direct link to the official PDF report on the House disclosure site.
Does this Actor download the PDFs themselves?	No, it collects the index entries and provides the PDF URLs. You can feed those URLs into a separate download Actor or script to fetch the files.
Can I get disclosures for a single representative?	Yes. Use the Last Name Filter with the member’s surname, and optionally combine it with a state filter to avoid common-name collisions.
What filing types are available?	The Actor supports C (Candidate), O (Annual), X (Extension), P (Periodic Transaction), and W (Termination). You can select one type per run.
How far back does the data go?	The filing index is available from 2008 onward. Set the year input to any year in that range.
Is there a rate limit or do I need an API key?	No API key or registration is required. The Actor reads the public disclosure index pages directly and respects polite request pacing.
Can I filter by district number?	The current input schema supports state and last name filters. District-level filtering is not a separate input, but the district appears in the output row for each filing.
What output formats are supported?	You can export your dataset to CSV, JSON, Excel, or XML directly from the Apify platform run results.
How do I get all disclosures for an entire Congress?	Run the Actor twice, once for each calendar year of the Congress (e.g., 2023 and 2024 for the 118th Congress), and merge the datasets.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by the Clerk of the U.S. House of Representatives. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.