US Congress Trading Monitor (House): Stock Trades of House Members

Track congress trading from the official source: parsed, scored stock trades by US House members, not a raw PDF dump. Give one or more House member last names and get their recent congressional stock trades pulled straight from the official House Clerk financial-disclosure feed. Every transaction is parsed into ticker, buy or sell, estimated size and date, then scored by size and recency so the most notable political trading rises to the top. This is the signal, not the paperwork.

Members of the US House disclose their stock trades under the STOCK Act through Periodic Transaction Reports (PTRs). This Actor reads those official filings, parses each transaction out of the e-filed PDFs, and surfaces them per member with buys vs sells, an estimated total value and an impact score. You get clean, structured congress trading data without ever opening a PDF.

Why this is different

Most options leave you with either nothing usable or a manual chore: raw disclosure portals hand you PDFs to read one by one, and third-party aggregators are a scrape of a scrape with no link back to the source. This Actor goes to the official House Clerk feed and computes the signal:

• Parsed transactions - ticker, buy or sell, estimated amount range and date pulled directly from the official PTR PDF.
• Buys vs sells - the member's recent net direction at a glance.
• Estimated value - the midpoint of each disclosed amount range, summed per member.
• Impact score (0-100) - trade size plus recency, so a large and recent trade ranks highest.
• Official source - the US House Clerk disclosures, not a scraped third-party feed.

Who it's for

• Traders and retail quants who want to track political trading as an alternative-data signal.
• Fintech and data apps that need clean congressional-trade data to drop into a product or dashboard.
• Journalists and researchers who monitor House member trades and PTR disclosures without parsing PDFs by hand.

Use cases

• Watchlist monitoring. Scan a list of House members on a schedule and flag any new large trade.
• Signal feed. Pull the highest-impact buys and sells into a trading or research model.
• Newsroom alerts. Get notified when a tracked member files a notable disclosure.
• Product enrichment. Embed structured congressional stock trades inside a fintech app or screener.
• Research datasets. Build a longitudinal record of House member trades for analysis.

Input

Field	Type	Required	Default	Description
members	array	yes	-	One or more US House member last names (e.g. Pelosi, Williams, Greene). Each is scanned for recent PTR disclosures.
sinceDays	integer	no	120	Only include trades from disclosures filed within this many days (7 to 730).
maxFilings	integer	no	8	How many of the member's most recent PTRs to parse (1 to 25).
minImpact	integer	no	0	Only return trades at or above this impact score (e.g. 75 = roughly $50k+ recent trades). 0 returns all.

Output

One dataset item per member analyzed. Each item carries the query, the matched member, how many filings were parsed, the trades found, an estimated total value, buy and sell counts, and a ranked trades list. Example:

{
  "type": "congress_trades",
  "query": "Pelosi",
  "member": "Nancy Pelosi",
  "filings_parsed": 3,
  "trades_found": 17,
  "est_total_value": 24500000,
  "buy_count": 9,
  "sell_count": 8,
  "trades": [
    {
      "member": "Nancy Pelosi",
      "ticker": "NVDA",
      "asset_code": "ST",
      "tx_type": "Purchase",
      "partial": false,
      "tx_date": "01/14/2026",
      "amount_low": 1000000,
      "amount_high": 5000000,
      "amount_mid": 3000000,
      "impact": 100,
      "catalyst": "Purchase of NVDA ($1,000,000-$5,000,000) on 01/14/2026"
    }
  ]
}

Trades are sorted by impact descending, so the largest and most recent trades appear first.

How it works and scoring

1. House Clerk feed. The Actor downloads the official House financial-disclosure index for the year (a ZIP file from disclosures-clerk.house.gov, free, public, no API key) and filters it to each member's recent Periodic Transaction Reports.
2. pdfplumber parsing. For each matched PTR, it fetches the e-filed PDF and extracts the text with pdfplumber, then parses every transaction into ticker, asset code, type (Purchase, Sale or Exchange), partial flag, date and the disclosed amount range.
3. Scoring. Each trade gets an impact score from its midpoint value: roughly 90 for $250k and up, 75 for $50k and up, 60 for $15k and up, otherwise 45. Recency adds a bonus: +10 within 30 days, +5 within 90 days, capped at 100. No black box: the score is derived only from the size band the member disclosed and the trade date.

Scope and limits

• US House only. This Actor covers the US House of Representatives.
• E-filed PDFs only. Only digitally e-filed PTRs are machine-readable. Older scanned paper filings are skipped, because there is no OCR. A member with only scanned filings in the window will return empty.
• Senate is deliberately excluded. To be plain and honest: the Senate eFD portal is anti-bot protected (Akamai) and its terms restrict commercial use, so the Senate is intentionally not covered. This is a legal and access decision, not a technical gap we are hiding.
• Estimates, not exact amounts. The STOCK Act requires members to disclose trade size as a range, not an exact figure, so values here are range midpoints.

Use with AI agents and automation

This Actor returns clean JSON, so it slots directly into agent and automation stacks:

• AI agents. Call it from LangChain or LlamaIndex as a tool, or expose it through the Apify MCP server so an AI assistant (Claude, ChatGPT, Cursor) can run it and read the trades automatically.
• No-code automation. Trigger it from Zapier or Make to push new trades into a sheet, CRM or alert channel.
• Webhooks. Fire a webhook on run completion to notify your own service when new trades are parsed.
• On demand or on schedule. Run it ad hoc for one member, or on a schedule to keep a watchlist current.

Pricing

Pay-per-event: one charge per member analyzed. No subscription. If you scan a 10-member watchlist, that is 10 charges. You pay only for the members you actually scan, which keeps small lookups cheap and large watchlists predictable.

Data source and compliance

All data comes from the official US House Clerk financial-disclosure feed, published under the STOCK Act of 2012 as public-domain records. There is no API key and no third-party scraping. The Actor processes no personal data beyond what House members are already required by law to disclose publicly: the member name on the filing, the ticker, the transaction type, the amount range and the date. Nothing private is collected or inferred.

FAQ

Where does the data come from? The official US House Clerk financial-disclosure feed (disclosures-clerk.house.gov), published under the STOCK Act. It is public domain and needs no key.

Can an AI agent call this automatically? Yes. Expose it through the Apify MCP server and an AI agent such as Claude, ChatGPT or Cursor can run the Actor and read the parsed trades on its own. It also works as a LangChain or LlamaIndex tool.

Does it cover the Senate? No, House only. The Senate eFD portal is anti-bot protected and its terms restrict commercial use, so the Senate is deliberately excluded. We state this plainly rather than imply full congressional coverage.

Why are some members empty? They may have no recent e-filed PTRs in your look-back window, or only scanned paper filings, which cannot be parsed without OCR. Widen sinceDays or maxFilings and try again.

Why are the dollar amounts ranges? The STOCK Act requires members to disclose trade size as a band, not an exact number. The Actor reports the low, high and midpoint of each band.

How is the impact score calculated? From the trade's midpoint value (larger band scores higher) plus a recency bonus for trades within 30 or 90 days, capped at 100. It is fully derived from the disclosed numbers.

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Keywords: congress trading, congressional stock trades, House member trades, political trading, PTR disclosures, STOCK Act, House Clerk financial disclosures, politician trading data, Pelosi tracker, periodic transaction report, government transparency data, alternative data.

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Disclaimer: Provided as data for research, journalism and monitoring. This is not investment advice. Historical patterns do not guarantee future results.