# SEC Insider Trading Tracker - Form 4 + Congress Trades (`intelscrape/sec-insider-trading-tracker`) Actor Track corporate insider trades, large position disclosures, and Congress member trades with cluster buy detection. - **URL**: https://apify.com/intelscrape/sec-insider-trading-tracker.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** AI, Automation, News - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 trades This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## SEC Insider Trading Tracker — Form 4 + Congress Trades Track corporate insider purchases and sales (SEC Form 4) and Congress stock disclosures (STOCK Act). Detects **cluster buy signals** when 2+ insiders buy the same stock within 7 days — one of the most reliable bullish patterns in the market. ### What you get - Insider name, title, company, ticker - Trade type (Purchase 🟢 / Sale 🔴), price, quantity, total value - **Insider role classification** (CEO, CFO, COO, Director, 10% Owner) - **Investment signal** (🔥 LARGE BUY >$500K / ⭐ NOTABLE BUY >$100K) - **Cluster buy alerts** — when 3+ insiders buy same stock in the same week - **Congress trades** — Representatives and Senators stock purchases and sales ### Use cases - **Swing trading signals** — follow smart money insiders - **Fundamental research** — insider buying = confidence in company - **Watchlist building** — track specific tickers for insider activity - **Congress trade following** — PELOSI act / STOCK Act compliance monitoring - **Hedge fund research tools** — insider activity databases ### Sample output ```json { "type": "insider_trade", "ticker": "NVDA", "insiderName": "Jensen Huang", "insiderTitle": "Chief Executive Officer", "insiderRole": "CEO", "tradeType": "P", "tradeTypeLabel": "PURCHASE 🟢", "price": 875.50, "quantity": 10000, "value": 8755000, "valueFormatted": "$8,755,000", "signal": "🔥 LARGE INSIDER BUY (>$500K)", "date": "2026-03-10" } ```` ### Keywords SEC insider trading, Form 4 scraper, insider buying tracker, cluster buy detection, Congress stock trades, STOCK Act, corporate insider trades, smart money tracker, insider purchase alerts, investment research tool, 13F tracker, Form 4 filing scraper ### Schedule Run daily or weekly. Fresh SEC Form 4 filings are posted every business day — every run returns new trades. *** ### ?? More Actors by This Developer | Actor | What it does | |-------|-------------| | **FDA Drug Pipeline Tracker** | Biotech catalyst calendar � front-run FDA readouts before they happen | | **Patent Expiry Monitor** | Pharma patents expiring = generic entry = stock catalyst | | **Gov Contract Scraper** | Government contracts = revenue signal for defense/tech stocks | | **Real Estate Scraper** | REITs and commercial real estate data to complement your portfolio | > ?? **Power combo**: SEC Insider Tracker (who's buying) ? FDA Tracker (what catalyst) ? Patent Monitor (what's expiring). # Actor input Schema ## `daysBack` (type: `integer`): How many days of insider trades to fetch ## `tradeTypes` (type: `array`): P = Purchase (bullish), S = Sale ## `minTransactionValue` (type: `integer`): Filter out small trades ## `trackCongress` (type: `boolean`): Include Congress stock trades (STOCK Act) ## `tickers` (type: `array`): Stock ticker symbols to pull insider (Form 4) trades for. e.g. AAPL, TSLA, NVDA. ## `clusterDays` (type: `integer`): Group buys within this window to detect cluster signals ## `maxResults` (type: `integer`): Max results ## Actor input object example ```json { "daysBack": 30, "tradeTypes": [ "P" ], "minTransactionValue": 50000, "trackCongress": true, "tickers": [ "AAPL", "TSLA", "NVDA" ], "clusterDays": 7, "maxResults": 500 } ``` # 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 = { "tickers": [ "AAPL", "TSLA", "NVDA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("intelscrape/sec-insider-trading-tracker").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 = { "tickers": [ "AAPL", "TSLA", "NVDA", ] } # Run the Actor and wait for it to finish run = client.actor("intelscrape/sec-insider-trading-tracker").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 '{ "tickers": [ "AAPL", "TSLA", "NVDA" ] }' | apify call intelscrape/sec-insider-trading-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/sec-insider-trading-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Insider Trading Tracker - Form 4 + Congress Trades", "description": "Track corporate insider trades, large position disclosures, and Congress member trades with cluster buy detection.", "version": "2.0", "x-build-id": "ho8kEAfXd7qIkTgXU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~sec-insider-trading-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-sec-insider-trading-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/intelscrape~sec-insider-trading-tracker/runs": { "post": { "operationId": "runs-sync-intelscrape-sec-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/intelscrape~sec-insider-trading-tracker/run-sync": { "post": { "operationId": "run-sync-intelscrape-sec-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "daysBack": { "title": "Days to look back", "minimum": 1, "maximum": 365, "type": "integer", "description": "How many days of insider trades to fetch", "default": 30 }, "tradeTypes": { "title": "Trade types", "type": "array", "description": "P = Purchase (bullish), S = Sale", "items": { "type": "string", "enum": [ "P", "S" ] }, "default": [ "P" ] }, "minTransactionValue": { "title": "Minimum trade value ($)", "minimum": 0, "type": "integer", "description": "Filter out small trades", "default": 50000 }, "trackCongress": { "title": "Include Congress stock trades (STOCK Act)", "type": "boolean", "description": "Include Congress stock trades (STOCK Act)", "default": true }, "tickers": { "title": "Filter by ticker symbols (optional)", "type": "array", "description": "Stock ticker symbols to pull insider (Form 4) trades for. e.g. AAPL, TSLA, NVDA.", "items": { "type": "string" }, "default": [] }, "clusterDays": { "title": "Cluster detection window (days)", "minimum": 1, "maximum": 30, "type": "integer", "description": "Group buys within this window to detect cluster signals", "default": 7 }, "maxResults": { "title": "Max results", "minimum": 10, "maximum": 2000, "type": "integer", "description": "Max results", "default": 500 } } }, "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 } } } } } } } } } } ```