# SEC Insider Trading Monitor (Form 4) (`straightforward_hydra/sec-form4-insider-trading-monitor`) Actor Track when company insiders buy and sell their own stock, straight from SEC Form 4 filings. Watch specific tickers or monitor the whole market. - **URL**: https://apify.com/straightforward\_hydra/sec-form4-insider-trading-monitor.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** News, SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 insider transactions This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Monitor (Form 4) 📈 **Track when corporate insiders buy and sell their own company's stock — straight from official SEC Form 4 filings.** When a director, officer, or 10%+ owner of a US public company trades that company's shares, the SEC requires them to disclose it on a **Form 4** within two business days. Those filings are one of the most-watched signals in the market — a CEO buying millions of dollars of their own stock, or dumping it, moves prices and headlines. This Actor turns that raw filing stream into **clean, structured, ready-to-use data**. Watch a list of tickers you care about, or monitor **every insider trade filed across the entire market**. > Data comes exclusively from SEC EDGAR — public, government-mandated disclosures. No login, no personal data beyond what the SEC itself publishes, no gray areas. --- ### What you can do with it - 🐋 **Follow the smart money** — see which executives are buying or selling, and how much. - 🔔 **Build insider-trading alerts** — run it on a schedule and pipe results to Slack, email, a Google Sheet, or your app. - 📊 **Feed dashboards & newsletters** — power an "insider buys of the week" feed. - 🤖 **Signal for trading models** — a normalized dataset of insider buys/sells with dollar values. - 🔎 **Due diligence & research** — pull an insider-transaction history for any ticker in seconds. ### Features - ✅ **Two modes** — *Watchlist* (specific tickers/CIKs) or *Market* (every Form 4 filed). - ✅ **Ticker → company resolution** built in — just type `AAPL`, not a CIK number. - ✅ **Buy/sell signal filtering** — defaults to open-market purchases (P) and sales (S), the codes that actually matter. Flip on everything if you want grants, options and gifts too. - ✅ **Dollar-value filter** — e.g. "only trades over $100,000". - ✅ **Rich output** — insider name, role, transaction type, shares, price, total value, shares held after, and a direct link to the filing. - ✅ **Low-maintenance & cheap** — official SEC endpoints, no proxy, no browser, tiny memory footprint. --- ### Input | Field | Description | |---|---| | **Mode** | `watchlist` (specific companies) or `market` (everything filed). | | **Tickers to watch** | e.g. `AAPL`, `TSLA`, `NVDA`. Used in Watchlist mode. | | **CIKs to watch** | SEC CIK numbers for filers without a ticker (optional). | | **Lookback days** | How many days back to scan (1–90). | | **Transaction types** | Which Form 4 codes to keep. Default `P, S`. Pick `ALL` for everything. | | **Minimum transaction value (USD)** | Only keep trades worth at least this much. | | **Include derivatives** | Include options/warrants (off by default). | | **Include amendments** | Include Form 4/A amended filings (on by default). | | **Max results** | Cap the number of transactions returned. | | **Contact email** | Sent to SEC in the User-Agent, per their fair-access policy. | #### Example — watch three companies for big trades ```json { "mode": "watchlist", "tickers": ["AAPL", "TSLA", "NVDA"], "daysBack": 30, "transactionCodes": ["P", "S"], "minTransactionValue": 100000, "contactEmail": "you@example.com" } ```` #### Example — every large insider buy across the market, last 2 days ```json { "mode": "market", "daysBack": 2, "transactionCodes": ["P"], "minTransactionValue": 250000, "contactEmail": "you@example.com" } ``` ### Output Each row is a single insider transaction: ```json { "issuer_ticker": "AAPL", "issuer_name": "Apple Inc.", "issuer_cik": "320193", "insider_name": "COOK TIMOTHY D", "insider_title": "Chief Executive Officer", "relationship": "Director, Chief Executive Officer", "is_director": true, "is_officer": true, "is_ten_percent_owner": false, "security_title": "Common Stock", "transaction_date": "2026-04-01", "filing_date": "2026-04-03", "transaction_code": "S", "transaction_label": "Open-market sale", "direction": "sell", "acquired_disposed": "D", "shares": 50000.0, "price_per_share": 190.25, "transaction_value": 9512500.0, "shares_owned_after": 3200000.0, "ownership_type": "D", "is_derivative": false, "form_type": "4", "accession_number": "0000320193-26-000045", "filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000045/0000320193-26-000045-index.htm", "document_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000045/" } ``` ### Run it on a schedule Set the Actor to run on a **schedule** (e.g. every morning) with a short `daysBack` (2–3) to get a daily digest of new insider activity. Connect an **integration** (Slack, email, webhook, Google Sheets, Zapier/Make) to get alerts pushed to you automatically. ### Transaction codes cheat sheet | Code | Meaning | Signal | |---|---|---| | **P** | Open-market purchase | 🟢 Strong bullish | | **S** | Open-market sale | 🔴 Bearish | | A | Grant / award | Neutral (compensation) | | M | Option/derivative exercise | Neutral | | F | Shares withheld for taxes | Neutral | | G | Gift | Neutral | | C | Conversion of derivative | Neutral | | X | In-the-money option exercise | Neutral | ### Notes & limitations - Uses SEC EDGAR's official public endpoints; respects SEC's fair-access rate limits. - **Market mode** inspects every Form 4 filed in the window, so it takes longer and returns more — use the value/type filters to focus it. - This is **factual public data**, not investment advice. Insiders trade for many reasons; do your own research. *** #### Keywords SEC insider trading scraper, Form 4 scraper, EDGAR scraper, insider transactions, insider buys, insider selling, stock market data, executive stock trades, SEC filings API, insider trading tracker, insider trading monitor, insider trading alerts, 10% owner, director officer trades, follow the insiders, smart money tracker, insider sentiment, stock signals, equity research data, financial data scraper, SEC EDGAR Form 4, insider trading feed. # Actor input Schema ## `mode` (type: `string`): Watchlist = only the tickers/CIKs you list below (fast & cheap). Market = every Form 4 filed across the whole market over the lookback window (the firehose; use the filters below to narrow it). ## `tickers` (type: `array`): Stock ticker symbols to monitor, e.g. AAPL, TSLA, NVDA. Used in Watchlist mode. Case-insensitive. ## `ciks` (type: `array`): SEC CIK numbers, for filers without a ticker. Digits only, e.g. 320193. Optional; merged with the tickers above. ## `daysBack` (type: `integer`): How many days back to scan for filings (1-90). For a scheduled monitor, match this to how often you run it (e.g. run daily with daysBack = 2). ## `transactionCodes` (type: `array`): Which Form 4 transaction codes to keep. P = open-market purchase and S = open-market sale carry the real market signal (the default). Choose ALL to keep everything (grants, option exercises, gifts, tax withholding, etc.). ## `minTransactionValue` (type: `integer`): Only keep transactions worth at least this much (shares x price). Great for filtering Market mode down to meaningful trades, e.g. 100000. Leave empty for no minimum. Note: transactions without a reported price (many grants) are dropped when this is set. ## `includeDerivatives` (type: `boolean`): Include options, warrants and other derivatives (the derivative table). Off by default to keep the output focused on common-stock buys and sells. ## `includeAmendments` (type: `boolean`): Include amended filings as well as originals. ## `maxResults` (type: `integer`): Stop after pushing this many transactions. Leave empty for no limit. ## `contactEmail` (type: `string`): SEC's fair-access policy asks every automated caller to identify itself with a contact email in the User-Agent. Put yours here. It is only sent to SEC.gov. ## Actor input object example ```json { "mode": "watchlist", "tickers": [ "AAPL", "TSLA", "NVDA" ], "daysBack": 7, "transactionCodes": [ "P", "S" ], "includeDerivatives": false, "includeAmendments": true, "contactEmail": "you@example.com" } ``` # 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" ], "contactEmail": "you@example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("straightforward_hydra/sec-form4-insider-trading-monitor").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", ], "contactEmail": "you@example.com", } # Run the Actor and wait for it to finish run = client.actor("straightforward_hydra/sec-form4-insider-trading-monitor").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" ], "contactEmail": "you@example.com" }' | apify call straightforward_hydra/sec-form4-insider-trading-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/sec-form4-insider-trading-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Insider Trading Monitor (Form 4)", "description": "Track when company insiders buy and sell their own stock, straight from SEC Form 4 filings. Watch specific tickers or monitor the whole market.", "version": "0.1", "x-build-id": "c2QQVuLACIGDceyTe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~sec-form4-insider-trading-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-sec-form4-insider-trading-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/straightforward_hydra~sec-form4-insider-trading-monitor/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-sec-form4-insider-trading-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/straightforward_hydra~sec-form4-insider-trading-monitor/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-sec-form4-insider-trading-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Mode", "enum": [ "watchlist", "market" ], "type": "string", "description": "Watchlist = only the tickers/CIKs you list below (fast & cheap). Market = every Form 4 filed across the whole market over the lookback window (the firehose; use the filters below to narrow it).", "default": "watchlist" }, "tickers": { "title": "Tickers to watch", "type": "array", "description": "Stock ticker symbols to monitor, e.g. AAPL, TSLA, NVDA. Used in Watchlist mode. Case-insensitive.", "items": { "type": "string" } }, "ciks": { "title": "CIKs to watch (advanced)", "type": "array", "description": "SEC CIK numbers, for filers without a ticker. Digits only, e.g. 320193. Optional; merged with the tickers above.", "items": { "type": "string" } }, "daysBack": { "title": "Lookback days", "minimum": 1, "maximum": 90, "type": "integer", "description": "How many days back to scan for filings (1-90). For a scheduled monitor, match this to how often you run it (e.g. run daily with daysBack = 2).", "default": 7 }, "transactionCodes": { "title": "Transaction types", "type": "array", "description": "Which Form 4 transaction codes to keep. P = open-market purchase and S = open-market sale carry the real market signal (the default). Choose ALL to keep everything (grants, option exercises, gifts, tax withholding, etc.).", "items": { "type": "string", "enum": [ "P", "S", "A", "M", "F", "G", "C", "X", "ALL" ], "enumTitles": [ "P - Open-market purchase", "S - Open-market sale", "A - Grant / award", "M - Option/derivative exercise", "F - Shares withheld for taxes", "G - Gift", "C - Conversion of derivative", "X - In-the-money option exercise", "ALL - Every transaction type" ] }, "default": [ "P", "S" ] }, "minTransactionValue": { "title": "Minimum transaction value (USD)", "minimum": 0, "type": "integer", "description": "Only keep transactions worth at least this much (shares x price). Great for filtering Market mode down to meaningful trades, e.g. 100000. Leave empty for no minimum. Note: transactions without a reported price (many grants) are dropped when this is set." }, "includeDerivatives": { "title": "Include derivative transactions", "type": "boolean", "description": "Include options, warrants and other derivatives (the derivative table). Off by default to keep the output focused on common-stock buys and sells.", "default": false }, "includeAmendments": { "title": "Include amendments (Form 4/A)", "type": "boolean", "description": "Include amended filings as well as originals.", "default": true }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Stop after pushing this many transactions. Leave empty for no limit." }, "contactEmail": { "title": "Contact email (for SEC)", "type": "string", "description": "SEC's fair-access policy asks every automated caller to identify itself with a contact email in the User-Agent. Put yours here. It is only sent to SEC.gov." } } }, "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 } } } } } } } } } } ```