# SEC Insider Trading Tracker — Form 4 (`dp862/sec-insider-trading-tracker`) Actor - **URL**: https://apify.com/dp862/sec-insider-trading-tracker.md - **Developed by:** [Deepthi](https://apify.com/dp862) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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. 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 Track **insider stock trades** the moment they're filed. When a company's officers, directors or 10% owners buy or sell their own stock, they file a **Form 4** with the SEC. This actor turns those filings into clean, structured signals: company, ticker, insider, role, buy/sell, shares, price and holdings after. ### Why this actor Insider buying is one of the most-watched signals in investing — executives buying their own stock often know something. But the raw SEC system is clunky. This actor makes it usable: - ✅ **Official, public, reliable** — straight from SEC EDGAR. - ✅ **One row per transaction** — company, ticker, insider name + title, buy/sell, shares, price, value, shares owned after. - ✅ **Filter by date or transaction type** (e.g. only open-market purchases). - ✅ **Pay-per-event** — pay only for transactions you get. ### Input | Field | Type | Description | |---|---|---| | `keyword` | string | Full-text filter (company/ticker). Blank = all | | `startDate` | string | Earliest filing date, `YYYY-MM-DD` | | `endDate` | string | Latest filing date, `YYYY-MM-DD` | | `transactionType` | string | SEC code filter: `P` buy, `S` sell, `A` grant. Blank = all | | `maxFilings` | integer | Filings to process (default 100) | | `dedupe` | boolean | Remove duplicates (default true) | #### Example ```json { "startDate": "2026-06-01", "endDate": "2026-06-09", "transactionType": "P", "maxFilings": 200 } ```` ### Output ```json { "source": "sec-form4", "issuer": "Westrock Coffee Co", "ticker": "WEST", "insiderName": "Harvey Larry Keith", "insiderTitle": "SVP - Chief Legal Officer", "action": "BUY/ACQUIRE", "transactionType": "A", "shares": 20359, "pricePerShare": 0, "value": 0, "sharesOwnedAfter": 20389, "transactionDate": "2026-06-08", "filingDate": "2026-06-09", "scrapedAt": "2026-06-10T00:00:00.000Z" } ``` ### Use cases - **Retail & professional investors** following insider-buying signals. - **Quant & research teams** building insider-activity datasets. - **Financial media & newsletters** surfacing notable insider trades. - **AI investing agents** — callable as an MCP tool for live insider data. ### Notes All data comes from the SEC's public EDGAR system. Requests use a descriptive User-Agent per SEC guidelines. Not investment advice — raw public data only. Pure HTTP, fast, low cost. ### Pricing Pay-per-event: small flat fee per run + per-transaction fee. See the **Pricing** tab. # Actor input Schema ## `keyword` (type: `string`): Full-text filter, e.g. a company name or ticker. Leave blank for all recent Form 4 filings. ## `startDate` (type: `string`): Earliest filing date to include, e.g. 2026-06-01. ## `endDate` (type: `string`): Latest filing date to include, e.g. 2026-06-09. ## `transactionType` (type: `string`): SEC transaction code to keep, e.g. "P" (open-market purchase), "S" (sale), "A" (grant/award). Blank = all. ## `maxFilings` (type: `integer`): Number of Form 4 filings to fetch and expand into transactions. ## `dedupe` (type: `boolean`): Drop duplicate transactions. ## Actor input object example ```json { "keyword": "", "startDate": "", "endDate": "", "transactionType": "", "maxFilings": 100, "dedupe": true } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dp862/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 = {} # Run the Actor and wait for it to finish run = client.actor("dp862/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 '{}' | apify call dp862/sec-insider-trading-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dp862/sec-insider-trading-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Insider Trading Tracker — Form 4", "version": "0.1", "x-build-id": "2PhW7FsX5haP7bhUr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dp862~sec-insider-trading-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dp862-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dp862~sec-insider-trading-tracker/runs": { "post": { "operationId": "runs-sync-dp862-sec-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dp862~sec-insider-trading-tracker/run-sync": { "post": { "operationId": "run-sync-dp862-sec-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword (optional)", "type": "string", "description": "Full-text filter, e.g. a company name or ticker. Leave blank for all recent Form 4 filings.", "default": "" }, "startDate": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Earliest filing date to include, e.g. 2026-06-01.", "default": "" }, "endDate": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Latest filing date to include, e.g. 2026-06-09.", "default": "" }, "transactionType": { "title": "Transaction code filter (optional)", "type": "string", "description": "SEC transaction code to keep, e.g. \"P\" (open-market purchase), \"S\" (sale), \"A\" (grant/award). Blank = all.", "default": "" }, "maxFilings": { "title": "Max filings to process", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Number of Form 4 filings to fetch and expand into transactions.", "default": 100 }, "dedupe": { "title": "Remove duplicate transactions", "type": "boolean", "description": "Drop duplicate transactions.", "default": true } } }, "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 } } } } } } } } } } ```