# SEC EDGAR Form 4 Scraper (`fluxcurulin/sec-edgar-form4`) Actor Extract structured insider transactions from SEC EDGAR Form 4 filings. Parses insider name, role, transaction type, shares, price per share, and total value. Supports multiple tickers and scheduled recurring runs for hedge funds, compliance teams, and financial analysts. - **URL**: https://apify.com/fluxcurulin/sec-edgar-form4.md - **Developed by:** [Josh Pinkerton](https://apify.com/fluxcurulin) (community) - **Categories:** AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 EDGAR Form 4 Scraper Extract insider trading disclosures from SEC EDGAR Form 4 filings. Get insider transactions, holdings changes, and ownership events for any public company. ### Why use this scraper? - Track insider buying and selling for trading signals - Build datasets of executive transactions across multiple tickers - Monitor ownership changes for compliance or research - Avoid manual EDGAR searches with automated batch lookups ### How to use 1. Open the SEC EDGAR Form 4 Scraper in Apify Console 2. Enter tickers in `tickers`, e.g. `AAPL, MSFT, TSLA` 3. Set `daysBack` and `limit` to control the fetch window 4. Click Run. Output appears in the dataset as structured Form 4 events. ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `tickers` | array | Ticker symbols to query | `AAPL, MSFT` | | `daysBack` | integer | How many days back to search | `30` | | `limit` | integer | Max filings per ticker | `50` | ### Output ```json { "ticker": "AAPL", "filing_date": "2026-06-15", "insider": "Tim Cook", "role": "CEO", "transaction_type": "SALE", "shares": 100000, "price": 210.5, "total_value": 21050000, "filing_url": "https://www.sec.gov/Archives/..." } ```` ### Pricing Pay-per-event: **$0.01 per extracted result**. A 10-ticker weekly snapshot typically costs under $2.00. ### Tips - Schedule weekly runs to maintain an insider-trading time series - Use `daysBack: 7` for lightweight weekly snapshots - Join with price data to compute transaction premiums or discounts ### FAQ **Is EDGAR data free to use?** Yes. SEC filings are public domain, but automated access should be respectful and cached when possible. **What forms are covered?** This actor targets Form 4 insider transaction filings. It does not cover Forms 3, 13F, or 13G. # Actor input Schema ## `tickers` (type: `array`): One ticker symbol per row ## `days_back` (type: `integer`): How many days back to search for filings ## `limit` (type: `integer`): Maximum filings to process per ticker ## Actor input object example ```json { "tickers": [ { "ticker": "AAPL" }, { "ticker": "MSFT" } ], "days_back": 30, "limit": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tickers": [ { "ticker": "AAPL" }, { "ticker": "MSFT" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("fluxcurulin/sec-edgar-form4").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": [ { "ticker": "AAPL" }, { "ticker": "MSFT" }, ] } # Run the Actor and wait for it to finish run = client.actor("fluxcurulin/sec-edgar-form4").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": [ { "ticker": "AAPL" }, { "ticker": "MSFT" } ] }' | apify call fluxcurulin/sec-edgar-form4 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fluxcurulin/sec-edgar-form4", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Form 4 Scraper", "description": "Extract structured insider transactions from SEC EDGAR Form 4 filings. Parses insider name, role, transaction type, shares, price per share, and total value. Supports multiple tickers and scheduled recurring runs for hedge funds, compliance teams, and financial analysts.", "version": "0.1", "x-build-id": "nWUgQQCxR2tf46Bqg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fluxcurulin~sec-edgar-form4/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fluxcurulin-sec-edgar-form4", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fluxcurulin~sec-edgar-form4/runs": { "post": { "operationId": "runs-sync-fluxcurulin-sec-edgar-form4", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fluxcurulin~sec-edgar-form4/run-sync": { "post": { "operationId": "run-sync-fluxcurulin-sec-edgar-form4", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tickers" ], "properties": { "tickers": { "title": "Tickers", "type": "array", "description": "One ticker symbol per row", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "days_back": { "title": "Days Back", "type": "integer", "description": "How many days back to search for filings", "default": 30 }, "limit": { "title": "Max Filings", "type": "integer", "description": "Maximum filings to process per ticker", "default": 50 } } }, "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 } } } } } } } } } } ```