# SEC Insider Scraper (`parsebird/sec-insider-scraper`) Actor Scrape real-time SEC Form 4 insider transaction data from Dataroma. Filter by timeframe, transaction type, minimum amount, and stock symbols. Get insider buys and sells with filing dates, prices, shares, and SEC filing links. - **URL**: https://apify.com/parsebird/sec-insider-scraper.md - **Developed by:** [ParseBird](https://apify.com/parsebird) (community) - **Categories:** AI, Agents, Other - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.80 / 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.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 ### Dataroma SEC Insider Scraper Scrape real-time SEC Form 4 insider transaction data from [Dataroma](https://www.dataroma.com/m/ins/ins.php). Filter by timeframe, transaction type, minimum amount, and stock symbols. Get insider buys and sells with filing dates, prices, shares, and direct links to SEC filings.
Track corporate insider buying and selling in real time — extract SEC Form 4 filings with transaction details, pricing, and direct links to EDGAR filings.

Dataroma Scraper Suite   •  Superinvestor and insider trading data
 Superinvestor Portfolios
Holdings, allocations, buy/sell activity 		 SEC Insider Transactions
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##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parsebird/dataroma-sec-insider-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/dataroma-sec-insider-scraper").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: timeframe (string, "day"/"week"/"month"/"3months"/"6months"/"1year"/"2years", default "week"), transactionType (string, "all"/"purchases"/"sales", default "all"), ownershipFilter (boolean, default false), minAmount (integer, default 0), symbols (array of strings, max 15, default \[]), sortBy (string, "filingDate"/"symbol"/"transactionDate"/"amount", default "filingDate"), sortOrder (string, "ascending"/"descending", default "descending"), maxResults (integer, 1-50000, default 1000). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~dataroma-sec-insider-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` ### What does Dataroma SEC Insider Scraper do? This Actor scrapes real-time insider transaction data from Dataroma, which aggregates SEC Form 4 filings. These filings are legally required whenever corporate insiders (officers, directors, and 10%+ shareholders) buy or sell shares in their own companies. For each transaction, the scraper collects: - **Filing details** — SEC filing date and time, direct link to EDGAR filing - **Stock info** — ticker symbol, company name - **Insider info** — reporting person name, relationship (CEO, Director, etc.), person ID - **Transaction data** — date, type (purchase/sale), number of shares, price per share, total dollar amount - **Ownership type** — direct (D) or indirect (I) holdings - **Amendment flag** — whether the filing is an amendment (SEC Form 4/A) ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `timeframe` | String | `week` | How far back to look: `day`, `week`, `month`, `3months`, `6months`, `1year`, `2years` | | `transactionType` | String | `all` | Filter: `all`, `purchases`, `sales` | | `ownershipFilter` | Boolean | `false` | Only show transactions from 10%+ ownership insiders | | `minAmount` | Integer | `0` | Minimum transaction dollar value (e.g. `50000` for significant trades only) | | `symbols` | Array | `[]` | Filter by stock symbols (max 15). Leave empty for all | | `sortBy` | String | `filingDate` | Sort field: `filingDate`, `symbol`, `transactionDate`, `amount` | | `sortOrder` | String | `descending` | Sort direction: `ascending`, `descending` | | `maxResults` | Integer | `1000` | Maximum transactions to return | ### Output example ```json { "filingDate": "15 Apr 2026 17:28", "filingUrl": "https://www.sec.gov/Archives/edgar/data/1545819/000154581926000009/xslF345X03/form4-04152026_090422.xml", "symbol": "CAG", "securityName": "CONAGRA BRANDS Inc", "reportingName": "MULLIGAN JOHN J", "reportingPersonId": "1545819", "relationship": "Director", "transactionDate": "14 Apr 2026", "transactionType": "Purchase", "isAmendment": false, "shares": 17500, "price": 14.3087, "amount": 250402, "directIndirect": "D", "insiderUrl": "https://www.dataroma.com/m/ins/ins.php?t=y2&rid=1545819", "scrapedAt": "2026-03-28T12:00:00.000Z" } ```` ### Use cases - **Insider buying signals** — Large insider purchases often signal undervaluation; filter for purchases with `minAmount` above $100k - **Executive exit tracking** — Monitor when C-suite executives are selling large positions - **Stock-specific monitoring** — Track all insider activity for specific tickers in your portfolio - **Cluster buy detection** — Identify when multiple insiders at the same company are buying simultaneously - **Data pipeline** — Feed into trading alerts, financial models, or investment newsletters - **Due diligence** — Check insider transaction history before making investment decisions ### How it works 1. Builds the Dataroma insider page URL with your filter parameters 2. Fetches the HTML page with server-side filtering (timeframe, type, amount, symbols) 3. Parses the transaction table extracting all fields per row 4. Handles pagination automatically — follows "Next" links until all data is collected or `maxResults` is reached 5. Returns one record per insider transaction ### Pricing This actor uses a pay-per-event model. Each insider transaction row extracted counts as one event. | Event | Price per 1000 | |-------|---------------| | `dr-insider-transaction` | $1.80 | ### Legal and compliance This actor scrapes publicly available SEC Form 4 filing data from Dataroma. SEC filings are public records. The data is freely accessible on the web. Always review and comply with the website's Terms of Service before use. # Actor input Schema ## `timeframe` (type: `string`): How far back to look for insider transactions. ## `transactionType` (type: `string`): Filter by purchase or sale transactions. ## `ownershipFilter` (type: `boolean`): Only show transactions from insiders with 10% or greater ownership stake. ## `minAmount` (type: `integer`): Minimum dollar value of the transaction. Set to 0 for no minimum. ## `symbols` (type: `array`): Filter by specific stock ticker symbols (e.g. MSFT, AAPL). Leave empty for all stocks. Maximum 15 symbols. ## `sortBy` (type: `string`): How to sort the results. ## `sortOrder` (type: `string`): Sort direction. ## `maxResults` (type: `integer`): Maximum number of transactions to return. ## Actor input object example ```json { "timeframe": "week", "transactionType": "all", "ownershipFilter": false, "minAmount": 0, "symbols": [], "sortBy": "filingDate", "sortOrder": "descending", "maxResults": 1000 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("parsebird/sec-insider-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("parsebird/sec-insider-scraper").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 parsebird/sec-insider-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parsebird/sec-insider-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Insider Scraper", "description": "Scrape real-time SEC Form 4 insider transaction data from Dataroma. Filter by timeframe, transaction type, minimum amount, and stock symbols. Get insider buys and sells with filing dates, prices, shares, and SEC filing links.", "version": "1.1", "x-build-id": "5d9DQ51ILQiHQ7aDA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parsebird~sec-insider-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parsebird-sec-insider-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parsebird~sec-insider-scraper/runs": { "post": { "operationId": "runs-sync-parsebird-sec-insider-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parsebird~sec-insider-scraper/run-sync": { "post": { "operationId": "run-sync-parsebird-sec-insider-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "timeframe": { "title": "Timeframe", "enum": [ "day", "week", "month", "3months", "6months", "1year", "2years" ], "type": "string", "description": "How far back to look for insider transactions.", "default": "week" }, "transactionType": { "title": "Transaction Type", "enum": [ "all", "purchases", "sales" ], "type": "string", "description": "Filter by purchase or sale transactions.", "default": "all" }, "ownershipFilter": { "title": "10%+ Ownership Only", "type": "boolean", "description": "Only show transactions from insiders with 10% or greater ownership stake.", "default": false }, "minAmount": { "title": "Minimum Transaction Amount ($)", "minimum": 0, "type": "integer", "description": "Minimum dollar value of the transaction. Set to 0 for no minimum.", "default": 0 }, "symbols": { "title": "Stock Symbols", "type": "array", "description": "Filter by specific stock ticker symbols (e.g. MSFT, AAPL). Leave empty for all stocks. Maximum 15 symbols.", "items": { "type": "string" }, "default": [] }, "sortBy": { "title": "Sort By", "enum": [ "filingDate", "symbol", "transactionDate", "amount" ], "type": "string", "description": "How to sort the results.", "default": "filingDate" }, "sortOrder": { "title": "Sort Order", "enum": [ "ascending", "descending" ], "type": "string", "description": "Sort direction.", "default": "descending" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of transactions to return.", "default": 1000 } } }, "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 } } } } } } } } } } ```