# Insider Trading Tracker (`zinin/insider-trading-tracker`) Actor Track insider stock trades — SEC Form 3/4/5 filings — for any list of tickers. Official SEC EDGAR data, free, no API key or login. Get filing counts, an at-a-glance activity signal (none/low/high) and direct document links per company. - **URL**: https://apify.com/zinin/insider-trading-tracker.md - **Developed by:** [Tim Zinin](https://apify.com/zinin) (community) - **Categories:** Lead generation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 trade founds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## Insider Trading Tracker — SEC Form 4 Filings by Ticker Point this Actor at a list of tickers and get back their recent SEC insider filings — Form 3, 4 and 5 — with a filing count and an at-a-glance activity signal per company. Straight from official SEC EDGAR data: no API key, no browser, no login. ### What you get - **One row per ticker**: company name, how many Form 3/4/5 filings landed in your lookback window, a `none`/`low`/`high` activity label from that count, and the list of those filings — each with `form`, `filedAt`, `accessionNumber` and a ready-to-open `url`. - **Form 4 is the one that matters.** Insiders must file it within two business days of buying or selling their own company's stock, which makes it the closest thing to a real-time "insider says buy/sell" signal on EDGAR. Form 3 (initial ownership) and Form 5 (annual) round out the picture. - **Lookback window** up to 10 years (`sinceDays`, max 3650). - Up to 100 tickers per run, concurrency up to 10 — SEC EDGAR's own documented rate limit. - Runs on Apify: schedule it, monitor it, call it from the API or the MCP server, export to JSON, CSV or Excel, or push results straight into your own pipeline. ### Who uses it - **Investors & analysts** — a quick insider-activity check on a watchlist without manually digging through EDGAR's Form 4 search. - **Journalists & researchers** — spot clusters of insider selling or buying around a set of tickers. - **Fintech builders** — a clean, structured insider-filings feed to wire into a bot, dashboard or n8n workflow. - **Compliance/IR teams** — monitor competitors' or portfolio companies' insider disclosure activity. ### Why it matters SEC EDGAR's own search UI has no ticker-list mode for insider filings — you either poll the Form 4 search by hand, ticker by ticker, or write your own CIK resolver and filter logic. This Actor does that resolution once per run and hands back one row per ticker, ready to filter, alert on, or pipe into a dataset. ### How to run it 1. Click **Try for free** — no card needed on the free plan. 2. Paste tickers into **Tickers**, one per line. Optionally narrow with **Since (days)**. 3. Press **Start**. Results appear in the dataset — read them in the UI, pull them from the API, or have a webhook push them onward. ### Pricing Pay-per-event: **$0.005 per run start + $0.005 per result found**. No monthly seat, no minimum. 100 tickers that resolve cost about **$0.51**; 1,000 about **$5.01**. An unknown ticker, or a lookup that fails, is still returned — with `found: false` and an `error` explaining why — and it is **not** charged for. ### Input | Field | Required | What it does | |---|---|---| | `tickers` | yes | Stock tickers to check, e.g. `AAPL`, `TSLA`, `NVDA`. Up to 100 per run. | | `sinceDays` | no | Only insider filings (Form 3/4/5) from the last N days (default 90, max 3650 — 10 years). | | `maxConcurrency` | no | Parallelism (1–10, default 5). SEC EDGAR's documented rate limit is 10 req/s. | ```json { "tickers": ["AAPL", "TSLA", "NVDA"] } ```` ### Output (one item per ticker) This is a real row from a real run: ```json { "ticker": "TSLA", "cik": "0001318605", "company": "Tesla, Inc.", "found": true, "insiderFilingCount": 4, "recentInsiderActivity": "high", "recentFilings": [ { "form": "4", "filedAt": "2026-06-17", "accessionNumber": "0001104659-26-075213", "url": "https://www.sec.gov/Archives/edgar/data/1318605/000110465926075213/xslF345X06/tm2618092-2_4seq1.xml" }, { "form": "4", "filedAt": "2026-06-09", "accessionNumber": "0001104659-26-071970", "url": "https://www.sec.gov/Archives/edgar/data/1318605/000110465926071970/xslF345X06/tm2617365-1_4seq1.xml" }, { "form": "4", "filedAt": "2026-05-15", "accessionNumber": "0001104659-26-062860", "url": "https://www.sec.gov/Archives/edgar/data/1318605/000110465926062860/xslF345X06/tm2614845-1_4seq1.xml" }, { "form": "4", "filedAt": "2026-05-04", "accessionNumber": "0001104659-26-055079", "url": "https://www.sec.gov/Archives/edgar/data/1318605/000110465926055079/xslF345X06/tm2613330-1_4seq1.xml" } ], "summary": "Tesla, Inc. (TSLA) — 4 insider filings in the last 90 day(s) (high activity), most recent Form 4 on 2026-06-17.", "checkedAt": "2026-07-26T13:58:42.092Z" } ``` `recentInsiderActivity` is a quick eyeball signal from the raw count in-window: `none` (0), `low` (1–3), `high` (4+). An unknown ticker returns `found: false` with an `error` explaining why — never a partial or ragged row. #### Need the rest of the picture? These run on the same account, take the same shape of input and bill the same way, so they slot into an existing pipeline without new plumbing. | Actor | What it does | |---|---| | [SEC Filing Watcher](https://apify.com/zinin/sec-edgar-watcher) | Watch stock tickers for new SEC filings — 10-K, 10-Q, 8-K, S-1 and more | | [AI Crawler Access Checker](https://apify.com/zinin/ai-crawler-access-checker) | Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website | | [B2B Lead Enricher](https://apify.com/zinin/b2b-lead-enricher) | Turn a list of company websites into sales-qualified lead cards: detected tech stack, a rough revenue… | | [Clinical Trials Monitor](https://apify.com/zinin/clinical-trials-monitor) | Watch conditions, drugs or sponsors for new and updated clinical trials | | [Company Hiring Radar](https://apify.com/zinin/company-hiring-radar) | Pull every open role a company is hiring for from its public job board (Greenhouse, Lever, Ashby) and turn… | ### FAQ **Does it need an API key or login?** No — `company_tickers.json` and `submissions/CIK*.json` are public SEC EDGAR endpoints. **How fresh is the data?** As fresh as EDGAR itself — insiders must file Form 4 within two business days of a transaction, and filings usually appear on EDGAR within minutes of acceptance. **Does it include the reporting insider's name?** Not yet — SEC's per-company filing index doesn't carry a filer/reporting-owner name field, only form/date/accession/document. Pulling that would mean an extra fetch per filing; out of scope for this Actor's one-request-per-company design. **Does it cover filings older than what `sinceDays` reaches?** It reads each company's `filings.recent` list (SEC's own most-recent-filings feed, up to ~1000 entries). For tickers with very high filing volume, a multi-year `sinceDays` window may not reach as far back as 10 years if the 1000-entry cap is hit first. **Can I call it from an AI agent?** Yes — it's a standard Apify Actor, callable via the Apify API or the Apify MCP server. **What this is NOT.** It does not name the reporting insider, does not classify a transaction as a buy or a sell, and does not compute a trading signal — `recentInsiderActivity` is a raw filing-count label, not a scored recommendation. This Actor surfaces public SEC filing metadata for research and monitoring. It is not investment advice — a filing count is not a trading signal, and it is not a substitute for reading the actual Form 4. Found a wrong result, or need a check we don't run? Open an issue on this Actor's page. *** Built by [zinin](https://apify.com/zinin). Questions? Telegram [@timzinin](https://t.me/timzinin). # Actor input Schema ## `tickers` (type: `array`): Stock tickers to check for recent insider trading activity (e.g. `AAPL`, `TSLA`, `NVDA`). One row per ticker. ## `sinceDays` (type: `integer`): Only include insider filings (Form 3, 4 or 5) from the last N days. ## `maxConcurrency` (type: `integer`): How many tickers to process in parallel. SEC EDGAR's documented rate limit is 10 requests/second — keep this at or below 10. ## Actor input object example ```json { "tickers": [ "AAPL", "TSLA", "NVDA" ], "sinceDays": 90, "maxConcurrency": 5 } ``` # 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("zinin/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("zinin/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 zinin/insider-trading-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zinin/insider-trading-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Insider Trading Tracker", "description": "Track insider stock trades — SEC Form 3/4/5 filings — for any list of tickers. Official SEC EDGAR data, free, no API key or login. Get filing counts, an at-a-glance activity signal (none/low/high) and direct document links per company.", "version": "0.1", "x-build-id": "gZPyJSppRijWOfhls" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zinin~insider-trading-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zinin-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zinin~insider-trading-tracker/runs": { "post": { "operationId": "runs-sync-zinin-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zinin~insider-trading-tracker/run-sync": { "post": { "operationId": "run-sync-zinin-insider-trading-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "tickers" ], "properties": { "tickers": { "title": "Tickers", "maxItems": 100, "type": "array", "description": "Stock tickers to check for recent insider trading activity (e.g. `AAPL`, `TSLA`, `NVDA`). One row per ticker.", "items": { "type": "string" } }, "sinceDays": { "title": "Since (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only include insider filings (Form 3, 4 or 5) from the last N days.", "default": 90 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many tickers to process in parallel. SEC EDGAR's documented rate limit is 10 requests/second — keep this at or below 10.", "default": 5 } } }, "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 } } } } } } } } } } ```