# Insider Trades Scraper — SEC EDGAR Form 4 by Ticker (`v0iddo/sec-form4-insider-trades`) Actor Pull clean, parsed Form 4 insider trades from SEC EDGAR by ticker. One row per transaction — insider, role, code, shares, price, total USD value, plus link to the filing XML. No auth, no scraping tricks. Uses SEC's free public API. For traders, quants, finance researchers. - **URL**: https://apify.com/v0iddo/sec-form4-insider-trades.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 insider transaction extracteds 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 Form 4 Insider Trades Scraper — by Ticker Pull clean, parsed **Form 4 insider trading transactions** straight from SEC EDGAR by ticker. One row per transaction. Insider, role, code, shares, price, total USD value, links back to the filing XML. No auth, no scraping tricks — uses SEC's public APIs. Built for finance researchers, retail traders, quants, and journalists who want a flat CSV/JSON of who-sold-what-and-when without writing the XML parser themselves. ### What you get One dataset row per insider transaction: | field | example | |---|---| | ticker | `AAPL` | | companyName | `Apple Inc.` | | companyCik | `320193` | | insiderName | `LEVINSON ARTHUR D` | | insiderCik | `1214128` | | insiderRoles | `["director"]` | | officerTitle | `Principal Accounting Officer` | | filingDate | `2026-05-29` | | transactionDate | `2026-05-27` | | transactionCode | `S` | | transactionCodeLabel | `Open market sale` | | securityTitle | `Common Stock` | | shares | `50000` | | pricePerShare | `311.02` | | totalValueUsd | `15551000.00` | | acquiredOrDisposed | `D` | | sharesOwnedAfterTransaction | `3764576` | | ownershipType | `D` | | isDerivative | `false` | | accessionNumber | `0001140361-26-023363` | | filingUrl | https://www.sec.gov/cgi-bin/... | | xmlUrl | https://www.sec.gov/Archives/... | Full SEC transaction code legend ships in `transactionCodeLabel` — no lookup table to maintain on your side. ### Inputs ```json { "tickers": ["AAPL", "TSLA", "NVDA"], "sinceDays": 30, "includeDerivatives": true } ```` | input | type | default | notes | |---|---|---|---| | `tickers` | string\[] | — | Required. Mixed case ok. | | `sinceDays` | integer | `30` | Lookback window from today. Set to `1` for a daily cron. | | `since` | YYYY-MM-DD | — | Overrides `sinceDays` if set. | | `until` | YYYY-MM-DD | today | Inclusive. | | `includeDerivatives` | boolean | `true` | Set false to skip options/RSU rows. | | `userAgent` | string | preset | SEC wants a contact in UA — override only if needed. | ### Daily cron pattern ```json { "tickers": ["AAPL", "MSFT", "NVDA", "AMZN"], "sinceDays": 1 } ``` Schedule daily at 22:00 UTC and the dataset stays clean — only new filings each run. ### What it doesn't do (and won't) - No prediction, no "signal" scoring — raw clean data only. - No PII beyond what SEC itself publishes (insider name + role, as required by law). - No login, no captcha solving, no browser — pure HTTP against `data.sec.gov` and `www.sec.gov`. - No source merging — one Actor, one source. Other exchanges (HKEX, B3, TSX) will get their own Actor. ### Output schema Each row is a flat JSON object (see table above). Datasets export as CSV/JSON/Excel/RSS directly through the Apify UI. ### Maintained by [vøiddo studio](https://voiddo.com) — small independent shop. Ships software the way friends recommend it. Bug? Tweet at the inbox or open an issue. # Actor input Schema ## `tickers` (type: `array`): Stock tickers, e.g. AAPL, TSLA. Mixed case ok. ## `sinceDays` (type: `integer`): How many days back from today to scan filings. Use 1 for a daily cron. ## `since` (type: `string`): Overrides 'sinceDays' if set. Format: YYYY-MM-DD. ## `until` (type: `string`): Inclusive. Defaults to today. ## `includeDerivatives` (type: `boolean`): Most Form 4s are common-stock. Set true to also include options, RSUs, swaps. ## `userAgent` (type: `string`): SEC requires a contact in the UA header. Override only if SEC rejects the default. ## Actor input object example ```json { "tickers": [ "AAPL", "TSLA" ], "sinceDays": 30, "includeDerivatives": true, "userAgent": "voiddo studio sec-form4 ops@voiddo.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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/sec-form4-insider-trades").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", ] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/sec-form4-insider-trades").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" ] }' | apify call v0iddo/sec-form4-insider-trades --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/sec-form4-insider-trades", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Insider Trades Scraper — SEC EDGAR Form 4 by Ticker", "description": "Pull clean, parsed Form 4 insider trades from SEC EDGAR by ticker. One row per transaction — insider, role, code, shares, price, total USD value, plus link to the filing XML. No auth, no scraping tricks. Uses SEC's free public API. For traders, quants, finance researchers.", "version": "0.2", "x-build-id": "RP0QvF17yrm4bkPgt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~sec-form4-insider-trades/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-sec-form4-insider-trades", "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/v0iddo~sec-form4-insider-trades/runs": { "post": { "operationId": "runs-sync-v0iddo-sec-form4-insider-trades", "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/v0iddo~sec-form4-insider-trades/run-sync": { "post": { "operationId": "run-sync-v0iddo-sec-form4-insider-trades", "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": "Stock tickers, e.g. AAPL, TSLA. Mixed case ok.", "items": { "type": "string" } }, "sinceDays": { "title": "Look back (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "How many days back from today to scan filings. Use 1 for a daily cron.", "default": 30 }, "since": { "title": "Or explicit start date (YYYY-MM-DD)", "type": "string", "description": "Overrides 'sinceDays' if set. Format: YYYY-MM-DD." }, "until": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Inclusive. Defaults to today." }, "includeDerivatives": { "title": "Include derivative transactions", "type": "boolean", "description": "Most Form 4s are common-stock. Set true to also include options, RSUs, swaps.", "default": true }, "userAgent": { "title": "User-Agent for SEC requests", "type": "string", "description": "SEC requires a contact in the UA header. Override only if SEC rejects the default.", "default": "voiddo studio sec-form4 ops@voiddo.com" } } }, "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 } } } } } } } } } } ```