# SEC EDGAR Scanner — Filings, Insider Trades & Facts (US) (`aspiring_barricade/sec-edgar-scanner`) Actor Unified SEC EDGAR scanner: from a ticker, company name or CIK get recent filings (10-K, 10-Q, 8-K, S-1), insider transactions (Form 3/4/5) and company facts (SIC/industry, address, state) in one call. Official data.sec.gov API, free. Filterable by filing type and date window. - **URL**: https://apify.com/aspiring\_barricade/sec-edgar-scanner.md - **Developed by:** [Joachim Pouchain](https://apify.com/aspiring_barricade) (community) - **Categories:** Developer tools, Automation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 EDGAR Scanner — Filings, Insider Trades & Company Facts (US) A unified **SEC EDGAR API** scanner. Give it a **ticker**, **company name** or **CIK** and get, in one call: recent **SEC filings** (10-K, 10-Q, 8-K, S-1…), **insider trading** transactions (**Form 4**, Form 3/5), and key **company facts** (name, CIK, SIC/industry, address, state of incorporation). Built on the official `data.sec.gov` API — free, no scraping tricks — and shaped into clean JSON for **due diligence**, financial research and AI agents. Most EDGAR actors do one slice (filings only, or insider only, or facts only). This one is the **unified scanner**: filings + insider trades + company facts together, filterable by filing type and date window. ### What it does - **CIK lookup** from a ticker, company name or CIK number. - **Recent filings** — every form (10-K, 10-Q, 8-K, S-1, SD, 13G…) with type, filing/report dates, and official document + index links. - **Insider trading (Form 3/4/5)** — directors' and officers' transactions, toggleable. - **Company facts** — SIC code + industry, address, state of incorporation, exchanges, EIN, former names. - **Filters** — by `filing_types` and a `window_days` date range; `max_items` cost cap. ### Output fields | Field | Meaning | |-------|---------| | `record_type` | `company_facts`, `filing`, or `insider_transaction` | | `company_name`, `cik`, `ticker` | Company identity (on every row) | | `form`, `form_description` | Filing form type (e.g. `10-K`, `4`) | | `filing_date`, `report_date` | Filing and reporting dates | | `accession_number` | SEC accession id | | `filing_url`, `index_url` | Official document + filing-index links | | `sic`, `industry`, `state_of_incorporation`, `address` | On the company-facts row | ### Why this one - **Unified, not a single slice.** Filings **+** insider trades **+** company facts in one run — competitors return only one of the three. - **Official source.** Direct from `data.sec.gov` (with the SEC-required identifying User-Agent) — no fragile HTML scraping, with cache + retry/backoff. - **Resolves ticker / name / CIK** automatically. - **Agent- & n8n-ready.** One clean row per filing/fact; usable as an MCP tool or an n8n step. ### Input ```json { "query": "AAPL", "filing_types": [], "window_days": 90, "include_insider": true, "include_facts": true, "max_items": 50 } ```` | Field | Type | Description | |-------|------|-------------| | `query` | string | Ticker, company name or CIK (e.g. `AAPL`, `Apple Inc`, `320193`). | | `queries` | array | Optional list of companies to scan in one run (overrides `query`). | | `filing_types` | array | Filter by form (e.g. `10-K`, `8-K`). Empty = all. | | `window_days` | integer | Only filings from the last N days. Default 90. | | `include_insider` | boolean | Include Form 3/4/5 insider transactions. Default true. | | `include_facts` | boolean | Include the company-facts row. Default true. | | `max_items` | integer | Max records returned/charged. Default 50. | ### Output Real output rows for **AAPL** (company facts + an insider Form 4): ```json { "record_type": "company_facts", "company_name": "Apple Inc.", "cik": "0000320193", "ticker": "AAPL", "sic": "3571", "industry": "Electronic Computers", "entity_type": "operating", "state_of_incorporation": "CA", "address": "ONE APPLE PARK WAY, CUPERTINO, CA, 95014", "phone": "(408) 996-1010", "exchanges": ["Nasdaq"], "former_names": ["APPLE INC", "APPLE COMPUTER INC", "APPLE COMPUTER INC/ FA"], "ein": "942404110", "fiscal_year_end": "0926", "source": "SEC EDGAR (data.sec.gov)", "source_url": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000320193&type=&owner=include&count=40", "timestamp": "2026-06-29T10:29:50.359Z", "disclaimer": "Data from the official SEC EDGAR system. Informational only, not investment advice." } ``` ```json { "record_type": "insider_transaction", "company_name": "Apple Inc.", "cik": "0000320193", "ticker": "AAPL", "form": "4", "form_description": "FORM 4", "filing_date": "2026-06-17", "report_date": "2026-06-15", "accession_number": "0001140361-26-025622", "is_xbrl": false, "size_bytes": 9220, "filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036126025622/xslF345X06/form4.xml", "index_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036126025622/0001140361-26-025622-index.htm", "source": "SEC EDGAR (data.sec.gov)", "timestamp": "2026-06-29T10:29:50.371Z" } ``` ### Use cases - **Due diligence / KYB** — pull a company's filing history, insider activity and registration facts in one call. - **Financial research & RAG** — feed clean filing metadata + links into an LLM pipeline. - **Insider-trading monitoring** — track Form 4 activity for a watchlist of tickers. - **AI agents / n8n** — a single MCP-ready tool that answers "what has this company filed recently?" ### Pricing Pay-per-result: target **$0.004 per record** (~$3–5 / 1,000), plus Apify platform usage. `max_items` caps spend. ### Categories `Developer tools`, `Automation`, `Agents`, `Business`. ### Notes & limits - Covers EDGAR filers (US public companies and registrants). Private companies that never filed with the SEC won't appear. - Filing arrays cover the company's most recent ~1,000 filings; `window_days` filters within that. - Official data, **not investment advice** — always verify against the original filing via the provided links. ### Use as an MCP tool (AI agents) This Actor is available as an **MCP tool** for AI agents (Claude, ChatGPT, Cursor, etc.) through Apify’s hosted MCP server. Point your MCP client at: ``` https://mcp.apify.com/?actors=aspiring_barricade/sec-edgar-scanner ``` The Actor’s input schema becomes the tool’s parameters automatically. An Apify API token is required. ### Use in n8n Run this Actor inside your [n8n](https://n8n.io) workflows using the official **Apify** node (search “Apify” in the n8n nodes panel) and select the Actor `aspiring_barricade/sec-edgar-scanner`. A dedicated community node (`n8n-nodes-sec-edgar-scanner`) is also published to npm for one-click installation via **n8n → Settings → Community Nodes**. # Actor input Schema ## `query` (type: `string`): Ticker (e.g. AAPL), company name (e.g. Apple Inc) or CIK (e.g. 320193). ## `queries` (type: `array`): Optional list of tickers/names/CIKs to scan in one run. Overrides 'query' when set. ## `filing_types` (type: `array`): Filter filings by form type, e.g. 10-K, 10-Q, 8-K, S-1. Empty = all filing types. Insider forms (3/4/5) are controlled by 'include\_insider'. ## `window_days` (type: `integer`): Only filings from the last N days. ## `include_insider` (type: `boolean`): Include insider trading filings (Form 3, 4, 5). ## `include_facts` (type: `boolean`): Include a company-facts record (name, CIK, SIC/industry, address, state of incorporation). ## `max_items` (type: `integer`): Maximum records returned/charged per run. ## Actor input object example ```json { "query": "AAPL", "queries": [], "filing_types": [], "window_days": 90, "include_insider": true, "include_facts": true, "max_items": 50 } ``` # 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 = { "query": "AAPL", "window_days": 90, "max_items": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("aspiring_barricade/sec-edgar-scanner").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 = { "query": "AAPL", "window_days": 90, "max_items": 50, } # Run the Actor and wait for it to finish run = client.actor("aspiring_barricade/sec-edgar-scanner").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 '{ "query": "AAPL", "window_days": 90, "max_items": 50 }' | apify call aspiring_barricade/sec-edgar-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aspiring_barricade/sec-edgar-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Scanner — Filings, Insider Trades & Facts (US)", "description": "Unified SEC EDGAR scanner: from a ticker, company name or CIK get recent filings (10-K, 10-Q, 8-K, S-1), insider transactions (Form 3/4/5) and company facts (SIC/industry, address, state) in one call. Official data.sec.gov API, free. Filterable by filing type and date window.", "version": "1.0", "x-build-id": "3CQXsT8P4vFc8366i" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aspiring_barricade~sec-edgar-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aspiring_barricade-sec-edgar-scanner", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aspiring_barricade~sec-edgar-scanner/runs": { "post": { "operationId": "runs-sync-aspiring_barricade-sec-edgar-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aspiring_barricade~sec-edgar-scanner/run-sync": { "post": { "operationId": "run-sync-aspiring_barricade-sec-edgar-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Company (ticker / name / CIK)", "type": "string", "description": "Ticker (e.g. AAPL), company name (e.g. Apple Inc) or CIK (e.g. 320193)." }, "queries": { "title": "Multiple companies (optional)", "type": "array", "description": "Optional list of tickers/names/CIKs to scan in one run. Overrides 'query' when set.", "default": [], "items": { "type": "string" } }, "filing_types": { "title": "Filing types (optional)", "type": "array", "description": "Filter filings by form type, e.g. 10-K, 10-Q, 8-K, S-1. Empty = all filing types. Insider forms (3/4/5) are controlled by 'include_insider'.", "default": [], "items": { "type": "string" } }, "window_days": { "title": "Date window (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only filings from the last N days.", "default": 90 }, "include_insider": { "title": "Include insider transactions (Form 3/4/5)", "type": "boolean", "description": "Include insider trading filings (Form 3, 4, 5).", "default": true }, "include_facts": { "title": "Include company facts", "type": "boolean", "description": "Include a company-facts record (name, CIK, SIC/industry, address, state of incorporation).", "default": true }, "max_items": { "title": "Max results (cost cap)", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum records returned/charged per run.", "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 } } } } } } } } } } ```