# SEC EDGAR Extractor – Filings & Financials (`hichemdev/sec-edgar-extractor`) Actor Extract SEC filings (10-K, 10-Q, 8-K and more) and XBRL financials - revenue, net income, assets and any US-GAAP concept - for any US public company by ticker or CIK. Powered by the free official SEC EDGAR API: fast, structured, and never blocked. - **URL**: https://apify.com/hichemdev/sec-edgar-extractor.md - **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community) - **Categories:** Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Extractor – Filings & Financials πŸ“Š **Pull SEC filings and XBRL financials for any US public company** by ticker or CIK β€” straight from the free official **SEC EDGAR** API. Reliable, fast, structured, and never blocked. Skip the expensive financial-data vendors. ### πŸ”Ž Modes - **`filings`** β€” list a company's filings (**10-K, 10-Q, 8-K, S-1**, and more) with dates, accession numbers, and direct document links. - **`financials`** β€” pull structured **XBRL** figures (**revenue, net income, assets, liabilities, equity** β€” any US-GAAP concept) with the reporting period for each data point. ### 🎯 Use cases - **Quant & algo traders** β€” build fundamentals datasets and event feeds from filings. - **Alternative-data teams** β€” turn EDGAR into a clean, machine-readable API. - **Investors & analysts** β€” pull revenue/earnings history for any ticker in seconds. - **Fintech builders** β€” power dashboards and screeners with authoritative source data. - **Journalists & researchers** β€” track disclosures across companies at scale. ### πŸ“₯ Input - `mode` β€” `filings` or `financials`. - `tickers` β€” e.g. `AAPL`, `MSFT` (auto-resolved to CIK). - `ciks` β€” optional, if you already have CIK numbers. - `formTypes` β€” filter for `filings` mode (e.g. `10-K`, `8-K`). Empty = all. - `maxFilingsPerCompany` β€” cap per company. - `concepts` β€” US-GAAP concept names for `financials` mode. - `maxDataPointsPerConcept` β€” how many recent periods per concept. - `contactEmail` β€” used in the SEC-required User-Agent header (use your own email). ### πŸ“€ Output (filings) ```json { "company": "Apple Inc.", "cik": "0000320193", "ticker": "AAPL", "form": "10-K", "filingDate": "2025-10-31", "reportDate": "2025-09-27", "accessionNumber": "0000320193-25-000079", "primaryDocument": "aapl-20250927.htm", "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" } ```` ### πŸ“€ Output (financials) ```json { "company": "Apple Inc.", "cik": "0000320193", "concept": "Revenues", "unit": "USD", "value": 391035000000, "periodEnd": "2025-09-27", "fiscalYear": 2025, "fiscalPeriod": "FY", "form": "10-K" } ``` ### πŸ”Œ Integrations & scheduling - **Schedule** it to capture new filings as they're published (great for event-driven strategies). - Export to **CSV, Excel, JSON, or Google Sheets**, or pull via the Apify API. - Feed structured financials straight into a model, spreadsheet, or database. ### ❓ FAQ **Is this official / legal?** Yes β€” it uses the SEC's own public EDGAR endpoints (`data.sec.gov`, `www.sec.gov`), which are free and intended for programmatic access. **Why do I set a contact email?** The SEC asks for a contact email in the request User-Agent. Set `contactEmail` to your own for uninterrupted access. **How is it priced?** Pay per result β€” per filing or per financial data point returned. No subscription. ### πŸ—ΊοΈ Roadmap - Full-text filing search - Insider transactions (Form 4) parsing - New-filing alerts (since last run) # Actor input Schema ## `mode` (type: `string`): "filings" lists a company's SEC filings. "financials" pulls XBRL financial figures. ## `tickers` (type: `array`): Stock tickers, e.g. AAPL, MSFT, TSLA. ## `ciks` (type: `array`): SEC CIK numbers, if you prefer them over tickers. ## `formTypes` (type: `array`): Filter filings by form type. Leave empty for all forms. ## `maxFilingsPerCompany` (type: `integer`): Maximum number of filings to return per company (filings mode). ## `concepts` (type: `array`): US-GAAP XBRL concept names to pull. ## `maxDataPointsPerConcept` (type: `integer`): Maximum number of recent data points to return per financial concept (financials mode). ## `contactEmail` (type: `string`): The SEC requires a contact email in the request User-Agent. Use your email for uninterrupted access. ## Actor input object example ```json { "mode": "filings", "tickers": [ "AAPL" ], "formTypes": [ "10-K", "10-Q", "8-K" ], "maxFilingsPerCompany": 20, "concepts": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity" ], "maxDataPointsPerConcept": 8, "contactEmail": "contact@example.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" ], "formTypes": [ "10-K", "10-Q", "8-K" ], "concepts": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hichemdev/sec-edgar-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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"], "formTypes": [ "10-K", "10-Q", "8-K", ], "concepts": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity", ], } # Run the Actor and wait for it to finish run = client.actor("hichemdev/sec-edgar-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tickers": [ "AAPL" ], "formTypes": [ "10-K", "10-Q", "8-K" ], "concepts": [ "Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity" ] }' | apify call hichemdev/sec-edgar-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hichemdev/sec-edgar-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Extractor – Filings & Financials", "description": "Extract SEC filings (10-K, 10-Q, 8-K and more) and XBRL financials - revenue, net income, assets and any US-GAAP concept - for any US public company by ticker or CIK. Powered by the free official SEC EDGAR API: fast, structured, and never blocked.", "version": "0.1", "x-build-id": "gdueExgQhKMD0BzdW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hichemdev~sec-edgar-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hichemdev-sec-edgar-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hichemdev~sec-edgar-extractor/runs": { "post": { "operationId": "runs-sync-hichemdev-sec-edgar-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hichemdev~sec-edgar-extractor/run-sync": { "post": { "operationId": "run-sync-hichemdev-sec-edgar-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "What to extract", "enum": [ "filings", "financials" ], "type": "string", "description": "\"filings\" lists a company's SEC filings. \"financials\" pulls XBRL financial figures.", "default": "filings" }, "tickers": { "title": "Tickers", "type": "array", "description": "Stock tickers, e.g. AAPL, MSFT, TSLA.", "items": { "type": "string" } }, "ciks": { "title": "CIKs (optional)", "type": "array", "description": "SEC CIK numbers, if you prefer them over tickers.", "items": { "type": "string" } }, "formTypes": { "title": "Form types (filings mode)", "type": "array", "description": "Filter filings by form type. Leave empty for all forms.", "items": { "type": "string" } }, "maxFilingsPerCompany": { "title": "Max filings per company", "minimum": 1, "type": "integer", "description": "Maximum number of filings to return per company (filings mode).", "default": 20 }, "concepts": { "title": "Financial concepts (financials mode)", "type": "array", "description": "US-GAAP XBRL concept names to pull.", "items": { "type": "string" } }, "maxDataPointsPerConcept": { "title": "Max data points per concept", "minimum": 1, "type": "integer", "description": "Maximum number of recent data points to return per financial concept (financials mode).", "default": 8 }, "contactEmail": { "title": "Contact email (for SEC User-Agent)", "type": "string", "description": "The SEC requires a contact email in the request User-Agent. Use your email for uninterrupted access.", "default": "contact@example.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 } } } } } } } } } } ```