# SEC XBRL Financial Data — Company Facts & Frame Data (`commonelements/sec-xbrl-financials`) Actor Download XBRL financial data from the SEC EDGAR API. Fetch any accounting concept (Assets, Revenue, NetIncomeLoss, EPS) for companies by ticker or CIK, or pull cross-company frame snapshots for a period. Covers US-GAAP and IFRS filers. No API key required. - **URL**: https://apify.com/commonelements/sec-xbrl-financials.md - **Developed by:** [Harry Schoeller](https://apify.com/commonelements) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 dataset item scrapeds 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 XBRL Financial Data — Company Facts & Frame Data Download structured XBRL financial data from the SEC EDGAR public API. Two modes: pull all accounting data for specific companies by ticker or CIK, or retrieve a cross-company snapshot of any single financial concept for a reporting period. ### Modes #### `company-facts` (default) Fetch all XBRL facts (or a filtered subset) for one or more companies. ```json { "mode": "company-facts", "tickers": ["AAPL", "MSFT", "GOOGL"], "concepts": ["Assets", "Revenues", "NetIncomeLoss"], "taxonomies": ["us-gaap"], "unitsFilter": ["USD"], "maxRecordsPerCompany": 100 } ```` #### `frame-data` Get all companies' reported value for a single concept in a specific period. ```json { "mode": "frame-data", "taxonomy": "us-gaap", "concept": "Assets", "unit": "USD", "period": "CY2023Q4I" } ``` ### Example output record (company-facts) ```json { "cik": "0000320193", "ticker": "AAPL", "companyName": "Apple Inc.", "taxonomy": "us-gaap", "concept": "Assets", "label": "Assets", "description": "Sum of the carrying amounts as of the balance sheet date of all assets...", "unit": "USD", "end": "2024-09-28", "val": 364980000000, "accn": "0000320193-24-000123", "fy": 2024, "fp": "FY", "form": "10-K", "filed": "2024-11-01", "fetchedAt": "2025-01-01T00:00:00.000Z" } ``` ### Period format for frame-data | Format | Meaning | |---|---| | CY2023 | Full calendar year 2023 | | CY2023Q4I | Q4 2023 instant (balance sheet) | | CY2023Q1 | Q1 2023 period (income statement) | ### Common concepts - `Assets`, `Liabilities`, `StockholdersEquity` - `Revenues`, `NetIncomeLoss`, `OperatingIncomeLoss` - `EarningsPerShareBasic`, `EarningsPerShareDiluted` - `CashAndCashEquivalentsAtCarryingValue` ### Use cases - Financial analysis and peer benchmarking - Quantitative investing and factor research - Accounting research and academic studies - Industry-wide financial snapshots - ESG and financial health scoring # Actor input Schema ## `mode` (type: `string`): company-facts: fetch all XBRL facts for one or more companies by ticker/CIK. frame-data: fetch all companies' value for a single concept at a specific period. ## `tickers` (type: `array`): Stock tickers to look up (company-facts mode). E.g. AAPL, MSFT, JPM. ## `ciks` (type: `array`): SEC CIK numbers to look up directly (company-facts mode). Will be zero-padded to 10 digits. ## `concepts` (type: `array`): Only return these XBRL concept names. Leave empty for all. E.g. Assets, Revenues, NetIncomeLoss, EarningsPerShareBasic. ## `taxonomies` (type: `array`): Which XBRL taxonomies to include. us-gaap = standard US financials. dei = document/entity info. invest = investment company facts. ## `unitsFilter` (type: `array`): Only return facts in these units. E.g. USD to skip per-share and pure-ratio facts. ## `maxRecordsPerCompany` (type: `integer`): Maximum XBRL fact records per company. 0 = unlimited. ## `taxonomy` (type: `string`): XBRL taxonomy for frame-data mode. ## `concept` (type: `string`): XBRL concept name for frame-data mode. E.g. Assets, PremiumsEarnedNet. ## `unit` (type: `string`): Unit for frame-data mode. E.g. USD, shares, pure. ## `period` (type: `string`): Period for frame-data mode. Instant: CY2024Q1I. Duration: CY2024Q1, CY2024. ## Actor input object example ```json { "mode": "company-facts", "tickers": [ "AAPL", "MSFT" ], "ciks": [ "0000320193", "789019" ], "concepts": [ "Assets", "Revenues", "NetIncomeLoss" ], "taxonomies": [ "us-gaap", "dei" ], "unitsFilter": [ "USD" ], "maxRecordsPerCompany": 0, "taxonomy": "us-gaap", "concept": "Assets", "unit": "USD", "period": "CY2024Q1I" } ``` # Actor output Schema ## `results` (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("commonelements/sec-xbrl-financials").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("commonelements/sec-xbrl-financials").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 commonelements/sec-xbrl-financials --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commonelements/sec-xbrl-financials", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC XBRL Financial Data — Company Facts & Frame Data", "description": "Download XBRL financial data from the SEC EDGAR API. Fetch any accounting concept (Assets, Revenue, NetIncomeLoss, EPS) for companies by ticker or CIK, or pull cross-company frame snapshots for a period. Covers US-GAAP and IFRS filers. No API key required.", "version": "1.0", "x-build-id": "od9A2Rl3LvSaGuU30" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commonelements~sec-xbrl-financials/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commonelements-sec-xbrl-financials", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commonelements~sec-xbrl-financials/runs": { "post": { "operationId": "runs-sync-commonelements-sec-xbrl-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commonelements~sec-xbrl-financials/run-sync": { "post": { "operationId": "run-sync-commonelements-sec-xbrl-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "company-facts", "frame-data" ], "type": "string", "description": "company-facts: fetch all XBRL facts for one or more companies by ticker/CIK. frame-data: fetch all companies' value for a single concept at a specific period.", "default": "company-facts" }, "tickers": { "title": "Tickers", "type": "array", "description": "Stock tickers to look up (company-facts mode). E.g. AAPL, MSFT, JPM.", "items": { "type": "string" } }, "ciks": { "title": "CIKs", "type": "array", "description": "SEC CIK numbers to look up directly (company-facts mode). Will be zero-padded to 10 digits.", "items": { "type": "string" } }, "concepts": { "title": "Concepts (fact filter)", "type": "array", "description": "Only return these XBRL concept names. Leave empty for all. E.g. Assets, Revenues, NetIncomeLoss, EarningsPerShareBasic.", "items": { "type": "string" } }, "taxonomies": { "title": "Taxonomies", "type": "array", "description": "Which XBRL taxonomies to include. us-gaap = standard US financials. dei = document/entity info. invest = investment company facts.", "default": [ "us-gaap" ], "items": { "type": "string" } }, "unitsFilter": { "title": "Units filter", "type": "array", "description": "Only return facts in these units. E.g. USD to skip per-share and pure-ratio facts.", "items": { "type": "string" } }, "maxRecordsPerCompany": { "title": "Max records per company", "minimum": 0, "type": "integer", "description": "Maximum XBRL fact records per company. 0 = unlimited.", "default": 0 }, "taxonomy": { "title": "Taxonomy (frame-data mode)", "type": "string", "description": "XBRL taxonomy for frame-data mode.", "default": "us-gaap" }, "concept": { "title": "Concept (frame-data mode)", "type": "string", "description": "XBRL concept name for frame-data mode. E.g. Assets, PremiumsEarnedNet." }, "unit": { "title": "Unit (frame-data mode)", "type": "string", "description": "Unit for frame-data mode. E.g. USD, shares, pure." }, "period": { "title": "Period (frame-data mode)", "type": "string", "description": "Period for frame-data mode. Instant: CY2024Q1I. Duration: CY2024Q1, CY2024." } } }, "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 } } } } } } } } } } ```