# SEC EDGAR Filings Scraper (`datamule/sec-edgar-filings-scraper`) Actor Scrape U.S. SEC EDGAR company filings + metadata from the official public JSON APIs. Query by ticker, CIK, or full-text keyword; filter by form type (10-K, 10-Q, 8-K…) and filing-date range. One clean record per filing with the index + document URLs. Pay per filing. - **URL**: https://apify.com/datamule/sec-edgar-filings-scraper.md - **Developed by:** [Datamule](https://apify.com/datamule) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.35 / 1,000 filing scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Filings Scraper Pull U.S. **SEC EDGAR** company filings and their metadata using EDGAR's **official public JSON APIs** — no scraping of HTML pages, no anti-bot workarounds, no API key. Three query modes, freely combinable, plus form-type and date-range filters. ### Query modes | Mode | Input | What it does | |------|-------|--------------| | **By ticker** | `tickers: ["AAPL", "MSFT"]` | Resolves each ticker to its CIK via SEC's official `company_tickers.json`, then pulls that company's filings. | | **By CIK** | `ciks: ["0000320193", 789019]` | Pulls filings for exact Central Index Keys (with or without zero-padding). | | **By keyword** | `query: "artificial intelligence"` | Full-text search across filing **documents** via EDGAR full-text search (covers filings from 2001 onward). | Filters (apply to every mode): - `formTypes` — e.g. `["10-K", "10-Q", "8-K"]`. Exact match on the form label. Empty = all forms. - `startDate` / `endDate` — `YYYY-MM-DD`, inclusive, on the **filing date**. - `maxResults` — hard cap on records returned (default 50). - `userAgent` — SEC **requires** a descriptive User-Agent on every request. A generic default is provided; set your own contact string (e.g. `"MyCompany you@example.com"`) to be a good EDGAR citizen. ### Example input ```json { "tickers": ["AAPL"], "formTypes": ["10-K"], "maxResults": 5 } ```` ```json { "query": "data breach", "formTypes": ["8-K"], "startDate": "2024-01-01", "endDate": "2024-06-30", "maxResults": 100 } ``` ### Output One dataset record per filing: | Field | Description | |-------|-------------| | `companyName` | Registrant name | | `cik` | 10-digit zero-padded CIK | | `ticker` | Ticker symbol (when resolvable) | | `formType` | SEC form (10-K, 8-K, 4, …) | | `filingDate` | Date filed (YYYY-MM-DD) | | `reportDate` | Period of report (YYYY-MM-DD) | | `acceptanceDateTime` | When EDGAR accepted the filing (company mode) | | `accessionNumber` | EDGAR accession number | | `primaryDocument` | Primary document filename | | `primaryDocDescription` | Primary document description | | `items` | 8-K item codes / hit items (when present) | | `fileNumber` | SEC file number | | `size` | Filing size in bytes (company mode) | | `isXBRL` | Whether the filing is XBRL (company mode) | | `filingIndexUrl` | URL of the filing index page on EDGAR | | `documentUrl` | Direct URL to the primary document | ### Data sources (all official, public) - `https://www.sec.gov/files/company_tickers.json` — ticker → CIK - `https://data.sec.gov/submissions/CIK##########.json` — company profile + filings - `https://efts.sec.gov/LATEST/search-index` — full-text filing search ### Pricing Pay-per-event: charged per filing record returned. ### Notes & limits - EDGAR **full-text search covers filings from 2001 onward**; older filings are reachable by ticker/CIK (the submissions API spans a company's full history). - The Actor sends the mandatory `User-Agent` header and throttles well under SEC's documented 10 requests/second fair-access limit. - This Actor returns filing **metadata and links**, not the parsed body text of each document. # Actor input Schema ## `tickers` (type: `array`): Stock ticker symbols to fetch filings for, e.g. AAPL, MSFT, TSLA. Resolved to the company CIK via SEC's official company\_tickers.json map. Combine with formTypes / date range to narrow. ## `ciks` (type: `array`): SEC Central Index Keys (CIK) to fetch filings for, e.g. 0000320193 or 320193. Use this for companies you already know by CIK, or entities without a ticker. Zero-padding is handled automatically. ## `query` (type: `string`): Full-text search across filing documents via SEC EDGAR full-text search (covers filings from 2001 onward). e.g. "artificial intelligence", "going concern", "data breach". Returns filings whose documents contain the phrase. Leave empty to query by ticker / CIK only. ## `formTypes` (type: `array`): Restrict to specific SEC form types, e.g. 10-K, 10-Q, 8-K, S-1, DEF 14A, 4. Leave empty for all forms. Matching is exact on the form label. ## `startDate` (type: `string`): Only include filings filed on or after this date (YYYY-MM-DD). Leave empty for no lower bound. ## `endDate` (type: `string`): Only include filings filed on or before this date (YYYY-MM-DD). Leave empty for no upper bound. ## `maxResults` (type: `integer`): Maximum number of filing records to return across all query modes. Protects against pulling a company's entire multi-decade history by accident. ## `userAgent` (type: `string`): SEC requires a descriptive User-Agent on every request (e.g. "MyCompany contact@example.com"). A generic default is used if left empty; set your own contact to be a good EDGAR citizen. ## Actor input object example ```json { "tickers": [ "AAPL" ], "ciks": [], "formTypes": [ "10-K" ], "maxResults": 50 } ``` # 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 = { "tickers": [ "AAPL" ], "ciks": [], "query": "", "formTypes": [ "10-K" ], "startDate": "", "endDate": "", "maxResults": 50, "userAgent": "" }; // Run the Actor and wait for it to finish const run = await client.actor("datamule/sec-edgar-filings-scraper").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"], "ciks": [], "query": "", "formTypes": ["10-K"], "startDate": "", "endDate": "", "maxResults": 50, "userAgent": "", } # Run the Actor and wait for it to finish run = client.actor("datamule/sec-edgar-filings-scraper").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" ], "ciks": [], "query": "", "formTypes": [ "10-K" ], "startDate": "", "endDate": "", "maxResults": 50, "userAgent": "" }' | apify call datamule/sec-edgar-filings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datamule/sec-edgar-filings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filings Scraper", "description": "Scrape U.S. SEC EDGAR company filings + metadata from the official public JSON APIs. Query by ticker, CIK, or full-text keyword; filter by form type (10-K, 10-Q, 8-K…) and filing-date range. One clean record per filing with the index + document URLs. Pay per filing.", "version": "0.1", "x-build-id": "CP7HrALu9D5b0Tys6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datamule~sec-edgar-filings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datamule-sec-edgar-filings-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datamule~sec-edgar-filings-scraper/runs": { "post": { "operationId": "runs-sync-datamule-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datamule~sec-edgar-filings-scraper/run-sync": { "post": { "operationId": "run-sync-datamule-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "tickers": { "title": "Stock tickers", "type": "array", "description": "Stock ticker symbols to fetch filings for, e.g. AAPL, MSFT, TSLA. Resolved to the company CIK via SEC's official company_tickers.json map. Combine with formTypes / date range to narrow.", "items": { "type": "string" } }, "ciks": { "title": "CIK numbers", "type": "array", "description": "SEC Central Index Keys (CIK) to fetch filings for, e.g. 0000320193 or 320193. Use this for companies you already know by CIK, or entities without a ticker. Zero-padding is handled automatically.", "items": { "type": "string" } }, "query": { "title": "Full-text keyword", "type": "string", "description": "Full-text search across filing documents via SEC EDGAR full-text search (covers filings from 2001 onward). e.g. \"artificial intelligence\", \"going concern\", \"data breach\". Returns filings whose documents contain the phrase. Leave empty to query by ticker / CIK only." }, "formTypes": { "title": "Form types", "type": "array", "description": "Restrict to specific SEC form types, e.g. 10-K, 10-Q, 8-K, S-1, DEF 14A, 4. Leave empty for all forms. Matching is exact on the form label.", "items": { "type": "string" } }, "startDate": { "title": "Start date (filed on/after)", "type": "string", "description": "Only include filings filed on or after this date (YYYY-MM-DD). Leave empty for no lower bound." }, "endDate": { "title": "End date (filed on/before)", "type": "string", "description": "Only include filings filed on or before this date (YYYY-MM-DD). Leave empty for no upper bound." }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of filing records to return across all query modes. Protects against pulling a company's entire multi-decade history by accident.", "default": 50 }, "userAgent": { "title": "User-Agent (optional)", "type": "string", "description": "SEC requires a descriptive User-Agent on every request (e.g. \"MyCompany contact@example.com\"). A generic default is used if left empty; set your own contact to be a good EDGAR citizen." } } }, "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 } } } } } } } } } } ```