# SEC EDGAR Filing Search (10-K, 10-Q, 8-K) (`data_drifter/sec-edgar-filings`) Actor Search SEC EDGAR filings by keyword, company name, and filing type. Returns structured data from the official EFTS full-text search index covering all filings since 1993. - **URL**: https://apify.com/data\_drifter/sec-edgar-filings.md - **Developed by:** [Curt Smith](https://apify.com/data_drifter) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Filing Search Search the full text of every SEC EDGAR filing ever submitted -- annual reports (10-K), quarterly reports (10-Q), current reports (8-K), registration statements (S-1), proxy statements (DEF 14A), insider trading disclosures (Form 4), beneficial ownership filings, and dozens more. ### What data does it return? For each filing, the actor returns: - **Company name** and **ticker symbol** - **CIK** (Central Index Key) number - **Filing type** (10-K, 10-Q, 8-K, S-1, etc.) - **Date filed** and **period ending** - **Description** of the document - **Accession number** - **Direct URLs** to the filing document and EDGAR filing index - **SIC code** and **business location** - **Items** disclosed (for 8-K filings) ### Use cases - **Investors**: Screen filings for risk factors, revenue mentions, or strategic keywords - **Compliance teams**: Monitor regulatory filings across an industry or peer group - **Researchers**: Build datasets of filings mentioning specific topics (AI, ESG, cybersecurity) - **Legal professionals**: Track material event disclosures (8-K) across companies - **Data journalists**: Investigate corporate disclosures at scale ### How it works The actor queries the SEC EDGAR Full-Text Search System (EFTS), an Elasticsearch-based index maintained by the SEC that covers every filing submitted since approximately 1993. No API key is needed. Results are deduplicated by accession number so you get one row per filing. ### Input example ```json { "keywords": "artificial intelligence", "companyName": "Tesla", "filingTypes": ["10-K", "10-Q"], "dateFrom": "2024-01-01", "dateTo": "2024-12-31", "maxResults": 50 } ```` ### Output example ```json { "companyName": "Tesla, Inc.", "ticker": "TSLA", "cik": "1318605", "filingType": "10-K", "rootForm": "10-K", "dateFiled": "2024-01-29", "periodEnding": "2023-12-31", "description": "10-K", "accessionNumber": "0001628280-24-002390", "filingUrl": "https://www.sec.gov/Archives/edgar/data/1318605/000162828024002390/tsla-20231231.htm", "filingIndexUrl": "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=1318605&type=10-K&dateb=&owner=include&count=40", "documentUrl": "https://www.sec.gov/Archives/edgar/data/1318605/000162828024002390/tsla-20231231.htm", "sicCode": "3711", "businessLocation": "Palo Alto, CA", "items": [] } ``` ### Rate limits The SEC requires a User-Agent header and limits requests to 10 per second. This actor respects those limits with a 100ms delay between API calls. ### Other Data APIs by Data\_drifter | Actor | What it does | |-------|-------------| | [Federal Grant Monitor](https://apify.com/data_drifter/grants-gov-monitor) | Search all federal grant opportunities from Grants.gov | | [DeFi Token Scanner](https://apify.com/data_drifter/defi-token-scanner) | Real-time DeFi token prices, volume, liquidity across all chains | | [Federal Spending Tracker](https://apify.com/data_drifter/federal-spending-tracker) | Track US government contract awards by keyword, agency, contractor | | [FDA Drug Approvals](https://apify.com/data_drifter/fda-drug-approvals) | Search FDA drug approval data, sponsors, dates, active ingredients | | [SEC EDGAR Filings](https://apify.com/data_drifter/sec-edgar-filings) | Search SEC 10-K, 10-Q, 8-K filings by keyword or company | | [Crypto Whale Tracker](https://apify.com/data_drifter/crypto-whale-tracker) | Track large crypto transactions across 11+ blockchains | | [US Patent Search](https://apify.com/data_drifter/us-patent-search) | Search US patents by keyword, inventor, assignee | # Actor input Schema ## `keywords` (type: `string`): Keywords to search for in filing full text. Supports boolean operators (AND, OR, NOT) and quoted phrases. ## `companyName` (type: `string`): Company name (partial match) or CIK number to filter results. ## `filingTypes` (type: `array`): Filing form types to search. Leave empty for all types. ## `dateFrom` (type: `string`): Start date for filing date range filter. ## `dateTo` (type: `string`): End date for filing date range filter. ## `maxResults` (type: `integer`): Maximum number of unique filings to return (deduplicated by accession number). ## Actor input object example ```json { "keywords": "artificial intelligence", "filingTypes": [ "10-K", "10-Q", "8-K" ], "maxResults": 5 } ``` # 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 = { "keywords": "artificial intelligence", "filingTypes": [ "10-K", "10-Q", "8-K" ], "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("data_drifter/sec-edgar-filings").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 = { "keywords": "artificial intelligence", "filingTypes": [ "10-K", "10-Q", "8-K", ], "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("data_drifter/sec-edgar-filings").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 '{ "keywords": "artificial intelligence", "filingTypes": [ "10-K", "10-Q", "8-K" ], "maxResults": 5 }' | apify call data_drifter/sec-edgar-filings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_drifter/sec-edgar-filings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filing Search (10-K, 10-Q, 8-K)", "description": "Search SEC EDGAR filings by keyword, company name, and filing type. Returns structured data from the official EFTS full-text search index covering all filings since 1993.", "version": "0.1", "x-build-id": "j0jgYq6jZUyQCxeO6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_drifter~sec-edgar-filings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_drifter-sec-edgar-filings", "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/data_drifter~sec-edgar-filings/runs": { "post": { "operationId": "runs-sync-data_drifter-sec-edgar-filings", "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/data_drifter~sec-edgar-filings/run-sync": { "post": { "operationId": "run-sync-data_drifter-sec-edgar-filings", "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": { "keywords": { "title": "Search Keywords", "type": "string", "description": "Keywords to search for in filing full text. Supports boolean operators (AND, OR, NOT) and quoted phrases." }, "companyName": { "title": "Company Name or CIK", "type": "string", "description": "Company name (partial match) or CIK number to filter results." }, "filingTypes": { "title": "Filing Types", "type": "array", "description": "Filing form types to search. Leave empty for all types.", "items": { "type": "string" } }, "dateFrom": { "title": "Date From (YYYY-MM-DD)", "type": "string", "description": "Start date for filing date range filter." }, "dateTo": { "title": "Date To (YYYY-MM-DD)", "type": "string", "description": "End date for filing date range filter." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of unique filings to return (deduplicated by accession number).", "default": 5 } } }, "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 } } } } } } } } } } ```