# SEC EDGAR Filings Scraper - 10-K, 10-Q, 8-K & More (`wetyr_corporation/sec-edgar-filings-scraper`) Actor Bulk extract SEC EDGAR filings: 10-K annual reports, 10-Q quarterly, 8-K material events, S-1 IPO prospectuses, 13F holdings. Filter by ticker, CIK, form type. For hedge funds, equity research, AI/quant. - **URL**: https://apify.com/wetyr\_corporation/sec-edgar-filings-scraper.md - **Developed by:** [WETYR CORPORATION](https://apify.com/wetyr_corporation) (community) - **Categories:** News, AI, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 Filings Scraper Bulk extract SEC EDGAR filings: 10-K annual reports, 10-Q quarterly, 8-K material events, S-1 IPO prospectuses, 13F institutional holdings, DEF 14A proxies. Filter by ticker, CIK, or form type. ### Pricing - $0.10 per actor start - $0.02 per company resolved (ticker → CIK + facts) - $0.01 per filing extracted Typical run: 50 tickers × 20 filings each = $11.10. ### Use cases - Hedge fund equity research data feed - AI/quant trading strategy training data - Insider trading monitoring (Form 4) - Institutional holdings tracking (13F) - Materially adverse event detection (8-K) - Pre-IPO research (S-1) ### SEC compliance SEC requires a real contact email in requests (their fair-access policy). The `userAgent` input is your email - SEC may rate-limit or block scrapers without one. # Actor input Schema ## `tickers` (type: `array`): Public company tickers (e.g. AAPL, TSLA, NVDA). Resolved to CIKs automatically. ## `ciks` (type: `array`): SEC Central Index Keys (e.g. 0000320193 for Apple). Use if you don't want to look up tickers. ## `formTypes` (type: `array`): SEC form types to fetch. Common: 10-K (annual), 10-Q (quarterly), 8-K (material events), S-1 (IPO), DEF 14A (proxy), 13F (institutional holdings). ## `maxFilingsPerCompany` (type: `integer`): Cap per company. ## `userAgent` (type: `string`): SEC requires a real email in the User-Agent header. Use your contact email. ## Actor input object example ```json { "tickers": [ "AAPL" ], "ciks": [], "formTypes": [ "10-K", "10-Q", "8-K" ], "maxFilingsPerCompany": 20, "userAgent": "info@wetyr.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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wetyr_corporation/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"], "formTypes": [ "10-K", "10-Q", "8-K", ], } # Run the Actor and wait for it to finish run = client.actor("wetyr_corporation/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" ], "formTypes": [ "10-K", "10-Q", "8-K" ] }' | apify call wetyr_corporation/sec-edgar-filings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wetyr_corporation/sec-edgar-filings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filings Scraper - 10-K, 10-Q, 8-K & More", "description": "Bulk extract SEC EDGAR filings: 10-K annual reports, 10-Q quarterly, 8-K material events, S-1 IPO prospectuses, 13F holdings. Filter by ticker, CIK, form type. For hedge funds, equity research, AI/quant.", "version": "0.1", "x-build-id": "SvBr5gJyRwPKEVejt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wetyr_corporation~sec-edgar-filings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wetyr_corporation-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wetyr_corporation~sec-edgar-filings-scraper/runs": { "post": { "operationId": "runs-sync-wetyr_corporation-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wetyr_corporation~sec-edgar-filings-scraper/run-sync": { "post": { "operationId": "run-sync-wetyr_corporation-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "userAgent" ], "properties": { "tickers": { "title": "Stock Tickers", "type": "array", "description": "Public company tickers (e.g. AAPL, TSLA, NVDA). Resolved to CIKs automatically.", "default": [], "items": { "type": "string" } }, "ciks": { "title": "CIKs (alternative to tickers)", "type": "array", "description": "SEC Central Index Keys (e.g. 0000320193 for Apple). Use if you don't want to look up tickers.", "default": [], "items": { "type": "string" } }, "formTypes": { "title": "Form Types Filter", "type": "array", "description": "SEC form types to fetch. Common: 10-K (annual), 10-Q (quarterly), 8-K (material events), S-1 (IPO), DEF 14A (proxy), 13F (institutional holdings).", "default": [ "10-K", "10-Q", "8-K" ], "items": { "type": "string" } }, "maxFilingsPerCompany": { "title": "Max Filings Per Company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap per company.", "default": 20 }, "userAgent": { "title": "Your Email Address (required by SEC)", "type": "string", "description": "SEC requires a real email in the User-Agent header. Use your contact email.", "default": "info@wetyr.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 } } } } } } } } } } ```