# SEC EDGAR Filings Scraper (`alwaysprimedev/sec-edgar-filings-scraper`) Actor Search and download structured metadata for SEC EDGAR filings (10-K, 10-Q, 8-K, S-1, 13F, Form 4, etc.) by ticker, CIK, date range, form type, or full-text query. Optionally enriched with company firmographics. - **URL**: https://apify.com/alwaysprimedev/sec-edgar-filings-scraper.md - **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community) - **Categories:** Automation, SEO tools, Other - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results 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 EDGAR Filings Scraper ⚡️ Structured, ready-to-analyse SEC EDGAR filings — by ticker, CIK, date, form type, or full-text query. JSON, CSV, Excel. ![Apify](https://img.shields.io/badge/Apify-Actor-blue) ![Python](https://img.shields.io/badge/Python-3.11-3776AB?logo=python&logoColor=white) ![Output](https://img.shields.io/badge/output-JSON%20%7C%20CSV%20%7C%20XLSX-green) ![Filings](https://img.shields.io/badge/forms-10--K%20%7C%2010--Q%20%7C%208--K%20%7C%2013F%20%7C%20S--1%20%7C%20Form%204-orange) ### ✨ Why this scraper - 🎯 **Every form, every filer.** 10-K, 10-Q, 8-K, S-1, 13F, Form 4, DEF 14A — anything EDGAR indexes. - 🔎 **Two ways to find filings.** Full-text search across all filings, or pull every filing for a list of companies you already know. - 🏢 **Auto-enriched company info.** Each row comes with industry (SIC), exchange, fiscal year, business address, EIN — no second pipeline. - 🚀 **Fast & reliable.** Polite by default (5 concurrent requests, well under SEC's 10-req/s policy). Auto-retries on transient 5xx with exponential backoff. - 📦 **Drop-in formats.** Download as JSON, CSV, or Excel — straight into your dashboard, notebook, or BI tool. - 🤖 **Incremental-friendly.** `since` parameter for daily diff runs. - 💰 **Predictable cost.** Pay per filing, no surprises. ### 🚀 Quick start 1. **Try for free** — click *Try for free* at the top of this page. 2. **Pick your filters** — tickers (e.g. `AAPL,MSFT`), form types (e.g. `10-K,10-Q`), and a date range. Or use the full-text query box. 3. **Click Start** — the actor runs, you watch progress in real time. 4. **Download results** — JSON, CSV, or Excel from the Output tab. ### ⚙️ Inputs | Field | Description | |---|---| | `scrapeMode` | `search` (default — keyword + form + date across all of EDGAR) or `company` (every filing for a list of companies). | | `query` | Full-text search query, e.g. `"climate change"` or `cybersecurity incident`. Phrase search with quotes. | | `tickers` | Stock tickers (e.g. `AAPL`, `MSFT`). Auto-resolved to CIKs. | | `ciks` | SEC CIK numbers, for filers without a stock ticker (trusts, partnerships, foreign issuers). | | `forms` | Form types to include: `10-K`, `10-Q`, `8-K`, `S-1`, `13F-HR`, `4`, `DEF 14A`, `SC 13D`, etc. Empty = all forms. | | `dateFrom` / `dateTo` | Filing date range (YYYY-MM-DD). Inclusive. | | `locations` | Filter by filer's business state/country code (e.g. `CA`, `NY`). | | `since` | Skip filings older than this date (incremental runs). | | `enrichWithCompanyInfo` | Add company firmographics (industry, exchange, address, EIN, fiscal year). Default `true`. | | `maxItems` | Max filings to return. Default 50, `0` = unlimited. | | `concurrency` | Parallel requests (default 5, max 25). | ### 📦 Sample output ```json { "id": "0000320193-24-000123:aapl-20240928.htm", "accession": "0000320193-24-000123", "form": "10-K", "rootForm": "10-K", "filingDate": "2024-11-01", "reportDate": "2024-09-28", "primaryDocument": "aapl-20240928.htm", "primaryDocumentDescription": "10-K", "fileType": "10-K", "items": [], "cik": "0000320193", "ciks": ["0000320193"], "companyName": "Apple Inc.", "ticker": "AAPL", "tickers": ["AAPL"], "exchanges": ["Nasdaq"], "displayNames": ["APPLE INC. (AAPL) (CIK 0000320193)"], "sic": "3571", "sicDescription": "Electronic Computers", "category": "Large accelerated filer", "ein": "942404110", "lei": null, "fiscalYearEnd": "0926", "entityType": "operating", "website": null, "formerNames": [], "businessLocation": "Cupertino, CA", "businessLocations": ["Cupertino, CA"], "businessStates": ["CA"], "incStates": ["CA"], "fileNumbers": ["001-36743"], "filmNumbers": ["241409582"], "businessAddress": { "street1": "ONE APPLE PARK WAY", "street2": null, "city": "CUPERTINO", "state": "CA", "zip": "95014", "country": null }, "mailingAddress": { "street1": "ONE APPLE PARK WAY", "street2": null, "city": "CUPERTINO", "state": "CA", "zip": "95014", "country": null }, "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000123/aapl-20240928.htm", "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000123/", "scraped_at": "2025-05-10T13:14:15Z" } ```` ### 💡 Use cases | For | What you build | |---|---| | 🏦 **Fundamental investors** | Always-fresh 10-K / 10-Q / 8-K feed for a watchlist. | | 🤖 **Quant & ML teams** | Training data for filing-language models, sentiment over time, event studies. | | 📊 **Equity research** | Track new S-1 filings (IPO pipeline), 13F changes (institutional positioning), Form 4 (insider buying). | | 🛡️ **Compliance & risk** | Monitor specific keywords ("data breach", "going concern", "material weakness") across filings. | | 📰 **Financial news** | Real-time 8-K event monitoring for breaking corporate news. | | 💼 **PropTech / M\&A** | Track SC 13D/13G activist filings, proxy contests, real-estate partnership filings. | ### 💡 Tips & tricks - **Phrase search:** wrap multi-word queries in double quotes — `"material weakness"` matches the phrase, not the bag of words. - **Get every Apple filing ever:** `scrapeMode=company`, `tickers=AAPL`, `maxItems=0`. - **Daily diff job:** schedule with `since` set to "yesterday" and `maxItems=0`. - **Hit 10k cap on a search?** EDGAR's index returns max 10,000 results per query. Slice by date (year-by-year) and concatenate. - **Form 4 / insider trades:** set `forms=4` and a `tickers` list. Each Form 4 is one insider transaction. ### ❓ FAQ **Q: Does this download the actual 10-K document?** No — it returns metadata + the document URL. Use the `url` field with your own downloader if you need the body. (Bulk-download support is on the roadmap.) **Q: Why are some filings missing from a "company" mode run?** Older filings (typically pre-2001) live in a separate index file. Submit a request via Apify Console issue tracker if you need them included. **Q: How fresh is the data?** EDGAR is updated within minutes of acceptance. The full-text index has a ~1-hour delay; the company submissions JSON is near-real-time. **Q: I get a 403 when I try the API directly — does this scraper hit rate limits?** The actor follows SEC's published [fair-access policy](https://www.sec.gov/search-filings/edgar-search-assistance/accessing-edgar-data) (self-identifying User-Agent + ≤10 req/s). You should never see 429s. **Q: GDPR / CCPA?** SEC filings are mandated public regulatory disclosures and exempt from typical PII regimes. All data here is what filers themselves submit to the public record. ### 💰 Pricing Pay-per-result. You only pay for filings actually returned. No charge for failed or empty runs. # Actor input Schema ## `scrapeMode` (type: `string`): How to find filings. 'search' uses the EDGAR full-text search index (best for keyword/topic + form + date queries). 'company' iterates the submissions JSON for one or more companies (best for getting every filing of a known company list). ## `query` (type: `string`): Free-text query passed to EDGAR full-text search. Phrase search supported with double quotes (e.g. "climate change"). Used in 'search' mode only. ## `tickers` (type: `array`): Stock ticker symbols (comma-separated or array). Resolved to CIKs via SEC's official tickers reference. ## `ciks` (type: `array`): SEC CIK numbers (zero-padded or not). Bypasses ticker resolution for filers without stock tickers (trusts, partnerships, foreign private issuers). ## `forms` (type: `array`): EDGAR form types to include (e.g. 10-K, 10-Q, 8-K, S-1, 13F-HR, 4, DEF 14A). Comma-separated or array. Empty = all forms. ## `dateFrom` (type: `string`): Earliest filing date to include (YYYY-MM-DD). Inclusive. ## `dateTo` (type: `string`): Latest filing date to include (YYYY-MM-DD). Inclusive. ## `locations` (type: `array`): Filter by filer's business state/country (US state code or EDGAR country code). Comma-separated or array. Search mode only. ## `since` (type: `string`): ISO date or datetime. When set, filings older than this are skipped. Use this for daily/incremental runs to avoid re-scraping known filings. ## `enrichWithCompanyInfo` (type: `boolean`): Add company name, tickers, exchanges, SIC description, category, EIN, fiscal year end, business and mailing addresses to each filing. Adds one cached request per unique company. ## `maxItems` (type: `integer`): Stop after this many records have been pushed. 0 = unlimited (subject to EDGAR's 10,000-result hard cap per search; slice by date for more). ## `concurrency` (type: `integer`): Parallel HTTP requests. SEC's published policy is 10 requests/second per IP; 5 leaves headroom and is the safe default. ## Actor input object example ```json { "scrapeMode": "search", "query": "\"climate change\"", "tickers": [ "AAPL", "MSFT", "TSLA" ], "ciks": [ "320193", "0000789019" ], "forms": [ "10-K", "10-Q", "8-K" ], "dateFrom": "2024-01-01", "dateTo": "2024-12-31", "locations": [ "CA", "NY" ], "since": "2025-01-01", "enrichWithCompanyInfo": true, "maxItems": 50, "concurrency": 5 } ``` # Actor output Schema ## `filings` (type: `string`): Download the dataset as JSON. ## `filingsCsv` (type: `string`): Download the dataset as CSV. ## `filingsXlsx` (type: `string`): Download the dataset as XLSX. ## `consoleView` (type: `string`): Browse the dataset in the Apify Console. # 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 = { "scrapeMode": "search", "maxItems": 50, "concurrency": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("alwaysprimedev/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 = { "scrapeMode": "search", "maxItems": 50, "concurrency": 5, } # Run the Actor and wait for it to finish run = client.actor("alwaysprimedev/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 '{ "scrapeMode": "search", "maxItems": 50, "concurrency": 5 }' | apify call alwaysprimedev/sec-edgar-filings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alwaysprimedev/sec-edgar-filings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filings Scraper", "description": "Search and download structured metadata for SEC EDGAR filings (10-K, 10-Q, 8-K, S-1, 13F, Form 4, etc.) by ticker, CIK, date range, form type, or full-text query. Optionally enriched with company firmographics.", "version": "0.1", "x-build-id": "C5KLienMfPZI9eweM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alwaysprimedev~sec-edgar-filings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alwaysprimedev-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alwaysprimedev~sec-edgar-filings-scraper/runs": { "post": { "operationId": "runs-sync-alwaysprimedev-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alwaysprimedev~sec-edgar-filings-scraper/run-sync": { "post": { "operationId": "run-sync-alwaysprimedev-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "scrapeMode": { "title": "Mode", "enum": [ "search", "company" ], "type": "string", "description": "How to find filings. 'search' uses the EDGAR full-text search index (best for keyword/topic + form + date queries). 'company' iterates the submissions JSON for one or more companies (best for getting every filing of a known company list).", "default": "search" }, "query": { "title": "Search query", "type": "string", "description": "Free-text query passed to EDGAR full-text search. Phrase search supported with double quotes (e.g. \"climate change\"). Used in 'search' mode only." }, "tickers": { "title": "Tickers", "uniqueItems": true, "type": "array", "description": "Stock ticker symbols (comma-separated or array). Resolved to CIKs via SEC's official tickers reference.", "items": { "type": "string" } }, "ciks": { "title": "CIKs", "uniqueItems": true, "type": "array", "description": "SEC CIK numbers (zero-padded or not). Bypasses ticker resolution for filers without stock tickers (trusts, partnerships, foreign private issuers).", "items": { "type": "string" } }, "forms": { "title": "Form types", "uniqueItems": true, "type": "array", "description": "EDGAR form types to include (e.g. 10-K, 10-Q, 8-K, S-1, 13F-HR, 4, DEF 14A). Comma-separated or array. Empty = all forms.", "items": { "type": "string" } }, "dateFrom": { "title": "Filed on or after", "type": "string", "description": "Earliest filing date to include (YYYY-MM-DD). Inclusive." }, "dateTo": { "title": "Filed on or before", "type": "string", "description": "Latest filing date to include (YYYY-MM-DD). Inclusive." }, "locations": { "title": "Business location codes", "uniqueItems": true, "type": "array", "description": "Filter by filer's business state/country (US state code or EDGAR country code). Comma-separated or array. Search mode only.", "items": { "type": "string" } }, "since": { "title": "Incremental: only newer than", "type": "string", "description": "ISO date or datetime. When set, filings older than this are skipped. Use this for daily/incremental runs to avoid re-scraping known filings." }, "enrichWithCompanyInfo": { "title": "Enrich with company firmographics", "type": "boolean", "description": "Add company name, tickers, exchanges, SIC description, category, EIN, fiscal year end, business and mailing addresses to each filing. Adds one cached request per unique company.", "default": true }, "maxItems": { "title": "Maximum filings", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Stop after this many records have been pushed. 0 = unlimited (subject to EDGAR's 10,000-result hard cap per search; slice by date for more).", "default": 50 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 25, "type": "integer", "description": "Parallel HTTP requests. SEC's published policy is 10 requests/second per IP; 5 leaves headroom and is the safe default.", "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 } } } } } } } } } } ```