# SEC EDGAR Filings Scraper - Insider Trades & Reports (`oriented_wallpaper/sec-edgar-filings-scraper`) Actor Scrape SEC EDGAR filings by stock ticker or company — form type + plain-English label, filing & report dates, filer, accession & direct doc links. Filter to Form 4 insider trades, 8-K, 10-K, 13F etc. + by date. Official SEC data, no API key. Export CSV/JSON/Excel. - **URL**: https://apify.com/oriented\_wallpaper/sec-edgar-filings-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 - Insider Trades & Reports **This SEC EDGAR scraper turns the official SEC filings database into a clean feed** — give it a stock **ticker** (or company name) and get one row per filing: the form type with a **plain-English label**, filing & report dates, the filer, accession number, and **direct links to the filing index and primary document**. Filter to a specific form — **Form 4 insider trades**, 8-K material events, 10-K annual reports, 13F institutional holdings, S-1 IPOs — and by date. Export to CSV, JSON, or Excel. Built for **investors, equity & credit analysts, compliance teams, fintech builders, and journalists** who want a clean, queryable filings/insider-trade feed — not EDGAR's raw 1990s interface. Official SEC data (data.sec.gov), **no API key, no anti-bot.** --- ### Why use this - **Parsed Form 4 insider transactions** — the killer feature. For Form 3/4/5 filings it fetches the ownership XML and returns the **full transaction table** (security, code + plain-English label, shares, price, value, shares owned after) plus the insider's name and role (director / officer + title / 10% owner). Competitors stop at a link to the document. - **Buy/sell `signal_score`** (-100…+100) — every insider filing is classified (open-market buy = bullish, sale = bearish, grant/exercise/tax = routine) with `total_bought_value`, `total_sold_value`, and `net_transaction_value`, so you can rank real conviction trades. - **Company profile on every row** — SIC industry, exchange, fiscal-year-end, state of incorporation, entity category — joined automatically. - **Ticker → filings in one step** — you give `AAPL`; it resolves the CIK and pulls the filings (no CIK lookup needed). - **Plain-English form labels** — `4` → "Insider trade", `8-K` → "Material event", `13F-HR` → "Institutional holdings". - **Direct document links** — jump straight to the filing's primary document and index. - **Form + date filters** — e.g. only Form 4 insider trades since a date, across several tickers at once. - **Authoritative + free** — straight from the SEC, no key, no proxies. #### Input | Field | Type | Description | |---|---|---| | `tickers` | array | Stock tickers, e.g. `["AAPL","NVDA"]`. | | `companyName` | string | Company-name search (partial). | | `ciks` | array | SEC CIKs (advanced). | | `formType` | string | Keep forms starting with this — `4`, `8-K`, `10-K`, `13F`, `SC 13`. | | `dateFrom` | string | Filings on/after `YYYY-MM-DD`. | | `parseInsiderTransactions` | boolean | Parse Form 3/4/5 ownership XML into the transaction table + signal. Default `true`. | | `maxInsiderDocs` | integer | Cap on insider docs parsed per run (each is one extra SEC request). | | `maxItems` | integer | Max filings total. Default `200`. | | `maxPerCompany` | integer | Cap per company (≤1000). | **Example input:** ```json { "tickers": ["AAPL", "NVDA"], "formType": "4", "dateFrom": "2025-01-01", "maxItems": 500 } ```` #### JSON output sample ```json { "ticker": "AAPL", "company": "Apple Inc.", "cik": 320193, "company_sic": "3571", "company_industry": "Electronic Computers", "company_exchange": "Nasdaq", "fiscal_year_end": "0928", "state_of_incorporation": "CA", "form": "4", "form_label": "Insider trade", "filing_date": "2025-05-14", "report_date": "2025-05-12", "accession_number": "0000320193-25-000057", "primary_doc_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000057/xslF345X05/...", "filing_index_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000057/", "insider_name": "Newstead Jennifer", "insider_role": "SVP, GC and Secretary", "insider_is_officer": true, "transactions": [ { "security": "Common Stock", "date": "2025-05-12", "code": "S", "code_label": "Open-market sale", "acquired_disposed": "D", "shares": 16238, "price_per_share": 296.42, "value": 4813267.96, "shares_owned_after": 41546 } ], "transaction_count": 1, "total_bought_value": 0.0, "total_sold_value": 4813267.96, "net_transaction_value": -4813267.96, "insider_signal": "Bearish — open-market sale", "signal_score": -55, "is_xbrl": false, "size": 12345 } ``` Results render as a clean, sortable table (newest first) and export to CSV, JSON, or Excel. *** ### Use cases - **Insider-trade tracking** — pull Form 4s across a watchlist of tickers and watch executive buying/selling. - **Event monitoring** — schedule 8-K pulls to catch material events (M\&A, exec changes, results). - **Fundamental research** — grab the latest 10-K/10-Q with direct document links. - **13F / activist watch** — track institutional holdings and SC 13D/G ownership stakes. - **Compliance / journalism** — a clean, dated, linkable filings trail. *** ### Use with AI agents & automation Run from the Apify **MCP** server so AI agents can pull filings as a tool call, schedule it via **Make**, **n8n**, or **Zapier** to alert on new Form 4s / 8-Ks for a watchlist, or sync to **Google Sheets**. Clean flat JSON drops into a trading/research pipeline with no glue code. *** ### Pricing **Pay-per-event — charged per filing delivered.** Source is the free public SEC EDGAR API (no proxy cost). See the Apify Store page for the current price. *** ### FAQ **Where's the data from?** The official **SEC EDGAR** data API (data.sec.gov) and the SEC ticker→CIK map — public US government data. **Do I need an API key?** No. **How far back does it go?** The SEC "recent" feed holds up to ~1000 of each company's latest filings; use `formType` + `dateFrom` to scope it. **Does Form 4 include the trade details?** Yes — with `parseInsiderTransactions` on (default), the actor fetches each Form 3/4/5 ownership XML and returns the full parsed transaction table (insider name + role, transaction code with a plain-English label, shares, price, total value, shares owned after) plus a buy/sell `signal_score`. Turn it off, or lower `maxInsiderDocs`, for faster link-only runs. **Can I export to CSV or Google Sheets?** Yes — CSV, JSON, or Excel, or sync via Make/n8n/Zapier. *** ### Other Flash Scrape scrapers - [FDA Recall Scraper](https://apify.com/oriented_wallpaper/fda-recall-scraper) — drug/device/food recalls - [US Lobbying Disclosure Scraper](https://apify.com/oriented_wallpaper/lobbying-disclosure-scraper) — federal lobbying filings - [NPI Healthcare Provider Scraper](https://apify.com/oriented_wallpaper/npi-healthcare-leads) — US provider leads - [HUD Assisted Housing Scraper](https://apify.com/oriented_wallpaper/hud-assisted-housing-scraper) — Section 8 properties # Actor input Schema ## `tickers` (type: `array`): Stock ticker symbols, e.g. 'AAPL', 'NVDA', 'TSLA'. The actor resolves them to SEC CIKs. ## `companyName` (type: `string`): Company name search (matches the SEC company title, partial). Use instead of / with tickers. ## `ciks` (type: `array`): SEC Central Index Keys, if you already have them. ## `formType` (type: `string`): Keep only filings whose form starts with this, e.g. '4' (insider trades), '8-K', '10-K', '13F', 'SC 13'. Leave empty for all forms. ## `dateFrom` (type: `string`): Only filings on/after this date (YYYY-MM-DD). Optional. ## `maxItems` (type: `integer`): Maximum filings to return across all companies. ## `maxPerCompany` (type: `integer`): Cap per company (the SEC 'recent' feed holds up to ~1000 latest filings). ## `parseInsiderTransactions` (type: `boolean`): For insider filings, fetch and parse the ownership XML into a structured transaction table (insider name, role, code, shares, price, value, shares owned after) plus a buy/sell signal score. ## `maxInsiderDocs` (type: `integer`): Cap on how many Form 3/4/5 documents to fetch + parse per run (each is one extra request to SEC). ## Actor input object example ```json { "tickers": [ "NVDA", "TSLA" ], "ciks": [], "maxItems": 200, "maxPerCompany": 1000, "parseInsiderTransactions": true, "maxInsiderDocs": 300 } ``` # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/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"] } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/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" ] }' | apify call oriented_wallpaper/sec-edgar-filings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/sec-edgar-filings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filings Scraper - Insider Trades & Reports", "description": "Scrape SEC EDGAR filings by stock ticker or company — form type + plain-English label, filing & report dates, filer, accession & direct doc links. Filter to Form 4 insider trades, 8-K, 10-K, 13F etc. + by date. Official SEC data, no API key. Export CSV/JSON/Excel.", "version": "0.1", "x-build-id": "b3D7myfX5wYCSo5Os" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~sec-edgar-filings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~sec-edgar-filings-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~sec-edgar-filings-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-sec-edgar-filings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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, e.g. 'AAPL', 'NVDA', 'TSLA'. The actor resolves them to SEC CIKs.", "items": { "type": "string" } }, "companyName": { "title": "Company name", "type": "string", "description": "Company name search (matches the SEC company title, partial). Use instead of / with tickers." }, "ciks": { "title": "CIKs (advanced)", "type": "array", "description": "SEC Central Index Keys, if you already have them.", "default": [], "items": { "type": "string" } }, "formType": { "title": "Form type filter", "type": "string", "description": "Keep only filings whose form starts with this, e.g. '4' (insider trades), '8-K', '10-K', '13F', 'SC 13'. Leave empty for all forms." }, "dateFrom": { "title": "Filed on/after (date)", "type": "string", "description": "Only filings on/after this date (YYYY-MM-DD). Optional." }, "maxItems": { "title": "Max filings (total)", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum filings to return across all companies.", "default": 200 }, "maxPerCompany": { "title": "Max filings per company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap per company (the SEC 'recent' feed holds up to ~1000 latest filings).", "default": 1000 }, "parseInsiderTransactions": { "title": "Parse insider transactions (Form 3/4/5)", "type": "boolean", "description": "For insider filings, fetch and parse the ownership XML into a structured transaction table (insider name, role, code, shares, price, value, shares owned after) plus a buy/sell signal score.", "default": true }, "maxInsiderDocs": { "title": "Max insider documents to parse", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Cap on how many Form 3/4/5 documents to fetch + parse per run (each is one extra request to SEC).", "default": 300 } } }, "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 } } } } } } } } } } ```