# Build a SEC Filing Database for Investment Analysis

**Use case:** 

Scrape SEC EDGAR 10-K and 10-Q filings with XBRL financials - revenue, net income, total assets, form type, date, and document URLs. Build a structured...

## Input

```json
{
  "queries": [
    "Amazon",
    "Microsoft"
  ],
  "maxResults": 10,
  "filingType": "10-Q",
  "dateFrom": "",
  "dateTo": "",
  "includeFinancials": true
}
```

## Output

```json
{
  "company_name": {
    "label": "Company",
    "format": "text"
  },
  "ticker": {
    "label": "Ticker",
    "format": "text"
  },
  "filing_type": {
    "label": "Form",
    "format": "text"
  },
  "filing_date": {
    "label": "Filed",
    "format": "date"
  },
  "report_date": {
    "label": "Report Date",
    "format": "date"
  },
  "accession_number": {
    "label": "Accession",
    "format": "text"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "filing_url": {
    "label": "Filing URL",
    "format": "link"
  },
  "document_url": {
    "label": "Document",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [SEC EDGAR Scraper - US Filings, 10-K, 10-Q & Financials](https://apify.com/thirdwatch/sec-edgar-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/sec-edgar-scraper) to learn more, explore other use cases, and run it yourself.