SEC Company Facts Extractor
Pricing
$2.00 / 1,000 dataset items
SEC Company Facts Extractor
Extract normalized XBRL company facts from the official SEC EDGAR Company Facts API.
Pricing
$2.00 / 1,000 dataset items
Rating
0.0
(0)
Developer
Prophed Com
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
Categories
Share
Extract normalized XBRL company facts from the official SEC EDGAR Company Facts API. This Actor turns large nested SEC JSON payloads into row-level Apify datasets that are easier to query, export, schedule, and feed into dashboards or data pipelines.
Use cases
- Pull financial facts for public companies by CIK.
- Extract common facts such as assets, liabilities, revenue, net income, and shares outstanding.
- Schedule recurring snapshots for watchlists of public companies.
- Export SEC Company Facts into CSV, JSON, Excel, webhooks, warehouses, or downstream automation.
Input
{"ciks": ["0000320193", "0000789019"],"taxonomies": ["us-gaap", "dei"],"concepts": ["Assets", "Liabilities", "Revenues", "NetIncomeLoss"],"forms": ["10-K", "10-Q"],"latestOnly": false,"maxFactsPerCompany": 250,"maxItems": 1000,"userAgent": "your-product-name/1.0 contact@example.com"}
SEC asks API users to send a descriptive User-Agent with contact information. The Actor exposes this as an input field so users can identify their own usage.
Output
Each dataset row is one reported fact:
{"source": "sec-companyfacts","cik": "0000320193","entityName": "Apple Inc.","taxonomy": "us-gaap","concept": "Assets","label": "Assets","unit": "USD","value": 352755000000,"fy": 2023,"fp": "FY","form": "10-K","filed": "2023-11-03","end": "2023-09-30"}
If a CIK request fails, the Actor writes a structured error row with the CIK, source URL, HTTP status, and error message, then continues with the next CIK.
Notes
This Actor uses public SEC EDGAR endpoints. It is a data extraction and normalization tool, not financial advice. Users are responsible for SEC API usage compliance and for validating any downstream interpretation of financial data.