📊 SEC XBRL Company Facts Scraper

🚀 Pull structured financial facts straight from SEC EDGAR in seconds. One run on Apple returned 1,562 fact observations across 8 core concepts, each tagged with fiscal year, period, form, and filing date.

The SEC XBRL Company Facts Scraper reads the official structured financial data the U.S. Securities and Exchange Commission publishes for every public company that files in XBRL. Give it a list of tickers or CIK numbers, pick the financial concepts you care about, and it returns one clean row per reported fact observation. Each row carries the company name, the us-gaap concept, the reported value and unit, the fiscal year and period, the form type (10-K or 10-Q), and the exact date the figure was filed.

Coverage spans every company with XBRL filings in SEC EDGAR, more than 10,000 active tickers mapped to their CIK. Tickers are resolved to CIK automatically using the SEC company ticker map, so you can mix symbols like AAPL and MSFT with raw CIK numbers in the same run. Results are sorted newest first by filing date.

🎯 Target Audience	💡 Primary Use Cases
Financial analysts and equity researchers	Building company financial time series
Fintech and data engineering teams	Feeding fundamentals into models and dashboards
Accountants and auditors	Cross-checking reported figures by filing
Investors and quants	Backtesting on revenue, net income, and EPS

📋 What the SEC XBRL Company Facts Scraper does

This Actor calls the SEC EDGAR XBRL company facts endpoint for each company you request, then flattens the nested taxonomy into a tidy row per observation. It handles the mandatory SEC contact User-Agent header on every request, resolves tickers to CIK, filters by concept and form, and emits records ordered by filing date with the most recent figures first.

• Accepts tickers (AAPL) or CIK numbers (320193 or 0000320193).
• Pulls all reported us-gaap fact observations for each company.
• Filters to a default set of key metrics or any concepts you name.
• Returns value, unit, fiscal year, fiscal period, form, and filing date per fact.

📊 Data fields

Each record includes: cik, concept, entityName, filed, fiscalPeriod, fiscalYear, form, frame, label, results, scrapedAt, unit, value. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. Create a free Apify account using this sign-up link.
2. Open the SEC XBRL Company Facts Scraper in the Apify Console.
3. Enter one or more tickers or CIK numbers in companies.
4. Optionally narrow the run with concepts and forms, and set maxItems.
5. Click Start, then download your results when the run finishes.

🔗 Recommended Actors

• SEC Form 4 Scraper — insider trading transactions from SEC Form 4 filings.
• SEC 13F Holdings Scraper — institutional investment manager holdings.
• SEC Forms Scraper — filing index and metadata across SEC form types.
• FRED Scraper — economic time series from the Federal Reserve.
• US Treasury Fiscal Data Scraper — federal fiscal and debt datasets.

💡 Pro Tip: browse the complete ParseForge collection.

⚠️ Disclaimer: This is an independent tool, not affiliated with or endorsed by the U.S. Securities and Exchange Commission. Only publicly available data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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