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SEC EDGAR Financial Facts Scraper
Scrape SEC EDGAR XBRL financial facts by ticker or CIK. Get reported values for Revenues, Assets, NetIncomeLoss and any us-gaap concept with unit, period, fiscal year, form and filing date.
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from $8.00 / 1,000 results
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👁 SEC EDGAR Financial Facts Scraper
SEC EDGAR Financial Facts Scraper
Extract reported financial figures from SEC EDGAR XBRL data by ticker or CIK, covering every public company that files structured financials with the United States Securities and Exchange Commission.
👁 Apify
👁 United States
👁 Maintained
👁 Output
| 18 fields per record | United States coverage | JSON / CSV / Excel output formats | Updated 2026-06-22 |
What you get
Each record is one reported datapoint for one financial concept in one unit and reporting period, ready to load into any database, spreadsheet, or financial model:
- companyName: registered company name as filed with the SEC
- ticker: stock ticker symbol, when the company is in the SEC ticker directory
- cik: ten digit SEC Central Index Key for the company
- concept: XBRL concept tag, such as Revenues, Assets or NetIncomeLoss
- label: human readable label for the concept
- taxonomy: XBRL taxonomy the concept belongs to, us-gaap or dei
- unit: unit the value is reported in, such as USD, shares or USD/shares
- value: the reported numeric value
- start: start of the period the value covers, for duration concepts
- end: end of the period the value covers
- fy: fiscal year the value was reported for
- fp: fiscal period, such as FY, Q1, Q2 or Q3
- form: filing form the value came from, such as 10-K or 10-Q
- filed: date the source filing was filed
- frame: SEC reporting frame for the datapoint, when assigned
- accessionNumber: accession number of the source filing
- description: full definition of the concept from the taxonomy
- observedAt: when this datapoint was last seen by the scraper
Who is it for
| Use case | Who benefits |
|---|---|
| Fundamental analysis | Investors pulling revenue, assets and income time series |
| Financial modeling | Analysts feeding reported figures into valuation models |
| Peer comparison | Teams comparing the same concept across many companies |
| Screening | Quant teams building datasets keyed by concept and period |
| Data pipelines | Developers loading structured financials into dashboards |
Frequently Asked Questions
How do I choose which companies to pull?
You provide stock tickers such as AAPL or MSFT, or raw CIK numbers, and the actor resolves each ticker to its CIK automatically. You can mix tickers and CIKs in the same run.
Which financial concepts can I extract?
Any concept the company reports in XBRL. Common ones are Revenues, Assets and NetIncomeLoss, but you can request any us-gaap or dei tag, or leave the concept list empty to pull every reported concept for the company.
Why are there several values for the same concept?
Companies report the same concept across many periods and across several filings, and the same period can be restated. Each datapoint carries its period, fiscal year, fiscal period, form and filing date so you can pick exactly the figures you need.
What units should I expect?
Most income and balance sheet figures are in USD, share counts are in shares, and per share figures use USD/shares. You can restrict a run to specific units if you only want one kind.
What happens if a company has no XBRL data?
If a company has not filed structured XBRL facts, the actor records an error row for that company and continues with the rest of the list.
Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- Pull Big Tech Financial Fundamentals: Scrape revenue, net income and assets for Apple, Microsoft, Google, Amazon and Meta from SEC EDGAR XBRL financial facts. Clean numeric values by period.
- Compare Major US Bank Financials: Scrape revenue, net income and assets for JPMorgan, Bank of America, Wells Fargo and Citi from SEC EDGAR XBRL financial facts for benchmarking.
- Pull Deep Financials for One Company: Scrape detailed XBRL financial facts for any company from SEC EDGAR by ticker. Example pulls Tesla revenue, assets, liabilities and cash by period.
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Need data from the same space? Here are other scrapers we build and maintain:
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More scrapers at scrapers.lat
This actor is built and maintained by scrapers.lat, where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at scrapers.lat.
This actor is an independent tool and has no affiliation with the U.S. Securities and Exchange Commission. It only accesses data that is publicly available through the EDGAR open data APIs. Use it in accordance with the SEC EDGAR access terms.
