SEC EDGAR Financials Revenue & Assets Scraper
Pricing
from $2.00 / 1,000 results
SEC EDGAR Financials Revenue & Assets Scraper
Scrape reported financial figures from SEC EDGAR XBRL data by ticker or CIK. Get Revenues, Assets, NetIncomeLoss and any us-gaap concept with value, unit, fiscal year, period and source filing. Export to JSON, CSV or Excel.
Pricing
from $2.00 / 1,000 results
Rating
5.0
(1)
Developer
Scrapers Lat
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
1
Monthly active users
a day ago
Last modified
Categories
Share
SEC EDGAR Financials Revenue & Assets 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.
📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples
| 18 fields per record | United States coverage | JSON / CSV / Excel output formats |
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:
- Airline Fundamentals: DAL UAL AAL Revenue and Income: Extract SEC EDGAR XBRL fundamentals for Delta, United and American Airlines. Pull revenue, net income and total assets from 10-K and 10-Q filings.
- Automaker Fundamentals: F GM TSLA Revenue and Income: Extract SEC EDGAR XBRL fundamentals for Ford, General Motors and Tesla. Pull revenue, net income and total assets from official 10-K and 10-Q filings.
- Consumer Staples: KO PEP PG Revenue and Net Income: Scrape SEC EDGAR XBRL fundamentals for Coca-Cola, PepsiCo and Procter & Gamble. Get revenue, net income and diluted EPS from 10-K and 10-Q filings.
- Energy Majors Financials: XOM CVX COP Fundamentals: Scrape SEC EDGAR XBRL fundamentals for Exxon Mobil, Chevron and ConocoPhillips. Get revenue, net income and total assets from 10-K and 10-Q filings.
- Pharma Fundamentals: PFE MRK JNJ Revenue and EPS: Scrape SEC EDGAR XBRL fundamentals for Pfizer, Merck and Johnson & Johnson. Get revenue, net income and diluted EPS straight from 10-K and 10-Q filings.
- Retail Fundamentals: WMT TGT COST Sales and Income: Extract SEC EDGAR XBRL fundamentals for Walmart, Target and Costco. Pull revenue, net income and total assets from official 10-K and 10-Q filings.
- Semiconductor Financials: NVDA AMD INTC Fundamentals: Scrape SEC EDGAR XBRL fundamentals for Nvidia, AMD and Intel. Get revenue, net income and diluted EPS straight from 10-K and 10-Q filings.
- Pull Big Tech Financial Fundamentals: Pull Big Tech Financial Fundamentals
- Compare Major US Bank Financials: Compare Major US Bank Financials
- Pull Deep Financials for One Company: Pull Deep Financials for One Company
Export, API and AI agents (x402 + MCP)
Export the scraped data to JSON, CSV or Excel, pull it as a dataset through the Apify API, or wire it into your app with no code. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on x402, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an MCP tool inside Claude, Cursor and other AI clients out of the box. Learn more about x402 agentic payments on Apify.
Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- SEC EDGAR Company Filings Scraper: Scrape SEC EDGAR company filings by ticker or CIK. Get form type, filing date, accession number...
- USAspending Federal Award Scraper: Scrape US federal prime awards from USAspending.gov. Get recipient, UEI, award amount, awarding...
- openFDA Drug Events & Recalls Scraper: Scrape FDA drug adverse event reports (FAERS) and drug recall and enforcement actions from the...
- OFAC Sanctions List Scraper: Download and parse the US Treasury OFAC SDN and Consolidated sanctions lists. Get each sanctioned...
- Grants.gov Opportunity Scraper: Extract U.S. federal grant opportunities from the official Grants.gov API. Scrape title, agency...
- Federal Register Document Scraper: Search and extract documents from the U.S. Federal Register by keyword, document type, agency and...
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.
