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Scrape XBRL Revenue, Net Income & EPS History

Pull raw XBRL financial facts — revenue, net income, EPS and more — for any US public company as a clean time series for modeling.

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SEC EDGAR Scraper
SEC EDGAR Scraperconstructive_calm/sec-edgar-scraper
Ticker
Company
Concept
Period
+4 fields
Text
Number
Boolean
List
Object

Input

Scraping mode(required):xbrl_facts
Tickers or company names:GOOGL
XBRL concepts (facts mode):Revenues+2
Date from:2018-01-01
Max items:200

Output fields

Ticker
Company
Concept
Period
Value
Unit
Form
Filed

How it works

Sign up on Apify or log in

The SEC EDGAR Scraper Actor is ready to run with the inputs already set for "Scrape XBRL Revenue, Net Income & EPS History". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape XBRL Revenue, Net Income & EPS History" task

The SEC EDGAR Scraper Actor will start running based on the input automatically. You can also change all the input fields, like scraping mode, tickers or company names, and more, to match your specific use case.

Receive the "Scrape XBRL Revenue, Net Income & EPS History" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ticker, company, concept, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape XBRL Revenue, Net Income & EPS History" task via API.

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