S&P 500 Quarterly Reports from SEC EDGAR XBRL
Pricing
$2.00 / 1,000 company period reports
Quarterly and annual financials for S&P 500 companies from SEC EDGAR companyfacts XBRL: revenue, profit, EPS, balance sheet, cash flow, and derived free cash flow. One row per company per fiscal period.
You can access the S&P 500 Quarterly Reports from SEC EDGAR XBRL programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "tickers": [10 "AAPL",11 "MSFT",12 ],13 "ciks": [],14 "accessions": [],15 "forms": [16 "10-Q",17 "10-K",18 ],19}20
21# Run the Actor and wait for it to finish22run = client.actor("mikee368/sp500-quarterly-reports").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")26for item in client.dataset(run.default_dataset_id).iterate_items():27 print(item)28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use S&P 500 Quarterly Reports from SEC EDGAR XBRL API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: