SEC 10-K & 10-Q XBRL Financial Statements & Earnings API
Pricing
from $5.00 / 1,000 extracted financial statement periods
Extract audited SEC EDGAR 10-K (Annual) & 10-Q (Quarterly) XBRL financial statements into clean JSON/CSV. Get standardized Revenue, Net Income, Net Profit Margin %, Diluted EPS, Operating Cash Flow, Cash, Total Assets & Liabilities. Built for AI agents (MCP), n8n & stock screeners.
You can access the SEC 10-K & 10-Q XBRL Financial Statements & Earnings API 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
10# Run the Actor and wait for it to finish11run = client.actor("mehdad-datalabs/sec-10k-10q-xbrl-financial-statements-earnings-api").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 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 SEC 10-K & 10-Q XBRL Financial Statements & Earnings API API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: