This guide demonstrates accessing public information without authentication. For authenticated access take a look at our Guide: Scrape behind login walls.

​
Overview

This guide shows how to use Smooth to extract information from government portals. You’ll learn to automate the search and extraction of financial data from complex government websites, perfect for financial analysis, compliance research, and due diligence.
1

Search SEC Filings

Navigate to the SEC’s EDGAR database and search for a specific company’s filings.
Python
sec_search_task = """
Go to https://www.sec.gov/search-filings and search for "Apple Inc".

Find their most recent 10-K filing.

Extract:
- Filing date
- Document title
- Total net sales figure for the most recent fiscal year

Return the extracted info.
"""
2

Execute SEC Search

Run the search task to find Apple’s latest 10-K filing.
Python
from smooth import SmoothClient

smooth_client = SmoothClient(api_key="cmzr-YOUR_API_KEY")

task = smooth_client.run(
    task=sec_search_task,
    enable_recording=True
)

print(f"Live URL: {task.live_url()}")
task_result = task.result()
print(f"Agent Response: {task_result.output}")
print(f"Task Video: {task.recording_url()}")
The agent will navigate to the SEC portal, perform the search, identify the most recent 10-K filing, and extract the total net sales.

​
Use Cases

  • Financial Analysis: Extract key financial metrics from public filings
  • Compliance Research: Monitor regulatory submissions and updates
  • Due Diligence: Gather comprehensive financial data for investment decisions
  • Competitive Intelligence: Track competitors’ financial performance over time
  • Regulatory Monitoring: Stay updated on companies’ regulatory disclosures
  • Investment Research: Access detailed financial statements and footnotes
Smooth can navigate complex government portal layouts and extract structured data even when document formats vary between filings.

​
Community

Join Discord

Join our community for support and showcases