parse-html

name	parse-html
description	Extract and clean readable text content from HTML pages, including financial tables, earnings reports, and news articles.

Parse HTML

When to Use

Use this skill for:

1. Article extraction: Pulling clean text from financial news pages.
2. Table parsing: Extracting structured financial tables from earnings releases or SEC filings.
3. Content processing: Cleaning raw HTML before passing to analysis tools.

Definition

def parse_html(url: str, extract_tables: bool = True) -> dict:
    """Fetch and parse an HTML page into structured content.

    Args:
        url: The URL to fetch and parse
        extract_tables: Whether to extract HTML tables as structured data

    Returns:
        Dict with text content and optionally extracted tables
    """
    response = http_client.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    text = soup.get_text(separator='\n', strip=True)
    result = {'text': text[:5000]}
    if extract_tables:
        result['tables'] = extract_html_tables(soup)
    return result

Best Practices

• Always pair with web-search or edgar-search to get URLs first.
• Use extract_tables=True when the target page has financial statements.
• Check result['text'] length — truncation occurs at 5000 characters.