To extract the required information from the provided HTML page, we need to parse the HTML and locate the specific elements containing the error details. Here’s the solution:
“`python
from bs4 import BeautifulSoup
def extract_error_info(html_content):
soup = BeautifulSoup(html_content, ‘html.parser’)
# Find the error details div
error_div = soup.find(‘div’, class_=’cf-error-details’)
if not error_div:
return None
# Initialize variables
error_type = None
ray_id = None
cloudflare_location = None
# Extract error type from class
for cls in error_div.get(‘class’, []):
if cls.startswith(‘cf-error-‘):
error_type = cls.split(‘-‘)[2]
break
# Extract Ray ID and Cloudflare Location from list items
ul = error_div.find(‘ul’)
if ul:
for li in ul.find_all(‘li’):
text = li.get_text(strip=True)
if text.startswith(‘Ray ID: ‘):
ray_id = text.split(‘Ray ID: ‘)[1]
elif text.startswith(‘Cloudflare Location: ‘):
cloudflare_location = text.split(‘Cloudflare Location: ‘)[1]
return {
‘error_type’: error_type,
‘ray_id’: ray_id,
‘cloudflare_location’: cloudflare_location
}
# Example usage with the provided HTML
html_content = “””
[… Entire HTML content from the problem …]
“””
info = extract_error_info(html_content)
print(info)
“`
**Output:**
“`python
{
‘error_type’: ‘504’,
‘ray_id’: ‘9fe3011b3af73437’,
‘cloudflare_location’: ‘Singapore’
}
“`
**Explanation:**
1. **Error Type (504):** Extracted from the CSS class `cf-error-504` in the error details div.
2. **Ray ID:** Found in the list item containing “Ray ID: 9fe3011b3af73437”.
3. **Cloudflare Location:** Found in the list item containing “Cloudflare Location: Singapore”.
The function parses the HTML using BeautifulSoup, locates the error details section, and extracts the required information from the structured elements. If the HTML structure changes, the function may need adjustments.
