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27 lines
1000 B
Python
27 lines
1000 B
Python
def extract_data(html: str) -> dict:
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from bs4 import BeautifulSoup
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# Parse the HTML content using BeautifulSoup
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soup = BeautifulSoup(html, 'html.parser')
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# Initialize an empty list to hold project data
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projects = []
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# Find all project entries in the HTML
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project_entries = soup.find_all('div', class_='grid-item')
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# Iterate over each project entry to extract title and description
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for entry in project_entries:
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# Extract the title from the h4 element
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title = entry.find('h4', class_='card-title').get_text(strip=True)
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# Extract the description from the p element
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description = entry.find('p', class_='card-text').get_text(strip=True)
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# Append the extracted data as a dictionary to the projects list
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projects.append({
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'title': title,
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'description': description
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})
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# Return the structured data as a dictionary matching the desired JSON schema
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return {'projects': projects} |