Scrape course descriptions for curriculum building

To scrape course descriptions for curriculum building, here’s a structured approach using Python with BeautifulSoup and requests. This example assumes you’re targeting publicly available web pages like university course catalogs:

Step-by-Step Python Script for Scraping Course Descriptions

python
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import requests
from bs4 import BeautifulSoup

# Example URL of a university course catalog
url = "https://catalog.mit.edu/subjects/"

# Send a GET request
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

# Example structure: each course block is inside a div with a class like 'courseblock'
course_blocks = soup.find_all('div', class_='courseblock')

courses = []

for block in course_blocks:
    title = block.find('p', class_='courseblocktitle')
    description = block.find('p', class_='courseblockdesc')
    if title and description:
        courses.append({
            'title': title.get_text(strip=True),
            'description': description.get_text(strip=True)
        })

# Output the scraped courses
for course in courses:
    print(f"{course['title']}n{course['description']}n")

Notes:

• Adjust class names based on the actual HTML of the website you are targeting.

• Respect robots.txt and the site’s terms of service.

• For large-scale scraping or restricted sites, consider using selenium, scrapy, or rotating proxies.

If you have a specific university, platform, or structure in mind, I can tailor the scraper to match that site. Just share the URL or structure details.