Content freshness and updates in SEO Fundamentals - Mini Project: Build & Apply

Content Freshness and Updates

📖 Scenario: You manage a website that shares news articles. To keep your site popular, you want to show visitors that your content is fresh and up to date.

🎯 Goal: Build a simple plan to track and update content freshness on your website.

📋 What You'll Learn

Create a dictionary with article titles and their last update dates

Add a variable to set the freshness threshold in days

Write a loop to find articles older than the threshold

Mark those articles as needing an update

💡 Why This Matters

🌍 Real World

Websites and blogs need to keep their content fresh to attract visitors and rank well in search engines.

💼 Career

SEO specialists and content managers use content freshness strategies to improve website visibility and user engagement.

1

Create the articles data

Create a dictionary called articles with these exact entries: 'Climate Change': '2024-01-10', 'Tech Innovations': '2023-12-15', 'Health Tips': '2024-03-01', 'Travel Guide': '2023-11-20'

SEO Fundamentals

# Create the articles dictionary with titles and last update dates
# Your code here

Need a hint?

Use a dictionary with article titles as keys and date strings as values.

2

Set the freshness threshold

Create a variable called freshness_days and set it to 90 to represent the number of days before an article is considered outdated.

SEO Fundamentals

articles = {
    'Climate Change': '2024-01-10',
    'Tech Innovations': '2023-12-15',
    'Health Tips': '2024-03-01',
    'Travel Guide': '2023-11-20'
}
# Set freshness_days to 90
# Your code here

Need a hint?

This number helps decide if an article is too old.

3

Find outdated articles

Write a for loop using title and date to iterate over articles.items(). Inside the loop, add a comment # Check if article is older than freshness_days to prepare for the next step.

SEO Fundamentals

articles = {
    'Climate Change': '2024-01-10',
    'Tech Innovations': '2023-12-15',
    'Health Tips': '2024-03-01',
    'Travel Guide': '2023-11-20'
}
freshness_days = 90

for title, date in articles.items():
    # Check if article is older than freshness_days
    # Your code here

Need a hint?

Use for title, date in articles.items(): to loop through the dictionary.

4

Mark articles needing update

Inside the for loop, add code to mark articles older than freshness_days by adding their titles to a list called needs_update. First, create needs_update = [] before the loop. Then, inside the loop, add a comment # Add title to needs_update if outdated and the code to append the title.

SEO Fundamentals

articles = {
    'Climate Change': '2024-01-10',
    'Tech Innovations': '2023-12-15',
    'Health Tips': '2024-03-01',
    'Travel Guide': '2023-11-20'
}
freshness_days = 90

needs_update = []
for title, date in articles.items():
    # Check if article is older than freshness_days
    # Add title to needs_update if outdated
    # Your code here

Need a hint?

Use Python's datetime module to compare dates and add outdated titles to needs_update.