Building a Costco Price Tracker with Python, Playwright, and Streamlit
📰 Dev.to · Robert N. Gutierrez
Learn to build a Costco price tracker using Python, Playwright, and Streamlit to monitor price changes and make informed purchasing decisions
Action Steps
- Install required libraries using pip: 'pip install playwright streamlit pandas'
- Use Playwright to scrape Costco prices and store data in a Pandas dataframe
- Build a Streamlit app to visualize price changes over time
- Configure the app to update prices automatically using a scheduler like Schedule or APScheduler
- Test the app with a sample product to ensure accurate price tracking
Who Needs to Know This
Data scientists and software engineers can benefit from this project to develop a practical application of web scraping and data visualization, while product managers can use the insights to inform pricing strategies
Key Insight
💡 Web scraping and data visualization can be combined to create a powerful tool for monitoring price changes in e-commerce
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🛍️ Build a Costco price tracker with Python, Playwright, and Streamlit to stay on top of price changes! 💰
Key Takeaways
Learn to build a Costco price tracker using Python, Playwright, and Streamlit to monitor price changes and make informed purchasing decisions
Full Article
In e-commerce, prices are rarely static. Retail giants like Costco adjust prices based on inventory...
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