How to Scrape Location Data from Cleveland Clinic Using Menexa – No Coding Required

Web scraping just got easier with Menexa, a tool that allows you to extract data without writing a single line of code. In this tutorial, we’ll walk through the process of scraping location data from Cleveland Clinic, including facility names, addresses, and map information in CleanJSON format.

Getting Started with Menexa

The process begins by copying the Cleveland Clinic locations page URL into Menexa’s designated field. You’ll need to enable list mode to indicate you’re working with repeating elements – perfect for location listings.

Selecting Sample Data

One of Menexa’s strengths is its visual interface. Simply click and drag to highlight a few sample rows directly from the rendered webpage. After selecting your samples, right-click to copy them and paste into Menexa’s sample data box. Ensure everything aligns properly for accurate scraping.

Creating Your Scraper

With your sample data in place, click the “Create a Scraper” button. The system requires approximately two minutes to analyze and prepare your scraping template. Once complete, you’ll be presented with a preview table showing all the detected fields for review.

Expanding Your Scrape

To extract data from additional pages with the same structure, simply scroll down to the URL section and add each additional URL, pressing Enter after each one. Menexa will process all provided URLs using the same scraping configuration.

Programmatic Approach

For those who prefer a more programmatic method, Menexa offers an alternative approach. After copying the generated JSON, navigate to Menexa’s GitHub repository and locate the “extract_data.py” file in the Python directory. Replace the “data” object value with your copied JSON and run the script.

When the script completes its execution, you’ll have a comprehensive JSON file containing all your scraped location data from Cleveland Clinic.

Conclusion

Menexa provides a powerful yet straightforward solution for data extraction tasks that would traditionally require custom code. By following these simple steps, you can quickly gather structured location data from healthcare facilities or similar websites without programming knowledge. The resulting CleanJSON format makes the data immediately usable for various applications.