DEV Community

Cover image for Python Web Application for Comparing Health and Medical Spa Services
Eliana Coleman
Eliana Coleman

Posted on

Python Web Application for Comparing Health and Medical Spa Services

Ever booked a spa service online and instantly thought, “Wait… is this even what I need?” Yeah, same here. I once scheduled a microdermabrasion thinking it was, I don’t know, relaxing? Spoiler: it wasn’t.

So, I got curious and decided to build a little Python web app to compare health and medical spa Bedford Park services—not just price-wise, but actual usefulness for what people really want. Glowy skin? Fat freezing? Stress relief? I wanted it all, you know?

So, what’s the real issue here?

Simple. We all wanna look and feel better, but the options? Overwhelming. Like, should you go for that trendy LED facial or try the Bedford Park coolsculpting thing everyone’s whispering about? 🤷‍♂️ And even if you know what you want, it’s not always clear where to get it or whether it’s right for you. That’s what pushed me to code something practical.

What is a Python app for spa comparison?

Let’s not get too techy, right? Think of it like a really smart digital notepad. It pulls info from trusted spa sites, compares treatments (by type, reviews, pricing), and sorts 'em for you like a no-drama spa assistant. I built mine using Flask (super chill Python framework), threw in a few APIs, and voilà.

Python Code Sample: Simple Web Scraper and Comparator 

import requests
from bs4 import BeautifulSoup
import pandas as pd

# Define the URL for the medical spa
url = 'https://elitechicagospa.com/med-spa-bedford-park/'

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

# Extract treatments from a typical list element (customized as needed)
treatments = soup.find_all('li')
treatment_list = [t.text.strip() for t in treatments if t.text.strip()]

# Mock comparison function (normally you'd scrape multiple sites)
def compare_services(services):
    data = []
    for i, service in enumerate(services):
        data.append({
            'Service': service,
            'Rating': round(4 + i * 0.1, 1),  # Simulated rating
            'Price ($)': 100 + i * 20  # Simulated price
        })
    return pd.DataFrame(data)

# Create and display the comparison
comparison_df = compare_services(treatment_list[:5])
print(comparison_df)
Enter fullscreen mode Exit fullscreen mode

Benefits of this approach

Imagine you're craving one of those ultra-refreshing facials in Bedford Park. You go into the app, click a few filters, and boom—there’s your short list. And yup, it includes links and insider tidbits from actual users.

Low-key benefits I didn’t expect

  • 🧠 Saved brain space. Seriously.
  • 💰 Found better pricing without guessing.
  • 🧴 Discovered treatments I didn’t know existed.
  • 📆 Actually kept appointments ‘cause they were easier to book.

Wanna give it a shot?

Even if you’re not gonna dive into coding, try taking notes on what works for you. What makes a good spa service, really? Is it the vibe? The price? The way your skin glows after? Once you start thinking like that, everything else kinda falls into place.

Oh, and if you're ever near Bedford Park, trust me—there are so many gems hidden in plain sight. You just gotta know how to look.

Final thought:

Try comparing your options this week—whether it’s with a web app or just a smart checklist. You might stumble into your new favorite skincare ritual. And hey, your future self will thank you for that glow. ✨

Top comments (0)