How to Retrieve Magento Versions from Multiple URLs and Update CSV Files with Python

Discover how to streamline Magento version detection with Python. Learn to effortlessly retrieve Magento versions from multiple URLs and update CSV files, simplifying the management of Magento-powered websites.

import pandas as pd
import requests
import re

def get_magento_version(url):
    try:
        response = requests.get(url)
        response.raise_for_status()  # Raise an exception for HTTP errors
        decoded_content = response.content.decode('utf-8')
        magento_match = re.search(r'Magento.*', decoded_content)
        if magento_match:
            return magento_match.group()
        else:
            return ''
    except requests.RequestException as e:
        return ''

# Load CSV into DataFrame
df = pd.read_csv('datacsv2.csv')

# Apply get_magento_version function to each URL and create a new column with the result
df['Magento Version'] = df['data'].apply(get_magento_version)

# Save DataFrame to new CSV file
df.to_csv('datacsv5.csv', index=False)

new updated version

import pandas as pd
import requests
import re

def get_magento_version(url):
    try:
        full_url = url + '/magento_version'
        response = requests.get(full_url)
        response.raise_for_status()  # Raise an exception for HTTP errors
        decoded_content = response.content.decode('utf-8')
        magento_match = re.search(r'Magento.*', decoded_content)
        if magento_match:
            print(f"Found Magento version for row {row_num}: {url}: {magento_match.group()}")
            return magento_match.group()
        else:
            print(f"No Magento version found for row {row_num}: {url}")
            return ''
    except requests.RequestException as e:
        print(f"Request failed for row {row_num}: {url}: {e}")
        return ''

# Load CSV into DataFrame
df = pd.read_csv('data.csv')

df['data'] = df['data'].str.replace('\\', '/')

# Apply get_magento_version function to each URL and create a new column with the result
df['Magento Version'] = ''

for row_num, row in df.iterrows():
    df.at[row_num, 'Magento Version'] = get_magento_version(row['data'])

# Save DataFrame to new CSV file
df.to_csv('result.csv', index=False)