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https://github.com/xenoswarlocks/python-web-scraping-and-data-integration-toolkit

This Python repository provides a toolkit for web scraping, data cleaning, and integration tasks. The process involves scraping data from a specified URL, cleaning the extracted text to remove unwanted substrings, replacing specific characters, and extracting first and last names from the cleaned text.
https://github.com/xenoswarlocks/python-web-scraping-and-data-integration-toolkit

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This Python repository provides a toolkit for web scraping, data cleaning, and integration tasks. The process involves scraping data from a specified URL, cleaning the extracted text to remove unwanted substrings, replacing specific characters, and extracting first and last names from the cleaned text.

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# Python Web Scraping and Data Integration Toolkit

This Python repository offers a toolkit for web scraping, data cleaning, and integration tasks. It provides a seamless workflow for scraping data from a specified URL, cleaning the extracted text, replacing specific characters, and extracting relevant information.

## Instructions:

1. **Scraping Data:**
- Open `main.py`.
- Update the `url` variable with the desired URL to scrape.
- Run `python main.py` in your shell.

2. **Cleaning Data:**
- Open `clean.py`.
- Update the `unwanted_substrings` list as needed.
- Run `python clean.py` in your shell.

3. **Replacing Characters:**
- Open `replaced.py`.
- Modify the script as required.
- Run `python replaced.py` in your shell.

4. **Extracting First and Last Names:**
- Open `firstlast.py`.
- Customize the script if necessary.
- Run `python firstlast.py` in your shell.

## File Descriptions:

- **main.py:** Scrapes data from a specified URL and saves it to a file.
- **clean.py:** Cleans the extracted text by removing unwanted substrings and trailing whitespaces.
- **replaced.py:** Replaces specific characters (e.g., hyphens) in the cleaned text.
- **firstlast.py:** Extracts first and last names from the cleaned text.

## Usage:

- Ensure Python is installed on your system.
- Install the required dependencies using `pip install -r requirements.txt`.
- Execute each script individually as per the provided instructions.

Feel free to customize the scripts to suit your specific requirements!