DataScraper 0.1.1

A web scraper to extract URLs, content from websites and convert DOCX to PDF.

Web_content_extractor

Data Scraper

A Python package to extract URLs from websites, extract content into DOCX files, and convert DOCX files to PDF.

Features

• Extracts all href URLs from a specified website.
• Reads URLs from a CSV file and extracts specified HTML tags (h1, h2, p, span) into separate DOCX files.
• Converts DOCX files into PDF format.

Requirements

• Python 3.x
• The following Python packages are required:
  • requests
  • beautifulsoup4
  • python-docx
  • reportlab

Installation or To install the package, use:

pip install DataScraper==0.1.0

1. Clone the repository:

   git clone https://github.com/mukhtarulislam/data_scraper.git
   cd data_scraper
   

2. Create a virtual environment (recommended):

 python -m venv venv 

 source venv/bin/activate  

 On Windows use 
` venv\Scripts\activate`

3.Install the required packages: pip install -r requirements.txt

How to Run main.py

To extract URLs:

  python main.py --action extract_urls --url "http://example.com" --csv_folder ./csv_output

To extract content from URLs in a CSV:

python main.py --action extract_content --csv_folder ./csv_output --docx_folder ./docx_output

To convert DOCX files to PDF:

  python main.py --action convert_to_pdf --docx_folder ./docx_output --pdf_folder ./pdf_output

Usage

Extract URLs to CSV

To extract URLs from a specified website and save them to a CSV file, use the extract_urls_to_csv function:

from data_scraper.url_extractor import extract_urls_to_csv
website_url = "https://example.com"  # Replace with your target website
folder_name = "output"  # Output folder for CSV
extract_urls_to_csv(website_url, folder_name)

Extract Content from URLs

To read URLs from a CSV file and extract content into separate DOCX files, use the extract_content_from_urls function:

 from data_scraper.content_extractor import extract_content_from_urls
 urls = ["https://example.com/page1", "https://example.com/page2"]  # List of URLs
 folder_name = "output"  # Output folder for DOCX files
 extract_content_from_urls(urls, folder_name)

Convert DOCX to PDF

To convert multiple DOCX files to PDF, use the convert_multiple_docx_to_pdf function:

 from data_scraper.docx_to_pdf_converter import DocxToPdfConverter
  converter = DocxToPdfConverter()
  # Define input and output directories
  input_directory = "folder_word_file"
  output_directory = "folder_pdf_file"

  # Convert all .docx files to .pdf
  converter.convert_multiple_docx_to_pdf(input_directory, output_directory)

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Please follow these steps:

1.Fork the repository.

2.Create a new branch: git checkout -b feature/YourFeature

3.Make your changes and commit them: git commit -m "Add some feature"

4.Push to the branch: git push origin feature/YourFeature

5.Create a new Pull Request.

Contact

For questions or suggestions, please reach out to me [e-mail].