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Yellow Page Scraper Italy

A GUI scraper for the website Pagine Gialle, designed to extract information based on user input from a CSV file. The scraper utilizes a simple PyQt5 interface to facilitate the selection of an input CSV file (semicolon-separated) with two columns: job profession and state (or zip code of the state). It then generates a CSV file (semicolon-separated) containing all possible matches for each row in the input file.

Features

The yellow-page-scraper-italy tool extracts the following information from each match:

  • RAGIONE SOCIALE (Business Name)
  • INDIRIZZO (Address)
  • PROVINCIA (Province)
  • COMUNE (City)
  • CAP (Postal Code)
  • TELEFONO (Phone Number)
  • WHATSAPP (WhatsApp Number)
  • EMAIL (Email Address)
  • SITO INTERNET (Website)
  • DETAILS LINK (Link to detailed information)

Requirements

To run the yellow-page-scraper-italy, ensure that you have the following requirements installed:

  • Python 3.x

You can install the required packages by running the following command:

pip install -r req.txt

Getting Started

  1. Clone the repository to your local machine.
  2. Activate the virtual environment by running the following command:
source bin/activate
  1. Launch the scraper GUI by executing the following command:
python scraper.py
  1. Use the GUI to select the input CSV file containing the job professions and states.

After selecting the file, the scraper will generate a CSV file with the extracted information.

Examples csv

  1. input => in.csv , output => in_result.csv
  2. input => EDILI Milano.csv, output => EDILI Milano_result.csv

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License. Feel free to modify and customize the README to better suit your project.