/web-scraping-with-selenium

Primary LanguageJupyter Notebook

Website Data Extraction

This project shows the process of extracting data from a website using Selenium and Jupyter Notebook.

Requirements

  • Python 3.x
  • Jupyter Notebook
  • Selenium

Installation

  1. Download or copy the project:

  2. Install the necessary dependencies using anaconda or pip:

  3. WebDriver driver and install it on your system. WebDriver should be suitable for your browser and operating system.

Usage

  1. Launch Jupyter Notebook and go to the project directory:

  2. From the Jupyter interface that opens `web_scraping.select the 'ipynb' file.

  3. On Jupyter Notebook, perform the process of extracting data from the website by running code cells. Explanations should be included next to the relevant code lines.

  4. When data has been successfully pulled from the website, take the appropriate actions to analyze or record the results obtained.

Contributing

We are waiting for your contributions! If you encounter any problems or have suggestions for improvements, please open an "issue" or send a "pull request".

License

This project is licensed with the MIT License.

Resources