Twitter Scraper

This project is a Python script that scrapes Twitter accounts for mentions of a specific stock symbol. It uses Selenium and BeautifulSoup libraries to extract data from the HTML content of the Twitter profiles.

Requirements

• Python (version 3.6 or higher)
• Selenium library
• webdriver-manager library
• BeautifulSoup library
• schedule library

Installation

1. Clone the repository:

• git clone https://github.com/your-username/twitter-scraper.git

2. Install the required Python libraries

3. Set up environment variables:

• Create a .env file in the project directory.

• Add the following lines to the .env file:

  USERNAME=your_twitter_username
  PASSWORD=your_twitter_password
  

Usage

1. Run the script:

• python script.py

2. Enter the Twitter account URLs:

• The script will prompt you to enter 10 Twitter account URLs.
• Make sure to provide valid URLs in the format https://twitter.com/username.

3. Enter the stock symbol:

• The script will prompt you to enter the stock symbol to search for.
• Enter the symbol starting with a "$" sign (e.g., $TSLA).

4. Enter the time interval:

• The script will prompt you to enter the time interval in minutes between scraping sessions.
• Enter an integer value representing the time interval.

5. View the results:

• The script will display the initial count of mentions of the stock symbol in the profiles.
• It will then start scraping the profiles periodically according to the specified time interval.
• The updated count of mentions will be displayed after each scraping session.