Twitter Scraper

This project is a Twitter scraper built using Selenium. It logs into Twitter, searches for tweets based on a specified query, and extracts tweets with their metadata. The extracted data is saved in a JSON file.

Table of Contents

• Setup
• Usage
• Files
• Contributing
• License

Setup

1. Clone the repository:

   git clone https://github.com/BenzrakMarouan/twitter_scraper.git
   cd twitter_scraper

2. Install the required dependencies:

   pip install -r requirements.txt

3. Configure your credentials and settings:

   • Open config.py and add your Twitter email, username, and password:

     EMAIL = "[email protected]"
     USERNAME = "your_username"
     PASSWORD = "your_password"
     COOKIES_FILE = "twitter_cookies.pkl"
     JSON_FILE = "tweets_data.json"
     CHROMEDRIVER_PATH = 'chromedriver-win64/chromedriver.exe'

4. Download ChromeDriver:

   • Ensure you have the correct version of ChromeDriver matching your Chrome browser version.
   • Place the ChromeDriver executable in the specified path (chromedriver-win64/chromedriver.exe).

Usage

To run the Twitter scraper, use the following command:

python main.py "your_search_query" 10 "latest"

Replace "your_search_query", 10, and "latest" with your desired search query, the number of posts to fetch, and the search type (latest or top).

Files

config.py: Configuration file for storing credentials and paths. setup.py: Contains the setup for Selenium WebDriver. auth.py: Handles authentication and cookie management. scraper.py: Contains the functions to search Twitter and extract tweets. utils.py: Utility functions for loading and saving data. main.py: Main script to run the Twitter scraper.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request or open an issue to discuss changes.

License

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