Twitter Trending Topics/Hashtags Scraper

This Python script scrapes the trending topics from the website trends24.in and generates hashtags from the trends. It supports filtering for English-only trends and ensures that the generated hashtags fit within Twitter's character limits.

Requirements

• Python 3.x
• Selenium
• BeautifulSoup
• WebDriver Manager
• Regular expressions (for filtering)

You can install the required packages using pip:

pip install selenium beautifulsoup4 webdriver-manager

Usage

1. Run the script:

python T3_Scraper.py

2. The script will:

• Open the trends24.in website.
• Accept the cookie consent (if prompted).
• Navigate to the "Table" section to gather trending topics.
• Extract the trending topics along with additional information such as rank, position, count, and duration.
• Optionally filter only English topics (if ENGLISH_ONLY_REGEX is set to True).
• Create and print hashtags based on the most popular trends while adhering to Twitter's 280-character limit.

Configuration

• HEADLESS_MODE: Set to True to run in headless mode (without opening a browser window).
• ENGLISH_ONLY_REGEX: Set to True to filter for English-only trends based on regex patterns.
• TWEET_MAX_CHARS: The character limit for hashtags (default is 280).

Creating a Standalone Executable

To create a standalone executable from the Python script using PyInstaller:

1. Install PyInstaller:

pip install pyinstaller

2. Navigate to the directory containing your script and run the following command:

pyinstaller --onefile T3_Scraper.py

This will generate a standalone executable in the dist directory. You can run this executable without needing to install Python or any dependencies on the target machine.

Executing the Script

On Linux, ensure that the generated executable is set as executable by running:

chmod +x dist/T3_Scraper dist/run_scraper.sh

Running the Script

You can run the script in two ways:

Option 1: Right-click the run_scraper.sh file and select "Run as a Program" to execute it.

Option 2: Using the Terminal

• Open a terminal window.
• Navigate to the directory where the run_scraper.sh file is located.
• Run the following command:

./run_scraper.sh

This will execute the scraper by launching the executable.

Notes

• Ensure you have the Chrome WebDriver installed. You can use the WebDriver Manager to automatically handle this.
• Adjust the sleep times if necessary based on your internet speed or website load time.