{"repo":"ntthanh2603/crawl-analysis-data-facebook","free":true,"listed":false,"github":"https://github.com/ntthanh2603/crawl-analysis-data-facebook","clone":"git clone https://github.com/ntthanh2603/crawl-analysis-data-facebook.git","description":"📊 Project: Analysis & Data Crawling for Two Football Pages – Manchester United & Liverpool FC ⚽🔍","language":null,"stars":30,"topics":["ana","crawler","facebook-tools","jupyter-notebook","numpy","pandas","selenium"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"📊 Data Collection and Analysis on Liverpool FC's Facebook Page ⚽ Student: Nguyen Tuan Thanh Student ID: 22022624 🎓 --- 🎯 Objectives: - Collect data 📅 from posts on Liverpool FC 's official Facebook page during the period from 01/11/2023 to 01/12/2023 . - Analyze the collected data 🔍 to explore trends and insights related to Liverpool FC. --- 🧑‍💻 Collected Data: Data was collected from Liverpool FC's official Facebook page using the facebook scraper library in Python. The information gathered includes: - Post ID 🆔 - Post Title 📝 - Post Content ✍️ - Post Date 📅 - Number of Likes 👍 - Reactions ❤️😆😢😮😡 - Number of Shares 🔁 - Number of Comments 💬 - Comment Content 🗨️ --- 📊 Data Analysis: The collected data will be analyzed using popular data analysis tools and techniques, including: - Libraries used : Pandas , Matplotlib 📚📊 - Descriptive Statistics 📊 - Quantitative Data Analysis 💡 - Qualitative Data Analysis 🧠 Details of the analysis process can be found in the following documents: report.pdf or report.docx . --- 📬 Contact: If you have any feedback or questions, feel free to message me on Facebook: https://www.facebook.com/ntthanh2603 💬 --- Thank you for reading and taking interest in my project! 🙏🎉","default_branch":null,"files":null,"tree":[],"storefront":"/r/ntthanh2603","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ntthanh2603/crawl-analysis-data-facebook/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}