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project that i have created that scrape articles from wekepedia
🔍 Learn Web Scraping from Wikipedia Using Python! (Beginner Friendly Tutorial) 🕸️
📌 Fiverr Gig: https://www.fiverr.com/s/o8ylgpg
Welcome to this detailed, step-by-step tutorial on how to perform web scraping from Wikipedia using Python! If you’re a student, data science enthusiast, or someone curious about extracting structured data from websites—this video is for you!
In this video, you'll learn:
✅ What is web scraping and why it’s useful
✅ How to target Wikipedia articles using BeautifulSoup
✅ How to parse data, extract paragraphs, headings, and tables
✅ How to export the scraped content into formats like CSV, Excel, and Word
✅ Real-world applications of web scraping
✅ BONUS: How to automate scraping for multiple Wikipedia pages
📚 Chapters:
00:00 - Introduction
01:20 - What is Web Scraping?
03:10 - Why Wikipedia is Great for Scraping
05:00 - Setting Up Python Environment
06:45 - Installing Required Libraries
08:30 - Writing the Web Scraper
12:50 - Extracting Titles and Paragraphs
15:00 - Handling Tables and Images
18:20 - Exporting Data (CSV, Excel, Word)
21:00 - Automating Multi-page Scraping
24:30 - Final Project Summary
26:00 - Fiverr Gig Info & How I Can Help You
🧰 Tools & Libraries Used:
Python 3.x
BeautifulSoup (bs4)
Requests
Pandas
python-docx (for exporting to Word)
Optional: Streamlit for GUI
📈 Why Web Scraping Skills Matter
In today’s data-driven world, having the ability to collect and organize web data is a powerful skill. Whether you're:
Doing academic research
Building datasets for machine learning
Extracting stock market data or product listings
Generating leads
Or creating custom analytics dashboards
Web scraping is a must-have skill in your toolkit!
🔧 Project Source Code
You can access the complete source code by commenting below or messaging me through Fiverr. I’ll be happy to share the script or even customize it for your specific needs.
🙋♂️ Need a Custom Web Scraping Solution?
🚀 I provide affordable, fast, and professional web scraping services on Fiverr!
Whether you need:
Product data scraped from eCommerce websites
Articles extracted from news sites or Wikipedia
Excel/Word reports generated
Automation for daily data extraction tasks
Data collection for AI or ML models
📌 Check out my gig and let’s work together:
👉 https://www.fiverr.com/s/o8ylgpg
✅ 100% Satisfaction
✅ Quick Delivery
✅ Python + BeautifulSoup + Selenium Expertise
✅ Unlimited Revisions on Custom Orders
📣 Why Choose Me?
My name is Shahzaib, and I’ve worked on scraping projects ranging from small research tasks to automated, large-scale scrapers. I always prioritize accuracy, speed, and client satisfaction. Whether it’s a one-time job or a long-term scraper, I’ve got you covered.
📞 Get In Touch:
For custom queries, collaboration, or if you have any doubts related to scraping, feel free to:
Drop a comment below
Contact me on Fiverr: https://www.fiverr.com/s/o8ylgpg
🔔 Don’t forget to LIKE, SUBSCRIBE, and SHARE if you found this tutorial helpful!
#webscraping #python #beautifulsoup #wikipedia #automation #datascience #fiverr #scrapingproject #pythonproject #shahzaibwebscraper
Видео project that i have created that scrape articles from wekepedia канала T-J vibes
📌 Fiverr Gig: https://www.fiverr.com/s/o8ylgpg
Welcome to this detailed, step-by-step tutorial on how to perform web scraping from Wikipedia using Python! If you’re a student, data science enthusiast, or someone curious about extracting structured data from websites—this video is for you!
In this video, you'll learn:
✅ What is web scraping and why it’s useful
✅ How to target Wikipedia articles using BeautifulSoup
✅ How to parse data, extract paragraphs, headings, and tables
✅ How to export the scraped content into formats like CSV, Excel, and Word
✅ Real-world applications of web scraping
✅ BONUS: How to automate scraping for multiple Wikipedia pages
📚 Chapters:
00:00 - Introduction
01:20 - What is Web Scraping?
03:10 - Why Wikipedia is Great for Scraping
05:00 - Setting Up Python Environment
06:45 - Installing Required Libraries
08:30 - Writing the Web Scraper
12:50 - Extracting Titles and Paragraphs
15:00 - Handling Tables and Images
18:20 - Exporting Data (CSV, Excel, Word)
21:00 - Automating Multi-page Scraping
24:30 - Final Project Summary
26:00 - Fiverr Gig Info & How I Can Help You
🧰 Tools & Libraries Used:
Python 3.x
BeautifulSoup (bs4)
Requests
Pandas
python-docx (for exporting to Word)
Optional: Streamlit for GUI
📈 Why Web Scraping Skills Matter
In today’s data-driven world, having the ability to collect and organize web data is a powerful skill. Whether you're:
Doing academic research
Building datasets for machine learning
Extracting stock market data or product listings
Generating leads
Or creating custom analytics dashboards
Web scraping is a must-have skill in your toolkit!
🔧 Project Source Code
You can access the complete source code by commenting below or messaging me through Fiverr. I’ll be happy to share the script or even customize it for your specific needs.
🙋♂️ Need a Custom Web Scraping Solution?
🚀 I provide affordable, fast, and professional web scraping services on Fiverr!
Whether you need:
Product data scraped from eCommerce websites
Articles extracted from news sites or Wikipedia
Excel/Word reports generated
Automation for daily data extraction tasks
Data collection for AI or ML models
📌 Check out my gig and let’s work together:
👉 https://www.fiverr.com/s/o8ylgpg
✅ 100% Satisfaction
✅ Quick Delivery
✅ Python + BeautifulSoup + Selenium Expertise
✅ Unlimited Revisions on Custom Orders
📣 Why Choose Me?
My name is Shahzaib, and I’ve worked on scraping projects ranging from small research tasks to automated, large-scale scrapers. I always prioritize accuracy, speed, and client satisfaction. Whether it’s a one-time job or a long-term scraper, I’ve got you covered.
📞 Get In Touch:
For custom queries, collaboration, or if you have any doubts related to scraping, feel free to:
Drop a comment below
Contact me on Fiverr: https://www.fiverr.com/s/o8ylgpg
🔔 Don’t forget to LIKE, SUBSCRIBE, and SHARE if you found this tutorial helpful!
#webscraping #python #beautifulsoup #wikipedia #automation #datascience #fiverr #scrapingproject #pythonproject #shahzaibwebscraper
Видео project that i have created that scrape articles from wekepedia канала T-J vibes
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4 августа 2025 г. 22:20:43
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