Скачать или смотреть I scraped 4K items using requests and bs4 (Paid Project Story)

🎓 Check out my FREE web scraping course 👉 https://codematetv.com/courses/web-sc...

In this video, I walk you through how I scraped data for 4,000 products using Python without any paid proxies! 🌐🔍

The script utilizes popular libraries like requests for making web requests, BeautifulSoup for parsing HTML, and json for saving data. With randomized user agents 🖥️, a sleep mechanism 💤, and headers, I avoided detection while extracting key product info like category, name, price, description, images, and features. 📦📊

💡 The data is saved in an easy-to-access JSON file format. Watch how it all works and get tips on web scraping without proxies! 👀

🔗 Check out the code on GitHub: https://github.com/itishosseinian/pai...

🌐 Target website: https://www.construct-online.ch/

🚀 Join the Telegram group where I found this project, and ask your questions about web scraping:
👉 https://t.me/webscrapingpy

💼 Watch my Upwork paid project playlist to see more stories:👉    • Earn Money with Web Scraping: Freelancing ...  


00:00 - Intro and preparation
01:24 - How to stay undetected without using proxy
05:58 - How to use a parser for html
12:25 - How to grab product categories in html bs4
18:46 - How to take product code using bs4
22:07 - How to extract price and details. works for all e commerce sites
30:25 - How to scrape tables
35:10 - How to dynamic our scraper

#Webscraping #Paidprojects #Freelancing #Python #automation