Python Async Web Scraping with httpx and asyncio

🐍📈 Python Web Scraping — This learning path you’ll learn the core Python technologies and skills you need to build your own web scraper. Web scraping is about downloading structured data from the web and processing selected data. #python #learnpython

Running Python checks inside Codex is fine until the main thread fills with uv, ruff, pytest, and ty logs—you lose context and still have to decode what mattered. I wrapped that work in a subagent-backed skill so checks run off-thread and return a short pass / warn / fail report, on top of the uv-first repo instructions I already use. Short write-up with install options (global vs per project): https://lnkd.in/dZub3E5S

📘 Web Scraping with Python ✍️ Ryan Mitchell A great book to learn how to extract data from real-world websites using Python. It covers tools like BeautifulSoup, Scrapy, and Selenium, and explains how modern websites work, including APIs and JavaScript-based content. Perfect for anyone interested in automation, data collection, or building scraping tools. 🔗 Read here: https://lnkd.in/gKeQG8We⁠ #Python #WebScraping #Automation

Learn web scraping with Python and BeautifulSoup. Extract data from websites with ease and inform business decisions. https://lnkd.in/gQAkwAqK #WebScrapingWithPython Read the full article https://lnkd.in/gQAkwAqK

Learn web scraping with Python and BeautifulSoup. Extract data from websites with ease and inform business decisions. https://lnkd.in/gQAkwAqK #WebScrapingWithPython Read the full article https://lnkd.in/gQAkwAqK

Learn web scraping with Python and BeautifulSoup. Extract data from websites with ease and inform business decisions. https://lnkd.in/gQAkwAqK #WebScrapingWithPython Read the full article https://lnkd.in/gQAkwAqK

Learn web scraping with Python and BeautifulSoup. Extract data from websites with ease and inform business decisions. https://lnkd.in/gQAkwAqK #WebScrapingWithPython Read the full article https://lnkd.in/gQAkwAqK

Built a Web Scraper with Pagination using Python. Features: 1.Scrapes quotes and authors from multiple pages 2.Implements pagination to fetch data beyond a single page 3.Allows user to control the number of results 4.Handles invalid inputs and stops when pages end This helped me understand: 1.How pagination works in web scraping 2.Loop-based data collection across pages 3.Structuring scraped data for better readability.Cognifyz Technologies

🚀 Exploring Web Scraping with Python These days, I’ve been working on web scraping using Python and trying out different scripts and tools to understand how data extraction works in real-world applications. Some of the tools I explored: 🐍 Python Scripts 🌐 BeautifulSoup 🎭 Playwright 🕷️ Scrapy ⚙️ Apify Among all of them, I was really impressed with the Scrapy framework. It feels powerful, structured, and beginner-friendly once you understand the basics. The built-in features like request handling, pagination, and data pipelines make scraping much more efficient. Still learning and improving step by step, but it’s exciting to see how easily we can collect and structure web data using Python. #Python #WebScraping #Scrapy #DataEngineering #LearningJourney

🐍 Python Solving Real Problems in the Enterprise Python is everywhere, not just because it’s easy, but because it solves real business problems efficiently. For example, in one project, a company had hundreds of CSV files coming in daily from multiple vendors. Manually processing them caused delays, errors, and frustrated teams. Using Python: Automated data validation Merged multiple formats into a single database Generated actionable reports automatically What used to take hours, now runs in minutes, and the team can focus on insights, not tedious work. Python is not just a language; it’s a tool for making businesses smarter and faster. How have you used Python to solve real-world problems? 👇 #Python #Automation #DataEngineering #SoftwareEngineering #DeveloperStories