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Старый 31.07.2025, 22:54
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По умолчанию Web Scraping In Python: Master Requests Scrapy Selenium & Ai


Web Scraping In Python: Master Requests Scrapy Selenium & Ai
Published 7/2025
Created by Shah Zeb
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 5h 38m ) | Size: 3.33 GB

Learn web scraping with Python, Requests, Scrapy, Selenium, and AI for real-world data extraction.
What you'll learn
Understand the differences between Requests, Scrapy, and Selenium-and when to use each.
Extract data using XPath, CSS selectors, and hidden JSON endpoints from real websites.
Build robust scraping bots with pagination, headers, user-agent spoofing, and IP rotation.
Scrape data from JavaScript-heavy websites using Selenium and bypass login/captcha walls.
Use Scrapy pipelines to store scraped data into structured formats like CSV, JSON, and PostgreSQL.
Leverage AI tools like ChatGPT and local LLMs to auto-generate scrapers and analyze HTML programmatically.
Requirements
Basic knowledge of Python (variables, loops, functions) is helpful
No prior experience with web scraping is required - all concepts are explained from scratch
Description
Unlock the full power of web scraping in this comprehensive, practical course-covering everything from beginner-friendly basics to professional-level techniques. Designed for anyone interested in Python web scraping, automation, and data extraction, you'll quickly move from understanding how the internet works to building sophisticated scrapers ready for real-world use.Begin by mastering core scraping fundamentals: the OSI model, HTTP and HTTPS, TLS security, and using browser DevTools to analyze network traffic. Dive deep into Python's Requests library, confidently extracting structured data using XPath, handling hidden JSON endpoints, and elegantly bypassing anti-scraping defenses with headers and rotating IPs.Advance your skills by exploring powerful tools like Scrapy, Python's industry-standard framework for large-scale crawling and data extraction projects. You'll create spiders, pipelines, and integrate PostgreSQL to manage massive datasets efficiently. Master dynamic JavaScript-heavy pages effortlessly with Selenium automation-bypassing login walls, solving CAPTCHAs, and seamlessly automating interactive data extraction tasks.Explore cutting-edge AI-enhanced scraping, leveraging tools like ChatGPT to rapidly build intelligent scrapers, and learn how to use local LLMs (like Ollama) to analyze HTML and automate data scraping intelligently-taking your automation workflows to the next level.Through hands-on, real-world projects carefully selected from high-demand industries, you'll discover advanced web scraping strategies while navigating challenging anti-bot measures ethically and effectively. With just basic Python skills required, you'll rapidly become proficient in extracting valuable data at scale.Ready to master modern web scraping, scrapy, selenium automation, and harness AI to transform the web into your personal dataset? Enroll today and take the first step toward becoming a highly skilled, data-driven professional.
Who this course is for
Beginner to intermediate Python developers curious about web scraping and automation
Data analysts or freelancers looking to extract real-world data from websites
Aspiring automation developers looking to build scraping bots
Anyone tired of copy-pasting data and ready to automate it with Python
AI enthusiasts interested in using LLMs to assist with scraping tasks

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