Python

A guide with practical code examples demonstrating find_element and find_elements methods across different locator types.

A detailed tutorial, from the basics and model training to tools like VADER and WordCloud.

This guide will walk you through the process of extracting Google Finance data step by step.

Learn how to use Scrapy in real projects, taking advantage of its features and overcoming its limitations by using tools like Playwright.

Learn to scrape Yahoo Finance with Python and Playwright. Extract current and historical stock data, handle multiple tickers, and automate data collection with Apify.

This hands-on tutorial walks you through building web scrapers using Crawlee for Python. We'll work with both static and dynamic websites, along with practical applications of this versatile library.

A comprehensive guide to using ElementTree APIs and Beautiful Soup. Learn about XML structure, modifying XML files, saving data to CSV, and parsing RSS feeds for practical applications.

The Scrapy Playwright library adds JavaScript rendering capabilities to Scrapy. Learn how to use it here.

Learn how to build a web crawler with popular Python libraries: Requests, BeautifulSoup, and Scrapy.

Learn how to automate web tasks with Selenium and Python. Understand the basics and advanced scraping, with this guide to essential browser automation techniques.

Learn about Object-Oriented Programming (OOP) in Python. This comprehensive guide covers everything from basic concepts to advanced techniques, with practical examples.

Detailed code examples for Python libraries like HTTPX, Beautiful Soup, and Playwright.

Functions make code easier to manage, debug, and understand. Learn how to use them in Python.

Everything you need to know about caching in Python.

How to build a reliable scraper with Python's Beautiful Soup & Requests libraries.