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Articles tagged with #web-scraping
1. Basic HTTP GET Request 🌐 Boilerplate Code: import requests response = requests.get('https://example.com') print(response.content) Use Case: Retrieve data from a website via a simple GET request. Goal: Use requests to fetch content from a webpag...
1. Setting Up WebDriver (ChromeDriver, GeckoDriver) 🚗 Boilerplate Code: from selenium import webdriver Use Case: Set up WebDriver for different browsers (Chrome, Firefox, etc.). 🚗 Goal: Launch a web browser that you can automate. 🎯 Sample Code: #...
1. Creating a Scrapy Project 📁 Boilerplate Code: scrapy startproject myproject Use Case: Initialize a new Scrapy project. 📁 Goal: Set up the basic structure for your Scrapy project. 🎯 Sample Command: scrapy startproject myproject Before Example:...
1. Creating a Soup Object (BeautifulSoup) 🍜 Boilerplate Code: from bs4 import BeautifulSoup Use Case: Create a soup object to parse HTML or XML data. 🍜 Goal: Load and process an HTML or XML document for web scraping. 🎯 Sample Code: # Load HTML da...
To determine if a website is easy or hard to scrape, you can look at its HTML structure using the "Inspect" tool in your browser. Here are some key indicators: 1. Static vs. Dynamic Page 👿 EASY: simple, static HTML: <!DOCTYPE html> <html> <head> ...