Welcome back to "Code Against the Clock!" blog series where I’ll reveal how I turned my most boring tasks into streamlined, time-saving machines. I’ll share the exact steps I took to automate these chores and the cool tricks I discovered along the way. Ready to see how you can save time and make life a bit more exciting? Let’s dive in and get your tasks on autopilot!
My Unexpected Online Hustle
Let’s rewind to my college days. I was on a quest to find ways to earn some extra cash online while learning something new. During my research, I stumbled upon a service called Sbitly. The concept was intriguing: it’s a URL shortening platform where you paste a long link, and it gives you a shortened version. The twist? When people click on these shortened links, they first see an ad before being redirected to the original site. You get paid for each click, and it seemed like a neat way to earn money.
I thought, "Why not automate this process?" With a bit of Python and Selenium magic, I set out to streamline this task and see how far I could take it.
The Automation Project:
Here’s a peek into how I tackled this project:
1. Tools of the Trade:
- Python: Chosen for its simplicity and versatility. It’s a powerhouse for scripting and automation.
- Selenium: The go-to tool for web automation. It allows you to control a web browser programmatically, making it perfect for interacting with web interfaces.
2. The Plan:
- Scraping Tech Blogs: I wanted to gather a list of tech blog URLs to shorten. Sites like House of Bots, Fossbytes, and The Hacker News were my targets. For this, I used Python’s BeautifulSoup library to scrape these sites for interesting blog links.
- Shortening URLs: Using Selenium, I automated the process of visiting Sbitly, pasting the URLs, and retrieving shortened links.
- Sharing on Facebook: Finally, I needed to share these shortened URLs on Facebook and in Facebook groups. Again, Selenium was used to automate the posting process, ensuring that all the links were shared efficiently.
Note: As of now, the Sbitly website is no longer active. The automation techniques and code examples shared here are based on my experience with the platform while it was operational.
If you want code feel free ping me :) and watch a demo video here.
Your Turn!
Have you ever automated a task using code? Share your experiences and tips in the comments below! What tasks do you wish you could automate? Let's discuss!
Thanks for joining me on this automation journey. Don’t forget to subscribe to my blog for more tips and updates. Happy coding!
Finally, if the article was helpful, please clap ?and follow, thank you!
以上是Code Against the Clock: From Clicks to Cash的详细内容。更多信息请关注PHP中文网其他相关文章!

Python在自动化、脚本编写和任务管理中表现出色。1)自动化:通过标准库如os、shutil实现文件备份。2)脚本编写:使用psutil库监控系统资源。3)任务管理:利用schedule库调度任务。Python的易用性和丰富库支持使其在这些领域中成为首选工具。

要在有限的时间内最大化学习Python的效率,可以使用Python的datetime、time和schedule模块。1.datetime模块用于记录和规划学习时间。2.time模块帮助设置学习和休息时间。3.schedule模块自动化安排每周学习任务。

Python在游戏和GUI开发中表现出色。1)游戏开发使用Pygame,提供绘图、音频等功能,适合创建2D游戏。2)GUI开发可选择Tkinter或PyQt,Tkinter简单易用,PyQt功能丰富,适合专业开发。

Python适合数据科学、Web开发和自动化任务,而C 适用于系统编程、游戏开发和嵌入式系统。 Python以简洁和强大的生态系统着称,C 则以高性能和底层控制能力闻名。

2小时内可以学会Python的基本编程概念和技能。1.学习变量和数据类型,2.掌握控制流(条件语句和循环),3.理解函数的定义和使用,4.通过简单示例和代码片段快速上手Python编程。

Python在web开发、数据科学、机器学习、自动化和脚本编写等领域有广泛应用。1)在web开发中,Django和Flask框架简化了开发过程。2)数据科学和机器学习领域,NumPy、Pandas、Scikit-learn和TensorFlow库提供了强大支持。3)自动化和脚本编写方面,Python适用于自动化测试和系统管理等任务。

两小时内可以学到Python的基础知识。1.学习变量和数据类型,2.掌握控制结构如if语句和循环,3.了解函数的定义和使用。这些将帮助你开始编写简单的Python程序。

如何在10小时内教计算机小白编程基础?如果你只有10个小时来教计算机小白一些编程知识,你会选择教些什么�...


热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

AI Hentai Generator
免费生成ai无尽的。

热门文章

热工具

Atom编辑器mac版下载
最流行的的开源编辑器

禅工作室 13.0.1
功能强大的PHP集成开发环境

SublimeText3汉化版
中文版,非常好用

PhpStorm Mac 版本
最新(2018.2.1 )专业的PHP集成开发工具

SublimeText3 英文版
推荐:为Win版本,支持代码提示!