Python

Google Maps is a beautiful tool that allows anyone to travel the world with their eyes and see many fascinating things. If you’re a nomad, it’s your go-to companion in finding the next destination. But if you’re a data collection enthusiast, you should be excited about the potential data that Google Maps holds. In this blog post, we’ll discuss the benefits of scraping Google Maps and provide a comprehensive guide on how to do it using Python and our reside...

GitHub is one of the most significant sources of technical knowledge on the internet, especially for developers building intricate applications. Follow this guide to learn how to extract this valuable data and effortlessly follow the latest tech trends.

Python’s Requests library is one of the most powerful web tools. Find out what it is, how to use it, and how to make the most out of it with Smartproxy proxies.

Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and o...

Standards are a means to clear and define communication between people and things in the world. For example, the human language, USB sockets on computers, or the fact that you must add cereal before pouring milk. When it comes to computer applications and systems, one standard stands out above the rest as the most popular choice for developers – XML (eXtensible Markup Language). In this article, we’ll explore how you can parse data from XML files using Pyt...

In this article, we’ll explore the different kinds of errors and exceptions, what causes them, and provide solutions to solving them. No more headaches and cursing your code until it gets scared and starts working – master the language of Python to understand precisely what it wants from you.

Since the late 2000s, scraping has become the go-to solution for businesses and individuals seeking to extract public data from the web. Anyone not scraping public data nowadays is at an obvious disadvantage. One common challenge of web scraping is collecting data from pages with delayed data loading. Here’s a typical scenario: you’re trying to scrape a website, eagerly waiting for the results, only to find no data available. This often happens due to dyna...

This one’s gonna be serious. But not scary. We know how frightening the word “programming” could be for a newbie or a person with a little technical background. But hey, don’t worry, we’ll make your trip in Python smooth and pleasant. Deal? Then, let’s go! Python is widely known for its simple syntax. On the other hand, when learning Python for the first time or coming to Python after having worked with other programming languages, you may face some diffic...

A YouTube comment scraper is a tool that extracts comments from a selected YouTube video. Comments are an awesome resource for researching your own or your competitor’s brand, which can be used to your advantage. While YouTube offers a free Data API, it’s limited in its capabilities. By following this YouTube comment scraper tutorial, you will scrape YouTube comments with a simple code and get a neat result.

Social media scraping can look like a tough nut to crack due to strong anti-bot systems. Gladly, it’s not a rule, at least in Telegram’s case. This platform supports various Telegram bot automation, making the scraping process easier.  There’re a lot of ready-built solutions for that, but you can easily make one yourself with a bit of coding and the Telegram API. Yes, this platform even has its own API! Dope, innit?

What do you usually do when a specific question or product pops into your mind, and you need a quick answer? You probably type it on Google and select one of the top results. Looking at this from a business perspective, you probably want to know how Google algorithms picked those top-ranking pages since being one of them attracts more traffic. The result pages of the largest search engine in the world are an excellent source for competitors’ and market res...

Keepin’ it short and sweet: data parsing is a process of computer software converting unstructured and often unreadable data into structured and readable format. Parsing offers a lot of benefits, some of which include work optimization, saving time, reducing costs, and many more; in addition, you can use parsed data in plenty of different situations. Even tho that sounds epic, parsing itself can be quite complicated. But hold on, buddy, and get ready to ex...

So, you’ve found yourself in need of some images, but looking for them individually doesn’t seem all that exciting? Especially if you are doing it for a machine learning project. Fret not; web scraping comes in to save the day as it allows you to collect massive amounts of data in a fraction of the time it would take you to do it manually.  There are quite a few tutorials out there, but in this one, we’ll show you how to get the images you need from a stat...

Psst! Come closer to hear a secret: collecting publicly accessible data can skyrocket your business to the next level. If you unlock and gather valuable info, you can easily monitor brand reputation, compare prices, test links, analyze competitors, and much more. While the benefits sound legit, collecting data manually can quickly become a pain in the neck. But what if we told you that it’s possible to enjoy all the advantages without any need to sweat? Wi...

The internet has changed quite a bit, hasn't it? Today, almost every popular website you go to is tailored to your specific needs. The goal is to make the user experience as good as possible. It sounds amazing for the end-user, but for someone who’s trying to web scrape dynamic content, it can prove to be quite the challenge. That doesn’t mean it’s not doable!  In this blog post, we’ll go through a step-by-step guide on how to web scrape dynamic content wi...

Whenever you want to find an answer to a tricky question or dig out some advice, who (or what) do you approach first? Let’s be honest, it’s Google. Market research, competitor analysis, latest news, exclusive deals on designer clothing – whichever you’re after, 9 times out of 10, you’ll google it. Being the richest encyclopedia in the world, Google is also the most protective of all search engines, so extracting data from it can be pretty hellish. On the b...

Selenium is the perfect web development and testing tool. It lets you use every major browser and access any site or service you want to test. This versatility makes Selenium indispensable for more than just testing. For example, you can use Selenium with Python to scrape websites. Of course, you will need a proxy service to not get blocked. This is why we are doing this short introduction about how a Selenium proxy network can help you.

Since the late 2000s, scraping has become the go-to solution for businesses and individuals seeking to extract public data from the web. Anyone not scraping public data nowadays is at an obvious disadvantage. One common challenge of web scraping is collecting data from pages with delayed data loading. Here’s a typical scenario: you’re trying to scrape a website, eagerly waiting for the results, only to find no data available. This often happens due to dyna...