Price scraping is the automated collection of publicly displayed product prices and related context from websites. A reliable price scraper does not store a number alone: it records the product, seller, currency, availability, promotion state, location or store context, source URL, and observation time. Price monitoring then compares valid observations over time and reports meaningful changes.
Screen scraping extracts data from what’s visually rendered on a screen rather than from the underlying source code. Web scraping sends an HTTP request and parses the raw HTML or JSON that comes back. Screen scraping goes further: it loads the page in a browser, lets everything render (JavaScript, AJAX calls, dynamic components, all of it), and then pulls data from the result. What you see on screen is what it collects.
Businesses often use data mining as a way to predict customer behavior, optimize marketing campaigns, and identify any bottlenecks. They generate massive amounts of data through daily transactions, customer experience interactions, and operational processes. However, only about 12% of this data is properly analyzed to create meaningful insights. Data mining closes this gap through algorithms and statistical methods that find the hidden patterns in larger datasets. Through a combination of machine learning, AI, and statistical analysis, businesses can turn the raw data into business intelligence. This article will explain data mining’s development, core methodologies, and practical applications. You will learn about essential tools and find ways to measure your mining projects’ success.
Finding the best language for web scraping is a challenging task as there are many languages out there to choose from. Each language has its own level of difficulty, from Python to JavaScript to Ruby and even just Java. Picking the best language for web scraping can make or break your project’s success. As such, we will be exploring some key factors you should consider for what the best language for web scraping might be for you.
Secure Shell, or SSH, is a protocol that lets you securely connect to a remote device like a Raspberry Pi or Ubuntu server over a network. By using SSH, you can access the device’s terminal from your own computer. This is ideal for those who don’t have physical access to a device or want to manage it remotely.
Choosing between a dedicated IP vs shared IP may seem straightforward but there are a few differences in how they work, what each is used for, and what makes them unique. For individuals or businesses, choosing between a dedicated IP vs shared IP comes with knowing what they are, when and where a dedicated IP is needed vs when a shared IP is useful, and keeping important factors in mind before making the decision.
Ruby web scraping requests a Uniform Resource Identifier (URI) with Ruby's Hypertext Transfer Protocol (HTTP) client, `Net::HTTP`. Nokogiri parses returned Hypertext Markup Language (HTML) and searches it with Cascading Style Sheets (CSS) selectors. Use Selenium only when JavaScript (JS) creates required content, then validate fields before saving comma-separated values (CSV).
Learning to parse XML in Python is a good skill to have when working with structured data. XML is used for data storage and transfer because of its flexibility and readability. It comes in handy for extracting data from a website, processing configuration files, and analyzing large datasets. In this article, we will explain what XML is, understand the structure of it, and explore five different ways to parse XML in Python. With this guide, you will find more options to help you with your next project.
Passive OS fingerprinting estimates the network stack behind a connection by observing normal packet characteristics instead of actively probing the device. It can help a network operator classify traffic, diagnose unexpected intermediaries, or compare a connection with other signals. It cannot reliably reveal an exact OS version, identify a unique person, or prove that two matching connections came from the same device.
Python can make the same HTTP requests as a cURL command in three practical ways: translate the command into the Requests library, call libcurl through PycURL, or execute the installed curl program with subprocess.run(). The best method depends on whether you want a Python-native API, libcurl features, or exact compatibility with an existing cURL command.
HTTP/3 will not make proxies obsolete. HTTP/3 runs over QUIC, which uses UDP instead of TCP, but that does not prevent proxying. SOCKS5 supports UDP relay through the UDP ASSOCIATE command, and the HTTP/3 standard recommends falling back to TCP-based HTTP when a QUIC connection cannot be established.
Yazan Sharawi on Oct 1, 2026
