Justinas Tamasevicius

Target is one of the largest retailers in the US, offering a wide range of products, from electronics to groceries. Scraping product data can help you track prices, monitor trends, or build comparison tools to enhance your purchasing decisions. This guide outlines the process, provides suggestions, and provides instructions on how to extract data, such as prices and ratings, efficiently.

Web scraping is the process of automating page requests, parsing the HTML, and extracting structured data from public websites. While Python often gets all the attention, Java is a serious contender for professional web scraping because it's reliable, fast, and built for scale. Its mature ecosystem with libraries like Jsoup, Selenium, Playwright, and HttpClient gives you the control and performance you need for large-scale web scraping projects.

You've mastered static HTML scraping, but now you're staring at a site where Requests + Beautiful Soup returns nothing but an empty <div> and <script> tags. Welcome to JavaScript-rendered content, where you get the material after the initial request. In this guide, we'll tackle dynamic sites using Python and Selenium (plus a Beautiful Soup alternative).

Zillow hosts millions of real estate listings across the U.S., but manually collecting that data is slow and error-prone. This guide walks you through how to scrape Zillow data effectively and ethically. You’ll learn what kind of data is accessible, which tools to use, and how to handle anti-scraping challenges to keep your pipeline running smoothly.

Yahoo Finance is one of the most comprehensive free financial data platforms available, offering real-time stock prices, historical data, and company fundamentals. However, scraping such a platform presents challenges like sophisticated anti-bot measures, JavaScript-heavy rendering, and dynamic content loading. This guide offers practical, tested methods for efficiently extracting Yahoo Finance data while navigating these obstacles.

Production RAG fails when it relies on static knowledge that goes stale. This guide shows you how to build RAG systems that scrape live web data, integrate with LlamaIndex, and actually survive production. You'll learn to architect resilient scraping pipelines, optimize vector storage for millions of documents, and deploy systems that deliver real-time intelligence at scale.

Requests, HTTPX, and AIOHTTP all make HTTP requests, but they differ in how they handle concurrency. Requests is synchronous and has been the default since 2011. HTTPX gives you both sync and async with HTTP/2 support. AIOHTTP is async-only and faster at high concurrency, but has a steeper learning curve. The right choice depends on your async model, whether you need WebSockets or HTTP/2, and how much code you're willing to rewrite. This article covers architecture, performance data, proxy setup, migration paths, and common mistakes in production scraping setups.

Cloudflare’s Error 1010 can be a real headache for website owners and visitors. It usually appears when its security detects something unusual or automated, even if it’s a genuine request. In this article, we'll outline what the Error 1010 code means, why it occurs, how to identify it, and the best solutions to fix and prevent it.

Web scraping is one of the most effective ways to collect publicly available data at scale, but without the right infrastructure, it often leads to a familiar roadblock: the “Your IP Address Has Been Banned” error. This message means a website has blocked your IP address after detecting automated or unusually frequent requests. Fortunately, IP bans are both fixable and preventable. In this guide, we explain what causes IP bans during web scraping, how to recover when one happens, and the best practices for keeping your scraping operations running smoothly without interruption.

eBay is the second-largest online marketplace in the US, and unlike traditional eCommerce platforms, it's an open marketplace where people auction cars, sell rare collectibles, and seal personal deals directly with buyers. That makes it one of the richest targets for web scraping and data extraction – you get access to auction bids, final sale prices, seller ratings, and historical records of what buyers actually paid, not just listed prices. In this guide, you'll learn how to scrape eBay with Python, covering the tools, methods, and best practices to extract data cleanly and at scale without getting blocked.

Playwright MCP is one of the most accessible ways to get started if you need data from a website but do not want to write scraping code. It enables an AI application or agent to control a browser, interact with web pages, and extract content just like a regular user would. In this article, you’ll learn what Playwright MCP is, how to set it up, and how to use it to scrape websites with natural language.

Axios POST headers are one of the most important items for JavaScript developers working with HTTP. Configure them incorrectly, and your requests fail, authentication breaks, or data gets rejected. The good news? Axios gives developers several ways to manage headers, including inline on individual requests, globally via defaults, through reusable instances, and dynamically with interceptors. This guide explores how to use Axios to set headers across all request types, covering POST, GET, PUT, and DELETE requests, plus common pitfalls and fixes.

Standard Selenium ChromeDriver is blocked by most protected websites in the first few requests. Anti-bot services like Cloudflare, DataDome, and HUMAN (formerly PerimeterX) can detect automation flags, WebDriver properties, and browser fingerprint gaps before the first page finishes loading. The undetected_chromedriver library patches ChromeDriver to reduce these detection signals and works as a drop-in Selenium WebDriver replacement. This guide shows what actually gets flagged, how the patches work, and how to fill the gaps with proxies and behavioral techniques.

Puppeteer vs. Playwright is a real architectural decision for any production scraping project. The two libraries share a common origin: Playwright was built at Microsoft by engineers who previously worked on Puppeteer at Google. Yet they're different on browser coverage, language bindings, and scraping ergonomics. Performance, stealth, proxy integration, and parallel execution decide which tool fits your pipeline.

A plain Go HTTP client only sees the HTML the server returns. That's enough for static pages. It breaks down when JavaScript renders the real content later, which is common on SPAs, infinite-scroll interfaces, and login-protected flows. chromedp solves that by driving Chrome or Chromium through the Chrome DevTools Protocol, or CDP, without a separate WebDriver layer. In this tutorial, you’ll set up chromedp, extract dynamic content, interact with pages, route traffic through proxies, run Chrome in Docker, and scale scraping with goroutines.

A bootstrapped data operation found that their web scrapers crawled to a halt as they tried to scale from 100 to 10,000 URLs. This is a common challenge with sequential processing and exactly why understanding concurrency vs parallelism is key to building efficient, scalable systems. This guide explains both concepts, their key differences, and limitations, so you can quickly decide the best mechanism for your project.

Minimum Advertised Price (MAP) violations don't announce themselves. One day, your authorized retailer lists your product at $299. The next, a competitor screenshots their $199 listing and sends it to your entire channel. Manufacturers, brand managers, and eCommerce teams are running automated data pipelines because the case for external data is clearest when the alternative is catching violations three weeks late. In this article, we’ll walk through what MAP monitoring is, the legal distinctions that matter, and how to build a production-ready automated tracker in Python.

Whether you're running an SEO audit, planning a site migration, or hunting down broken links, there's one task you'll inevitably face – finding every URL on a website. It sounds simple, but it isn't. Search engines don't index everything, sitemaps are often outdated, and dynamic pages hide behind JavaScript. This guide walks you through every major discovery method, from quick Google search operators and no-code scrapers to custom Python scripts.

Elixir web scraping solves one of the hardest problems in high-volume data collection: concurrency without thread overhead. The BEAM virtual machine (Erlang's runtime) runs each HTTP request as a lightweight process, not an OS thread, so you can fetch thousands of pages concurrently. If a process crashes, the supervisor restarts it automatically. This guide builds a complete Elixir scraper from scratch, covering static pages, paginated targets, JavaScript-heavy sites, and anti-bot countermeasures.

Most AutoGPT tutorials stop at "get it running", but that's the easy part. The harder part that determines whether your agents are useful is connecting them to live data, and AutoGPT helps you fix that. This guide covers AutoGPT local setup, UI navigation, custom Python block development, and the integration patterns that turn AutoGPT into a production workflow tool.

To scrape IMDb data with Python at scale, you work with the 6 data layers IMDb sends to the browser instead of parsing the rendered HTML. IMDb is a Next.js application sitting behind AWS Web Application Firewall (AWS WAF) Bot Control, and the data lives in JSON-LD blocks, hydration payloads, and an internal GraphQL endpoint. To reach any of them past IMDb's WAF, you need more than plain requests and a real User-Agent, and the rest of this guide builds the setup that holds up.

When the website's firewall security settings block your request, Error 1020 will appear. This means that the restriction has been enforced even before your device gets to the website. People using automation tools, website administrators, and ordinary internet users encounter this problem. This post will help you understand what causes it and how to fix it.

Web data extraction typically follows two main paths: requesting through an API or directly scraping target pages. If you're building distributed data pipelines, your choice can impact scalability, reliability, and overall cost. In this guide, we'll explore what each path entails, provide a detailed comparison between them, and explain when to use APIs, web scraping, or both.

Local LLMs are powerful, but their knowledge ends at the training cutoff. Without internet access, a model running on your own hardware can’t check current prices, read recent news, or retrieve updated documentation. Open WebUI’s Tools system solves this by letting models call custom Python functions during a conversation. In this tutorial, you’ll connect the Decodo Web Scraping API to a custom Open WebUI tool, so your model can fetch live web content on demand.

If you try to run curl on an infinite scroll page and then search (grep) for the content, the result will show zero matches. The required items aren't available in the initial HTML. The content is loaded using fetch requests that the page sends when a scroll event is triggered. This guide will cover: diagnosing the target, three scroll strategies, verification, speed, anti-detection methods, and a real-world walkthrough.

Telegram is a popular messaging platform, but it doesn’t come without privacy, security, speed, and availability challenges. To overcome these, you may opt to use a proxy for Telegram. If you’re in the market for a proxy that will be a perfect match for this platform, here is a full guide that explains when and why you’d need a proxy, available types, step-by-step setup instructions, troubleshooting, and security tips to access the app anywhere safely.

When you need to scrape 50 pages of search results behind a login wall, raw Requests + Beautiful Soup force you to track cookies and assemble form payloads by hand, while Selenium launches a full browser for pages that don't even use JavaScript. MechanicalSoup sits between those extremes. It wraps Requests and Beautiful Soup into a stateful browser that handles web scraping sessions, forms, and navigation automatically. This guide covers everything from installation to proxy-powered production scrapers.

Puppeteer makes browser automation feel easy until you need to save a file to disk. Triggering a download in headless mode isn't the same as clicking a button in a real browser, and the default behavior in headless Chrome won't help you. This guide covers the full Puppeteer download file workflow: configuring CDP correctly, picking the right method for your scenario, detecting when a file truly finished, and scaling to batch jobs without leaking memory or corrupting your queue.

Submitting forms with Puppeteer goes beyond just clicking a button on the browser or typing text into an input box. Puppeteer is a Node.js library that can control a headless or headful Chromium (browser) instance through the DevTools Protocol. That means you can use Puppeteer to automatically locate form fields, fill input boxes with necessary values, trigger the action of submitting a form, and confirm whether that form submission actually worked. If you’re into web scraping, or you’re testing your own product, or even automating anything in a browser with JavaScript, you’ll inevitably run into form fields and submit buttons that you will need to get passed programmatically with Puppeteer.

Yelp doesn't make scraping easy. The data you need is spread across multiple backend systems (no single endpoint gives you everything), and standard HTTP libraries get blocked before the first response. This guide covers every extraction method with Python, including the TLS impersonation and anti-bot techniques you need to avoid blocks at scale.

Every Glassdoor scraping tutorial that uses Selenium or Playwright fails for the same reason: Cloudflare anti-bot protection fingerprints the TLS connection and blocks non-browser traffic. Glassdoor has internal API endpoints that return the same structured JSON that the frontend uses, without rendering a page. Because these endpoints accept standard HTTP calls, you can bypass Cloudflare by calling them with Python and curl_cffi for browser-grade TLS fingerprinting, plus Decodo residential proxies for IP rotation. This guide covers 4 complete scrapers for reviews, jobs, interviews, and company profiles.

HTML tables are one of the most common ways websites organize data – financial reports, product listings, sports scores, population statistics. But this data is locked in the webpage's layout. To use it, you need to extract it. This guide will show you how to do it using Python, starting with simple static tables and working up to complex dynamic ones.

PowerShell is already where many Windows admins, DevOps teams, and automation-minded developers handle repetitive work. That makes web scraping a natural next step when you need product prices, uptime signals, public data for reports, or quick checks from the terminal. PowerShell works well here because output is pipeable, objects are native, and CSV and JSON exports are built in. In this guide, you'll build a scraper that fetches pages, parses HTML, handles pagination and errors, uses proxies when needed, and exports structured data.

A node-fetch proxy routes your fetch requests through an intermediary server, so the target site sees the proxy's IP instead of yours. It's the standard fix for IP blocks, geo-restrictions, and rate limiting in Node.js scraping. The catch: neither node-fetch nor Node's native fetch supports proxies natively, so you need an external agent library to bridge the gap.

PerimeterX, now HUMAN, is a cybersecurity platform that employs multiple detection techniques to accurately identify and block threats to web applications. Since numerous high-traffic websites rely on PerimeterX, it's almost inevitable that developers will encounter it when web scraping. This guide explains how PerimeterX detects bots, how to bypass it (tools and strategies), and how to troubleshoot common failures.

Scraping projects usually start simple: a Python script, the Beautiful Soup parsing library, and a list of URLs. That's enough for small jobs. Once you're past a few hundred thousand pages, you start hitting problems: timeouts, IP bans, parsers returning empty fields because someone changed a div to a span. At that point, it's not a coding problem anymore, it's an infrastructure problem. This guide covers the architecture, proxy management, anti-bot evasion, pipelines, costs, compliance, where the industry is headed, and build vs. buy decisions.

Web scraping becomes truly valuable when it is automated. It allows you to track competitor prices, monitor job listings, and continuously feed fresh data into AI pipelines. But while building a scraper that works can be exciting, real-world use cases require repeatedly and reliably collecting data at scale, which makes manual or one-off scraping ineffective. 

Scheduling enables this by ensuring consistent execution, reducing errors, and creating reliable data pipelines. In this guide, you will learn how to automate scraping using 3 approaches: in-script scheduling with Python libraries, system-level tools like cron or Task Scheduler, and cloud-based solutions such as GitHub Actions.

Traditional scrapers return raw HTML. Turning that raw data into structured AI-ready data takes 50%+ extra engineering time, and pushing it directly into an LLM quickly becomes expensive at scale. Crawl4AI was built for that gap: Playwright rendering, automatic Markdown conversion, and native LLM extraction in one open-source framework. This guide takes you from a basic page crawl to production-ready structured data extraction.

A scraper that fetches pages one at a time spends most of its time waiting on the network. Asynchronous web scraping in Python (built on asyncio and aiohttp) fixes that by handling many requests at once on a single event loop. This guide walks through building a working async scraper, then covers the proxy, retry, and anti-bot escalation patterns you'll need at scale.

No-code web scraping with n8n lets you build automated scrapers on a visual canvas – no Python, no server, no terminal. You need prices tracked weekly or listings monitored daily, but can't code a scraper or run one. This guide shows you how to use only drag-and-drop nodes that run on schedule in the cloud.

When it comes to gathering online data, two terms often create confusion: web crawling and web scraping. Although both involve extracting information from websites, they serve different purposes and employ distinct methods. In this article, we’ll break down these concepts, show you how they work, and help you decide which one suits your data extraction needs.

A 500 Internal Server Error means the server encountered a generic internal error while processing your request. It's frustrating because the message is deliberately vague. This guide is for you if you run a website, build or maintain applications, or send programmatic requests, whether you are fixing your own site or dealing with 500s from external targets while collecting data from the web.

Watir is an open-source Ruby library for automating web browsers through code. Built on top of Selenium WebDriver, it wraps browser communication in a clean, Ruby-idiomatic API so you can focus on clicking buttons, filling forms, navigating pages, and extracting data without managing the underlying complexity. It's particularly useful for scraping JavaScript-heavy sites, automating form submissions, and collecting content that only appears after user interaction. This guide walks you through the full process, from setup to a working Watir scraper with proxy support.

Wikipedia has over 60 million articles, making it a valuable resource for machine learning training data, research datasets, and competitive intelligence. This tutorial guides you through extracting your first article to building crawlers that navigate Wikipedia's knowledge graph. You'll learn to extract titles, infoboxes, tables, and image references, then scale up to crawling entire topic clusters.

Yes, you can parse HTML with regex – but only for specific tasks. Regex works well on flat targets like meta tags, sitemap URLs, or inline JSON-LD. But on nested or JavaScript-rendered markup, it fails silently, and you often don’t notice until the data is already wrong. This guide explains when regex works on HTML and when it breaks, includes working Python for the common extraction tasks (meta tags, JSON-LD, bulk extraction), and covers when to switch to a parser or get past a page that blocks you.

Indeed hosts millions of job listings across industries and locations, making it a valuable data source for analysts, recruiters, data engineers, and founders who need real-time job intelligence. Scraping job data is challenging because sites change and anti-bot defenses evolve. This guide walks you through a resilient, modern approach that works reliably today – and scales when you need it to.

ZoomInfo is a goldmine for B2B teams – over 100M company profiles and 260M contacts, all in one place. But getting that data isn’t easy. With strict defenses like CAPTCHAs, browser fingerprinting, and aggressive IP bans, most scrapers fail after just a few requests. That’s where this guide comes in. We’ll show you how to bypass ZoomInfo’s countermeasures and extract clean, actionable data at scale.

If you're scraping with Playwright or Selenium, you've hit this. Your script works on unprotected sites, but Cloudflare, PerimeterX (HUMAN Security), and DataDome detect the headless browser and block it within seconds. Stealth plugins help, but each browser update breaks the patches. Camoufox takes a different approach – it modifies Firefox at the binary level to spoof browser fingerprints, making automated sessions look like real user traffic. This guide covers Camoufox setup in Python, residential proxy integration, real-world test results against protected targets, and when browser-level tools aren't enough.

In recent years, there has been a significant shift in the way content creators, influencers, and artists connect with their audience and monetize their talents. OnlyFans, a subscription-based social media platform, has emerged as a website that allows creators to share exclusive content directly with their dedicated followers for a subscription fee.

OnlyFans scraping, which involves extracting publicly available data from the website, has sparked an interest. In this blog post, we’ll delve into this scraping world, its possible use cases, and the benefits it offers. Excited to learn more? Buckle up, and let’s begin!

When you scrape the web with Puppeteer, you almost always pull in data you want alongside extras you don't need, like images, fonts, and tracking scripts that increase your request count, slow your pages, and drain your proxy bandwidth. In this guide, you'll learn how to block unnecessary requests with request interception and Chrome DevTools Protocol (CDP) so your scraper runs faster and scales more efficiently.

As a Ruby developer, you must have used proxies for multiple applications, including web scraping, API integration, and geo-targeted testing. Without a proxy, every request leaves from the same IP, which is the fastest way to get rate-limited or blocked. In this guide, you'll learn how to configure a Ruby proxy with Net::HTTP and Faraday, add authentication, rotate IPs, and connect Ruby applications to Decodo residential proxies.

Browser fingerprinting allows websites to identify and track users across devices and sessions without relying on cookies. The W3C and major browser vendors flag it as a privacy threat that regulators are actively working to address. BotBrowser is an open-source, privacy-focused Chromium-based browser core designed to maintain a consistent fingerprint across operating systems. This guide covers its features, setup, validation, and practical use cases.

JSON is the format that most web APIs and modern websites use to send their data. This tutorial shows how to scrape JSON data in Python – fetching it, parsing it, modifying it, and exporting clean files. You'll also learn about the tools for messy or oversized responses, and how to get data when sites block you with fingerprinting.

The Go vs Python comparison is a key discussion among developers. Go (Golang), created at Google, excels in performance, scalability, and concise syntax for distributed systems. Meanwhile, Python prioritizes readability and rapid development with a vast library ecosystem. Understanding these core differences is crucial for developers choosing tech stacks in 2026 and beyond. Let's dive in!

TL;DR: A web crawler is a program that systematically navigates the web by following links from page to page. Python is the go-to language for building crawlers thanks to libraries like Requests, Beautiful Soup, and Scrapy. This guide covers everything from your first 50-line crawler to a production-grade Scrapy setup with proxy integration, JavaScript rendering, and distributed architecture. If you've ever had to collect data from hundreds or thousands of pages and done it manually, this is for you.

Rebrowser is an open-source project that patches Playwright and Puppeteer to strip the automation signals that anti-bot systems detect. Its main target is the Runtime.Enable CDP command, which both libraries call by default and which vendors flag as automation. This article explains what the patches change, how to install and run them, and how to pair rebrowser with proxies.