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Deep dives into web data infrastructure, extraction techniques, and the future of structured data at scale.

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155 articles

Best Shared and Dedicated Datacenter Proxies in 2026
Science of Web Scraping

Best Shared and Dedicated Datacenter Proxies in 2026

TL;DR: For cheap bulk scraping of lightly protected sites, Decodo and Webshare have the lowest shared datacenter proxy prices. For dedicated IPs at scale, SquidProxies, Oxylabs, and Bright Data fall to between $0.80 and $1.30 per IP at their top tiers. Pick semi-dedicated IPs from Rayobyte or BuyProxies when you want fewer neighbors on a budget. This guide compares 11 providers on list prices.

Anda Miuțescu20 min read
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Real Estate Web Scraping with Python: Collect Property Data
Guides

Real Estate Web Scraping with Python: Collect Property Data

TL;DR: Learn how to scrape real estate data with Python: choose a source, parse listings and JSON-LD, check portal terms, and get house prices from open data.

Robert Munceanu21 min read
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BeautifulSoup Tutorial: Build a Python Scraper from Scratch
Guides

BeautifulSoup Tutorial: Build a Python Scraper from Scratch

TL;DR: This BeautifulSoup tutorial walks you through a complete Python scraper, from pip install to a hardened script that paginates Hacker News, exports to CSV and JSON, and stays polite enough not to get blocked. Every snippet is runnable, and we call out the exact moments when BeautifulSoup is the wrong tool.

Sorin-Gabriel Marica17 min read
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Web Scraping Java: Build a Reliable Java Scraper
Guides

Web Scraping Java: Build a Reliable Java Scraper

TL;DR: Start with HttpClient and Jsoup when data is present in returned HTML, call an exposed JSON source when appropriate, and add rendering or Selenium only for browser-dependent state. This web scraping Java tutorial grows one Java 21 codebase through pagination, capped concurrency, retries, sessions, validation, and durable output.

Raluca Penciuc25 min read
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Web Scraping with Selenium: Python Step-by-Step Tutorial
Guides

Web Scraping with Selenium: Python Step-by-Step Tutorial

TL;DR: Selenium lets you scrape JavaScript-heavy websites by driving a real browser from Python code. This tutorial walks you through every phase: installing Selenium, configuring Chrome, locating and interacting with elements, handling waits and pagination, exporting clean data, and scaling your scraper with proxies, Selenium Grid, and API-based alternatives.

Robert Sfichi27 min read
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C and C++ Web Scraping with libcurl and lexbor
Guides

C and C++ Web Scraping with libcurl and lexbor

TL;DR: For C and C++ web scraping, use libcurl to download pages and lexbor to parse HTML5 with CSS selectors; both are plain C, so one stack serves both languages. Choose C++ when the scraper lives in a native codebase, runs on constrained hardware, or parses large volumes of HTML. For quick one-off jobs, Python is faster to write.

Raluca Penciuc24 min read
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