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想系统学习代理知识,或者为下一个项目寻找新思路?这里正合适。
What is a digital footprint, and how do you reduce it?
Proxies & Business
What is a digital footprint, and how do you reduce it?A practical guide to your digital footprint, the trail of data your online activity leaves behind. It breaks the footprint into three layers (accounts and content, tracking, and connection), explains active and passive footprints, and gives step-by-step ways to reduce yours. It also covers how to keep the footprint of professional online work separate from your personal browsing.
Data security vs data privacy: key differences explained
Proxies & Business
Data security vs data privacy: key differences explainedA clear guide to the difference between data security and data privacy. Security protects data from unauthorized access and breaches, while privacy governs how personal data is collected, used, and kept. It covers where the two overlap, why privacy depends on security, how laws like GDPR and CCPA require both, and how to apply both when you collect data.
Data security best practices for collecting data at scale
Proxies & Business
Data security best practices for collecting data at scaleA practical guide to data security for teams that collect data at scale. It sorts the work into four zones (source, transit, access, and storage) and walks through 10 best practices, from data minimization and encryption to credential management, retention limits, and compliance.
Data aggregation: how it works, methods, and proxy types
Proxies & Business
Data aggregation: how it works, methods, and proxy typesData aggregation means collecting data from many sources, cleaning and standardizing it, and combining it into one dataset you can analyze. This guide covers the core methods, a tiered strategy for choosing sources (feeds, then APIs, then web collection), and which proxy type fits each kind of source, so your aggregated data stays complete, current, and accurate.
Dynamic web scraping in Python: Playwright, Selenium, and XHR
Proxies & Business
Dynamic web scraping in Python: Playwright, Selenium, and XHRThis guide covers three ways to scrape JavaScript-rendered pages in Python, rendering with Playwright or Selenium, or intercepting the page's XHR/API call directly with Requests, plus how to route each method through proxies and handle infinite scroll, rate limits, and pacing reliably.
Dedicated IP vs Shared IP: differences and how to choose
Proxies & Business
Dedicated IP vs Shared IP: differences and how to chooseA dedicated IP gives one user exclusive, predictable access at a higher cost, while a shared IP is drawn from a pool used by many at once for less, and the right pick depends on the workload.
12 data scraping projects to build and the proxies to use
Proxies & Business
12 data scraping projects to build and the proxies to useThis article covers 12 data scraping projects sorted by skill level, from a beginner quote collector to an advanced stock-market pipeline. Each one pairs a data source with the Proxy-Cheap proxy type that keeps it reliable, plus notes on tools and scraping responsibly.
Data preprocessing techniques for messy real-world data
Proxies & Business
Data preprocessing techniques for messy real-world dataData preprocessing turns messy, raw data (missing values, duplicates, outliers, inconsistent formats) into a clean, structured dataset ready for analysis or modeling, through cleaning, transformation, reduction, and integration steps.
Python Web Scraping Libraries: How to Pick the Right Stack
Proxies & Business
Python Web Scraping Libraries: How to Pick the Right StackCompare Python web scraping libraries by the job they do, then use our decision tree and benchmark to pick the right stack for your project.