This guide shows how to use Python, Selenium, and requests to log into QQ Space, retrieve authentication cookies, compute the required g_tk token, fetch the full friend list via QQ's API, identify users who have blocked you, and optionally blacklist them automatically.
This tutorial demonstrates how to install Selenium, log into QQ Space, and programmatically retrieve both status updates and album photos using Python's Selenium and BeautifulSoup libraries, including detailed code examples for login, scrolling, and image downloading.
This article details the 18‑year‑old QQ Space's massive architecture overhaul, explaining why the legacy codebase became unsustainable, the guiding principles of progressive refactoring, the new Part‑and‑Section component model, performance optimizations, and the measurable improvements achieved after the rewrite.
The QQ Space team modernized their 18‑year‑old, 1.5‑million‑line mobile app by incrementally refactoring a tangled “primeval forest” architecture using the RFW‑Part and Section frameworks, layered design, and monitoring tools, cutting code size dramatically, boosting startup speed by over 50 % and improving FPS by nearly 5 %.
Learn step-by-step how to use Python's Selenium library to automate login, scroll through QQ Space, extract historical posts and download album photos, including driver setup, code snippets for login, shuoshuo retrieval, and photo downloading, enabling you to preserve nostalgic content.
On December 30, 2017, a sudden wave of users uploading and downloading their 18‑year‑old photos caused QQ Space's album service to experience a four‑times spike in download traffic and a twelve‑times surge in post activity, prompting the operations and development teams to employ capacity monitoring, elastic scaling, flexible architecture, and targeted optimizations to maintain service stability and user experience.
