wistbean/learn_python3_spider

This system is a collection of Python-based utilities focused on web scraping, data visualization, and automated messaging. It provides scripts to extract content from various platforms like Douban, Stack Overflow, and WeChat, alongside tools for generating word clouds and handling captchas. Additionally, it includes standalone HTML visualizations for educational score data and a WeChat bot for searching local emoji images.

This release introduces several new Python scripts for web scraping: dangdang\_top\_500.py for scraping book data from Dangdang, douban\_top\_250\_books.py and its multiprocessing variant douban\_top\_250\_books\_mul\_process.py for scraping movie data from Douban, ikun\_basketball.py for scraping Bilibili video data, meizitu.py for downloading images from meizitu, fuck\_bilibili\_captcha.py for handling Bilibili's slider captcha, wechat\_moment.py for scraping WeChat moments via Appium, and wechat\_public\_account.py for scraping WeChat public account articles. It also adds CloudCreat.py for generating word clouds, updates the README.md with extensive tutorial links and project descriptions, and configures .gitattributes to treat .js, .css, and .html files as Python for GitHub's linguist detection.

(repo-wide) · high confidence

Added standalone HTML files with embedded ECharts visualizations for GaoKao admission score lines in Zhejiang, Hainan, Shanghai, Anhui, Shandong, Shanxi, Xinjiang, Henan, Fujian, and Chongqing. Each file displays historical cutoff scores for liberal arts and science tracks (first-tier and second-tier batches) as interactive bar charts, allowing users to view year-over-year trends directly in a browser without external dependencies.

_GaoKao\Score · high confidence

This change introduces the complete structure for a new Scrapy-based web scraper targeting Stack Overflow Python questions. It includes the project configuration (settings.py) which enables a custom HTTP proxy middleware, Redis-based distributed scheduling and deduplication, and a MongoDB pipeline for storing results. The diff defines the data model (items.py) to capture question IDs, titles, votes, answers, views, and links, along with the spider logic (stackoverflow-python-spider.py) to iterate through paginated results. It also adds the necessary Python virtual environment, dependency requirements (Scrapy, pymongo, scrapy-redis, etc.), and IDE configuration files to support the development environment.

stackoverflow · high confidence

This change introduces a new Scrapy-based spider project for scraping content from qiushibaike.com. The implementation includes a spider that paginates through text posts, extracting the author, content, and ID into a defined item model. The scraped data is persisted to a local MongoDB instance via a configured pipeline, and the project is set up with standard Scrapy middleware and settings, including user-agent rotation and robots.txt compliance.

qiushibaike · high confidence

A new WeChat bot has been added that allows users to search for and send emoji images via chat. The system consists of a downloader script that fetches emoji collections from a specific website into a local directory, and a bot script that registers with WeChat to listen for text messages. When a user sends a keyword, the bot searches the local directory for matching image files and automatically sends up to six results back to the chat.

biaoqingbao · high confidence

The virtual environment at stackoverflow/venv has been populated with several Python packages, including Automat 0.8.0, pyOpenSSL 19.0.0, PyDispatcher 2.0.5, and PyHamcrest 1.9.0. These additions provide support for finite-state machine logic, SSL/TLS encryption, event dispatching, and flexible test assertions.

(repo-wide) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

• First survey — no prior run to compare against. CAI 41.

• Code Health 100
• Architecture 100
• Maturity 34
• Readiness 26
• Security 77
• Accessibility 56

• 90 commits — 89 feature/other, 1 fixes

• (root) — 72 commits
• (repo) — 11 commits
• .idea/.gitignore — 1 commit
• GaoKao_Score/2006-2016浙江高考录取分数线.html — 1 commit
• biaoqingbao/biaoqingbao.py — 1 commit
• qiushibaike/qiushibaike — 1 commit
• stackoverflow/stackoverflow — 1 commit
• stackoverflow/venv — 1 commit
• 全国高考历年录取分数据/ 2006-2017上海高考录取分数线（汇总） .html — 1 commit

• fix: fix dangdang_top_500
• change: Add files via upload
• change: Add files via upload
• change: Add files via upload
• change: Add files via upload
• change: Add files via upload
• change: Create .gitattributes
• change: Delete Brigtdata.png
• change: Delete Brigtdata.png
• change: Initial commit
• change: Merge branch 'master' of https://github.com/wistbean/learn_python3_spider
• change: Merge pull request #31 from Eunknight/patch-1
• change: Merge pull request #38 from Captain-Space/patch-1
• change: Merge pull request #39 from Fuercaisi/patch-1
• change: Merge pull request #46 from python-pitfalls/master
• change: Merge pull request #48 from huangwb8/hwb
• change: Merge pull request #53 from HqmJoker/master
• change: Merge pull request #8 from lovevantt/master
• change: Merge pull request #9 from ttzc/patch-1
• change: Modify WeChat account details in README
• …and 70 more

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

wistbean/learn_python3_spider was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.