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wistbean/learn_python3_spider

Analysis updated 2026-05-18

21,629PythonAudience · developerComplexity · 2/5LicenseSetup · easy

TLDR

A Chinese-language tutorial series teaching web scraping with Python 3, from basics to advanced techniques like handling logins, CAPTCHAs, and distributed scrapers.

Mindmap

mindmap
  root((repo))
    What it does
      Teaches web scraping
      Automates data collection
      Covers Python 3
    Topics covered
      Network traffic inspection
      Page parsing libraries
      Login handling
      CAPTCHA bypass
      Anti-scraping measures
      Mobile app automation
      Database storage
      Distributed scrapers
    Learning path
      Beginner concepts
      Intermediate techniques
      Advanced scenarios
    Tools and libraries
      Fiddler
      mitmproxy
      Python libraries
    Use cases
      Learning web scraping
      Building data collectors
      Understanding automation
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Code map

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What do people build with it?

USE CASE 1

Learn how to automatically collect data from websites and apps using Python from scratch.

USE CASE 2

Build a web scraper that handles logins, CAPTCHAs, and anti-scraping protections.

USE CASE 3

Set up a distributed scraping system that runs across multiple servers to gather large amounts of data.

USE CASE 4

Understand how to inspect network traffic and parse web page content programmatically.

What is it built with?

Python 3Fiddlermitmproxy

How does it compare?

wistbean/learn_python3_spiderxiaomi/ha_xiaomi_homerecommenders-team/recommenders
Stars21,62921,65421,669
LanguagePythonPythonPython
Setup difficultyeasymoderatemoderate
Complexity2/52/53/5
Audiencedevelopervibe coderresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

learn_python3_spider is a Chinese-language tutorial series for learning Python web scraping from scratch. The description frames it as a "from zero to one" guide aimed at people new to scraping who want a structured path through the topic. Instead of being a single library, the repository is essentially a curated reading list and accompanying example collection, linking out to a long sequence of articles that build skills step by step. According to the description, the series covers the full landscape of practical scraping work. It walks through capturing browser and mobile-app traffic with tools like Fiddler and mitmproxy, then introduces the common Python modules used in scrapers, including requests, BeautifulSoup, Selenium, Appium, and Scrapy. It also touches on supporting skills a real scraper needs in the wild: rotating IP proxies to avoid being blocked, recognising CAPTCHAs, storing scraped data in MySQL and MongoDB databases, running scrapes in multiple threads or processes for speed, reversing CSS-based and JavaScript-based anti-scraping protections, building distributed scrapers across machines, and several end-to-end project examples. Someone would use this repo as a self-study curriculum rather than as a code library you install. It fits a beginner who can read Chinese and wants a single roadmap from "what is a scraper" through to advanced reverse-engineering, instead of piecing tutorials together themselves. The repository's primary language is listed as Python.

Copy-paste prompts

Prompt 1
Show me how to use Python to scrape data from a website, starting with fetching a page and parsing its HTML content.
Prompt 2
How do I handle login requirements when scraping a website that requires authentication?
Prompt 3
What techniques can I use to bypass CAPTCHA and anti-scraping measures when collecting data from websites?
Prompt 4
How do I set up a distributed web scraper that can run across multiple servers to collect data at scale?
Prompt 5
Explain how to intercept and inspect network traffic from a mobile app using mitmproxy or Fiddler.

Frequently asked questions

What is learn_python3_spider?

A Chinese-language tutorial series teaching web scraping with Python 3, from basics to advanced techniques like handling logins, CAPTCHAs, and distributed scrapers.

What language is learn_python3_spider written in?

Mainly Python. The stack also includes Python 3, Fiddler, mitmproxy.

What license does learn_python3_spider use?

Use freely for any purpose including commercial, as long as you keep the copyright notice.

How hard is learn_python3_spider to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is learn_python3_spider for?

Mainly developer.

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