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dropsdevopsorg/ecommercecrawlers

5,514PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

A Python collection of web scrapers targeting major Chinese websites including Taobao, Weibo, Dianping, and more, built from real client work and presented as learning examples for web scraping techniques.

Mindmap

mindmap
  root((ECommerceCrawlers))
    Targets
      Taobao shopping
      Weibo social media
      Dianping reviews
      Baidu Tieba forum
    More targets
      Xianyu second-hand
      Job listing sites
      Business databases
    Use Cases
      Price comparison
      Market research
      Data collection
    Tech Stack
      Python
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Code map

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Things people build with this

USE CASE 1

Scrape product listings from Taobao or second-hand goods from Xianyu for price research.

USE CASE 2

Collect restaurant reviews from Dianping for market analysis or business intelligence.

USE CASE 3

Learn real-world web scraping patterns by studying standalone scrapers built for actual client projects.

USE CASE 4

Gather job listing data from Chinese job boards or business registration data from QiChaCha.

Tech stack

Python

Getting it running

Difficulty · moderate Time to first run · 30min

Each sub-project has its own requirements, Chinese platform scrapers may require valid accounts or sessions for authenticated pages.

In plain English

ECommerceCrawlers is a Python collection of web scrapers targeting Chinese websites and platforms. Each scraper in the repository is a standalone project written by contributors to the group, and the README notes that about 80 percent were originally built for paying clients who agreed to open-source the work before it was added here. The collection is also presented as a learning resource for people studying web scraping techniques. The repository covers more than twenty different targets, ranging from e-commerce platforms to social media, news sites, and business databases. Among the included scrapers are tools for Taobao (China's largest shopping platform), Dianping (a restaurant and business review site), and Xianyu (a second-hand goods marketplace). There are also scrapers for job listing sites, WeChat public accounts, Weibo (a large Chinese microblogging platform), Douban (a movie and music review site), and Baidu Tieba (a popular forum network). Travel booking data from Ctrip, business registration data from QiChaCha, and property listings from Anjuke and Tujia are also covered. Each sub-project in the collection comes with its own readme explaining how the scraping process works for that particular site. The README describes the collection as practical examples that help someone new to crawling understand common problems and solutions, built around real targets rather than toy exercises. The project is maintained on both GitHub and a Chinese code hosting platform called Gitee. The README is written in Chinese, and the project is clearly aimed at a Chinese-speaking audience familiar with these platforms.

Copy-paste prompts

Prompt 1
Help me adapt the Taobao scraper in ECommerceCrawlers to extract product titles and prices for a given search keyword.
Prompt 2
Explain how the Weibo scraper in this collection handles authentication and session management.
Prompt 3
Show me how to modify the Dianping scraper to collect business hours and ratings for restaurants in a specific city.
Prompt 4
Help me set up and run the QiChaCha business registration scraper from the ECommerceCrawlers project.
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