Scrape and Visualize the Hurun Rich List (2015‑2020) with Python & Pyecharts
This article demonstrates how to scrape the Hurun Rich List from 2015 to 2020 using Python, clean the data, and create interactive visualizations of the top 20 wealth holders, wealth trends over six years, and industry shifts with Pyecharts.
On October 20, the Hurun Research Institute released the 2020 Hurun Rich List. The author scraped the rankings from 2015 to 2020 using Python, cleaned the data, and visualized it with Pyecharts.
Top 20 Richest Individuals
The chart shows the assets of the top 20 wealth holders, generated from the collected data.
Final visual result combining bar and line charts.
Wealth Change of the Top Richest Over Six Years
A bar chart and a line chart illustrate how the leading two billionaires (Jack Ma and Ma Huateng) have seen their fortunes converge, and how the industry composition shifted from real estate to internet after Ant Group's IPO.
Industry Wealth Change Over Six Years
The author classified the industries of the top 20 and visualized the shift: real estate's share declined, while healthcare, food, and other sectors grew, especially due to the pandemic.
The full Python code and the 4,000‑row dataset are available in the original article.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Python Crawling & Data Mining
Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.