How to Scrape and Visualize the 2021 China Hurun Rich List with Python
This tutorial demonstrates how to collect the top 2000 entries of the 2021 China Hurun Rich List using Python's requests library, process the data with pandas, and create insightful visualizations in Tableau, covering data extraction, cleaning, and analysis steps.
2021 China Hurun Rich List
The Hurun Institute released its 23rd annual China Rich List in 2021, maintaining a 20‑billion‑yuan entry threshold for the ninth consecutive year.
Data Collection
Data source: https://www.hurun.net/zh-CN/Rank/HsRankDetails?pagetype=rich. Open the page, press F12 and Ctrl+R to view network requests. The request URL contains offset (page number) and limit (max items per request). Setting limit=2000 retrieves all entries in a single call.
import requests
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.54 Safari/537.36'}
params = {'num': 'YUBAO34E', 'offset': 0, 'limit': 2000}
url = 'https://www.hurun.net/zh-CN/Rank/HsRankDetailsList'
page_text = requests.get(url=url, headers=headers, params=params).json()
page_textThe JSON response contains many fields; we extract the ones needed for analysis.
df['birth_place_split'] = df['birth_place'].str.split('-')
df['birth_place_split'] = df['birth_place_split'].apply(lambda x: '' if len(x) == 1 else x[1])
df['photo_split'] = df['photo'].apply(lambda x: x.split('/')[-1])
df.head()After cleaning, the dataset is saved locally for further processing.
Visualization
Visualization tool: Tableau 2021.3.
Top 10 Richest
The top‑10 list includes several familiar names, with industries such as beverages and healthcare appearing prominently.
Age Distribution
About 74% of the listed individuals are aged 45‑70, with the most common age being 58 (125 people).
Birthplace Distribution
The top three birthplaces are Zhejiang, Guangzhou, and Jiangsu.
Hot Industries
Dominant sectors include real estate, investment, pharmaceuticals, food, and chemicals.
Combined Dashboard
An integrated dashboard with linked visualizations provides a comprehensive overview of the dataset.
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