New answers tagged finance
1
I found one source that has the data as an html table.
https://www.slickcharts.com/sp500
You can use pandas to parse the html table as a dataframe, and then write a csv:
import pandas as pd
import requests
df = pd.read_html(requests.get('https://www.slickcharts.com/sp500',
headers={'User-agent': 'Mozilla/5.0'}).text)[0]
print(df)
df....
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