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 from urllib.request import urlopen as uReq
from requests import get
from bs4 import BeautifulSoup as soup
import tablib


my_url = 'https://tradingeconomics.com/india/indicators'

uClient2 = uReq(my_url)
page_html = uClient2.read()
uClient2.close()

page_soup = soup(page_html, "html.parser")

containers11 = page_soup.findAll("div",{"class":"tab-pane"})

filename = "tradeeconomics.csv"

f = open(filename, "w", encoding='utf-8-sig')
headers = "GDP, Last, Reference,Previous,Range,Frequencyn"
f.write(headers)

for container in containers11:

    title_container = container.findAll("div",{"class":"col-md-4 col-xs-5"})


print(title_container)

f.close()
 

На самом деле вам не нужно BeautifulSoup получать таблицы.

Возможно, вы захотите попробовать pandas .

Например:

 import pandas as pd
import requests

html = requests.get("https://tradingeconomics.com/india/indicators").text
df = pd.read_html(html, flavor="bs4")[1]
df.to_csv("trade_economics.csv", index=False)
 

Вывод: