Here is my script….
from bs4 import BeautifulSoup
import pandas as pd
import requests
url = f"https://niftyinvest.com/put-call-ratio/ACC"
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
for data in soup.find_all("p"):
print(data.get_text())
My output is as follows….
Nifty Invest
1857
arrow_drop_up
7.00 (0.38%)
Related Pages for ACC
Last Updated on
16 Jun 2023 04:15 PM
IST
On 28 Apr
ACC was trading at
1762.85 with pcr
value 1.5
On 2 May
ACC was trading at
1766 with pcr
value 0.6
On 3 May
ACC was trading at
1742 with pcr
value 0.82
On 4 May
ACC was trading at
1771 with pcr
value 0.71
On 5 May
ACC was trading at
1762 with pcr
value 0.67
On 8 May
ACC was trading at
1765 with pcr
value 0.79
On 9 May
ACC was trading at
1757 with pcr
value 1.17
On 10 May
ACC was trading at
1752 with pcr
value 1.07
On 11 May
ACC was trading at
1790 with pcr
value 0.79
On 12 May
ACC was trading at
1805 with pcr
value 0.48
On 15 May
ACC was trading at
1804.95 with pcr
value 0.71
On 16 May
ACC was trading at
1786 with pcr
value 0.78
On 17 May
ACC was trading at
1757 with pcr
value 0.6
On 18 May
ACC was trading at
1712 with pcr
value 0.74
On 19 May
ACC was trading at
1729 with pcr
value 0.86
On 22 May
ACC was trading at
1804.4 with pcr
value 0.56
On 24 May
ACC was trading at
1783 with pcr
value 0.55
On 25 May
ACC was trading at
1783 with pcr
value 0.58
On 26 May
ACC was trading at
1787.95 with pcr
value 0.57
On 29 May
ACC was trading at
1794 with pcr
value 0.57
On 30 May
ACC was trading at
1799 with pcr
value 0.55
On 31 May
ACC was trading at
1774.9 with pcr
value 0.61
On 1 Jun
ACC was trading at
1799.9 with pcr
value 0.58
On 2 Jun
ACC was trading at
1815 with pcr
value 0.59
On 5 Jun
ACC was trading at
1812.5 with pcr
value 0.6
On 6 Jun
ACC was trading at
1857 with pcr
value 0.65
On 7 Jun
ACC was trading at
1855.1 with pcr
value 0.63
On 8 Jun
ACC was trading at
1834 with pcr
value 0.6
On 9 Jun
ACC was trading at
1833.05 with pcr
value 0.64
On 12 Jun
ACC was trading at
1837 with pcr
value 0.65
On 13 Jun
ACC was trading at
1843.9 with pcr
value 0.67
On 14 Jun
ACC was trading at
1853 with pcr
value 0.64
On 15 Jun
ACC was trading at
1847.5 with pcr
value 0.6
On 16 Jun
ACC was trading at
1857 with pcr
value 0.63
But Here I want my output as….
28 Apr ACC 1762.85 1.50
2 May ACC 1766.00 0.60
3 May ACC 1742.00 0.82
4 May ACC 1771.00 0.71
5 May ACC 1762.00 0.67
How can I get that data for all dates present in my script output.
2
Answers
The text you want is in nested
<b>elements in each<p>, e.g.You can select those elements instead of taking the text of the entire paragraph.
To format it as a nice table, the easiest way is to put it into a pandas dataframe and print that.
Here is a working example, please notice that on tokens you have all the control to do what you want 🙂