Trying to Tabulate Information from an Aircraft Website Link(s)

[snippsat]

Hi i have been busy lately and do have much time for answers.
Can take a little now.

But I get the following Traceback Error :-

Have to be careful with () [] count when have so long line.

Southport = df[(df['Location'].str.contains('- Display')) & (df['Lancaster'].str.contains('L')) | (df['Dakota'] == 'D') & (df['Spitfire'] == 'S') & (df['Hurricane'] == 'H')] 
Southport

I did tow in a |(mean or) to get some matches.
&(means and)

There are 7 months i.e. March to September, and the Url differs only by the following ending, i.e. march07.html april07.html may07.html etc.

Make months.

>>> import calendar
>>> 
>>> months = filter(None, calendar.month_name)
>>> months = list(months) 
>>> months
['January',
 'February',
 'March',
 'April',
 'May',
 'June',
 'July',
 'August',
 'September',
 'October',
 'November',
 'December']

>>> months[2:5]
['March', 'April', 'May'

Use in url.

import pandas as pd
import requests
from bs4 import BeautifulSoup
import calendar

months = filter(None, calendar.month_name)
months = list(months)

new_table = []
for month in months[2:5]:
    res = requests.get(f"http://web.archive.org/web/20070701133815/http://www.bbmf.co.uk/{month}07.html")
    soup = BeautifulSoup(res.content,'lxml')
    table = soup.find_all('table')[0]
    new_table.append(soup.find_all('table')[0])

print(new_table)

In Pandas eg May month.

import pandas as pd
import requests
from bs4 import BeautifulSoup
import calendar

months = filter(None, calendar.month_name)
months = list(months)

new_table = []
for month in months[2:5]:
    res = requests.get(f"http://web.archive.org/web/20070701133815/http://www.bbmf.co.uk/{month}07.html")
    soup = BeautifulSoup(res.content,'lxml')
    table = soup.find_all('table')[0]
    new_table.append(soup.find_all('table')[0])

df = pd.read_html(str(new_table[2]))

How can I adapt that Code, so requests will go through all links, to produce the necessary Data, i.e. display all SHD Bookings only, for the Whole year ?

Same way as i showed you over with that other url,and as this is a new task you should try on or own or make a new Thread.
These task(not the easiest) you will get stuck a lot,when have missing basic Python knowledge