Table scraper easy

 url = ('https://cameradecision.com/compare/Fujifilm-X-T30-vs-Sony-Alpha-a6400')

source = requests.get (url)

soup = BeautifulSoup(source.text,'html.parser')

rows = soup.find('table', {'class':'table table-striped table-condensed tableCompare'}).find('tbody').find_all('tr')

myfeatures = []

vs1 = []

vs2 = []

myresult = []

for row in rows:

dic = {}

dic['myfeatures'] = row.find_all('td')[0].text.replace("\n" , "" )

dic['vs1'] = row.find_all('td')[1].find('span', class_="read1").text

dic['vs2'] = row.find_all('td')[1].find('span', class_="read2").text

dic['myresult'] = row.find_all('td')[2].text.replace("\n" , "" )

myfeatures.append(dic)

print(myfeatures)

df = pd.DataFrame (myfeatures)

df.to_csv ( '/Users/jitendersingh/Documents/myfeatures.csv', mode = 'a' , index = False , header = False )

print ( "my table file created successfully." )