How can I get BeautifulSoup info in the same row? - python-3.x

Question

I am currently web scraping and would like to get the specifications on the same row. When I currently print it column 2 looks like this:
text
text
text
text
text
I would like to get it all on the same row like this
text text text text text
so i can later chop it up into different columns in Excel later.
Is there maybe a transposing command I could use or something else?
Code:
import requests
from bs4 import BeautifulSoup
import csv
with open('Oslo.csv', 'w', newline='') as f:
fieldnames = ['column1', 'column2']
skriver = csv.DictWriter(f, fieldnames=fieldnames)
skriver.writeheader()
def data(page_number):
URL = 'https://www.url.com/' + str(
page_number) + '&sort=PUBLISHED_DESC'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
ads = soup.findAll('h2', class_="ads__unit__content__title ads__unit__content__title--fav-placeholder")
for data in ads:
id = data.find('a')
link = (id['id'])
url = 'https://www.url.com/'+str(link)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
ads = soup.findAll('div', class_="u-word-break")
for stats in ads:
address = stats.find('p', class_="u-caption")
specs = stats.find('dl', class_="definition-list definition-list--cols1to2")
skriver.writerow({'column1': address.text.strip(), 'column2': specs.text})
for x in range(1, 2):
data(x)
print('Ferdig, du kan åpne oslo.csv')
EDIT: Scraping from the website is illegal, so I removed the URL.

Answer 1

your specs.text is a string that contains \n new lines. You can split it, then join it back with just a space. Ie ' '.join(specs.text.split())
import requests
from bs4 import BeautifulSoup
import csv
with open('Oslo.csv', 'w', newline='') as f:
fieldnames = ['column1', 'column2']
skriver = csv.DictWriter(f, fieldnames=fieldnames)
skriver.writeheader()
def data(page_number):
URL = 'https://www.url.com/' + str(page_number) + '&sort=PUBLISHED_DESC'
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
ads = soup.findAll('h2', class_="ads__unit__content__title ads__unit__content__title--fav-placeholder")
for data in ads:
id = data.find('a')
link = (id['id'])
url = 'https://www.url.com/'+str(link)
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
ads = soup.findAll('div', class_="u-word-break")
for stats in ads:
address = stats.find('p', class_="u-caption")
specs = stats.find('dl', class_="definition-list definition-list--cols1to2")
address = ' '.join(address.text.split())
specs = ' '.joins(specs.text.split()) #<-- changed here
skriver.writerow({'column1': address, 'column2': specs})
for x in range(1, 2):
data(x)
print('Ferdig, du kan åpne oslo.csv')