Pandas: Creating multiple new columns from function with multiple output values

Question

Im trying to scrape a website for multiple values regarding a list of books. The links to the book pages are stored in a dataframe. Now I need a function that iterates those links and adds the book values to new columns in the dataframe. I don't want to request the page again every time I'm scraping a new book value, so I want to do it all in one function. The problem is the function then returns multiple values (e.g. book_title and book_rating) which I don't know how to best add to the dataframe.

I tried the following, which I know can't work but I'm stuck:

import requests as rq
from bs4 import BeautifulSoup as bs
import pandas as pd

#function to get the book page
def get_book_page(page):
    # Construct the URL
    books_page_url = page

    # Get the HTML page content using requests
    response = rq.get(books_page_url, headers = headers)

    # Ensure that the response is valid
    if response.status_code != 200:
        print('Status code:', response.status_code)
        raise Exception('Failed to fetch web page ' + books_page_url)

    # Construct a beautiful soup document
    doc = bs(response.content, "html.parser")

    return doc


#function to scrape the book title
def scrape_book_title(book_content):
    try:
        title_tag = book_content.find("h1", class_="bc-heading bc-color-base bc-size-large bc-text-bold").text.strip()
    except:
        title_tag = "fehlt"
    return title_tag


#function to scrape the book rating
def scrape_book_rating(book_content):
    star_tag = book_content.find("li", class_="bc-list-item ratingsLabel")
    try:
        rating_tag = star_tag.find("span", class_="bc-text bc-pub-offscreen").text.strip()
    except:
        rating_tag = "fehlt"
    return rating_tag


#function I'm trying to fix
def get_book_title(links):
    bs_page = get_book_page(links)
    bs_content = bs_page.find("ul", class_="bc-list bc-spacing-s2 bc-color-secondary bc-list-nostyle")
    book_title = scrape_book_title(bs_content)
    book_rating = scrape_book_rating(bs_content)
    return book_title, book_rating

#here I would like to add the columns "A_Titel" and "A_Rating" with the values of "book_title" and "book_rating"
df['A_Titel'], df['A_Rating'] = df.apply(lambda x: get_book_title(x.Link), axis=1)