Scraping issue with id_tag

Providing your HTML is correct, static (doesn’t get loaded with javascript after initial page load), this is one way to select that/those links:

from bs4 import BeautifulSoup as bs

html = '''<p>Trad. de l'anglais par <a href="/searchinternet/advanced?all_authors_id=35534&SearchAction=1">Camille Fabien </a></p>'''

soup = bs(html, 'html.parser')
a = soup.select('a[href^="/searchinternet/advanced?all_authors_id="]')
print(a[0])
print(a[0].get_text(strip=True))
print(a[0].get('href'))

Result in terminal:

<a href="/searchinternet/advanced?all_authors_id=35534&amp;SearchAction=1">Camille Fabien </a>
Camille Fabien
/searchinternet/advanced?all_authors_id=35534&SearchAction=1

EDIT: Who doesn’t like a challenge?… Based on further comments made by OP, here is a way of obtaining titles, authors, translators and illustrator from that page – considering there can be one, or more translators/one or more illustrators:

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

headers = {
    'User-Agent': "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36"
    }

url = 'https://www.gallimard.fr/searchinternet/advanced/(editor_brand_id)/1/(fserie)/FOLIO-JUNIOR+LIVRE+HEROS%3A%3AFolio+Junior+-+Un+Livre+dont+Vous+%C3%AAtes+le+H%C3%A9ros+%40+DEFIS+FANTASTIQ%3A%3AS%C3%A9rie+D%C3%A9fis+Fantastiques/(limit)/3?date%5Bfrom%5D=1980-01-01&date%5Bto%5D=1995-01-01&SearchAction=OK'

big_list = []
r = requests.get(url, headers=headers)
soup = bs(r.text, 'html.parser')
items = soup.select('div[class="results bg_white"] > table div[class="item"]')
print()
for i in items:
    title = i.select_one('div[class="title"] h3')
    author = i.select_one('div[class="author"] a')
    history = i.select_one('p[class="collective_work_entries"]')
    translators = [[y.get_text() for y in x.find_previous_siblings('a')] for x in history.contents  if "Illustrations" in x]
    illustrators = [[y.get_text() for y in x.find_next_siblings('a')] for x in history.contents  if "Illustrations" in x]
    big_list.append((title.text.strip(), author.text.strip(), ', '.join([x for y in translators for x in y]), ', '.join([x for y in illustrators for x in y])))
df = pd.DataFrame(big_list, columns = ['Title', 'Author', 'Translator(s)', 'Illustrator(s)'])
print(df)

Result in terminal:

Bear in mind this method fails for Le Manoir de l'Enfer, because word ‘Illustrations’ is not found in text. It’s down to the OP to find a solution for that one.

BeautifulSoup documentation can be found at https://beautiful-soup-4.readthedocs.io/en/latest/index.html

Also, Pandas docs can be found here: https://pandas.pydata.org/pandas-docs/stable/index.html