Le scraping

import requests
from bs4 import BeautifulSoup
import json

URL = "https://www.votreurl.com/fr"

response = requests.get(URL)
soup = BeautifulSoup(response.text, "html.parser")

reviews = []

# Tous les blocs témoignages
items = soup.select(".carousel-item-contenu")

for item in items:
    # Auteur
    author_elem = item.select_one(".temoignages_author")
    author = author_elem.get_text(strip=True) if author_elem else ""

    # Date
    date_elem = item.select_one(".temoignages_date")
    date = date_elem.get_text(strip=True) if date_elem else ""

    # Rating = nombre d'étoiles <li>
    stars = item.select(".tem-etoile-ul li")
    rating = len(stars)

    # Image client
    img_elem = item.select_one(".temoignage-ordre1 img")
    image = img_elem["src"] if img_elem else ""

    # Texte du témoignage
    text_elem = item.select_one(".temoignages_text")
    text = text_elem.get_text(" ", strip=True) if text_elem else ""
    text = text.replace("'", "\\'")  # échappement JS

    reviews.append({
        "author": author,
        "date": date,
        "rating": rating,
        "text": text,
        "image": image,
    })

# Sauvegarde JSON
with open("avis.json", "w", encoding="utf-8") as f:
    json.dump(reviews, f, indent=4, ensure_ascii=False)

print(f"{len(reviews)} témoignages extraits.")

[
  {
    "author": "Sébastien G.",
    "date": "25/11/2025",
    "rating": 5,
    "text": "Bonjour Mme, le service était impeccable et...",
    "image": "https://www.images..."
  },
  {
    "author": "Marie L.",
    "date": "22/11/2025",
    "rating": 4,
    "text": "Très bonne gestion de mon dossier locatif.",
    "image": ""
  }
  // ... 171 autres entrées
]