J'essaie d'extraire plusieurs valeurs du site Web (https://carone.com.uy/autos-usados-y-0km?p=21). Certains fonctionnent bien, mais d'autres non. Par exemple, je suis capable d'extraire le nom, le modèle, le prix et le type de carburant, mais je ne peux pas extraire correctement les champs « Année » ou « Kilomètres », le code renvoie toujours « N/A » comme valeur.
Voici le code que j'utilise :
import pandas as pd
from datetime import date
import os
import socket
import requests
from bs4 import BeautifulSoup
def scrape_product_data(url):
try:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
}
product_data = []
# Make the request to get the HTML content
response = requests.get(url, headers=headers)
response.raise_for_status() # Check if the request was successful
soup = BeautifulSoup(response.text, 'html.parser')
product_elements = soup.find_all('div', class_='product-item-info')
for product_element in product_elements:
# Extract product name, price, model, and attributes as before (same code as previous version)
product_name_element = product_element.select_one('p.carone-car-info-data-brand.cursor-pointer')
product_name = product_name_element.text.strip() if product_name_element else "N/A"
product_price_element = product_element.find('span', class_='price')
product_price = product_price_element.text.strip() if product_price_element else "N/A"
product_model_element = product_element.select_one('p.carone-car-info-data-model')
product_model = product_model_element.get('title').strip() if product_model_element else "N/A"
# Extract product attributes
attributes_div = product_element.find('div', class_='carone-car-attributes')
year_element = attributes_div.find('p', class_='carone-car-attribute-title', text='Año')
year_value = year_element.find_previous_sibling('p', class_='carone-car-attribute-value').text if year_element else "N/A"
kilometers_element = attributes_div.find('p', class_='carone-car-attribute-title', text='Kilómetros')
kilometers_value = kilometers_element.find_previous_sibling('p', class_='carone-car-attribute-value').text if kilometers_element else "N/A"
fuel_element = attributes_div.find('p', class_='carone-car-attribute-title', text='Combustible')
fuel_value = fuel_element.find_previous_sibling('p', class_='carone-car-attribute-value').text if fuel_element else "N/A"
# Append product data as a tuple (name, price, model, year, kilometers, fuel) to the list
product_data.append((product_name, product_price, product_model, year_value, kilometers_value, fuel_value))
Le résultat ressemble à ceci : entrez la description de l'image ici
Je ne comprends pas pourquoi la valeur mentionnée obtient toujours "N/A" alors que les autres fonctionnent bien, la méthode est la même.
![[Web front-end] Démarrage rapide de Node.js](https://img.php.cn/upload/course/000/000/067/662b5d34ba7c0227.png)
Le problème est que le site utilise autre chose que
Kilómetros，而是Kilómetrosdans le texte de l'élément (il en va de même pour l'âge) :def scrape_product_data(url): headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3" } product_data = [] response = requests.get(url, headers=headers) response.raise_for_status() soup = BeautifulSoup(response.text, "html.parser") product_elements = soup.find_all("div", class_="product-item-info") for product_element in product_elements: product_name_element = product_element.select_one( "p.carone-car-info-data-brand.cursor-pointer" ) product_name = ( product_name_element.text.strip() if product_name_element else "N/A" ) product_price_element = product_element.find("span", class_="price") product_price = ( product_price_element.text.strip() if product_price_element else "N/A" ) product_model_element = product_element.select_one( "p.carone-car-info-data-model" ) product_model = ( product_model_element.get("title").strip() if product_model_element else "N/A" ) attributes_div = product_element.find("div", class_="carone-car-attributes") year_element = attributes_div.find( "p", class_="carone-car-attribute-title", string="Año" ) year_value = ( year_element.find_previous_sibling( "p", class_="carone-car-attribute-value" ).text if year_element else "N/A" ) kilometers_element = attributes_div.find( "p", class_="carone-car-attribute-title", string="Kilómetros" ) kilometers_value = ( kilometers_element.find_previous_sibling( "p", class_="carone-car-attribute-value" ).text if kilometers_element else "N/A" ) fuel_element = attributes_div.find( "p", class_="carone-car-attribute-title", string="Combustible" ) fuel_value = ( fuel_element.find_previous_sibling( "p", class_="carone-car-attribute-value" ).text if fuel_element else "N/A" ) product_data.append( ( product_name, product_price, product_model, year_value, kilometers_value, fuel_value, ) ) return pd.DataFrame( product_data, columns=["Name", "Price", "Model", "Year", "KM", "Fuel"] ) df = scrape_product_data("https://carone.com.uy/autos-usados-y-0km?p=2") print(df)Résultats d'impression :