Python如何爬取京東的評(píng)價(jià)信息

模塊：requests，BeautifulSoup

import re

import time

import csv

import requests

from bs4 import BeautifulSoup

def write_a_row_in_csv(data, csv_doc):

"save good information into a row in csv document"

with open(csv_doc, 'a', newline='') as f:

writer = csv.writer(f)

writer.writerow(data)

# add headers, download page, check status code, return page

url = 'https://search.jd.com/Search?keyword=%E5%8D%8E%E4%B8%BAp20&enc=utf-8&suggest=1.def.0.V13&wq=%E5%8D%8E%E4%B8%BA&pvid=f47b5d05bba84d9dbfabf983575a6875'

headers = {

"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0"

}

response = requests.get(url, headers=headers)

print(response.status_code)

# save as html document

with open('html.html', 'w', encoding='utf8') as f:

f.write(response.text)

# save as csv document

with open('phone.csv', 'w', newline='') as f:

writer = csv.writer(f)

fields = ('id', '名稱', '價(jià)格', '評(píng)價(jià)人數(shù)', '好評(píng)率')

writer.writerow(fields)

# find elements, such as name, item, price, comment, goodrate, comment count

soup_all = BeautifulSoup(response.content, 'lxml')

sp_all_items = soup_all.find_all('li', attrs={'class': 'gl-item'})

for soup in sp_all_items[:3]:

print('-' * 50)

name = soup.find('div', attrs={'class': 'p-name p-name-type-2'}).find('em').text

print('name: ', name)

item = soup.find('div', attrs={'class': 'p-name p-name-type-2'}).find('a')

print('item: ', item['href'], re.search(r'(\d+)', item['href']).group())

price = soup.find_all('div', attrs={'class': 'p-price'})

print('price:', price[0].i.string)

comment = soup.find_all('div', attrs={'class': 'p-commit'})

print('comment url:', comment[0].find('a').attrs['href'])

time.sleep(0.2)

# need add referer into headers

item_id = re.search(r'(\d+)', item['href']).group()

url = f'https://sclub.jd.com/comment/productPageComments.action?productId={item_id}&score=0&sortType=5&page=0&pageSize=10&isShadowSku=0&fold=1'

headers = {

"referer": f"https://item.jd.com/{item_id}.html",

"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 SE 2.X MetaSr 1.0"

}

response = requests.get(url, headers=headers)

with open('html.json', 'w', encoding='utf8') as f:

f.write(response.text)

data = response.json()

comment_count = data['productCommentSummary']['commentCount']

print('評(píng)價(jià)人數(shù)：', comment_count)

good_rate = data['productCommentSummary']['goodRate']

print('好評(píng)率：', good_rate)

# record data into CSV sheet

write_a_row_in_csv(('id'+item_id, name, price[0].i.string, comment_count, good_rate), 'phone.csv')

總結(jié)

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