Python 爬虫实战之爬淘宝商品并做数据分析
前言
一、 项目要求:
二、效果预览
三、爬虫源码
import csv
import os
import time
import wordcloud
from selenium import webdriver
from selenium.webdriver.common.by import By
def tongji():
prices = []
with open('前十页销量和金额.csv', 'r', encoding='utf-8', newline='') as f:
fieldnames = ['价格', '销量', '店铺位置']
reader = csv.DictReader(f, fieldnames=fieldnames)
for index, i in enumerate(reader):
if index != 0:
price = float(i['价格'].replace('¥', ''))
prices.append(price)
DATAS = {'<10': 0, '10~30': 0, '30~50': 0,
'50~70': 0, '70~90': 0, '90~110': 0,
'110~130': 0, '130~150': 0, '150~170': 0, '170~200': 0, }
for price in prices:
if price < 10:
DATAS['<10'] += 1
elif 10 <= price < 30:
DATAS['10~30'] += 1
elif 30 <= price < 50:
DATAS['30~50'] += 1
elif 50 <= price < 70:
DATAS['50~70'] += 1
elif 70 <= price < 90:
DATAS['70~90'] += 1
elif 90 <= price < 110:
DATAS['90~110'] += 1
elif 110 <= price < 130:
DATAS['110~130'] += 1
elif 130 <= price < 150:
DATAS['130~150'] += 1
elif 150 <= price < 170:
DATAS['150~170'] += 1
elif 170 <= price < 200:
DATAS['170~200'] += 1
for k, v in DATAS.items():
print(k, ':', v)
def get_the_top_10(url):
top_ten = []
# 获取代理
ip = zhima1()[2][random.randint(0, 399)]
# 运行quicker动作(可以不用管)
os.system('"C:\Program Files\Quicker\QuickerStarter.exe" runaction:5e3abcd2-9271-47b6-8eaf-3e7c8f4935d8')
options = webdriver.ChromeOptions()
# 远程调试Chrome
options.add_experimental_option('debuggerAddress', '127.0.0.1:9222')
options.add_argument(f'--proxy-server={ip}')
driver = webdriver.Chrome(options=options)
# 隐式等待
driver.implicitly_wait(3)
# 打开网页
driver.get(url)
# 点击部分文字包含'销量'的网页元素
driver.find_element(By.PARTIAL_LINK_TEXT, '销量').click()
time.sleep(1)
# 页面滑动到最下方
driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
time.sleep(1)
# 查找元素
element = driver.find_element(By.ID, 'mainsrp-itemlist').find_element(By.XPATH, './/div[@class="items"]')
items = element.find_elements(By.XPATH, './/div[@data-category="auctions"]')
for index, item in enumerate(items):
if index == 10:
break
# 查找元素
price = item.find_element(By.XPATH, './div[2]/div[1]/div[contains(@class,"price")]').text
paid_num_data = item.find_element(By.XPATH, './div[2]/div[1]/div[@class="deal-cnt"]').text
store_location = item.find_element(By.XPATH, './div[2]/div[3]/div[@class="location"]').text
store_href = item.find_element(By.XPATH, './div[2]/div[@class="row row-2 title"]/a').get_attribute(
'href').strip()
# 将数据添加到字典
top_ten.append(
{'价格': price,
'销量': paid_num_data,
'店铺位置': store_location,
'店铺链接': store_href
})
for i in top_ten:
print(i)
def get_top_10_comments(url):
with open('排名前十评价.txt', 'w+', encoding='utf-8') as f:
pass
# ip = ipidea()[1]
os.system('"C:\Program Files\Quicker\QuickerStarter.exe" runaction:5e3abcd2-9271-47b6-8eaf-3e7c8f4935d8')
options = webdriver.ChromeOptions()
options.add_experimental_option('debuggerAddress', '127.0.0.1:9222')
# options.add_argument(f'--proxy-server={ip}')
driver = webdriver.Chrome(options=options)
driver.implicitly_wait(3)
driver.get(url)
driver.find_element(By.PARTIAL_LINK_TEXT, '销量').click()
time.sleep(1)
element = driver.find_element(By.ID, 'mainsrp-itemlist').find_element(By.XPATH, './/div[@class="items"]')
items = element.find_elements(By.XPATH, './/div[@data-category="auctions"]')
original_handle = driver.current_window_handle
item_hrefs = []
# 先获取前十的链接
for index, item in enumerate(items):
if index == 10:
break
item_hrefs.append(
item.find_element(By.XPATH, './/div[2]/div[@class="row row-2 title"]/a').get_attribute('href').strip())
# 爬取前十每个商品评价
for item_href in item_hrefs:
# 打开新标签
# item_href = 'https://item.taobao.com/item.htm?id=523351391646&ns=1&abbucket=11#detail'
driver.execute_script(f'window.open("{item_href}")')
# 切换过去
handles = driver.window_handles
driver.switch_to.window(handles[-1])
# 页面向下滑动一部分,直到让评价那两个字显示出来
try:
driver.find_element(By.PARTIAL_LINK_TEXT, '评价').click()
except Exception as e1:
try:
x = driver.find_element(By.PARTIAL_LINK_TEXT, '评价').location_once_scrolled_into_view
driver.find_element(By.PARTIAL_LINK_TEXT, '评价').click()
except Exception as e2:
try:
# 先向下滑动100,放置评价2个字没显示在屏幕内
driver.execute_script('var q=document.documentElement.scrollTop=100')
x = driver.find_element(By.PARTIAL_LINK_TEXT, '评价').location_once_scrolled_into_view
except Exception as e3:
driver.find_element(By.XPATH, '/html/body/div[6]/div/div[3]/div[2]/div/div[2]/ul/li[2]/a').click()
time.sleep(1)
try:
trs = driver.find_elements(By.XPATH, '//div[@class="rate-grid"]/table/tbody/tr')
for index, tr in enumerate(trs):
if index == 0:
comments = tr.find_element(By.XPATH, './td[1]/div[1]/div/div').text.strip()
else:
try:
comments = tr.find_element(By.XPATH,
'./td[1]/div[1]/div[@class="tm-rate-fulltxt"]').text.strip()
except Exception as e:
comments = tr.find_element(By.XPATH,
'./td[1]/div[1]/div[@class="tm-rate-content"]/div[@class="tm-rate-fulltxt"]').text.strip()
with open('排名前十评价.txt', 'a+', encoding='utf-8') as f:
f.write(comments + '\n')
print(comments)
except Exception as e:
lis = driver.find_elements(By.XPATH, '//div[@class="J_KgRate_MainReviews"]/div[@class="tb-revbd"]/ul/li')
for li in lis:
comments = li.find_element(By.XPATH, './div[2]/div/div[1]').text.strip()
with open('排名前十评价.txt', 'a+', encoding='utf-8') as f:
f.write(comments + '\n')
print(comments)
def get_top_10_comments_wordcloud():
file = '排名前十评价.txt'
f = open(file, encoding='utf-8')
txt = f.read()
f.close()
w = wordcloud.WordCloud(width=1000,
height=700,
background_color='white',
font_path='msyh.ttc')
# 创建词云对象,并设置生成图片的属性
w.generate(txt)
name = file.replace('.txt', '')
w.to_file(name + '词云.png')
os.startfile(name + '词云.png')
def get_10_pages_datas():
with open('前十页销量和金额.csv', 'w+', encoding='utf-8', newline='') as f:
f.write('\ufeff')
fieldnames = ['价格', '销量', '店铺位置']
writer = csv.DictWriter(f, fieldnames=fieldnames)
writer.writeheader()
infos = []
options = webdriver.ChromeOptions()
options.add_experimental_option('debuggerAddress', '127.0.0.1:9222')
# options.add_argument(f'--proxy-server={ip}')
driver = webdriver.Chrome(options=options)
driver.implicitly_wait(3)
driver.get(url)
# driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
element = driver.find_element(By.ID, 'mainsrp-itemlist').find_element(By.XPATH, './/div[@class="items"]')
items = element.find_elements(By.XPATH, './/div[@data-category="auctions"]')
for index, item in enumerate(items):
price = item.find_element(By.XPATH, './div[2]/div[1]/div[contains(@class,"price")]').text
paid_num_data = item.find_element(By.XPATH, './div[2]/div[1]/div[@class="deal-cnt"]').text
store_location = item.find_element(By.XPATH, './div[2]/div[3]/div[@class="location"]').text
infos.append(
{'价格': price,
'销量': paid_num_data,
'店铺位置': store_location})
try:
driver.find_element(By.PARTIAL_LINK_TEXT, '下一').click()
except Exception as e:
driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
driver.find_element(By.PARTIAL_LINK_TEXT, '下一').click()
for i in range(9):
time.sleep(1)
driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
element = driver.find_element(By.ID, 'mainsrp-itemlist').find_element(By.XPATH, './/div[@class="items"]')
items = element.find_elements(By.XPATH, './/div[@data-category="auctions"]')
for index, item in enumerate(items):
try:
price = item.find_element(By.XPATH, './div[2]/div[1]/div[contains(@class,"price")]').text
except Exception:
time.sleep(1)
driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
price = item.find_element(By.XPATH, './div[2]/div[1]/div[contains(@class,"price")]').text
paid_num_data = item.find_element(By.XPATH, './div[2]/div[1]/div[@class="deal-cnt"]').text
store_location = item.find_element(By.XPATH, './div[2]/div[3]/div[@class="location"]').text
infos.append(
{'价格': price,
'销量': paid_num_data,
'店铺位置': store_location})
try:
driver.find_element(By.PARTIAL_LINK_TEXT, '下一').click()
except Exception as e:
driver.execute_script('window.scrollTo(0,document.body.scrollHeight)')
driver.find_element(By.PARTIAL_LINK_TEXT, '下一').click()
# 一页结束
for info in infos:
print(info)
with open('前十页销量和金额.csv', 'a+', encoding='utf-8', newline='') as f:
fieldnames = ['价格', '销量', '店铺位置']
writer = csv.DictWriter(f, fieldnames=fieldnames)
for info in infos:
writer.writerow(info)
if __name__ == '__main__':
url = 'https://s.taobao.com/search?q=%E5%B0%8F%E9%B1%BC%E9%9B%B6%E9%A3%9F&imgfile=&commend=all&ssid=s5-e&search_type=item&sourceId=tb.index&spm=a21bo.21814703.201856-taobao-item.1&ie=utf8&initiative_id=tbindexz_20170306&bcoffset=4&ntoffset=4&p4ppushleft=2%2C48&s=0'
# get_10_pages_datas()
# tongji()
# get_the_top_10(url)
# get_top_10_comments(url)
get_top_10_comments_wordcloud()
原文链接:blog.csdn.net/zhiguigu/article/details/120061978
文章转载:Python编程学习圈
(版权归原作者所有,侵删)
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