python淘宝商品信息爬取2020

最新推荐文章于 2024-12-13 17:19:25 发布

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最新推荐文章于 2024-12-13 17:19:25 发布

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分类专栏： python 数据分析

本文链接：https://blog.youkuaiyun.com/libizhide/article/details/111993614

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前言:最近要做淘宝的信息爬取，用来完成期末作业，发现淘宝的反爬机制挺强的，试了多种方法，最后终于完成，使用了正则匹配与字符串查找两种方法.

！！！郑重证明：本教程仅用作学习交流，请勿用作商业盈利，违者后果自负！如本文有侵犯任何组织集团公司的隐私或利益，请告知联系删除！！！

首先来看看淘宝搜索的URL:
f"http://s.taobao.com/search?q={key}&ie=utf8&s={i*44}"
其中key表示搜索内容不支持中文，需要转化为utf-8的‘%’分割格式
其中i代表第几页

url中文转换：

key = input("输入查询内容>>>\n")
keyCopy = key
key = str(key.encode("utf-8")).split('\'')[1]
key = key.replace("\\x", "%", -1)

登陆淘宝ctrl+u查看源码，发现所有信息都保存在了一个json文件中：

得到这些内容很简单：

soup = BeautifulSoup(html, 'lxml', exclude_encodings="utf-8")
html = str(soup.select("head>script"))

之后就可以对json文件进行分析了:
①用正则匹配
②用字符串分割split+字符串查找find
具体不做赘述，见下方源码，至于怎么来的，自己看看json文件内容便是

正则匹配

用到的库:

import pandas as pd
import urllib.request
import lxml
#import pymongo#需要保存到mongoDB,就把下面mongoDB用到的代码取消注释

完全代码:

import re
import time
import random
import pandas as pd
import urllib.request
#import pymongo
# 正则规则
r_title = '"raw_title":"(.*?)"'  # 标题
r_location = '"item_loc":"(.*?)"'  # 销售地
r_sale = '"view_sales":"(.*?)人付款"'  # 销售量
r_price = '"view_price":"(.*?)"'  # 销售价格
r_nid = '"nid":"(.*?)"'  # 商品ID
r_img = '"pic_url":"(.*?)"'  # 图片URL
r_store = '"nick":"(.*?)"'  # 店铺
# 纪录总条数
countFile = 0
countAll = 0
# 数据整理并插入mongodb数据库中


def sharp(html=""):
    global countAll, countFile
    data = []
    countS = 0
    # 正则匹配
    title = re.findall(r_title, html)
    location = re.findall(r_location, html)
    sale = re.findall(r_sale, html)
    price = re.findall(r_price, html)
    nid = re.findall(r_nid, html)
    img = re.findall(r_img, html)
    store = re.findall(r_store, html)
    # 匹配失败
    if len(title) == 0:
        print("整理失败，已被淘宝反爬，请更新headers...")
        exit(0)
    # 匹配成功
    for j in range(len(title)):
        data.append([nid[j], img[j], price[j], sale[j],
                     title[j], store[j], location[j]])
    # 拷贝
    dataCopy = data.copy()
    # 保存到csv中
    data = pd.DataFrame(
        data, columns=['_id', 'image', 'price', 'deal', 'title', 'shop', 'location'])
    key = "temp"
    data.to_csv(f'{key}{countFile}.csv', encoding='gbk', index=False)
    countFile += 1
    '''
    print("整理成功，正在插入数据...")
    # 将数据写到mongoDB中
    for i in dataCopy:
        count = 0
        tempDict = {'_id': "", 'image': "", 'price': "",
                    'deal': "", 'title': "", 'shop': "", 'location': ""}
        for j in tempDict:
            if count == 2:
                tempDict[j] = "￥"+i[count]
            else:
                tempDict[j] = i[count]
            count += 1
        try:
            mycol.insert(tempDict)
            countS += 1
        except:
            pass
    countAll += countS
    print(f"本次一共插入{countS}条数据...")
    '''


# 连接数据库
'''
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["taobao"]
mycol = mydb["meishi"]
'''


# 以下headers来自自己的浏览器
# headers格式化工具：https://curl.trillworks.com/
headers = {
，###本部分需用自己的headers###
}
key = input("输入查询内容>>>\n")
keyCopy = key
# 转化中文字符串
key = str(key.encode("utf-8")).split('\'')[1]
key = key.replace("\\x", "%", -1)
count = int(input("爬取页数(一页有48条数据,建议爬取一页,淘宝反爬机制强大,一天不要爬取太多)>>>\n"))
for i in range(count):
    # 发送请求，得到html文本
    url = f"http://s.taobao.com/search?q={key}&ie=utf8&s={i*44}"
    request = urllib.request.Request(url, headers=headers)
    response = urllib.request.urlopen(request)
    html = response.read().decode('utf-8')
    print("正在整理数据...")
    sharp(html)
    if count > i+1:
        # 生成随机数，得到下一次爬取时间
        ranTemp = random.randint(4, 13)
        print(f"{ranTemp}秒后进行下一次爬取...")
        [[print(f"剩余{ranTemp-1-k}秒..."), time.sleep(1)]
         for k in range(ranTemp)]
print(f"一共爬取到{countAll}条数据...")

字符串方法

用到的库:

from bs4 import BeautifulSoup
import pandas as pd
import urllib.request
import lxml
#import pymongo#需要保存到mongoDB,就把下面mongoDB用到的代码取消注释

完全代码:


from bs4 import BeautifulSoup
import time
import random
import pandas as pd
import urllib.request
import pymongo
import sys

p_list = ['"pic_url":"', '"view_price":"', '"view_sales":"',
          '"raw_title":"',     '"nick":"', '"item_loc":"']
# 数据整理并插入mongodb数据库中
countAll = 0
'''
@func: 字符串截取函数
@return:后一个引号前的字符
@note:index必须前一个引号后一个序号
'''


def get_primary(a="", index=0):
    b = ""
    for i in range(index, len(a)):
        if a[i] != '"':
            b += a[i]
        else:
            return b


'''
@func: H5查找函数，输入html文本
@return:None
@note:如果被反爬了会自动退出
'''


def findH(html=""):
    global countAll
    countS = 0
    data = []
    soup = BeautifulSoup(html, 'lxml', exclude_encodings="utf-8")
    html = str(soup.select("head>script"))
    if html == "":
        print("整理失败，已被淘宝反爬，请更新headers!!!")
        exit(0)
    html = str(html).split('"nid":"')
    for i in html:
        temp = []
        temp.append(get_primary(i, 0))
        for j in p_list:
            index = i.find(j)
            if index == -1:
                break
            else:
                temp.append(get_primary(i, len(j)+index))
            if j == '"item_loc":"':
                data.append(temp)
    dataCopy = data.copy()
    data = pd.DataFrame(
        data, columns=['_id', 'image', 'price', 'deal', 'title', 'shop', 'location'])
    key = "tempp"
    data.to_csv('%s.csv' % key, encoding='utf-8', index=False)
    '''
    print("整理成功，正在插入数据...")
    for i in dataCopy:
        count = 0
        tempDict = {'_id': "", 'image': "", 'price': "",
                    'deal': "", 'title': "", 'shop': "", 'location': ""}
        for j in tempDict:
            if count == 2:
                tempDict[j] = "￥"+i[count]
            else:
                tempDict[j] = i[count]
            count += 1
        try:
            mycol.insert(tempDict)
            countS += 1
        except:
            pass
    countAll += countS
    print(f"本次一共插入{countS}条数据!!!")
    '''


# 连接数据库
'''
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["taobao"]
mycol = mydb["meishi"]
'''


# 以下headers来自自己的浏览器
# headers格式化工具：https://curl.trillworks.com/
# 需用自己
headers = {
，###本部分需用自己的headers###
}

if __name__ == "__main__":
    key = input("输入查询内容>>>\n")
    keyCopy = key
    key = str(key.encode("utf-8")).split('\'')[1]
    key = key.replace("\\x", "%", -1)
    count = int(input("爬取页数(一页有48条数据,建议爬取一页,淘宝反爬机制强大,一天不要爬取太多)>>>\n"))
    for i in range(count):
        url = f"http://s.taobao.com/search?q={key}&ie=utf8&s={i*44}"
        request = urllib.request.Request(url, headers=headers)
        response = urllib.request.urlopen(request)
        html = response.read().decode('utf-8')
        print("\n正在整理数据...")
        findH(html)
        if count > i+1:
            ranTemp = random.randint(4, 13)
            print(f"{ranTemp}秒后进行下一次爬取...")
            [[print(f"\r剩余{ranTemp-1-k}秒...", end=""), sys.stdout.flush(), time.sleep(1)]
             for k in range(ranTemp)]
    print(f"\n一共爬取到{countAll}条数据!!!")