Python实现批量采集商品数据的示例详解

import json
import random
import time
import csv
import requests
import re
import pyMysql

# 连接数据库
def save_sql(title, pic_url, detail_url, view_price, item_loc, view_sales, nick):
    count = pymysql.connect(
        host='xxx.xxx.xxx.xxx',  # 数据库地址
        port=3306,  # 数据库端口
        user='xxxx',  # 数据库账号
        passWord='xxxx',  # 数据库密码
        db='xxxx'  # 数据库表名
    )
    # 创建数据库对象
    db = count.cursor()
    # 写入sql
    sql = f"insert into Goods(title, pic_url, detail_url, view_price, item_loc, view_sales, nick) values ('{title}', '{pic_url}', '{detail_url}', {view_price}, '{item_loc}', '{view_sales}', '{nick}')"
    # 执行sql
    db.execute(sql)
    # 保存修改内容
    count.commit()
    db.close()

headers = {
    'cookie': 'miid=4137864361077413341; tracknick=%5Cu5218%5Cu6587%5Cu9F9978083283; thw=cn; hng=CN%7Czh-CN%7CCNY%7C156; cna=MNI4GicXYTQCAa8APqlAWWiS; enc=%2FWC5TlhZCGfEq7Zm4Y7wyNToESfZVxhucOmHkanuKyUkH1YNHBFXacrDRNdCFeeY9y5ztSufV535NI0AkjeX4g%3D%3D; t=ad15767ffa6febb4d2a8709edebf63d3; lGC=%5Cu5218%5Cu6587%5Cu9F9978083283; sgcookie=E100EcWpAN49d4Uc3MkldEc205AxRTa81RfV4IC8X8yOM08mjVtdhtulkYwYybKSRnCaLHGsk1mJ6lMa1TO3vTFmr7MTW3mHm92jAsN%2BOA528auARfjf2rnOV%2Bx25dm%2BYC6l; uc3=nk2=ogczBg70hCZ6AbZiWjM%3D&vt3=F8dCvCogB1%2F5Sh1kqHY%3D&lg2=Vq8l%2BKCLz3%2F65A%3D%3D&id2=UNGWOjVj4Vjzwg%3D%3D; uc4=nk4=0%40oAWoex2a2MA2%2F2I%2FjFnivZpTtTp%2F2YKSTg%3D%3D&id4=0%40UgbuMZOge7ar3lxd0xayM%2BsqyxOW; _cc_=W5iHLLyFfA%3D%3D; _m_h5_tk=ac589fc01c86be5353b640607e791528_1647451667088; _m_h5_tk_enc=7d452e4e140345814d5748c3e31fc355; xlly_s=1; x5sec=7b227365617263686170703b32223a223264393234316334363365353038663531353163633366363036346635356431434c61583635454745506163324f2f6b2b2b4b6166686f4d4d7a45774e7a4d794d6a59324e4473784d4b6546677037382f2f2f2f2f77453d227d; JSESSioNID=1F7E942AC30122D1C7DBA22C429521B9; tfstk=cKKGBRTY1F71aDbHPcs6LYjFVa0dZV2F6iSeY3hEAYkCuZxFizaUz1sbK1hS_r1..; l=eBEVp-O4gnqzSzLbBOfwnurza77OIIRAguPzaNbMiocPO75p5zbNW60wl4L9CnGVhsTMR3lRBzU9BeYBqo44n5U62j-la1Hmn; isg=BDw8SnVxcvXZcEU4ugf-vTaDDDruNeBfG0WXdBa9WicK4dxrPkd97hHTxQmZqRi3',
    'referer': 'https://s.taobao.com/search?q=%E4%B8%9D%E8%A2%9C&imgfile=&js=1&stats_click=search_radio_all%3A1&initiative_id=staobaoz_20220323&ie=utf8&bcoffset=1&ntoffset=1&p4ppushleft=2%2C48&s=',
    'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="99", "Google Chrome";v="99"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platfORM': '"windows"',
    'sec-fetch-dest': 'document',
    'sec-fetch-mode': 'navigate',
    'sec-fetch-site': 'same-origin',
    'sec-fetch-user': '?1',
    'upgrade-insecure-requests': '1',
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWEBKit/537.36 (Khtml, like Gecko) Chrome/99.0.4844.82 Safari/537.36',
}
with open('淘宝.csv', mode='a', encoding='utf-8', newline='') as f:
    csv_writer = csv.writer(f)
    csv_writer.writerow(['title', 'pic_url', 'detail_url', 'view_price', 'item_loc', 'view_sales', 'nick'])

for page in range(1, 101):
    url = f'Https://s.taobao.com/search?q=%E4%B8%9D%E8%A2%9C&imgfile=&js=1&stats_click=search_radio_all%3A1&initiative_id=staobaoz_20220323&ie=utf8&bcoffset=1&ntoffset=1&p4ppushleft=2%2C48&s={44*page}'
    response = requests.get(url=url, headers=headers)
    json_str = re.findall('g_page_config = (.*);', response.text)[0]
    json_data = json.loads(json_str)
    auctions = json_data['mods']['itemlist']['data']['auctions']
    for auction in auctions:
        try:
            title = auction['raw_title']
            pic_url = auction['pic_url']
            detail_url = auction['detail_url']
            view_price = auction['view_price']
            item_loc = auction['item_loc']
            view_sales = auction['view_sales']
            nick = auction['nick']
            print(title, pic_url, detail_url, view_price, item_loc, view_sales, nick)
            save_sql(title, pic_url, detail_url, view_price, item_loc, view_sales, nick)
            with open('淘宝.csv', mode='a', encoding='utf-8', newline='') as f:
                csv_writer = csv.writer(f)
                csv_writer.writerow([title, pic_url, detail_url, view_price, item_loc, view_sales, nick])
        except:
            pass
    time.sleep(random.randint(3, 5))