Python實現(xiàn)批量采集商品數(shù)據(jù)的示例詳解

更新時間：2022年03月29日 17:02:46 作者：魔王不會哭

這篇文章主要為大家詳細介紹了如何利用Python實現(xiàn)批量采集商品的數(shù)據(jù)，文中的示例代碼講解詳細，具有一定的參考價值，感興趣的小伙伴們可以參考一下

本次目的

python批量采集某商品數(shù)據(jù)

知識點

requests 發(fā)送請求

re 解析網頁數(shù)據(jù)

json 類型數(shù)據(jù)提取

csv 表格數(shù)據(jù)保存

開發(fā)環(huán)境

python 3.8

pycharm

requests

代碼

導入模塊

import json
import random
import time
import csv
import requests
import re
import pymysql

核心代碼

# 連接數(shù)據(jù)庫
def save_sql(title, pic_url, detail_url, view_price, item_loc, view_sales, nick):
    count = pymysql.connect(
        host='xxx.xxx.xxx.xxx',  # 數(shù)據(jù)庫地址
        port=3306,  # 數(shù)據(jù)庫端口
        user='xxxx',  # 數(shù)據(jù)庫賬號
        password='xxxx',  # 數(shù)據(jù)庫密碼
        db='xxxx'  # 數(shù)據(jù)庫表名
    )
    # 創(chuàng)建數(shù)據(jù)庫對象
    db = count.cursor()
    # 寫入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}')"
    # 執(zhí)行sql
    db.execute(sql)
    # 保存修改內容
    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('淘寶.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('淘寶.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))

效果展示

到此這篇關于Python實現(xiàn)批量采集商品數(shù)據(jù)的示例詳解的文章就介紹到這了,更多相關Python采集商品數(shù)據(jù)內容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家！

您可能感興趣的文章: