使用爬虫从主要电商网站快速批量下载产品详情图片

? ? ? ? 电商购物网站的产品详情面图片美观、漂亮，但是有些图片能正常下载，有些不能正常下载，需要通过页面代码进行查找。如果自己做电商要准备产品详情图片消耗人工和时间。博客页面已上传核心实现代码。所有爬虫代码已上传网盘，可以关注公众号【站在前沿】,回复product，获取网盘下载链接。有其它需求也可以在微信公众号留言。

? ? ? ? 近两天通过通过对京东、天猫和1688的产品详情页面的代码分析，使用python爬虫实现了批量下载产品详情图片的代码，主要使用的多线程和常用爬虫技术实现。程序代码主要实现功能是三个电商网站产品页面的宣传图片和详情页面图片的下载，可以快速批量下载所有产品详情图片，程序运行效果如下

1、京东产品详情页面代码分析

产品宣传图片

产品详情图片

2、天猫产品详情页面代码分析

token过期时间较短，运行代码产拷贝和替换新的Cookie

产品宣传图片

sign传入错误，会一直提示“非法请求”。

产品详情图片

3、1688产品详情页面代码分析

产品页面访问频繁，可能需要人工验证，可以等一段时间或替换新的Cookie

产品宣传图片

产品详情图片

4、部分核心代码

def down1688(url, savePath):
    headers = {
        'Cookie': '请拷贝浏览器的Cookie',
        'Referer': 'https://s.1688.com/',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'
    }
    res = until.getResText(url, headers)
    # print(res)
    if ('window.__INIT_DATA' not in res):
        logging.info('由于频繁访问网页，页面返回需要人工验证，可以等一段时间或者替换最新Cookie再试')
    jsonStr = re.findall('window.__INIT_DATA=(.*?)</script>', res, re.S)[0]
    # print(jsonStr)
    jsonData = json.loads(jsonStr)
    name = until.checkFileName(jsonData['data']['1081181309881']['data']['subject'])
    savePath = savePath + '\\' + name
    imagePath = savePath + '\\image'
    fileIndex = 1
    for img in jsonData['data']['1081181309881']['data']['offerImgList']:
        until.downBinFile(img, headers, imagePath,
                          str(fileIndex).zfill(2) + '.' + str(img).rsplit('.', 1)[1].split('?')[0])
        fileIndex = fileIndex + 1
    if (jsonData['data']['1081181309881']['data']['video']['videoId'] != 0):
        videoPath = savePath + '\\video'
        downUrl = jsonData['data']['1081181309881']['data']['video']['coverUrl']
        until.downBinFile(downUrl, headers, videoPath, 'img.' + str(downUrl).rsplit('.', 1)[1])
        downUrl = jsonData['data']['1081181309881']['data']['video']['videoUrl']
        until.downBinFile(downUrl, headers, videoPath, 'video.' + str(downUrl).rsplit('.', 1)[1])
    # 开始获取产品详情图片
    detail = until.getResText(jsonData['data']['1081181309894']['data']['detailUrl'], headers)
    # print(detail)
    pattern = r'offer_details={"content":"(.*?)"};'
    html = re.findall(pattern, detail, re.S)[0]
    soup = BeautifulSoup(html, "html.parser")
    details = soup.select("img")
    detailPath = savePath + '\\detail'
    fileIndex = 1
    for img in details:
        imgUrl = img["src"].replace('\\', '').replace('"', '').strip('/')
        until.downBinFile(imgUrl, headers, detailPath,
                          str(fileIndex).zfill(2) + '.' + str(imgUrl).rsplit('.', 1)[1].split('?')[0])
        fileIndex = fileIndex + 1
        # print(imgUrl)
    logging.info('产品【' + name + '】详情图片下载完成')
    time.sleep(1)

def downJd(url, savePath):
    headers = {
        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'Accept-Encoding': 'gzip, deflate, br',
        'Accept-Language': 'zh-CN,zh;q=0.9',
        'Cache-Control': 'no-cache',
        'Cookie': '请拷贝浏览器的Cookie',
        'Pragma': 'no-cache',
        'Referer': 'https://search.jd.com/',
        'Sec-Ch-Ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
        'Sec-Ch-Ua-Mobile': '?0',
        'Sec-Ch-Ua-Platform': '"Windows"',
        'Sec-Fetch-Dest': 'document',
        'Sec-Fetch-Mode': 'navigate',
        'Sec-Fetch-Site': 'same-site',
        '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/119.0.0.0 Safari/537.36'
    }
    res = until.getResText(url, headers)
    # print(res)
    imgList = re.findall('imageList: (.*?)],', res)[0]
    imgList = imgList.replace('"', '').lstrip('[').split(',')
    # print(imgList)
    name = until.checkFileName(re.findall(r'name: \'(.*?)\',', res)[0])
    savePath = savePath + '\\' + name
    imagePath = savePath + '\\image'
    fileIndex = 1
    for img in imgList:
        img = img.replace('.avif', '')
        imgUrl = 'https://img10.360buyimg.com/n1/s450x450_' + img
        imgBigUrl = 'https://img14.360buyimg.com/n0/' + img
        until.downBinFile(imgUrl, headers, imagePath,
                          str(fileIndex).zfill(2) + '.' + str(img).rsplit('.', 1)[1].split('?')[0])
        until.downBinFile(imgBigUrl, headers, imagePath,
                          'big' + str(fileIndex).zfill(2) + '.' + str(img).rsplit('.', 1)[1].split('?')[0])
        fileIndex = fileIndex + 1
    # 获取详情图片
    mainSkuId = re.findall('mainSkuId:\'(.*?)\',', res)[0]
    skuId = re.findall('data-sku=\"(.*?)\"', res)[0]
    # print(mainSkuId,skuId)
    data = {
        'appid': 'item-v3',
        'functionId': 'pc_description_channel',
        'skuId': '10034368015519',
        'mainSkuId': '10021308737006',
        'charset': 'utf-8',
        'cdn': '2',
        'callback': 'showdesc'
    }
    data['mainSkuId'] = mainSkuId
    data['skuId'] = skuId
    detailApi = 'https://api.m.jd.com/description/channel'
    detailRes = until.getResText3(detailApi, headers, data)
    # print(detailRes)
    detailList = re.findall(r'data-lazyload=\\"(.*?)\\"', detailRes, re.S)
    if (len(detailList) == 0):
        detailList = re.findall(r'background-image:url\((.*?)\);', detailRes, re.S)
    detailPath = savePath + '\\detail'
    fileIndex = 1
    for detail in detailList:
        if (detail[0:4] != 'http'):
            detail = 'https:' + detail
        until.downBinFile(detail, headers, detailPath,
                          str(fileIndex).zfill(2) + '.' + str(detail).rsplit('.', 1)[1].split('?')[0])
        fileIndex = fileIndex + 1
        # print(detail)
    logging.info('产品【' + name + '】详情图片下载完成')

所有爬虫代码已上传网盘，可以关注公众号【站在前沿】,回复product，获取网盘下载链接。有其它需求也可以在微信公众号留言。