祥助，能否挖掘国际站下拉框的关键词？

用加本文的代码可以提取出来呢。

阿里国际站下拉框的关键词，一直是关键词拓展和长尾词收集的好地方，只要在搜索框中输入一个关键词，就可以通过搜索引擎的联想和买家历史搜索行为得到一批相关的关键词词。只要是搜索引擎，都有个小技巧，可瞬间提升上百倍的挖掘效率。并且通过实现后，完全可用于大规模关键词的批量挖掘。

捕获下拉框关键词

学习一种新运营技术姿势

一

简要说明

重要说明：

例如“利用搜索引擎过滤不相关词”，做百度SEO的领域，Z神（公号：SEO前线）就已经写过详细的逻辑；

例如“批量挖掘百度下拉框关键词”，张亚楠（公号：SEO技术流）就已经写过百度下拉框关键词的连爆挖掘方法；

（PS：连爆挖掘这个名字是我取的，显得屌炸天；好写文案）

一

课程

很多朋友阅读我最近的一个更新后，都对使用技术辅助来做阿里巴巴国际站运营的操作很感兴趣

课程内容：

挖掘阿里巴巴国际站运营课程：

在平时的工作中，大家也听说过通过手法提升工作效率的案例，国际站也不例外，通过使用代码，我们可以完成上述课程中的多种操作，省去手动统计的繁琐工作。

所以如果你是一个不甘于机械劳动的运营，想提升自己的外贸职场技能，学一下这门课程还是很不错的。

Tips：课程报名请加下图微信，白天上班不在线，晚上看到消息会及时回复的。

下面开始正文内容啦

捕获下拉框关键词

--------------------下拉框词捕获-入门版--------------------

一

捕获下拉框词

首先，在的中，可以获取到阿里国际站搜索下拉框提示的API地址：

https://connectkeyword.alibaba.com/lenoIframeJson.htm?iframe_delete=true&varname=intelSearchData&keyword=virgin%20hair&searchType=product_en&cateId=66030104&cookieId=&buckettest=&version=2&locale=en_US&callback=jQuery18304141310574479504_1587521207172&ctoken=fljdckmyq2oo&dmtrack_pageid=7060243a0bb57e7a5e9fa6b41719fa32d211bd8f94&_=1587521222417

具体代码实现如下：

def get_sug(word):
    url = 'https://connectkeyword.alibaba.com/lenoIframeJson.htm?iframe_delete=true&varname=intelSearchData&keyword=%s&searchType=product_en&cateId=66030104&cookieId=&buckettest=&version=2&locale=en_US&callback=jQuery18304141310574479504_1587521207172&ctoken=fljdckmyq2oo&dmtrack_pageid=7060243a0bb57e7a5e9fa6b41719fa32d211bd8f94&_=1587521222417' % word

    r = requests.get(url,timeout=10)   # 请求API接口，取消了HTTPS验证
    html = r.text   # 获取返回的内容
    # print(html)
    re_data=re.compile(r'keywords:\'(.*?)\'')
    for i in re.findall(re_data,html):
        print(i)

get_sug('virgin hair')

输出结果：

virgin hair
virgin hair bundles
virgin hair cuticle aligned hair
virgin hair ponytail
virgin hair extension
virgin hair wholesale 9a grade
virgin hair vendors paypal accept
virgin hair wigs
virgin hair dropshipping
virgin hair bundles with lace closure

--------------------进阶版--------------------

这里有个小技巧，就是在关键词后面输入w，会出现跟拼音以w开头的一系列联想关键词，比如“ hair w”，会出现“ hair   9a ”，” hair wigs“，“ hair ”等关键词。因此，当我们把a~z遍历一遍，会出现更多关键词。

升级后，代码实现如下：

def get_more_sug(word):
    all_words = []

    for i in 'abcdefghijklmnopqrstuvwxyz':  
        all_words += get_sug(word+' '+i)   # 遍历字母表 | 利用了上一个函数

    return list(set(all_words))   # 去重

print (get_more_sug('virgin hair'))

输入结果为：

['virgin hair packaging', 'virgin hair viet nam', 'virgin hair cream', 'virgin hair extensions free sample', 'virgin hair lace wig', 'virgin hair full lace vendors 10a', 'virgin hair serum', 'virgin hair double drawn', 'virgin hair packaging bags', 'virgin hair reviews', 'virgin hair silk top full lace wigs hidden knots', 'virgin hair clip in', 'virgin hair vendors 9a', 'virgin hair vietnam', 'virgin hair cuticle aligned hair', 'virgin hair indian wig', 'virgin hair vietnamese', 'virgin hair vendors paypal accept', 'virgin hair lots wholesale', 'virgin hair extensions 10a grade', 'virgin hair indian', 'virgin hair vendor factory prices', 'virgin hair body wave', 'virgin hair bundles paypal dropshipping', 'virgin hair lace frontal 13 by 6', 'virgin hair vender', 'virgin hair indian curly', 'virgin hair indian from india', 'virgin hair indonesia', 'virgin hair raw', 'virgin hair bundles 10a', 'virgin hair wholesale 9a grade', 'virgin hair filipino', 'virgin hair with closure', 'virgin hair extensions wigs', 'virgin hair wholesale suppliers uk', 'virgin hair eyelashes', 'virgin hair lace front wig', 'virgin hair double drawn clip', 'virgin hair free sample', 'virgin hair remy', 'virgin hair straight', 'virgin hair v part lace closure', 'virgin hair frontal', 'virgin hair weave', 'virgin hair guangdong china', 'virgin hair vendors 10a', 'virgin hair wigs', 'virgin hair treatment', 'virgin hair bundles', 'virgin hair packaging box', 'virgin hair lace wig vendors', 'virgin hair dropshipping', 'virgin hair with closure vendors', 'virgin hair extention packaging', 'virgin hair bundle with frontal', 'virgin hair raw unprocessed', 'virgin hair bundles brazilian', 'virgin hair removal cream', 'virgin hair russian blonde', 'virgin hair super double drawn', 'virgin hair wigs kosher', 'virgin hair toupee', 'virgin hair deep wave', 'virgin hair india wholesale', 'virgin hair indian extensions', 'virgin hair curly', 'virgin hair full lace platinum wigs', 'virgin hair promotion', 'virgin hair fantasy wigs', 'virgin hair fertilizer', 'virgin hair loose wave', 'virgin hair wholesale from temple', 'virgin hair full lace wigs 8a', 'virgin hair dubai', 'virgin hair ponytail', 'virgin hair extension brazilian', 'virgin hair vendors 10a process', 'virgin hair extension', 'virgin hair wholesale overseas', 'virgin hair bundles with lace closure', 'virgin hair steam processed', 'virgin hair cuticle align', 'virgin hair lace frontal', 'virgin hair bulk wholesale', 'virgin hair drawstring ponytail', 'virgin hair extension double weft', 'virgin hair extensions vendors', 'virgin hair wholesale 10a grade', 'virgin hair bundles straight', 'virgin hair cambodian hair', 'virgin hair paypal', 'virgin hair packaging satin bags', 'virgin hair cuticle aligned hair henan china', 'virgin hair clip ins', 'virgin hair silk base free part closure', 'virgin hair bundels', 'virgin hair lace', 'virgin hair extentions']

--------------------深度版--------------------

将上面的思路延展一下，如果在关键词后输入两个单词，就会出现以这2个字母为拼音开头的一系列关键词，比如“ hair wb”，会出现“ hair body wave”，“ hair bulk ”。因此，我们又做了升级。

def get_most_sug(word):
    all_words = []

    for i in 'abcdefghijklmnopqrstuvwxyz':
        for j in 'abcdefghijklmnopqrstuvwxyz':
            all_words += get_sug(word+' '+i+j)

    return list(set(all_words))   # 去重
print (get_most_sug('virgin hair'))