百度贴吧用户爬虫

    这里随便选取一个贴吧(python),进入会员页面，抓取会员信息，包括用户名、昵称、最近常逛的贴吧名，吧龄、发帖数

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items.py

class TiebaUserItem(scrapy.Item):
    # define the fields for your item here like:
    # name = scrapy.Field()
    nickname = scrapy.Field()
    username = scrapy.Field()
    attention = scrapy.Field()
    age = scrapy.Field()
    post_number = scrapy.Field()

---

    对于简单字段逻辑还是不难理解的，直接用srapy逐个获取就行，翻页也不难处理，这里如果想要抓取全部的关注贴吧名或者关注人、被关注人的话会涉及页面嵌套，比较复杂，下次更新的时候着重介绍，这里仅是简化版的基础信息抓取，看代码就能懂了。

spider.py

class TiebaSpiderSpider(scrapy.Spider):
    name = 'tieba_spider'
    allowed_domains = ['tieba.baidu.com']
    start_urls = ['http://tieba.baidu.com/bawu2/platform/listMemberInfo?word=python&pn=1']


    def parse(self, response):
        href_list = response.xpath('//span[starts-with(@class,"member")]/div/a/@href').extract()
        for href in href_list:
            yield scrapy.Request(url="http://tieba.baidu.com" + href, callback=self.parse_tag)
        next_link = response.xpath('//div[@class="tbui_pagination tbui_pagination_left"]/ul/li/a[@class="next_page"]/@href').extract()
        if next_link:
            next_link = next_link[0]
            yield scrapy.Request(url="http://tieba.baidu.com" + next_link, callback=self.parse)

    def parse_tag(self, response):
        item = TiebaUserItem()
        item['nickname'] = response.xpath('//div[@class="userinfo_title"]/span/text()').extract_first()
        if response.xpath('//div[@class="userinfo_userdata"]/span[@class="user_name"]/text()').extract_first():
            item['username'] = response.xpath('//div[@class="userinfo_userdata"]/span[@class="user_name"]/text()').extract_first()[4:]
        item['attention'] = response.xpath('//div[@class="ihome_forum_group ihome_section clearfix"]/div[@class="clearfix u-f-wrap"]/a//text()').extract()
        if response.xpath('//span[@class="user_name"]//span[2]/text()'):
            item['age'] = response.xpath('//span[@class="user_name"]//span[2]/text()').extract_first()[3:]

        if response.xpath('//span[@class="user_name"]//span[4]/text()'):
            item['post_number'] = response.xpath('//span[@class="user_name"]//span[4]/text()').extract_first()[3:]

        return item

• 更多爬虫代码详情查看Github

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