我们以腾讯社招页面来做演示：http://hr.tencent.com/position.php?&start=10#a

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使用BeautifuSoup4解析器，将招聘网页上的职位名称、职位类别、招聘人数、工作地点、发布时间，以及每个职位详情的点击链接存储出来。
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bs4_tencent.py

    from bs4 import BeautifulSoup
    import urllib2
    import urllib
    import json    # 使用了json格式存储

    def tencent():
        url = 'http://hr.tencent.com/'
        request = urllib2.Request(url + 'position.php?&start=10#a')
        response =urllib2.urlopen(request)
        resHtml = response.read()

        output =open('tencent.json','w')

        html = BeautifulSoup(resHtml,'lxml')

    # 创建CSS选择器
        result = html.select('tr[class="even"]')
        result2 = html.select('tr[class="odd"]')
        result += result2

        items = []
        for site in result:
            item = {}

            name = site.select('td a')[0].get_text()
            detailLink = site.select('td a')[0].attrs['href']
            catalog = site.select('td')[1].get_text()
            recruitNumber = site.select('td')[2].get_text()
            workLocation = site.select('td')[3].get_text()
            publishTime = site.select('td')[4].get_text()

            item['name'] = name
            item['detailLink'] = url + detailLink
            item['catalog'] = catalog
            item['recruitNumber'] = recruitNumber
            item['publishTime'] = publishTime

            items.append(item)

        # 禁用ascii编码，按utf-8编码
        line = json.dumps(items,ensure_ascii=False)

        output.write(line.encode('utf-8'))
        output.close()

    if __name__ == "__main__":
       tencent()