爬取智联岗位信息

本次使用开发环境python 3.6.5+Pycharm，当然此次代码仅供参考。
详细代码地址：我的github下载

1.目标站点网页源代码获取

由于使用Firefox浏览器，所以需要下载其驱动：geckodriver.exe，并设置该exe文件在win系统环境变量下。

def get_content(arcurl):
    browser = webdriver.Firefox()
    browser.get(arcurl)
    html = browser.page_source
    browser.close()
    return html

2.解析网页，获取所需数据

本次解析尝试使用beautifulsoup库，具体api可查询beautifulsoup官方文档，有详细阐述。

def parse_page_shezhao(html):
    #print(html)
    soup = BeautifulSoup(html, "lxml")
    message = []
    message_dict = []
    div_list = soup.select('#listContent > div')
    for div in div_list:
        messdict = {}
        div_infobox = div.select('div.listItemBox > div.infoBox')
        if len(div_infobox) > 0:
            nameBox = div_infobox[0].select('.nameBox > div.jobName')
            if len(nameBox) > 0:
                jobname = nameBox[0].get_text()
                job_link = nameBox[0].select('a')[0].attrs['href']
            companyBox = div_infobox[0].select('.nameBox > div.commpanyName')
            if len(companyBox) > 0:
                company_name = companyBox[0].get_text()
                company_link = companyBox[0].select('a')[0].attrs['href']
            jobDesc = div_infobox[0].select('.descBox > div.jobDesc')
            if len(jobDesc) > 0:
                jobadr = jobDesc[0].get_text()
            commpanyDesc = div_infobox[0].select('.descBox > div.commpanyDesc')
            if len(commpanyDesc) > 0:
                jobadr += " " + commpanyDesc[0].get_text()
            job_welfare = div_infobox[0].select('div > div.job_welfare > div')
            desc = ""
            for xvar in job_welfare:
                desc += xvar.get_text() + "; "
            commpanyStatus = div_infobox[0].select('div > div.commpanyStatus')
            desc += "【" + commpanyStatus[0].get_text() + "】"
        messdict['职位链接'] = job_link
        messdict['职位']=jobname
        messdict['公司'] = jobname
        messdict['公司链接'] = company_name
        messdict['相关性质'] = jobadr
        messdict['职责描述'] = desc
        message.append([job_link, jobname, company_name, company_link, jobadr, desc])
        message_dict.append(messdict)
    return message, message_dict

3.保存数据至文件

第一种，保存至csv文件，需要pip3 install csv。

def write_csv_headers(path, headers):
    with open(path, 'a', encoding='gb18030', newline='') as f:
        f_csv = csv.DictWriter(f, headers)
        f_csv.writeheader()

def write_csv_rows(path, headers, rows):
   '''
   写入行
   '''
   with open(path, 'a', encoding='gb18030', newline='') as f:
       f_csv = csv.DictWriter(f, headers)
       f_csv.writerows(rows)

def csv_write(csv_name, headers, html):
    write_csv_headers(csv_name, headers)
    items, others = parse_page_shezhao(html)
    write_csv_rows(csv_name, headers, others)

第二种，保存至xls文件，即Excel文件，需要pip3 install xlwt。

def excel_write(filename, html):
    # 创建excel文件，声明编码为utf-8
    wb = xlwt.Workbook(encoding='utf-8')
    # 创建表格
    ws = wb.add_sheet('sheet1')
    # 表头信息
    headData = ['LINK_URL', '职位', '公司', '公司链接', '相关性质', '职责描述']
    # 写入表头信息
    for colnum in range(0, len(headData)):
        ws.write(0, colnum, headData[colnum], xlwt.easyxf('font: bold on'))
    # 从第2行开始写入
    index = 1
    #for item in parse_page(html):
    items, others = parse_page_shezhao(html)
    for item in items:
        print(item)
        for i in range(0, len(headData)):
            # .write（行，列，数据）
            ws.write(index, i, item[i])
        index += 1
    # 保存excel
    wb.save(filename)

4.main

def main():
    url = input("请输入URL：\n")
    filename = input("请输入存储文件名：\n")

    html = get_content(url)

    csv_name = filename + '.csv'
    headers = ['职位链接', '职位', '公司', '公司链接', '相关性质', '职责描述']
    csv_write(csv_name, headers, html)

    excel_name = filename + ".xls"
    #excel_write("智联招聘岗位爬虫结果.xls", html)
    excel_write(excel_name, html)

5.成果展示

执行文件，输入url和存储文件名：

本次测试url：https://sou.zhaopin.com/?pageSize=60&jl=765&sf=10001&st=15000&kw=java&kt=3&=10001
本次测试文件名：java岗位信息表

输出结果：