需求：智联上找工作的时候，工作地点在搜索页面只能看到城市-区。看不到具体的地址。（离家近的工作肯定优先考虑）思路：爬取搜索页面（页面一）然后进去其中一个内页，再爬工作地点（页面二），【废话】利用的库：re，csv，bs4，requests

基本功能已实现。下一步方向，调取地图api 计算离家距离。运算速度方面的话，可以考虑多线程处理。

以下代码拿来就用哈！

import requestsfrom bs4 import BeautifulSoupimport reimport csv

location = "广州"search = "网络工程师"fileName = location + "-" + search + ".csv"

with open(fileName, "w", newline="") as datacsv:    csvwriter = csv.writer(datacsv, dialect=("excel"))

    # res = requests.get("https://sou.zhaopin.com/jobs/searchresult.ashx?jl=%E4%BD%9B%E5%B1%B1&kw=%E7%BD%91%E7%BB%9C%E5%B7%A5%E7%A8%8B%E5%B8%88&sm=0&p=1")    Url = ("https://sou.zhaopin.com/jobs/searchresult.ashx?jl=%s&kw=%s&sm=0&p=1" % (location, search))    res = requests.get(Url)    res.encoding = 'utf-8'    soup = BeautifulSoup(res.text,'html.parser')    all_work = []

    for link in soup.find_all('a'):        if re.search("com/[0-9]*.htm",str(link.get('href'))):            all_work.append(link.get('href'))    for i in all_work:        work = []        res2 = requests.get(i)        res2.encoding = 'utf-8'        soup2 = BeautifulSoup(res2.text,'html.parser')        for z in soup2.find_all("h2"):            work.append((z.get_text()).split()[0])        work_list = str(soup2.get_text()).split()        work_list2 = []        count_y = 0        for y in work_list:            count_y +=1            if "职位月薪" in y:                work_list2 = work_list[count_y-1:count_y+6]                for xx in work_list2:                    work.append(xx)                csvwriter.writerow(work)                break    datacsv.close()