网页抓取 returns 个 None 列表

Question

import requests
from bs4 import BeautifulSoup
import csv
from itertools import zip_longest

job_title = []
company_name = []
location_name = []
job_skill = []
links = []
salary = []


result = requests.get("https://wuzzuf.net/search/jobs/?q=python%5C&a=hpb")
source = result.content
soup = BeautifulSoup(source, "lxml")

job_titles = soup.find_all("h2", {"class": "css-m604qf"})
company_names = soup.find_all("a", {"class": "css-17s97q8"})
location_names = soup.find_all("span", {"class": "css-5wys0k"})
job_skills = soup.find_all("div", {"class": "css-y4udm8"})

for i in range(len(job_titles)):
    job_title.append(job_titles[i].text)
    links.append("https://wuzzuf.net" + job_titles[i].find("a").attrs["href"])
    company_name.append(company_names[i].text)
    location_name.append(location_names[i].text)
    job_skill.append(job_skills[i].text)

for link in links:
    result = requests.get(link)
    source = result.content
    soup = BeautifulSoup(source, "lxml")
    salaries = soup.find("span", {"class": "css-4xky9y"})
    salary.append(salaries)

file_list = [job_title, company_name, location_name, job_skill, links, salary]
exported = zip_longest(*file_list)
with open("/Users/Rich/Desktop/JobTutorial.csv", "w") as myfile:
    writer = csv.writer(myfile)
    writer.writerow(["Job titles", "Company names", "Location names", "Job skills", "Links", "Salary"])
    writer.writerows(exported)
print(salary)

问题是 salary 函数 returns 什么都没有，当我将它的结果附加到一个名为 salary 的列表并打印出结果时，它打印了一个 Nones 的列表...

[None, None, None, None, None, None, None, None, None, None, None, None, None, None, None]

请大家帮帮我，感谢你们的帮助。

Answer 1

工资数据是动态生成的，如果你查看jobpost的来源code/Page来源（ctrl+U on chrome）你可以看到数据不是在 HTML 元素中。但它可以在 Wuzzuf.initialStoreState object

内的 <script> 标签下找到

现在您必须解析此 json 文件以获取作业详细信息数据。你可以使用正则表达式

这是一个工作代码，用于从该列表中解析单个作业的字典 -

link = "https://wuzzuf.net/jobs/p/jITGU1cOLq2S-Senior-Python-Developer-SURE-International-Technology-Cairo-Egypt"
result = requests.get(link,  headers=headers)
raw_data = re.compile(r'Wuzzuf.initialStoreState = (.*);').search(result.text)
job_details_dict = json.loads(raw_data.group(1).strip())
job_details_dict

示例输出 -

{'badges': {'landingPage': {'loading': False,
   'providers': None,
   'timestamp': None}},
 'browsingPage': {'sets': {}},
 'coaches': {'coachesContactUs': {}, 'coachesPartner': {}},
.................

现在你只需要从这个字典中解析你想要的数据（例如，薪水）

网页抓取 returns 个 None 列表

web scraping returns list of None

python

web-scraping