我使用的是beautifulSoup4,这是我的代码:
def extract(page):
url = f'https://www.jobstreet.com.my/en/job-search/personal-assistant-jobs/{page}/'
r = requests.get(url)
soup = BeautifulSoup(r.content,'html.parser')
return soup
def transform(soup):
divs = soup.find_all('div', class_ = 'sx2jih0 zcydq876 zcydq866 zcydq896 zcydq886 zcydq8n zcydq856 zcydq8f6 zcydq8eu')
for items in divs:
location = items.find('span', attrs={'class': 'sx2jih0 zcydq84u _18qlyvc0 _18qlyvc1x _18qlyvc3 _18qlyvc7'}).text.strip()
salary = items.find_next_sibling('span', attrs={'class': 'sx2jih0 zcydq84u _18qlyvc0 _18qlyvc1x _18qlyvc3 _18qlyvc7'}).text.strip()
两个span都有相同的类,但是当我取消时,两个结果是相同的。
通过find_all
获取所有的span,然后删除那些小于2个span的项目。然后从span列表中获取location
和salary
import requests
from bs4 import BeautifulSoup
def extract(page):
url = f'https://www.jobstreet.com.my/en/job-search/personal-assistant-jobs/{page}/'
r = requests.get(url)
soup = BeautifulSoup(r.content,'html.parser')
# transform
jobs = soup.find_all('div', class_ = 'sx2jih0 zcydq876 zcydq866 zcydq896 zcydq886 zcydq8n zcydq856 zcydq8f6 zcydq8eu')
data = []
for job in jobs[:100]:
items = job.find_all('span', attrs = {'class' : 'sx2jih0 zcydq84u _18qlyvc0 _18qlyvc1x _18qlyvc3 _18qlyvc7'})
if len(items) < 2:
continue
location = items[0].text.strip()
salary = items[1].text.strip()
data.append([location, salary])
return data
data = extract(1)
print(data)
尽量避免选择HTML中的动态部分,如类-当您仍然找出兄弟关系时,您可以使用find_next_sibling('span')
。
下面将只按标签选择,并检查是否有工资,以避免错误而刮掉整个工作,同时显示工资None
:
for item in soup.select('article'):
data.append({
'title': item.h1.text,
'location': item.h1.parent.next_sibling.text,
'salary': item.h1.parent.next_sibling.find_next_sibling('span').text if item.h1.parent.next_sibling.find_next_sibling('span') else None,
})
import requests
url = f'https://www.jobstreet.com.my/en/job-search/personal-assistant-jobs/1/'
r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser')
data=[]
for item in soup.select('article'):
data.append({
'title': item.h1.text,
'location': item.h1.parent.next_sibling.text,
'salary': item.h1.parent.next_sibling.find_next_sibling('span').text if item.h1.parent.next_sibling.find_next_sibling('span') else None,
})
data
import requests
url = f'https://www.jobstreet.com.my/en/job-search/personal-assistant-jobs/1/'
r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser')
data=[]
for item in soup.select('article'):
data.append({
'title': item.h1.text,
'location': item.h1.parent.next_sibling.text,
'salary': item.h1.parent.next_sibling.find_next_sibling('span').text if item.h1.parent.next_sibling.find_next_sibling('span') else None,
})
data
使用动态类并不是最好的主意。该网站使用api来搜索职位和图表。
import requests
import json
import pandas as pd
def foo(page, keyword):
url = "https://xapi.supercharge-srp.co/job-search/graphql?country=my&isSmartSearch=true"
payload = json.dumps({
"query": "query getJobs($country: String, $locale: String, $keyword: String, $createdAt: String, $jobFunctions: [Int], $categories: [String], $locations: [Int], $careerLevels: [Int], $minSalary: Int, $maxSalary: Int, $salaryType: Int, $candidateSalary: Int, $candidateSalaryCurrency: String, $datePosted: Int, $jobTypes: [Int], $workTypes: [String], $industries: [Int], $page: Int, $pageSize: Int, $companyId: String, $advertiserId: String, $userAgent: String, $accNums: Int, $subAccount: Int, $minEdu: Int, $maxEdu: Int, $edus: [Int], $minExp: Int, $maxExp: Int, $seo: String, $searchFields: String, $candidateId: ID, $isDesktop: Boolean, $isCompanySearch: Boolean, $sort: String, $sVi: String, $duplicates: String, $flight: String, $solVisitorId: String) {n jobs(n country: $countryn locale: $localen keyword: $keywordn createdAt: $createdAtn jobFunctions: $jobFunctionsn categories: $categoriesn locations: $locationsn careerLevels: $careerLevelsn minSalary: $minSalaryn maxSalary: $maxSalaryn salaryType: $salaryTypen candidateSalary: $candidateSalaryn candidateSalaryCurrency: $candidateSalaryCurrencyn datePosted: $datePostedn jobTypes: $jobTypesn workTypes: $workTypesn industries: $industriesn page: $pagen pageSize: $pageSizen companyId: $companyIdn advertiserId: $advertiserIdn userAgent: $userAgentn accNums: $accNumsn subAccount: $subAccountn minEdu: $minEdun edus: $edusn maxEdu: $maxEdun minExp: $minExpn maxExp: $maxExpn seo: $seon searchFields: $searchFieldsn candidateId: $candidateIdn isDesktop: $isDesktopn isCompanySearch: $isCompanySearchn sort: $sortn sVi: $sVin duplicates: $duplicatesn flight: $flightn solVisitorId: $solVisitorIdn ) {n totaln totalJobsn relatedSearchKeywords {n keywordsn typen totalJobsn }n solMetadatan suggestedEmployer {n namen totalJobsn }n queryParameters {n keyn searchFieldsn pageSizen }n experiments {n flightn }n jobs {n idn adTypen sourceCountryCoden isStandoutn companyMeta {n idn advertiserIdn isPrivaten namen logoUrln slugn }n jobTitlen jobUrln jobTitleSlugn descriptionn employmentTypes {n coden namen }n sellingPointsn locations {n coden namen slugn children {n coden namen slugn }n }n categories {n coden namen children {n coden namen }n }n postingDurationn postedAtn salaryRange {n currencyn maxn minn periodn termn }n salaryVisiblen bannerUrln isClassifiedn solMetadatan }n }n}n",
"variables": {
"keyword": keyword,
"jobFunctions": [],
"locations": [],
"salaryType": 1,
"jobTypes": [],
"createdAt": None,
"careerLevels": [],
"page": page,
"country": "my",
"categories": [],
"workTypes": [],
"userAgent": "Mozilla/5.0%20(Windows%20NT%2010.0;%20Win64;%20x64)%20AppleWebKit/537.36%20(KHTML,%20like%20Gecko)%20Chrome/100.0.4896.127%20Safari/537.36",
"industries": [],
"locale": "en"
}
})
headers = {
'accept': '*/*',
'content-type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
salary = "Not specified"
result = []
for job in (response.json()['data']['jobs']['jobs']):
locations = []
if job['salaryVisible']:
salary = f"{job['salaryRange']['min']}-{job['salaryRange']['max']} {job['salaryRange']['currency']}"
for location in job['locations']:
locations.append(location['name'])
result.append([job['jobTitle'], job['description'], job['jobUrl'], salary, ", ".join(locations)])
df = pd.DataFrame(result)
df.columns = ['Title', 'Description', 'Link', 'Salary', 'Location']
print(df.to_string())
foo(1, "personal assistant")
输出:
Title Description Link Salary Location
0 Personal Assistant/ Secretary Job Description:GETO GLOBAL CONSTRUCTION TECH MALAYSIA SDN. BHD. is a subsidiary of a public listed company from China, specializing in Aluminum... https://www.jobstreet.com.my/en/job/personal-assistant-secretary-4986870?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=1&jobId=jobstreet-my-job-4986870 3000-6000 MYR Shah Alam/Subang
1 Executive Assistant Responsibilities: Responsible in managing day-to-day office related and administrative tasks. Organizing and attending meetings and ensuring well... https://www.jobstreet.com.my/en/job/executive-assistant-4986449?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=2&jobId=jobstreet-my-job-4986449 2000-3000 MYR Johor - Others
2 Secretary A good write-up Secretary's resume is a Must with experience and can handle Managing Director company matters only. Fresh grads or many years in... https://www.jobstreet.com.my/en/job/secretary-4986714?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=3&jobId=jobstreet-my-job-4986714 2000-3000 MYR Petaling Jaya
3 Secretary/Personal assistant We are looking for Secretary/Personal assistant in our company for: Organising and maintaining office systems Screening phone calls, emails, enquiries... https://www.jobstreet.com.my/en/job/secretary-personal-assistant-4983131?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=4&jobId=jobstreet-my-job-4983131 2000-3000 MYR Kuala Lumpur
4 Personal Assistant to Country Leader Do you want to make a positive impact on the world? Sustainable development is at the heart of everything we do.Seventy-five years ago, we created a... https://www.jobstreet.com.my/en/job/personal-assistant-to-country-leader-4986906?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=5&jobId=jobstreet-my-job-4986906 2000-3000 MYR Petaling Jaya
5 Personal Assistant to Senior Director Requirement: 5 – 8 years in handling PA end to end tasks for a Director/CEO/Managing Director Highly proficient in MS Office software Strong knowledge... https://www.jobstreet.com.my/en/job/personal-assistant-to-senior-director-4986792?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=6&jobId=jobstreet-my-job-4986792 2000-3000 MYR Shah Alam/Subang
6 Personal Assistant Report to top management; Attend to all aspects of PA and corporate work; Draft and manage correspondences, email, and memos; Schedule and organize... https://www.jobstreet.com.my/en/job/personal-assistant-4987086?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=7&jobId=jobstreet-my-job-4987086 2000-4000 MYR Puchong
7 Personal Assistant (Secretary) to Director Responsibilities: Provide support to Director and act as the primary liaison with various divisions/department or any newly set-up branch within... https://www.jobstreet.com.my/en/job/personal-assistant-secretary-to-director-4980388?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=8&jobId=jobstreet-my-job-4980388 2000-4000 MYR Kuala Lumpur, Selangor
8 Personal Assistant Personal Assistants perform a variety of administrative tasks for an individual.Here are some common responsibilities of a Personal Assistant:... https://www.jobstreet.com.my/en/job/personal-assistant-4986053?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=9&jobId=jobstreet-my-job-4986053 2000-4000 MYR Subang Jaya
9 Special Officer to CEO - Public Listed Conglomerate Reporting and supporting the CEO in his daily work in wide variety of area - including preparation for meetings, development of presentation materials... https://www.jobstreet.com.my/en/job/special-officer-to-ceo-public-listed-conglomerate-4986807?token=0~5e9badd8-c329-4c4c-b157-bc43eaa5cd24§ionRank=10&jobId=jobstreet-my-job-4986807 15000-20000 MYR Kuala Lumpur
...