126 lines
7.7 KiB
Python
126 lines
7.7 KiB
Python
import requests
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from csv import DictWriter
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import pandas as pd
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from time import sleep
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# class JSTMalayJobDetailScraper:
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# id
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column = [
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"isExternal",
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"Url",
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"Job Key",
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"Source Link",
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"Job Description",
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"Role Category",
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"Job Industry",
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"Job Title",
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"Formatted Location Full",
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"Job Functions",
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"Company",
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"Job Type",
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"Key Skills",
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"Minimum Experience",
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"Maximum Experience",
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"Salary Detail"
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]
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def jstMalayJobDetailScraper(search_file, jd_file):
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url = "https://xapi.supercharge-srp.co/job-search/graphql?country=my&isSmartSearch=true"
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headers = {
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'Accept': '*/*',
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'Accept-Encoding': 'gzip, deflate, br',
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'Accept-Language': 'en-US,en;q=0.9',
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'Content-Length': '2361',
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'Content-Type': 'application/json',
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'Origin': 'https://www.jobstreet.com.my',
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'Referer': 'https://www.jobstreet.com.my/',
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'Sec-Ch-Ua': '"Chromium";v="118", "Google Chrome";v="118", "Not=A?Brand";v="99"',
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'Sec-Ch-Ua-Mobile': '?0',
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'Sec-Ch-Ua-Platform': '"Windows"',
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'Sec-Fetch-Dest': 'empty',
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'Sec-Fetch-Mode': 'cors',
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'Sec-Fetch-Site': 'cross-site',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36'
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}
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jobIds = pd.read_csv(search_file)
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jobIds['id'] = jobIds['id'].astype(str)
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jobIds = jobIds[['id', 'sourceCountryCode']].values.tolist()
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query = "query getJobDetail($jobId: String, $locale: String, $country: String, $candidateId: ID, $solVisitorId: String, $flight: String) {\n jobDetail(\n jobId: $jobId\n locale: $locale\n country: $country\n candidateId: $candidateId\n solVisitorId: $solVisitorId\n flight: $flight\n ) {\n id\n pageUrl\n jobTitleSlug\n applyUrl {\n url\n isExternal\n }\n isExpired\n isConfidential\n isClassified\n accountNum\n advertisementId\n subAccount\n showMoreJobs\n adType\n header {\n banner {\n bannerUrls {\n large\n }\n }\n salary {\n max\n min\n type\n extraInfo\n currency\n isVisible\n }\n logoUrls {\n small\n medium\n large\n normal\n }\n jobTitle\n company {\n name\n url\n slug\n advertiserId\n }\n review {\n rating\n numberOfReviewer\n }\n expiration\n postedDate\n postedAt\n isInternship\n }\n companyDetail {\n companyWebsite\n companySnapshot {\n avgProcessTime\n registrationNo\n employmentAgencyPersonnelNumber\n employmentAgencyNumber\n telephoneNumber\n workingHours\n website\n facebook\n size\n dressCode\n nearbyLocations\n }\n companyOverview {\n html\n }\n videoUrl\n companyPhotos {\n caption\n url\n }\n }\n jobDetail {\n summary\n jobDescription {\n html\n }\n jobRequirement {\n careerLevel\n yearsOfExperience\n qualification\n fieldOfStudy\n industryValue {\n value\n label\n }\n skills\n employmentType\n languages\n postedDate\n closingDate\n jobFunctionValue {\n code\n name\n children {\n code\n name\n }\n }\n benefits\n }\n whyJoinUs\n }\n location {\n location\n locationId\n omnitureLocationId\n }\n sourceCountry\n }\n}\n"
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with open(jd_file, 'a+', encoding='utf-8', newline='') as jfile:
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j_writer = DictWriter(jfile, fieldnames= column, extrasaction='ignore')
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while jobIds:
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print(jobIds[0])
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variables = {
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"jobId": jobIds[0][0],
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"country":jobIds[0][1], #"my",
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"locale": "en",
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"candidateId": "",
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"solVisitorId": "7d3f7e5c-471e-411d-8a82-d8d29a303653"
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}
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data = {
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'query': query,
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'variables': variables
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}
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err =0
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# try:
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response = requests.post(url, json=data, headers=headers, timeout=20)
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print(response.status_code)
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# print(response.text)
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if response.status_code == 200:
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print("yes 200")
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result = response.json()
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# print("result", result)
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if jfile.tell() == 0:
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j_writer.writeheader()
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if result.get('data', {'jobDetail' :''}).get('jobDetail'):
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print(result.get('data', {'jobDetail' :''}).get('jobDetail'))
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# print(result['data']['jobDetail'])
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try :
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job_industry = result['data']['jobDetail']\
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.get('jobDetail', {'jobRequirement':""})\
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.get('jobRequirement', {"industryValue":""})\
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.get('industryValue', {'label':""})\
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.get('label')
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except :
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job_industry = ""
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job = {
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'isExternal': result['data']['jobDetail'].get('applyUrl',{'isExternal':''}).get('isExternal'),
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'Url' : result['data']['jobDetail'].get('pageUrl'),
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"Job Description" :result['data']['jobDetail'].get('jobDetail', {'jobDescription':{'html'}})
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.get('jobDescription',{'html':''}).get('html'),
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'Company' : result['data']['jobDetail'].get('header', {'company':""}).get('company', {'name':""}).get('name'),
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"Job Title" : result['data']['jobDetail'].get('header', {'jobTitle' : ""}).get('jobTitle'),
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"Formatted Location Full": ', '.join(xy.get('location','') for xy in result['data']['jobDetail'].get('location', [])),
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"Salary Detail" : result['data']['jobDetail'].get('header', {'salary', ''}).get('salary'),
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"Job Key": result['data']['jobDetail'].get('id'),
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"Source Link" : result['data']['jobDetail'].get('applyUrl',{'url':''}).get('url'),
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"Role Category":"",
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"Job Industry": job_industry,
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"Job Functions" : ', '.join([yu['name'] for yu in result['data']['jobDetail'].get('jobDetail', {'jobRequirement':""}).get('jobRequirement')['jobFunctionValue']]),
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"Job Type" : result['data']['jobDetail'].get('jobDetail', {'jobRequirement':""}).get('jobRequirement', {"employmentType":""}).get('employmentType'),
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"Key Skills":"",
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"Minimum Experience" : result['data']['jobDetail'].get('jobDetail', {'jobRequirement':""}).get('jobRequirement', {"yearsOfExperience":""}).get('yearsOfExperience'),
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# "Salary Detail" : result['data']['jobDetail']['header']['salary']
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}
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j_writer.writerow(job)
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del jobIds[0]
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else:
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print(err)
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err += 1
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print('after update ', err)
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if err >3:
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del jobIds[0]
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sleep(2)
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# except Exception as mdetail:
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# print(mdetail)
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# err += 1
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# print("Exception erro ", err)
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# if err >3:
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# del jobIds[0]
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if __name__ == "__main__":
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jstMalayJobDetailScraper("testdata_jst_malay.csv", "test_data_malaydetail.csv")
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