job-scrapper/lib/scrap_jobs.py

from helpers import *
from login import solveCaptcha
DEBUG = True

def log(*s):
    if DEBUG:
        print(s)

def scrap_indeed_com(url,entry,session):
    moz_cookies = getCookiesFromBrowser(url)
    print("[scrap]cookies:", moz_cookies)
    session.headers = {
                "User-Agent" : "Mozilla/5.0 (X11; Linux x86_64; rv:127.0) Gecko/20100101 Firefox/127.0",
                "Referer" : "https://ch.indeed.com/jobs?&from=searchOnHP",
                "Cookie" : moz_cookies# """CTK=1i5q619l6jvkj800; indeed_rcc="LV:CTK:RQ"; CSRF=aEb4JWpfbYPy3j3g2rsUPDSixXqBe1Oe; INDEED_CSRF_TOKEN=4p83HqsTMan9QrVZun2Q0wrFeCoGm9mG; LV="LA=1724238852:LV=1724234376:CV=1724238852:TS=1724234376"; _cfuvid=27ptQm94DDaFeIjNGSNxW3g9GyDAJExtQz_RNr0jvE0-1724238843162-0.0.1.1-604800000; JSESSIONID=F196631331EF16D28C0E00AC7A43CB10; OptanonConsent=isGpcEnabled=1&datestamp=Wed+Aug+21+2024+13%3A14%3A47+GMT%2B0200+(Central+European+Summer+Time)&version=202210.1.0&isIABGlobal=false&hosts=&consentId=b0f6c692-930d-4929-9251-9a4f7bc72f61&interactionCount=1&landingPath=NotLandingPage&groups=C0001%3A1%2CC0002%3A0%2CC0003%3A0%2CC0004%3A0%2CC0007%3A0&AwaitingReconsent=false; _ga_LYNT3BTHPG=GS1.1.1724238849.2.1.1724238908.0.0.454081609; _ga=GA1.1.1356051481.1724234379; SURF=WCl9mMSuWXP2jp3GlLMyXzkQkAdKDg7W; FPID=FPID2.2.Dd22VS9g0Vfjh5dQoT9s%2Bws7zDmpmQlIzsYP9ZLW8kg%3D.1724234379; FPLC=Qmy8DxSR81EJxewKgZ7RfgP%2BdXEXWWU4RKVUs2Pn1vEIp%2Fu2Upaqz5%2Blgf05XLqfdY7S4qGRwWAbQqAbKQZb%2FBWQxZwpmvOzw%2Bhgpkfvj320PLIwamECv9iYH%2Bx%2FrQ%3D%3D; RQ="q=quereinsteiger&l=&ts=1724238933002&rbsalmin=0&rbsalmax=0:q=python+qt&l=&ts=1724234491003&rbsalmin=0&rbsalmax=0"; __cf_bm=X3BsfEnAGodB.ELxHVfYTAYd4K4n3TUbHVV7OyKMjBg-1724238843-1.0.1.1-4QMaUgbvnumBKmzwOcY2o0Taikgpvn72OoTXG_ZtU8q3qOCuf06riyYIJlXD.zsd7JxmZ_VdN1S9cCbGwXid6w; gonetap=closed; SHARED_INDEED_CSRF_TOKEN=4p83HqsTMan9QrVZun2Q0wrFeCoGm9mG"""
                }
    jobs = []
    log("in scrap jobs,url",url)
    if(session == 0 or session == -1):
        with requests.Session() as session:
            page = session.get(url)
            log(page)
    else:
        page = session.get(url)
        log(page)
    solveCaptcha(session,page)
    soup = BeautifulSoup(page.content,"html.parser")
    #print(soup.prettify())


    results = soup.find_all("li",class_= 'css-5lfssm eu4oa1w0') #top level list element
    
    location = item("div",{'data-testid':'text-location'},0,"indeed location")
    ar_location = finder(results,location,ATTRS=1,LOCATION_CLEANUP=1)

    company = item("span",{'data-testid':'company-name'},0,"indeed company")
    ar_company = finder(results,company,ATTRS=1)

    title = item("a",'jcs-JobTitle',0,"indeed title")
    ar_title = finder(results,title,GETCHILDREN="span")

    date = item("span",{'data-testid':'myJobsStateDate'},0,"indeed date")
    ar_date = finder(results,date,ATTRS=1,INDEEDDATE=1)

    link = item("a",'jcs-JobTitle',0,"link")
    ar_link = finder(results,link,LINK=1,BASEURL="https://ch.indeed.com")
    
    tag = entry.tag#get from config
    return arrayToClass(ar_title,ar_company,ar_location,ar_date,ar_link,tag)

def scrap_jobs(url,entry,session):
    session.headers = {
                "User-Agent" : "Mozilla/5.0 (X11; Linux x86_64; rv:127.0) Gecko/20100101 Firefox/127.0"
                }
    jobs = []
    log("in scrap jobs,url",url)
    if(session == 0 or session == -1):
        with requests.Session() as session:
            page = session.get(url)
            log(page)
    else:
        page = session.get(url)
        log(page)
    soup = BeautifulSoup(page.content,"html.parser")
    #print(soup.prettify())

    results = soup.find_all("div",attrs={'data-feat':'searched_jobs'})
    
    location_class = "d_grid items_start gap_s12 grid-cols_[auto_1fr] px_s8"
    location = item("div",location_class,0,"location")
    ar_location = finder(results,location,GETCHILDREN='p',LOCATION_CLEANUP=1)

    company_class = "mb_s12 lastOfType:mb_s0 textStyle_p2"
    company  = item("p",company_class,0,"company")
    ar_company = finder(results,company,DEFAULT=1,GETCHILDREN='strong')
    
    title = item("span","text_link.brand.base",0,"TITLE")
    ar_title = finder(results,title,DEFAULT=1)

    date = item("span","pos_absolute",0,"date")
    ar_date = finder(results,date,CLEANDATE=1)

    link = item("a",{'data-cy' :'job-link'},0,"link")
    ar_link = finder(results,link,LINK=1,ATTRS=1,BASEURL="https://jobs.ch")
    
    tag = entry.tag#get from config
    return arrayToClass(ar_title,ar_company,ar_location,ar_date,ar_link,tag)

def next_url_indeed_com(url,session,baseurl):
    next_link_str = ''
    if(session == 0):
        with requests.Session() as session:
            page = session.get(url)
    else:
        page = requests.get(url)
    soup = BeautifulSoup(page.content,"html.parser")
    result_next = soup.findAll("nav",attrs={"role":"navigation"})
    next_=item("a",{'data-testid':'pagination-page-next'},0)
    next_link = finder(result_next,next_,ATTRS=1,LINK=1)
    if next_link:
        if(next_link[0] != "NOTFound"):
            next_link_str = str(next_link[0])
            next_link_str = baseurl + next_link_str 
            log(next_link_str)
    else:
        return 0
    if next_link_str != '':
        return next_link_str 
    else:
        return 0
def next_url_jobs_ch(url,session,baseurl):
    next_link_str = ''
    if(session == 0):
        with requests.Session() as session:
            page = session.get(url)
    else:
        page = requests.get(url)
    soup = BeautifulSoup(page.content,"html.parser")
    result_next = soup.findAll("div",attrs={"data-cy":"paginator"})
    next_=item("a",{"data-cy":"paginator-next"},0)
    next_link = finder(result_next,next_,ATTRS=1,LINK=1)
    if next_link:
        if(next_link[0] != "NOTFound"):
            next_link_str = str(next_link[0])
            next_link_str = baseurl + next_link_str 
            log(next_link_str)
    else:
        return 0
    if next_link_str != '':
        return next_link_str 
    else:
        return 0

def next_url_jobagent(base_url,session,c):#depreacted will be removed in the future
    found = False

    if(session == 0):
        with requests.Session() as session:
            page = session.get(base_url)
    else:
        page = requests.get(base_url)

    soup = BeautifulSoup(page.content,"html.parser")
    results = soup.find("ul",class_="pagination")
    
    if(results != None):
        pages = results.text 
    if(results == None):
        print("pagination next not found, probably end of pages:")

    next_url_names = soup.find_all("a",class_="btn btn-sm btn-secondary")
    for i2 in next_url_names:
        striped_string = i2.text.strip()
        log(i2.text.strip(),"stripped:",striped_string)
        log("Printable characters?",striped_string.isprintable())
        if (striped_string) == "Nächste Seite":
            log(i2)
            next_url = i2.get("href")
            log("url of next site")
            found = True
            return next_url
            break

    if found == False:
        return 0

def scrap_jobagent(url,entry,session):
    jobs = []
    log("[scrap_jobagent],url",url)
    if(session == 0 or session == -1):
        log("session not sucessful transmitted ",session)
        with requests.Session() as session:
            page = session.get(url)
            log(page)
    else:
        page = session.get(url)
        page = session.get(url)
        log("[scrap_jobagent]page:",page)
    soup = BeautifulSoup(page.content,"html.parser")
    print(soup.prettify())
    print(session.headers)
    results = soup.find_all("li",class_="item")
    if not results:
        print("no li items found")
        log("page:",page)
    
    title = item("span","jobtitle",0,"jobagent title")
    ar_title = finder(results,title)
    
    location = item("span","location",0,"jobagent location")
    ar_location = finder(results,location,LOCATION_CLEANUP=1)

    company = item("span","company",0,"jobagent company")
    ar_company = finder(results,company,DEFAULT=1)

    link = item("a","title",0,"jobagent link")
    ar_link = finder(results,link,LINK=1)

    date = item("span","pubdate",0)
    ar_date = finder(results,date,SWAPDATE=1)
    tag = entry.tag
    
    return arrayToClass(ar_title,ar_company,ar_location,ar_date,ar_link,tag)