def runScrape(verbose, upload, alljobs, timeout):
# Sets the company for the script. Change each company
company = JC.Company(15, "Raytheon", "https://www.raytheon.com/", "None")
# Getting total number of jobs from base link
page_link = 'https://jobs.raytheon.com/search-jobs/United%20States?orgIds=4679&alp=6252001&alt=2'
page_response = requests.get(page_link)
page_content = BeautifulSoup(page_response.content, "html.parser")
totalJobs = page_content.find("h1", {"role": "status"}).text
totalJobs = totalJobs[:4]
#Editing link to get total number of jobs
page_link = 'https://jobs.raytheon.com/search-jobs/results?ActiveFacetID=0&CurrentPage=1&RecordsPerPage=' + totalJobs + '&Distance=50&RadiusUnitType=0&Keywords=&Location=United+States&Latitude=&Longitude=&ShowRadius=False&CustomFacetName=&FacetTerm=&FacetType=0&FacetFilters%5B0%5D.ID=6252001&FacetFilters%5B0%5D.FacetType=2&FacetFilters%5B0%5D.Count=3478&FacetFilters%5B0%5D.Display=United+States&FacetFilters%5B0%5D.IsApplied=true&FacetFilters%5B0%5D.FieldName=&SearchResultsModuleName=Search+Results&SearchFiltersModuleName=Search+Filters&SortCriteria=0&SortDirection=1&SearchType=6&CategoryFacetTerm=&CategoryFacetType=&LocationFacetTerm=&LocationFacetType=&KeywordType=&LocationType=&LocationPath=&OrganizationIds=4679&PostalCode=&fc=&fl=&fcf=&afc=&afl=&afcf='
page_response = requests.get(page_link)
page_json = json.loads(page_response.content)
page_content = BeautifulSoup(page_json["results"], "html.parser")
jobsContainer = page_content.findAll("li")
#Removing country list item
jobsContainer = jobsContainer[1:]
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in jobsContainer:
title = job.find("h2").text
location = job.find("span", attrs={"class": "job-location"}).text
link = 'https://jobs.raytheon.com' + job.a["href"]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link)
page_content = BeautifulSoup(page_response.content, "html.parser")
desc = page_content.find("div", attrs={
"class": "ats-description"
}).text
title = str(titles[i])
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
# 1. Initialise Company Object, with all the information needed to attach to a job page.
# 1.5. Go into Wordpress and create a company account for this company. Most important is the company id
company = JC.Company(0, "Company Name", "www.companyurl.com",
"Company Email")
print("Scraping %s..." % company.name)
# 2. Add URL of the company's career page
company_careers_url = 'https://www.companyname.com/careers'
page_response = requests.get(company_careers_url, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
# 3. Identify the parts of the webpage that have all the job information on.
# If purely HTML, it will probably be some sort of list of <div> with an identifying class, which you can find through the findAll function
# If the website uses JavaScript, then the process will be a bit more complicated
jobPostingsOnWebpage = page_content.findAll('div',
attrs={"class": "posting"})
# Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in jobPostingsOnWebpage:
# 4. From the HTML objects, separate the link to the job, the job title, and the location (if it is there)
link = job.a["href"]
title = job.h5.text
location = job.find('span', attrs={"class": "sort-by-location"}).text
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
# 4. Identify the job description, and isolate it. Include the HTML formatting (we use it to keep the job pretty on our site)
desc = str(page_content.find('div', {"class": "content"}))
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
def runScrape(verbose, upload, alljobs, timeout):
# Sets the company for the script. Change each company
company = JC.Company(10, "OneWeb", "https://www.oneweb.world/",
"*****@*****.**")
page_link = 'https://boards.greenhouse.io/embed/job_board?for=oneweb&b=https%3A%2F%2Fwww.oneweb.world%2Fcareers'
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
jobContainer = page_content.findAll("div", attrs={"class": "opening"})
# Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in jobContainer:
title = job.a.text.strip()
location = job.span.text.strip()
tempLink = job.a["href"]
ID = tempLink[50:]
link = "https://boards.greenhouse.io/embed/job_app?for=oneweb&token=" + ID + "&b=https%3A%2F%2Foneweb.world%2Fcareers-opportunities%2F"
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
descContainer = page_content.findAll("p")
for par in descContainer:
desc = par.text
descriptions.append(desc)
title = str(titles[i])
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = JC.Company(9, "Bigelow", "https://bigelowaerospace.com/",
"*****@*****.**")
page_link = "https://bigelowaerospace.com/pages/job-opportunities/"
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
alljobswebpage = page_content.findAll("p")
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in alljobswebpage:
try:
title = job.a.u.text
link = job.a["href"]
location = "North Las Vegas, NV, USA"
titles.append(title)
locations.append(location)
links.append(link)
except AttributeError:
break
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
descContainer = page_content.findAll("ul")
desc = descContainer[1].text
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = JC.Company(2, "Astranis", "www.astranis.com",
"*****@*****.**")
page_link = 'https://jobs.lever.co/astranis'
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
alljobswebpage = page_content.findAll('div', attrs={"class": "posting"})
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in alljobswebpage:
link = job.a["href"]
title = job.h5.text
location = job.find('span', attrs={"class": "sort-by-location"}).text
#TODO: Add a check to see if they add a country code. Especially if Astranis expands beyond America
location = location + ', USA'
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
desc = str(page_content.find('div', {"class": "content"}))
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(verbose, upload, alljobs, titles, locations, descriptions,
company)
return True
def runScrape(verbose, upload, alljobs, timeout):
# Sets the company for the script. Change each company
company = JC.Company(17, "Odyssey Space Research",
"https://www.odysseysr.com/", "None")
page_link = 'https://www.odysseysr.com/jm-ajax/get_listings/'
page_response = requests.get(page_link)
json_content = json.loads(page_response.content)
page_content = BeautifulSoup(json_content["html"], "html.parser")
jobContainer = page_content.findAll("a")
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in jobContainer:
title = job.find("h3").text
location = job.find("div", attrs={"class": "location"}).text.strip()
link = job["href"]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link)
page_content = BeautifulSoup(page_response.content, "html.parser")
desc = page_content.find("div", attrs={
"class": "job_description"
}).text
title = str(titles[i])
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose,upload,alljobs,timeout):
#Sets the company for the script. Change each company
company = JC.Company(6, "Rocket Lab", "www.rocketlabusa.com", "None")
page_link = 'https://www.rocketlabusa.com/careers/positions/'
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
jobsContainer = page_content.findAll("a", attrs={"class":"job"})
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for jobs in jobsContainer:
title = jobs.h3.text
location = jobs.h5.text
link = "https://www.rocketlabusa.com" + jobs["href"]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
desc = page_content.find("div", attrs={"class", "job__info-subtitle"}).text
descriptions.append(desc)
title = str(titles[i])
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = Company(1, "SpaceX", "www.spacex.com", "*****@*****.**")
page_link = 'https://www.spacex.com/careers/list/robots.txt'
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
oddJobs = page_content.findAll('tr', attrs={"class": "odd"})
evenJobs = page_content.findAll('tr', attrs={"class": "even"})
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in oddJobs and evenJobs:
link = job.a["href"]
title = job.a.text
location = job.findAll(
"div", {"class": "field-name-field-job-location"})[0].text
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
desc = str(page_content.find('div', {"id": "content"}))
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
with open(basepath + entry.name) as json_file:
data = json.load(json_file)
#Getting title, description and link from JSON files
title = data['labels'][0]
location = data['labels'][1]
desc = data['description']
link = data['link']
#Removing extra string that's on location
if location.find(", More...") == -1:
location = location + ", USA"
else:
location = location[:-9] + ", USA"
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
descriptions = []
for i in range(len(links)):
title = str(titles[i])
location = locations[i]
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
def runScrape(verbose, upload, alljobs, timeout):
# Sets the company for the script. Change each company
company = JC.Company(16, "OrbitalInsight", "https://orbitalinsight.com/",
"*****@*****.**")
# Uses webdriver and chromedriver to get html from javascript
chromedriver = "/Users/JJ/Documents/ProgrammingStuff/chromedriver"
driver = webdriver.Chrome(chromedriver)
driver.get("https://orbitalinsight.com/company/careers/#positions")
html = driver.execute_script("return document.documentElement.outerHTML")
page_content = BeautifulSoup(html, "html.parser")
driver.close()
#No overarching div that contains all jobs. Getting each item individually in a list
titleContainer = page_content.find_all("h3",
attrs={"class": "career__title"})
locationContainer = page_content.findAll(
"div", attrs={"class": "career__meta--location"})
linkContainer = page_content.findAll("a", attrs={"class": "btn"})
# Removing Join Us link and Email link
numJobs = len(titleContainer)
linkContainer = linkContainer[1:numJobs + 1]
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for i in range(len(titleContainer)):
title = titleContainer[i].text
location = locationContainer[i].text
link = linkContainer[i]["href"]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
driver = webdriver.Chrome(chromedriver)
driver.get(page_link)
html = driver.execute_script(
"return document.documentElement.outerHTML")
page_content = BeautifulSoup(html, "html.parser")
driver.close()
desc = page_content.find("div",
attrs={
"class": "columns small-12 medium-8"
}).text
title = str(titles[i])
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = JC.Company(7, "Aerospace Corporation", "https://aerospace.org/",
"None")
page_link = 'https://careers.aerospace.org/go/View-All-Jobs/2443100/?q=&sortColumn=referencedate&sortDirection=desc'
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
#Getting base pagination links
paginationLinks = page_content.find("ul", attrs={"class": "pagination"})
jobLinkContainer = paginationLinks.findAll("li")
#List to store all links
mainLinkContainer = []
for link in jobLinkContainer:
jobsLink = "https://careers.aerospace.org" + link.a["href"]
#Editing links to obtain links for all pages on website
if jobsLink == "https://careers.aerospace.org/go/View-All-Jobs/2443100/100/?q=&sortColumn=referencedate&sortDirection=desc":
mainLinkContainer.append(jobsLink)
#Calculating the number of pages left
numPagesLeft = int(((250 - 100) / 25) - 1)
#Num items on page increases by 25 starting at 125
paginationAmount = 125
#Editing the links
for i in range(numPagesLeft):
jobsLink = "https://careers.aerospace.org/go/View-All-Jobs/2443100/%s/?q=&sortColumn=referencedate&sortDirection=desc" % (
str(paginationAmount))
paginationAmount += 25
mainLinkContainer.append(jobsLink)
else:
mainLinkContainer.append(jobsLink)
#Removing duplicate links
mainLinkContainer = list(dict.fromkeys(mainLinkContainer))
# Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
#Start of main web scrape
for link in mainLinkContainer:
page_response = requests.get(link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
titleContainer = page_content.findAll("a",
attrs={"class": "jobTitle-link"})
locationContainer = page_content.select(
"span.jobLocation.visible-phone")
#Removing duplicates from the list
titleContainer = list(dict.fromkeys(titleContainer))
for item in titleContainer:
title = item.text
link = "https://careers.aerospace.org" + item["href"]
titles.append(title)
links.append(link)
for loc in locationContainer:
location = (loc.span.text).strip()
locations.append(location)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
descContainer = page_content.findAll("span",
attrs={"class": "jobdescription"})
for items in descContainer:
desc = items.text
descriptions.append(desc)
title = str(titles[i])
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose,upload,alljobs,timeout):
#Sets the company for the script. Change each company
company = JC.Company(12, "Lockheed Martin", "https://www.lockheedmartin.com/en-us/index.html", "*****@*****.**")
#Getting page to find total number of jobs
page_link = 'https://www.lockheedmartinjobs.com/search-jobs/results?ActiveFacetID=Space&CurrentPage=1&RecordsPerPage=1000&Distance=50&RadiusUnitType=0&Keywords=&Location=&Latitude=&Longitude=&ShowRadius=False&CustomFacetName=&FacetTerm=&FacetType=0&FacetFilters%5B0%5D.ID=4566966&FacetFilters%5B0%5D.FacetType=2&FacetFilters%5B0%5D.Count=13&FacetFilters%5B0%5D.Display=Puerto+Rico&FacetFilters%5B0%5D.IsApplied=true&FacetFilters%5B0%5D.FieldName=&FacetFilters%5B1%5D.ID=6252001&FacetFilters%5B1%5D.FacetType=2&FacetFilters%5B1%5D.Count=4897&FacetFilters%5B1%5D.Display=United+States&FacetFilters%5B1%5D.IsApplied=true&FacetFilters%5B1%5D.FieldName=&FacetFilters%5B2%5D.ID=Space&FacetFilters%5B2%5D.FacetType=5&FacetFilters%5B2%5D.Count=1082&FacetFilters%5B2%5D.Display=Space&FacetFilters%5B2%5D.IsApplied=true&FacetFilters%5B2%5D.FieldName=job_level&SearchResultsModuleName=Search+Results&SearchFiltersModuleName=Search+Filters&SortCriteria=0&SortDirection=0&SearchType=5&CategoryFacetTerm=&CategoryFacetType=&LocationFacetTerm=&LocationFacetType=&KeywordType=&LocationType=&LocationPath=&OrganizationIds=&PostalCode=&fc=&fl=6252001%2C4566966&fcf=&afc=&afl=&afcf='
page_response = requests.get(page_link, timeout=timeout)
page_json = json.loads(page_response.content)
page_content = BeautifulSoup(page_json["results"], "html.parser")
#Getting total nunmber of jobs
totalJobsStr = page_content.find("p").text
totalJobs = ''
for i in totalJobsStr:
if i.isdigit():
totalJobs = totalJobs + str(i)
#Removing number of jobs per page from string
totalJobs = totalJobs[2:]
#Editing page_link and getting new page to reflect thes total number of jobs
page_link = 'https://www.lockheedmartinjobs.com/search-jobs/results?ActiveFacetID=Space&CurrentPage=1&RecordsPerPage=' + totalJobs + '&Distance=50&RadiusUnitType=0&Keywords=&Location=&Latitude=&Longitude=&ShowRadius=False&CustomFacetName=&FacetTerm=&FacetType=0&FacetFilters%5B0%5D.ID=4566966&FacetFilters%5B0%5D.FacetType=2&FacetFilters%5B0%5D.Count=13&FacetFilters%5B0%5D.Display=Puerto+Rico&FacetFilters%5B0%5D.IsApplied=true&FacetFilters%5B0%5D.FieldName=&FacetFilters%5B1%5D.ID=6252001&FacetFilters%5B1%5D.FacetType=2&FacetFilters%5B1%5D.Count=4897&FacetFilters%5B1%5D.Display=United+States&FacetFilters%5B1%5D.IsApplied=true&FacetFilters%5B1%5D.FieldName=&FacetFilters%5B2%5D.ID=Space&FacetFilters%5B2%5D.FacetType=5&FacetFilters%5B2%5D.Count=1082&FacetFilters%5B2%5D.Display=Space&FacetFilters%5B2%5D.IsApplied=true&FacetFilters%5B2%5D.FieldName=job_level&SearchResultsModuleName=Search+Results&SearchFiltersModuleName=Search+Filters&SortCriteria=0&SortDirection=0&SearchType=5&CategoryFacetTerm=&CategoryFacetType=&LocationFacetTerm=&LocationFacetType=&KeywordType=&LocationType=&LocationPath=&OrganizationIds=&PostalCode=&fc=&fl=6252001%2C4566966&fcf=&afc=&afl=&afcf='
page_response = requests.get(page_link, timeout=timeout)
page_json = json.loads(page_response.content)
page_content = BeautifulSoup(page_json["results"], "html.parser")
titleContainer = page_content.findAll('span', attrs={'class':'job-title'})
locationContainer = page_content.findAll('span', attrs={'class':'job-location'})
linkContainer = page_content.findAll('a')
#Removing unnessary "a" tags
linkContainer = linkContainer[2:]
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for i in range(len(titleContainer)):
title = titleContainer[i].text
location = locationContainer[i].text
link = 'https://www.lockheedmartinjobs.com' + linkContainer[i]["href"]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
title = str(titles[i])
desc = page_content.find('div', attrs={'class':'ats-description'}).text
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles,locations,descriptions,company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = JC.Company(8, "Astrobotic", "https://www.astrobotic.com/",
"*****@*****.**")
#Uses webdriver and chromedriver to get html from javascript
chromedriver = "/Users/JJ/Documents/ProgrammingStuff/chromedriver"
driver = webdriver.Chrome(chromedriver)
driver.get("https://www.astrobotic.com/careers")
html = driver.execute_script("return document.documentElement.outerHTML")
page_content = BeautifulSoup(html, "html.parser")
jobContainer = page_content.findAll("div",
attrs={"class": "rbox-opening-li"})
driver.close()
#Creates list of titles, locations and links to the application website
titles = []
locations = []
links = []
for job in jobContainer:
title = job.find("a", attrs={"class": "rbox-opening-li-title"}).text
location = job.find("div", attrs={"class": "rbox-job-shortdesc"}).text
link = job.find("a", attrs={"class": "rbox-opening-li-title"})["href"]
#Removing information not necessary for location (i.e. Full-time, Location:, etc)
if location.find("Location") != -1 or location.find(
"Full-time") != -1 or location.find("Contract") != -1:
if location.find("Full-time") == 54:
location = location[13:54]
elif location.find("Full-time") == 29:
location = location[13:29]
elif location.find("Full-time") == 25:
location = location[13:25]
else:
location = location[13:54]
titles.append(title)
locations.append(location)
links.append(link)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
# Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
#Getting jobID from page links
jobID = ""
jobIDList = re.findall("\d", page_link)
for num in jobIDList:
jobID = jobID + num
#Editing the description link
descLink = "https://app.recruiterbox.com/widget/4972/opening/%s/" % (
jobID)
page_response = requests.get(descLink, timeout=timeout)
jsonData = json.loads(page_response.content)
page_content = BeautifulSoup(jsonData["description"], "html.parser")
descContainer = page_content.findAll("p") + page_content.findAll("li")
for par in descContainer:
desc = par.text
descriptions.append(desc)
title = str(titles[i])
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
# Sets the company for the script. Change each company
company = Company(5, "Relativity Space", "www.relativityspace.com", "None")
company_careers_url = "https://boards.greenhouse.io/embed/job_board?for=relativity&b=https%3A%2F%2Fwww.relativityspace.com%2Fcareers"
page_response = requests.get(company_careers_url, timeout=timeout)
page_content = BeautifulSoup(page_response.content, "html.parser")
jobContainer = page_content.findAll("div", attrs={"class": "opening"})
# Creates list of titles, locations and links to the application website
titles = []
links = []
locations = []
for jobs in jobContainer:
title = jobs.a.text
location = jobs.span.text
link = jobs.a["href"]
titles.append(title)
links.append(link)
locations.append(location)
print("There are %s jobs to scrape. Starting scrape..." % str(len(links)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(links)):
page_link = links[i]
page_response = requests.get(page_link)
page_content = BeautifulSoup(page_response.content, "html.parser")
descContainer = page_content.findAll(
"script", attrs={"type": "application/ld+json"})
descJSON = json.loads(descContainer[0].text)
descContent = BeautifulSoup(descJSON["description"], "html.parser")
descContainer_2 = descContent.findAll("p")
descContainer_3 = descContent.findAll("div")
if descContainer_2[0].text == "Team and Role Overview":
desc = descContainer_2[1].text
if (str(descContainer_2[1])) == "<p> </p>":
desc = descContainer_3[0].text
descriptions.append(desc)
else:
descriptions.append(desc)
else:
try:
if descContainer_3[0].text[0:4] == "Team":
if (str(descContainer_3[1])) == "<div> </div>":
desc = descContainer_3[2].text
descriptions.append(desc)
else:
desc = descContainer_3[1].text
descriptions.append(desc)
except IndexError:
continue
createjoblist(titles, locations, descriptions, company)
return True
def runScrape(verbose, upload, alljobs, timeout):
#Sets the company for the script. Change each company
company = JC.Company(13, "Firefly", "https://firefly.com/", "N/A")
#Running autogui for Firefly to get json links
jsonLinks = FireflyAuto.run()
jsonURL_1 = jsonLinks[0]
jsonURL_2 = jsonLinks[1]
#Requesting json data
jsonResponse_1 = requests.get(jsonURL_1, timeout=timeout)
data_1 = json.loads(jsonResponse_1.content)
jsonRepsonse_2 = requests.get(jsonURL_2, timeout=timeout)
data_2 = json.loads(jsonRepsonse_2.content)
#Creates list of titles, locations and links to the application website
titles = []
locations = []
linkIDs = []
#Parsing json data to get titles, locations, and link ID numbers
for items in data_1["jobRequisitions"]:
titles.append(items["requisitionTitle"])
try:
locations.append(
items["requisitionLocations"][0]["nameCode"]["shortName"])
linkIDs.append(
items["customFieldGroup"]["stringFields"][0]["stringValue"])
except IndexError:
locations.append("N/A")
continue
for items in data_2["jobRequisitions"]:
titles.append(items["requisitionTitle"])
try:
locations.append(
items["requisitionLocations"][0]["nameCode"]["shortName"])
linkIDs.append(
items["customFieldGroup"]["stringFields"][0]["stringValue"])
except IndexError:
locations.append("None")
continue
print("There are %s jobs to scrape. Starting scrape..." % str(len(titles)))
#Visits each job page and scrapes further info
descriptions = []
for i in range(len(titles)):
#Editing description link based on link ID numbers
link = 'https://workforcenow.adp.com/mascsr/default/careercenter/public/events/staffing/v1/job-requisitions/' + linkIDs[
i] + '?cid=241aedef-e1d0-4fca-8d2a-bb3ff0afed85&timeStamp=1563828327993&lang=en_US&ccId=19000101_000001&locale=en_US'
#HTML is found in json data. Getting json response first then parsing the html
jsonResponse = requests.get(link, timeout=timeout)
data = json.loads(jsonResponse.content)
jsonHTML = BeautifulSoup(data["requisitionDescription"], "html.parser")
desc = jsonHTML.text
title = str(titles[i])
descriptions.append(desc)
print("Job %s scraped - %s" % (str(i + 1), str(title)))
createjoblist(titles, locations, descriptions, company)
return True