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glassdoor_scraper.py
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# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
from selenium.common.exceptions import (
NoSuchElementException,
ElementClickInterceptedException,
)
from selenium import webdriver
import time
import pandas as pd
# %%
def get_jobs(keyword, num_jobs, verbose, path, slp_time):
"""Gathers jobs as a dataframe, scraped from Glassdoor"""
# Uncomment the line below if you'd like to scrape without a new Chrome window every time.
# Initializing the webdriver
# options = webdriver.ChromeOptions()
options = webdriver.FirefoxOptions()
# options.add_argument('headless')
# Change the path to where chromedriver/FireFox-driver is in your home folder.
driver = webdriver.Firefox(executable_path=path, options=options)
driver.set_window_size(1120, 1000)
url = "https://www.glassdoor.com/Job/jobs.htm?suggestCount=0&suggestChosen=false&clickSource=searchBtn&typedKeyword="+keyword+"&sc.keyword="+keyword+"&locT=&locId=&jobType="
# url = "https://www.glassdoor.co.in/Job/data-scientist-jobs-SRCH_KO0,14.htm?countryRedirect=true"
driver.get(url)
jobs = []
while len(
jobs) < num_jobs: # If true, should be still looking for new jobs.
# Let the page load. Change this number based on your internet speed.
# Or, wait until the webpage is loaded, instead of hardcoding it.
time.sleep(slp_time)
# Test for the "Sign Up" prompt and get rid of it.
try:
driver.find_element_by_class_name("selected").click()
except ElementClickInterceptedException:
pass
time.sleep(0.1)
try:
# driver.find_element_by_class_name(
# "ModalStyle__xBtn___29PT9").click() # clicking to the X.
driver.find_element_by_css_selector('[alt="Close"]').click()
except NoSuchElementException:
pass
# Going through each job in this page
job_buttons = driver.find_elements_by_class_name(
"jl"
) # jl for Job Listing. These are the buttons we're going to click.
for job_button in job_buttons:
print("Progress: {}".format("" + str(len(jobs)) + "/" +
str(num_jobs)))
if len(jobs) >= num_jobs:
break
job_button.click() # You might
time.sleep(1)
collected_successfully = False
while not collected_successfully:
try:
company_name = driver.find_element_by_xpath(
'.//div[@class="employerName"]').text
location = driver.find_element_by_xpath(
'.//div[@class="location"]').text
job_title = driver.find_element_by_xpath(
'.//div[contains(@class, "title")]').text
job_description = driver.find_element_by_xpath(
'.//div[@class="jobDescriptionContent desc"]').text
collected_successfully = True
except:
time.sleep(5)
try:
# salary_estimate = driver.find_element_by_xpath(
# './/span[@class="Salary"]').text
salary_estimate = driver.find_element_by_css_selector(
'[class="css-1uyte9r css-hca4ks e1wijj242"]').text
except NoSuchElementException:
salary_estimate = -1
# You need to set a "not found value. It's important."
try:
rating = driver.find_element_by_xpath(
'.//span[@class="rating"]').text
except NoSuchElementException:
rating = -1 # You need to set a "not found value. It's important."
# Printing for debugging
if verbose:
print("Job Title: {}".format(job_title))
print("Salary Estimate: {}".format(salary_estimate))
print("Job Description: {}".format(job_description[:500]))
print("Rating: {}".format(rating))
print("Company Name: {}".format(company_name))
print("Location: {}".format(location))
# Going to the Company tab...
# clicking on this:
# <div class="tab" data-tab-type="overview"><span>Company</span></div>
try:
driver.find_element_by_xpath(
'.//div[@class="tab" and @data-tab-type="overview"]'
).click()
try:
# <div class="infoEntity">
# <label>Headquarters</label>
# <span class="value">San Francisco, CA</span>
# </div>
headquarters = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Headquarters"]//following-sibling::*'
).text
except NoSuchElementException:
headquarters = -1
try:
size = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Size"]//following-sibling::*'
).text
except NoSuchElementException:
size = -1
try:
founded = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Founded"]//following-sibling::*'
).text
except NoSuchElementException:
founded = -1
try:
type_of_ownership = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Type"]//following-sibling::*'
).text
except NoSuchElementException:
type_of_ownership = -1
try:
industry = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Industry"]//following-sibling::*'
).text
except NoSuchElementException:
industry = -1
try:
sector = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Sector"]//following-sibling::*'
).text
except NoSuchElementException:
# sector = -1
sector = -1
try:
revenue = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Revenue"]//following-sibling::*'
).text
except NoSuchElementException:
revenue = -1
try:
competitors = driver.find_element_by_xpath(
'.//div[@class="infoEntity"]//label[text()="Competitors"]//following-sibling::*'
).text
except NoSuchElementException:
competitors = -1
except NoSuchElementException: # Rarely, some job postings do not have the "Company" tab.
headquarters = -1
size = -1
founded = -1
type_of_ownership = -1
industry = -1
sector = -1
revenue = -1
competitors = -1
if verbose:
print("Headquarters: {}".format(headquarters))
print("Size: {}".format(size))
print("Founded: {}".format(founded))
print("Type of Ownership: {}".format(type_of_ownership))
print("Industry: {}".format(industry))
print("Sector: {}".format(sector))
print("Revenue: {}".format(revenue))
print("Competitors: {}".format(competitors))
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
jobs.append({
"Job Title": job_title,
"Salary Estimate": salary_estimate,
"Job Description": job_description,
"Rating": rating,
"Company Name": company_name,
"Location": location,
"Headquarters": headquarters,
"Size": size,
"Founded": founded,
"Type of ownership": type_of_ownership,
"Industry": industry,
"Sector": sector,
"Revenue": revenue,
"Competitors": competitors,
})
# add job to jobs
# Clicking on the "next page" button
try:
driver.find_element_by_xpath('.//li[@class="next"]//a').click()
except NoSuchElementException:
print(
"Scraping terminated before reaching target number of jobs. Needed {}, got {}."
.format(num_jobs, len(jobs)))
break
return pd.DataFrame(
jobs
) # This line converts the dictionary object into a pandas DataFrame.
# # %%
# # This line will open a new chrome/FireFox window and start the scraping.
# df = get_jobs("data scientist", 5, False)
# df