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ratings = review.find_element_by_class_name('gdStars')
subratings = ratings.find_element_by_class_name(
'subRatings').find_element_by_tag_name('ul')
this_one = subratings.find_elements_by_tag_name('li')[i]
res = this_one.find_element_by_class_name(
'gdBars').get_attribute('title')
except Exception:
res = np.nan
return res
def scrape_work_life_balance(review):
return _scrape_subrating(0)
def scrape_culture_and_values(review):
return _scrape_subrating(1)
def scrape_career_opportunities(review):
return _scrape_subrating(2)
def scrape_comp_and_benefits(review):
return _scrape_subrating(3)
def scrape_senior_management(review):
return _scrape_subrating(4)
def scrape_recommends(review):
try:
res = review.find_element_by_class_name('recommends').text
res = res.split('\n')
return res[0]
except:
return np.nan
def scrape_outlook(review):
try:
res = review.find_element_by_class_name('recommends').text
res = res.split('\n')
if len(res) == 2 or len(res) == 3:
if 'CEO' in res[1]:
return np.nan
return res[1]
return np.nan
except:
return np.nan
def scrape_approve_ceo(review):
try:
res = review.find_element_by_class_name('recommends').text
res = res.split('\n')
if len(res) == 3:
return res[2]
if len(res) == 2:
if 'CEO' in res[1]:
return res[1]
return np.nan
except:
return np.nan
funcs = [
scrape_date,
scrape_emp_title,
scrape_location,
scrape_status,
scrape_rev_title,
scrape_helpful,
scrape_pros,
scrape_cons,
scrape_advice,
scrape_overall_rating,
scrape_work_life_balance,
scrape_culture_and_values,
scrape_career_opportunities,
scrape_comp_and_benefits,
scrape_senior_management,
scrape_recommends,
scrape_outlook,
scrape_approve_ceo
]
fdict = dict((s, f) for (s, f) in zip(SCHEMA, funcs))
return fdict[field](review)
def extract_from_page():
def is_featured(review):
try:
review.find_element_by_class_name('featuredFlag')
return True
except selenium.common.exceptions.NoSuchElementException:
return False
def extract_review(review):
try:
author = review.find_element_by_class_name('authorInfo')
except: