-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathscript.py
211 lines (161 loc) · 6.8 KB
/
script.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.chrome import service
import time
from pandas import ExcelWriter
import pandas as pd
from requied_details import *
driver = webdriver.Chrome()
driver.get("http://www.linkedin.com")
# assert "Python" in driver.title
time.sleep(2)
email = driver.find_element_by_name("session_key")
email.send_keys(LINKEDIN_EMAIL)
password = driver.find_element_by_name("session_password")
password.send_keys(LINKEDIN_PASSWORD)
password.send_keys(Keys.RETURN)
time.sleep(2)
data = []
for i in range(1, PAGE_COUNT+1):
driver.get(f'https://www.linkedin.com/search/results/people/?facetGeoRegion=%5B"us%3A0"%5D&keywords=CEO&origin=FACETED_SEARCH&page={i}')
for i in range(1, 1000, 15):
driver.execute_script(f"window.scrollTo(0, {i})")
time.sleep(5)
elems = driver.find_elements_by_css_selector('.search-result__info .search-result__result-link')
lst = [x.get_attribute('href') for x in elems ]
for x in elems:
href = x.get_attribute('href')
if href.find('https://www.linkedin.com/in/') != -1:
data.append(x.get_attribute('href'))
# df = pd.DataFrame({
# 'href': data,
# })
# # Create a Pandas Excel writer using XlsxWriter as the engine.
# writer = pd.ExcelWriter('linkedin_ceo_href.xlsx', engine='xlsxwriter')
# # Convert the dataframe to an XlsxWriter Excel object.
# df.to_excel(writer, sheet_name='Sheet1')
# # Close the Pandas Excel writer and output the Excel file.
# writer.save()
names, emails, phone_numbers, locations, current_positions, exps, companies, abouts, academies, degrees, interests, twitters, websites = ([] for i in range(13))
for link in data:
driver.get(link)
time.sleep(3)
for i in range(1, 1500, 15):
driver.execute_script(f"window.scrollTo(0, {i})")
time.sleep(5)
# Getting Experience
experiences = driver.find_elements_by_css_selector('.pv-entity__position-group-pager')
for experience in experiences:
company_name, current_position, exp, about = ('N/A' for i in range(4))
try:
current_position = experience.find_elements_by_css_selector('.t-14.t-black.t-bold span')[1].text
company_name = experience.find_elements_by_css_selector('.t-16.t-black.t-bold span')[1].text
exp = experience.find_elements_by_css_selector('.t-14.t-black.t-normal span')[1].text
print(f'{company_name} | {current_position} | {exp}')
except Exception as e:
# print(e)
try:
company_name = experience.find_element_by_css_selector('.pv-entity__secondary-title.t-14.t-black.t-normal').text
current_position = experience.find_element_by_css_selector('.t-16.t-black.t-bold').text
exp = experience.find_element_by_css_selector('.pv-entity__bullet-item-v2').text
print(f'{company_name} | {current_position} | {exp}')
except Exception as ef:
print(ef)
break
# Getting Education
educations = driver.find_elements_by_css_selector('.pv-profile-section__list-item')
tmp_academy, tmp_degree, tmp_interest = [], [], []
for education in educations:
academy_name, degree_title, interest = ('N/A' for i in range(3))
try:
academy_name = education.find_element_by_css_selector('.pv-entity__degree-info h3').text
degree_title = education.find_elements_by_css_selector('.pv-entity__degree-info p span')[1].text
print(academy_name, degree_title)
except Exception as e:
print(e)
tmp_academy.append(academy_name)
tmp_degree.append(degree_title)
# GETTING INTERESTS
try:
interest = driver.find_elements_by_css_selector('.pv-entity__summary-title-text')
for inter in interest:
tmp_interest.append(inter.text)
tmp_interest = (' | '.join( x for x in tmp_interest if x != 'N/A'))
except Exception as e:
print(e)
tmp_academy = (' | '.join( x for x in tmp_academy if x != 'N/A'))
tmp_degree = (' | '.join(x for x in tmp_degree if x != 'N/A'))
academies.append(tmp_academy)
degrees.append(tmp_degree)
interests.append(tmp_interest)
try:
see_more_button = driver.find_element_by_css_selector('.lt-line-clamp__more')
driver.execute_script("arguments[0].click();", see_more_button)
about = driver.find_element_by_css_selector('.lt-line-clamp__raw-line').text
except Exception as e:
print(e)
abouts.append(about)
companies.append(company_name)
current_positions.append(current_position)
exps.append(exp)
# Initializing required values
name = driver.find_element_by_css_selector('.inline.t-24.t-black.t-normal.break-words').text
email = 'N/A'
phone_number = 'N/A'
twitter = 'N/A'
website = 'N/A'
location = driver.find_element_by_css_selector('.t-16.t-black.t-normal.inline-block').text
contry = 'N/A'
# Changing URL to contact info
contact_link = link + 'detail/contact-info/'
driver.get(contact_link)
# For getting Email Address:
em = driver.find_elements_by_css_selector('.ci-email div a')
for x in em:
email = x.text
break
# For getting Phone Number:
pn = driver.find_elements_by_css_selector('.ci-phone ul li .t-14.t-black.t-normal')
for x in pn:
phone_number = x.text
break
# For getting Twitter link:
tw = driver.find_elements_by_css_selector('.ci-twitter ul li .t-14.t-black.t-normal')
for x in tw:
twitter = x.get_attribute("href")
break
# For getting Website link:
web = driver.find_elements_by_css_selector('.ci-websites ul li div .t-14.t-black.t-normal')
for x in web:
website = x.get_attribute("href")
break
names.append(name)
emails.append(email)
phone_numbers.append(phone_number)
locations.append(location)
twitters.append(twitter)
websites.append(website)
# print(f'{name} | {email} | {phone_number} | {location}')
print(len(data))
df = pd.DataFrame({
'Name': names,
'Email': emails,
'Phone Number': phone_numbers,
'Twitter': twitters,
'Website': websites,
'Location': locations,
'Current Position': current_positions,
'Current Company': companies,
'Experience': exps,
'Education Institute': academies,
'Education Degree': degrees,
'Interests': interests,
'About': abouts
})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter( f'{NAME_OF_OUTPUT_FILE}.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1')
writer.save()
# assert "No results found." not in driver.page_source
driver.close()