-
Notifications
You must be signed in to change notification settings - Fork 4
/
step_1.py
367 lines (277 loc) · 13.9 KB
/
step_1.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
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
from selenium import webdriver
import time
import getpass
import copy
from scrapy.selector import Selector
import json
waitseconds = 5
class Step2:
def __init__(self):
# The Final Result we are looking for
final_profiles = []
# Get all search result html file paths from `temp/step_1/file_paths.json` file
last_step_directory = 'temp/step_1/'
f = open(file=last_step_directory + 'file_paths.json', mode='rb')
file_paths = json.loads(f.read().decode('utf-8'))
f.close()
# Parse Downloaded HTML files 1 by 1
count = 1
for each_html in file_paths:
parser = SaleNavigatorProfileHtmlParser(each_html)
parser.extract_profile()
final_profiles += parser.extracted_result()
# print(parser.extracted_result())
print("%s html file parsed" % (str(count)))
count += 1
# Save Parsed Result to `temp/step_2/final_profiles.json` file
step_directory = 'temp/step_2/'
f = open(file=step_directory + 'final_profiles.json', mode='wb')
f.write(json.dumps(final_profiles).encode('utf-8'))
f.close()
print("We have parsed all the search result pages of step1")
print("Step 2 Finished !")
class SaleNavigatorProfileHtmlParser:
# TODO: Xpath in Sales Navigator Search Result Pages
xpath_card = """//*[@id="results-list"]/li"""
xpath_contact_linkedin_profile_url = """//li/div[@class="content-wrapper"]//*[@class="name"]/*[concat('https://www.linkedin.com', @href)]/@href"""
xpath_name = """//li/div[@class="content-wrapper"]/div//*[@class="name"]/*/@title"""
xpath_title = """//li/div[@class="content-wrapper"]//p[@class="info-value"][1]/text() | //li/div[@class="content-wrapper"]//p[@class="info-value"][1]/*/text()"""
xpath_time_in_role = """//li/div[@class="content-wrapper"]//*[@class="info-value"][contains(text(), 'role')]/text()"""
xpath_contact_location = """//li/div[@class="content-wrapper"]//*[@class="info-value"][last()]/text() | //li/div[@class="content-wrapper"]//*[@class="info-value"][last()]/*/text()"""
xpath_company = """//li/div[@class="content-wrapper"]//*[contains(@class, 'company-name')]/@title"""
xpath_company_profile_linkedin_url = """//li/div[@class="content-wrapper"]//a[contains(@class, 'company-name')][concat('https://www.linkedin.com', @href)]/@href"""
def __init__(self, html_file):
# Final profiles
self.final_profiles = []
# Read a html file
f = open(file=html_file, mode='rb')
self.html = f.read().decode('utf-8')
f.close()
def extract_profile(self):
# Extract contact card
cards = None
try:
cards = Selector(text=self.html).xpath(self.xpath_card).extract()
except:
print("Please make sure you passed reCAPTCHA before enter something")
if len(cards) > 1:
for each_card in cards:
self.extract_and_append_profiles(each_card)
else:
pass
def extract_and_append_profiles(self, each_card):
linked_in_sales_navigator_person_template = {
'title': str()
# Person information
,'name' : str()
,'first_name' : str()
,'last_name' : str()
,'time_in_role' : str()
,'twitter' : str()
,'contact_linkedin_profile_url' : str()
,'contact_location' : str()
# Company information
,'company' : str()
,'company_size' : str()
,'industry' : str()
,'company_profile_linkedin_url' : str()
,'company_website' : str()
}
# TODO: Remove xpath that doesn't belongs to linkedin sales navigator search html
for each_title in Selector(text=each_card).xpath(self.xpath_title).extract():
linked_in_sales_navigator_person_template['title'] += (copy.deepcopy(each_title))
linked_in_sales_navigator_person_template['name'] = Selector(text=each_card).xpath(
self.xpath_name).extract_first(default='NOPE NOPE')
try:
if len(linked_in_sales_navigator_person_template['name'].split(' ')) >= 2:
linked_in_sales_navigator_person_template['first_name'] = \
linked_in_sales_navigator_person_template['name'].split(' ')[0]
linked_in_sales_navigator_person_template['last_name'] = \
linked_in_sales_navigator_person_template['name'].split(' ')[1]
else:
linked_in_sales_navigator_person_template['first_name'] = \
linked_in_sales_navigator_person_template['name']
linked_in_sales_navigator_person_template['last_name'] = \
linked_in_sales_navigator_person_template['name']
except:
linked_in_sales_navigator_person_template['first_name'] = \
linked_in_sales_navigator_person_template['name']
linked_in_sales_navigator_person_template['last_name'] = \
linked_in_sales_navigator_person_template['name']
for each_role in Selector(text=each_card).xpath(self.xpath_time_in_role).extract():
linked_in_sales_navigator_person_template['time_in_role'] += (copy.deepcopy(each_role))
linked_in_sales_navigator_person_template['contact_linkedin_profile_url'] = "https://www.linkedin.com" + Selector(text=each_card).xpath(
self.xpath_contact_linkedin_profile_url).extract_first(default='/')
for each_location in Selector(text=each_card).xpath(self.xpath_contact_location).extract():
linked_in_sales_navigator_person_template['contact_location'] += (copy.deepcopy(each_location))
for each_company in Selector(text=each_card).xpath(self.xpath_company).extract():
linked_in_sales_navigator_person_template['company'] += (copy.deepcopy(each_company))
linked_in_sales_navigator_person_template['company_profile_linkedin_url'] = "https://www.linkedin.com" + Selector(text=each_card).xpath(
self.xpath_company_profile_linkedin_url).extract_first(default='/')
self.final_profiles.append(copy.deepcopy(linked_in_sales_navigator_person_template))
def extracted_result(self):
return copy.deepcopy(self.final_profiles)
class Step3:
def __init__(self, driver):
# Get all User's profile links from step_2
last_step_directory = 'temp/step_2/'
f = open(file=last_step_directory + 'final_profiles.json', mode='rb')
self.final_profiles = json.loads(f.read().decode('utf-8'))
f.close()
self.profile_total = len(self.final_profiles)
# Selenium initialization
self.driver = driver
def run(self):
for index in range(0, self.profile_total):
if 'contact_linkedin_profile_url' in self.final_profiles[index]:
self.download_linkedin_personal_profile_page(self.final_profiles[index]['contact_linkedin_profile_url'], index)
def download_linkedin_personal_profile_page(self, profile_url, index):
# TODO: Check if this time is enough to load profile page
self.driver.get(str(profile_url))
# TODO: time
time.sleep(waitseconds)
# Save Opened Profile Page
step_directory = 'temp/step_3/'
f = open(file=step_directory + str(index) + '.html', mode='wb')
f.write(self.driver.page_source.encode('utf-8'))
f.close()
class Step4:
def __init__(self):
# Get final user profiles from step2
step_2_directory = 'temp/step_2/'
f = open(file=step_2_directory + 'final_profiles.json', mode='rb')
final_profiles = json.loads(f.read().decode('utf-8'))
f.close()
# Parse each user's personal profile page and insert extracted data
total_profiles = len(final_profiles)
for index in range(0, total_profiles):
self.extract_and_append_person_information(final_profiles, index)
# Save new final profile
step_directory = 'temp/step_4/'
f = open(file=step_directory + 'final_profiles.json', mode='wb')
f.write(json.dumps(final_profiles).encode('utf-8'))
f.close()
def extract_and_append_person_information(self, profile, index):
# Get the person's profile html
last_step_directory = 'temp/step_3/'
parser = PersonalProfileHtmlParser(last_step_directory + str(index) + '.html', profile, index)
parser.extract_and_insert_personal_information()
class PersonalProfileHtmlParser:
# TODO: Xpath in Personal Profile Page
xpath_twitter = """//a[contains(@href, 'twitter')]/@href"""
def __init__(self, html_file, profile, index):
# Read a html file
f = open(file=html_file, mode='rb')
self.html = f.read().decode('utf-8')
f.close()
self.profile = profile
self.index = index
def extract_and_insert_personal_information(self):
# TODO: Remove xpath that doesn't belongs to personal profile page
self.profile[self.index]['twitter'] = Selector(text=self.html).xpath(self.xpath_twitter).extract_first(default='NOPE')
class Step5:
def __init__(self, driver):
# Get all User's profile links from step_4
last_step_directory = 'temp/step_4/'
f = open(file=last_step_directory + 'final_profiles.json', mode='rb')
self.final_profiles = json.loads(f.read().decode('utf-8'))
f.close()
self.profiles_total = len(self.final_profiles)
# Selenium initialization
self.driver = driver
def run(self):
for index in range(0, self.profiles_total):
if 'company_profile_linkedin_url' in self.final_profiles[index]:
self.download_linkedin_company_profile_page(self.final_profiles[index]['company_profile_linkedin_url'], index)
def download_linkedin_company_profile_page(self, company_profile_url, index):
# TODO: Check if this time is enough to load profile page
self.driver.get(str(company_profile_url))
# TODO: time
time.sleep(waitseconds)
# Save Opened Profile Page
step_directory = 'temp/step_5/'
f = open(file=step_directory + str(index) + '.html', mode='wb')
f.write(self.driver.page_source.encode('utf-8'))
f.close()
if __name__ == '__main__':
driver = webdriver.Firefox(executable_path=r'geckodriver.exe')
username = input("Please enter your LinkedIn Username: ")
password = getpass.getpass("Please enter your LinkedIn Password: ")
sales_navigator_url = input("Please enter a LinkedIn Sales Navigator URL: ")
# Switch to LinkedIn Login Page
driver.get("https://www.linkedin.com/")
# TODO: time
time.sleep(waitseconds)
# Login to Linked In
xpath_user_name = """//*[@id="login-email"]"""
xpath_password = """//*[@id="login-password"]"""
xpath_login = """//*[@id="login-submit"]"""
driver.find_element_by_xpath(xpath_user_name).send_keys(str(username).strip())
driver.find_element_by_xpath(xpath_password).send_keys(str(password).strip())
driver.find_element_by_xpath(xpath_login).click()
# TODO: time
time.sleep(waitseconds)
key = input("Enter any key when you have finished reCAPCHA verification: ")
# Open LinkedIn Sales Navigator URL
driver.get(str(sales_navigator_url))
# TODO: time
time.sleep(waitseconds)
# Download all search result pages to temp/step_1/ folder
sales_navigator_search_result_html_paths = []
# TODO: Xpath of Next_Page Button
xpath_next_page = """//*[@id="pagination"]/a[2][not(contains(@class, 'disabled'))]"""
step_directory = 'temp/step_1/'
next_button = None
while True:
next_button = Selector(text=driver.page_source).xpath(xpath_next_page).extract_first()
if next_button is None:
waitseconds += 1
time.sleep(1)
if waitseconds >= 15:
print("Please check your linkedin sales navigator url and your internet connection")
else:
waitseconds -= 1
break
index = 0
while True:
# Find next_button
next_button = Selector(text=driver.page_source).xpath(xpath_next_page).extract_first()
# Save this page to file
html_file_path = step_directory + str(index) + '.html'
f = open(file=html_file_path, mode='wb')
f.write(driver.page_source.encode('utf-8'))
f.close()
# Append this file's path to list
sales_navigator_search_result_html_paths.append(html_file_path)
if next_button is not None:
# Go to the next page
driver.find_element_by_xpath(xpath_next_page).click()
# TODO: time
time.sleep(waitseconds)
index += 1
else:
break
# Save file's paths to a json file
json_string = json.dumps(sales_navigator_search_result_html_paths)
json_file_path = step_directory + 'file_paths' + '.json'
f = open(file=json_file_path, mode='wb')
f.write(json_string.encode('utf-8'))
f.close()
print("We have saved all the search result pages in to step1 folder")
print("Total: %s pages collected" % (len(sales_navigator_search_result_html_paths)))
print("We will parse search result pages next.")
print("Step 1 Finished !")
Step2()
program = Step3(driver)
program.run()
print("We have downloaded all users' personal profile page")
print("Step 3 Finished !")
Step4()
print("We have parsed all users' personal profile page")
print("Step 4 Finished !")
program = Step5(driver)
program.run()
print("We have downloaded all users' company profile page")
print("Step 5 Finished !")
# Close the browser
driver.close()