-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathfnomceo_data.py
221 lines (181 loc) · 9.7 KB
/
fnomceo_data.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
import json
import re
import time
import pandas as pd
from bs4 import BeautifulSoup
from selenium.webdriver import Firefox, FirefoxOptions, Chrome, ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
file_path = 'surename.csv'
HOMEPAGE = "https://portale.fnomceo.it/cerca-prof/index.php"
data = []
def get_data(url, df):
browser_options = ChromeOptions()
driver = Chrome(options=browser_options)
# browser_options = FirefoxOptions()
# driver = Firefox(options=browser_options)
driver.get(url)
wait = WebDriverWait(driver, 10)
for outer_index, row in df.iterrows():
# sure_name_input = row["name"]
sure_name_input = "Abate"
sure_name = wait.until(EC.presence_of_element_located((By.ID, "cognomeID")))
# sure_name = driver.find_element(By.ID, "cognomeID")
search = driver.find_element(By.ID, "submitButtonID")
sure_name.send_keys(sure_name_input)
search.click()
WebDriverWait(driver, 10).until(
lambda driver: driver.execute_script('return document.readyState') == 'complete')
table_data = driver.execute_script("""
var table = $('#dataTableID').DataTable();
var data = table.rows().data();
return JSON.stringify(data);
""")
parsed_data = json.loads(table_data)
del parsed_data["context"]
del parsed_data["selector"]
del parsed_data["length"]
del parsed_data["ajax"]
keys_list = list(parsed_data.keys())
for index in keys_list:
user = {}
selected_row = parsed_data[index]
selected_row_id = selected_row[0]
user["person_id"] = selected_row_id
user["surname"] = selected_row[1]
user["first_name"] = selected_row[2]
parts = selected_row[3].split()
user["date_of_birth"] = parts[0]
user['birth_place'] = ' '.join(parts[1:])
user["province"] = selected_row[4].split("Ordine della Provincia di")[1]
script = "return await $.post('https://portale.fnomceo.it/cerca-prof/dettaglio.php', {{id: {}}})".format(
selected_row_id)
data_internal_html = driver.execute_script(script);
soup = BeautifulSoup(data_internal_html, 'html.parser')
soup_full_name = soup.find('h4', class_='modal-title text-uppercase d-print-block')
if soup_full_name:
extracted_full_name = soup_full_name.getText(strip=True)
user["full_name"] = extracted_full_name
user["prefix"] = extracted_full_name.split(" ")[0]
mult_iscrizioni = []
mult_lauree = []
mult_abilitazioni = []
mult_specializzazioni = []
mult_elenchi_speciali = []
ul_element = soup.find('ul', class_="list-group")
if ul_element:
for li_element in ul_element.find_all('li'):
li_text_value = li_element.get_text(strip=True)
li_name = li_element.find('span', class_='badge').get_text(strip=True)
li_text_value = li_text_value.replace(li_name, "")
formatted_value = re.sub(' +', ' ', li_text_value)
if li_name:
if li_name == "iscrizioni":
iscrizioni_data = {}
registrations = formatted_value.replace("\"", "").replace("'", "").split(" - ")
registration_year = registrations[0].split(" ")[-1]
# prop = registrations[1].split("Albo Provinciale dei Medici Chirurghi di")[1]
pattern = r'Ordine della Provincia di (\S+)'
match = re.search(pattern, formatted_value)
if match:
registration_province = match.group(1).replace(")", "")
second_prop = formatted_value.split("(")
registration_number = ''.join(re.findall(r'\d', second_prop[1]))
iscrizioni_data["province"] = registration_province
iscrizioni_data["year"] = registration_year
iscrizioni_data["number"] = registration_number
mult_iscrizioni.append(iscrizioni_data)
elif li_name == "lauree":
lauree_data = {}
degree = formatted_value.replace("\"", "").replace("'", "").split(" - ")
degree_year = degree[0].split(" ")[-1]
degree_name_with_uni = degree[1]
pattern = r'\((.*?)\)'
match = re.search(pattern, degree_name_with_uni)
if match:
lauree_data["university_name"] = match.group(1)
lauree_name = degree_name_with_uni.split("(")[0]
lauree_data["name"] = lauree_name
lauree_data["year"] = degree_year
mult_lauree.append(lauree_data)
elif li_name == "abilitazioni":
abilitazioni_data = {}
qualification = formatted_value.replace("\"", "").replace("'", "").split(" - ")
qualification_data = qualification[0].split("/")
qualification_year = qualification_data[0]
qualification_round = qualification_data[1]
qualification_name_with_uni = qualification[1]
pattern = r'\((.*?)\)'
match = re.search(pattern, qualification_name_with_uni)
if match:
abilitazioni_data["university_name"] = match.group(1)
qualification_name = qualification_name_with_uni.split("(")[0]
abilitazioni_data["name"] = qualification_name
abilitazioni_data["year"] = qualification_year
abilitazioni_data["round"] = qualification_round
mult_abilitazioni.append(abilitazioni_data)
elif li_name == "specializzazioni":
specializzazioni_data = {}
specializzazioni = formatted_value.replace("\"", "").replace("'", "").split(" - ")
specializzazione_year = specializzazioni[0].split(" ")[-1]
specializzazione_name_with_uni = specializzazioni[1]
pattern = r'\((.*?)\)'
match = re.search(pattern, specializzazione_name_with_uni)
if match:
specializzazioni_data["university_name"] = match.group(1)
specializzazione_name = specializzazione_name_with_uni.split("(")[0]
specializzazioni_data["specializzazione_name"] = specializzazione_name
specializzazioni_data["year"] = specializzazione_year
mult_specializzazioni.append(specializzazioni_data)
elif li_name == "elenchi speciali":
mult_elenchi_data = {}
name = formatted_value.split("TITOLO FORMAZIONE ")[-1]
mult_elenchi_data[name] = name
mult_elenchi_speciali.append(mult_elenchi_data)
if mult_iscrizioni:
user["iscrizioni"] = mult_iscrizioni
if mult_lauree:
user["lauree"] = mult_lauree
if mult_abilitazioni:
user["abilitazioni"] = mult_abilitazioni
if mult_specializzazioni:
user["specializzazioni"] = mult_specializzazioni
if mult_elenchi_speciali:
user["elenchi_speciali"] = mult_elenchi_speciali
last_updated = soup.find('p', class_="small text-muted")
if last_updated:
user['last_update_date'] = last_updated.text.split("Data aggiornamento: ")[1]
if user:
data.append(user)
# back_link = driver.find_element(By.XPATH, "/html/body/div[4]/div[1]/div/nav/a[1]")
# back_link.click()
print(f"Index: {outer_index} Name:{sure_name_input} Total_Data: {len(data)}")
if len(data) >= 10000:
break
try:
back_link = WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.XPATH, "//a[@class='nav-link' and text()='Nuova ricerca']")))
driver.execute_script("arguments[0].click();", back_link)
except Exception as e:
print(f"Error: {e}")
def export_csv(output):
df = pd.DataFrame(output)
df.to_csv("main_data.csv", index=False)
print(df)
def main():
try:
start_time = time.time()
df = pd.read_csv(file_path)
get_data(url=HOMEPAGE, df=df)
end_time = time.time()
total_time = end_time - start_time
print(f"DONE Total time taken: {total_time} seconds")
except Exception as e:
print(f"Error: {e}")
finally:
export_csv(data)
with open('data.json', 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=4)
if __name__ == '__main__':
main()