Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
daprofiler
GitHub Repository: daprofiler/DaProfiler
 Path: blob/main/modules/diplomes/last_diplomes.py
235 views
1
import requests

2
from bs4 import BeautifulSoup

3


4
def last_diplomes_bac(name,pren):

5
    url = f'https://resultats.etudiant.lefigaro.fr/resultats-bac/recherche?name={pren} {name}&city_label=&city_insee='

6
    r = requests.get(url)

7
    page = r.content

8
    features = "html.parser"

9
    soup = BeautifulSoup(page, features)

10
    profiles = soup.find_all('td',{'class':'svelte-11did2l'})   

11
    listt = [] 

12
    for i in profiles:

13
        if len(listt) == 1:

14
            subject = listt[0]

15
            link = "https://resultats.etudiant.lefigaro.fr"+subject.split('href="')[1].split('">')[0]

16


17
            academie = None

18
            mention  = None

19
            ville    = None

20
            diplome  = None

21


22
            r        = requests.get(link)

23
            page     = r.content

24
            features = "html.parser"

25
            soup     = BeautifulSoup(page, features)

26


27
            mention  = soup.find('span',{'class':'block text-4xl text-red'}).text.split('"')[1].split('"')[0]

28
            diplome  = soup.find('p',{'class':'text-grey-600 mb-1'}).text.strip()

29
            academie = soup.find('div',{'class':'flex flex-col items-center sm:flex-row flex-wrap gap-5'}).text.split(',')[1].strip()

30
            city     = soup.find('a',{'class':'capitalize underline'}).text.strip()

31


32
            json_output = {

33
                'Exists':True,

34
                'academie':academie,

35
                'Link':link,

36
                'mention':mention,

37
                'ville':city,

38
                'Diplome':diplome

39
            }

40
            return json_output

41
        elif len(listt) == 0:

42
            profile = str(i).lower()

43
            if pren.lower() in profile and name.lower() in profile:

44
                    listt.append(profile)

45


46
                    

47
def last_diplomes_brevet(name,pren):

48
    url = f'https://resultats.etudiant.lefigaro.fr/resultats-brevet/recherche?name={pren} {name}&city_label=&city_insee='

49
    r = requests.get(url)

50
    page = r.content

51
    features = "html.parser"

52
    soup = BeautifulSoup(page, features)

53
    profiles = soup.find_all('div',{'class':'bg-white p-2'})    

54
    for i in profiles:

55
        profile = str(i).lower()

56
        if pren.lower() in profile and name.lower() in profile:

57
            url = "https://resultats.etudiant.lefigaro.fr"+profile.split('href')[1].split('"')[1]

58
            r = requests.get(url)

59
            page = r.content

60
            features = "html.parser"

61
            soup = BeautifulSoup(page, features)

62
            

63
            profile = soup.find('div',{'class':'box'})

64
            mention = soup.find('span',{'class':'block text-4xl text-red'})

65
            diplome = soup.find('p',{'class':'text-grey-600 mb-1'})

66


67
            diplome    = str(diplome).split('text-grey-600 mb-1">')[1].split('</p>')[0]

68
            nom_prenom = str(profile).split('h1>')[1].split('<span')[0]

69
            ville      = str(profile).split('capitalize">')[1].split('</span>')[0]

70
            academie   = str(profile).split('(')[1].split(')')[0]

71
            mention    = str(mention).split('class="block text-4xl text-red">')[1].split('</span>')[0]

72


73


74
            json_output = {

75
                'Exists':True,

76
                "Name":nom_prenom.strip(),

77
                'academie':academie,

78
                'Link':url,

79
                'mention':mention,

80
                'ville':ville,

81
                'Diplome':diplome

82
            }

83
            return json_output

84


85