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daprofiler
GitHub Repository: daprofiler/DaProfiler
 Path: blob/main/modules/social_medias/copainsdavant_search.py
235 views
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import requests, json

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from bs4 import BeautifulSoup

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from modules.face_recognition import face_recon

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from colorama import Fore

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def check_response(url):

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    r = requests.get(url,allow_redirects=False)

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    status = r.status_code

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    if status == 200:

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        return True

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    else:

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        return None

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def copains_davant(name,pren):

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    headers = {

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        'Accept':'application/json, text/javascript, */*; q=0.01',

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        'X-Requested-With':'XMLHttpRequest'

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    }

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    r = requests.get(url='http://copainsdavant.linternaute.com/s/?full=&q={} {}&ty=1&xhr='.format(pren,name),headers=headers)

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    try:

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        pagephone = r.content.decode().split(',"$data":')[1].split('{"copains":')[1]

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        dataa = pagephone[:-2]

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        data = json.loads(dataa)

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        users_list = data['users']

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        user_list = []

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        for i in users_list:

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            i = str(i).strip()

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            if i != "0":

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                user_list.append(i)

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        new_verified = []

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        for i in user_list:

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            url = "https://copainsdavant.linternaute.com/p/{}-{}-{}".format(pren,name,i)

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            response_code = check_response(url)

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            if response_code is not None:

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                new_verified.append(url)

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        profil_url = new_verified[0]

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        r = requests.get(allow_redirects=False,url='{}'.format(profil_url))

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        pagephone = r.content

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        featuresphone = "html.parser"

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        soup = BeautifulSoup(pagephone,featuresphone)

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        try:

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            localisation = str(soup.find('span',{'class':'locality'}).text)

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            naissance = str(soup.find('abbr',{'class':'bday'}).text.strip())

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            name_full = str(soup.find('a',{'class':'url'}).text.strip())

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            photo = str(soup.find('img',{'itemprop':'logo'})).split('itemprop="logo" src="')[1].split('"')[0]

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            locations = soup.find_all('span',{'class':'copains_career__city jCcareerTown'})

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            dates     = soup.find_all('span',{'class':'copains_career__date jCareerDate'})

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            location_list = []

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            for i in range(len(locations)):

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                locat = locations[i].text.strip()

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                dat   = dates[i].text.replace('maintenant','Now').strip()

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                data = dat+" | "+locat

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                if data not in location_list:

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                    temp_list = []

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                    for i in location_list:

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                        if locat in i:

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                            temp_list.append('.')

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                    if len(temp_list) == 0:

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                        location_list.append(data)

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            if len(location_list) == 0:

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                location_list = None

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            if "/anonymousL.jpg" in photo:

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                photo = "None"

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                face_detection = None

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            else:

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                print("🧠 Face detection via CopainsDavant profile picture ...")

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                face_detection = face_recon.check(photo)

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                if face_detection is not None:

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                    print("   ->"+Fore.GREEN+" Face successfully found ! "+Fore.RESET)

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                    face_detection = True

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            card = soup.find('section',{'id':'vcard'}).text.strip()

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            job = "None"

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            nb_kids = "None"

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            situation_familiale = "None"

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            if "Situation familiale" in card:

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                situation_familiale = card.split('Situation familiale :')[1].split(' ')[0].strip()

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                situation_familiale = situation_familiale.strip()

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            if "Profession" in card:

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                job = card.split('Profession :')[1].split(' ')[0]

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                job = " ".join(job.split()).split(' ')[0]

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            if "Enfant" in card:

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                nb_kids = card.split("Enfants :")[1].split(" ")[0]

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            text = {'Face_detection':face_detection,'Other_locations':location_list,'url_full':'{}'.format(profil_url),'familial_situation':str(situation_familiale).replace('Enfants','').replace('Aucune','').strip(),'full_name':str(name_full),'born':str(naissance),'localisation':str(localisation),

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                "nb_enfants":str(nb_kids).strip(),"Job":str(job).strip(),'pdp':str(photo),    

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            }

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            return text

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        except AttributeError:

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            return None

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    except IndexError:

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        return None

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