/
ScrapedIn.py
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/
ScrapedIn.py
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#!/usr/bin/python
__title__ = "ScrapeIn - Tool to Scrape LinkedIn"
__author__ = '(disk0nn3ct) Danny Chrastil'
__email__ = 'danny.chrastil@gmail.com'
__description__ = "A recon tool that allows you to scrape profile search results from LinkedIn"
__disclaimer__ = "This tool violates TOS of LinkedIn.com. For educational purposes only. Use at your own risk"
__version__ = '4.0'
import os
import sys
import re
import time
import xlsxwriter
import json
import argparse
import requests
import subprocess
import urllib
import math
import config
from thready import threaded
from termcolor import colored
""" Setup Argument Parameters """
parser = argparse.ArgumentParser(description='Discovery LinkedIn')
args = parser.parse_args()
def get_search():
# Fetch the initial page to get results/page counts
url = "https://www.linkedin.com/voyager/api/graphql?variables=(start:0,origin:FACETED_SEARCH,query:(flagshipSearchIntent:SEARCH_SRP,queryParameters:List((key:currentCompany,value:List(%s)),(key:resultType,value:List(PEOPLE)),(key:title,value:List(%s))),includeFiltersInResponse:false))&queryId=voyagerSearchDashClusters.994bf4e7d2173b92ccdb5935710c3c5d" % (company, search)
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
content = json.loads(r.text)
data_total = content['data']['searchDashClustersByAll']['metadata']['totalResultCount']
# Calculate pages off final results at 40 results/page
pages = math.ceil(data_total / 50)
if data_total % 50 == 0:
pages = pages - 1
if pages == 0:
pages = 1
print(colored("[Info] ","green"), colored("%i Results Found" % data_total,"white"))
if data_total > 1000:
pages = 19
print(colored("[Notice]","yellow"), colored("LinkedIn only allows 1000 results. Refine keywords to capture all data","white"))
print(colored("[Info] ","green"), colored("Fetching %i Pages" % pages,"white"))
# Set record position for XLSX
recordpos = 1
for p in range(pages):
# Request results for each page using the start offset
url = "https://www.linkedin.com/voyager/api/graphql?variables=(start:%s,count:50,origin:FACETED_SEARCH,query:(flagshipSearchIntent:SEARCH_SRP,queryParameters:List((key:currentCompany,value:List(%s)),(key:resultType,value:List(PEOPLE)),(key:title,value:List(%s))),includeFiltersInResponse:false))&queryId=voyagerSearchDashClusters.994bf4e7d2173b92ccdb5935710c3c5d" % (str(p*50), company, search)
r = requests.get(url, cookies=cookies, headers=headers)
content = r.text.encode('UTF-8')
content = json.loads(content)
try:
content = content['data']['searchDashClustersByAll']['elements'][1]['items']
except:
content = content['data']['searchDashClustersByAll']['elements'][0]['items']
print(colored("[Info] ","green"), colored("Fetching page %s/%s with %s results" % (p+1,pages,len(content)),"white"))
for c in content:
cc = c['item']['entityResult']
if cc['entityCustomTrackingInfo']['memberDistance'] != 'OUT_OF_NETWORK':
data_memberid = cc['trackingUrn']
data_title = cc['title']['text'].split(" ")
data_firstname = data_title[0]
try:
data_lastname = data_title[1]
except:
data_lastname = ""
data_slug = cc['navigationUrl']
try:
data_occupation = cc['primarySubtitle']['text']
except:
data_occupation = ""
try:
data_location = cc['secondarySubtitle']['text']
except:
data_location = ""
try:
data_picture = cc['image']['attributes'][0]['detailData']['nonEntityProfilePicture']['vectorImage']['artifacts'][0]['fileIdentifyingUrlPathSegment']
except:
data_picture = ""
#print("[Notice] No picture found for %s %s, %s" % (data_firstname, data_lastname, data_occupation))
# Formulate Email Address
if email != None:
emailaddress = email.replace("{first}",data_firstname)
emailaddress = emailaddress.replace("{last}",data_lastname)
emailaddress = emailaddress.replace("{f}",data_firstname[0:1])
emailaddress = emailaddress.replace("{l}",data_lastname[0:1])
emailaddress = emailaddress.lower()
data_email = emailaddress
# url = "https://www.linkedin.com/sales/gmail/profile/viewByEmail/%s" % emailaddress
# r = requests.get(url, cookies=cookies, headers=headers)
# emailresp = r.text.encode('UTF-8')
# regex = data_memberid
# m = re.findall(regex, emailresp, re.MULTILINE)
# if m:
# data_email = emailaddress
# print(colored("[Update] ", "blue"), colored("Matched email: %s" % emailaddress, "white"))
# Write data to XLSX file
worksheet1.write('A%i' % recordpos, data_firstname)
worksheet1.write('B%i' % recordpos, data_lastname)
worksheet1.write('C%i' % recordpos, data_occupation)
worksheet1.write('D%i' % recordpos, data_location)
worksheet1.write('E%i' % recordpos, data_email)
worksheet1.write('F%i' % recordpos, data_slug)
worksheet1.write('G%i' % recordpos, data_picture)
worksheet2.write('A%i' % recordpos, '=IMAGE(dataset!G%i)' % recordpos)
worksheet2.write('B%i' % recordpos, '=dataset!A%i&" "&dataset!B%i&"\n"&dataset!C%i&"\n"&dataset!D%i&"\n"&dataset!E%i&"\n"&HYPERLINK(dataset!F%i)' % (recordpos, recordpos,recordpos,recordpos,recordpos,recordpos))
worksheet2.set_row(recordpos-1,125)
# Increment Record Position
recordpos = recordpos + 1
else:
try:
data_occupation = cc['primarySubtitle']['text']
except:
data_occupation = ""
print(colored("[Notice] ","yellow"), colored("Profile outside your network (%s). Skipping" % data_occupation,"white"))
#print("[Notice] Profile error. Skipping")
if config.timeout > 0:
time.sleep(config.timeout)
print(colored("[Info] ","green"), colored("Scan complete!","white"))
def companyLookup(company):
url = "https://www.linkedin.com/voyager/api/graphql?variables=(start:0,origin:GLOBAL_SEARCH_HEADER,query:(keywords:%s,flagshipSearchIntent:SEARCH_SRP,queryParameters:List((key:resultType,value:List(COMPANIES))),includeFiltersInResponse:false))&queryId=voyagerSearchDashClusters.1f5ea36a42fc3319f534af1022b6dd64" % company
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
content = r.text.encode('UTF-8')
content = r.text
content = json.loads(content)
print(colored("\n[Info] ","green"), colored("Found the following companies:","white"))
count = 0
for c in content['data']['searchDashClustersByAll']['elements'][1]['items']:
if c['item']['entityResult']['title']['text']:
c = c['item']['entityResult']
count = count + 1
print(" %s (#%s)" % ("- " + c['title']['text'], colored(c['trackingUrn'].replace('urn:li:company:',''),"yellow")))
def profileLookupID(userslug):
url = "https://www.linkedin.com/voyager/api/identity/dash/profiles?q=memberIdentity&memberIdentity=%s&decorationId=com.linkedin.voyager.dash.deco.identity.profile.FullProfileWithEntities-35" % userslug
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
profresp = r.text.encode('UTF-8')
profresp = json.loads(profresp)
# Extract Basic Profile Info
print(colored("\n[Info] ","green"), colored("Gathering Basic Profile Information...","white"))
data_companies = []
data_skills = []
data_schools = []
data_network = []
data_connections = []
data_urn = profresp['elements'][0]['objectUrn']
data_fname = profresp['elements'][0]['firstName']
data_lname = profresp['elements'][0]['lastName']
data_location = profresp['elements'][0]['locationName']
data_industry = profresp['elements'][0]['industry']['name']
data_headline = profresp['elements'][0]['headline']
for d in profresp['elements'][0]['profilePositionGroups']['elements']:
data_companies.append("%s" % d['companyName'])
for d in profresp['elements'][0]['profileEducations']['elements']:
data_schools.append("%s" % d['schoolName'])
# Guess Profile Email Address
print(colored("[Info] ","green"), colored("Attempting to Extract Profile Email Address...","white"))
emails = []
emails.append("%s.%s@gmail.com" % (data_fname,data_lname))
emails.append("%s%s@gmail.com" % (data_fname[:1],data_lname))
for eg in emails:
data_email = profileValidateEmail(data_urn,eg.lower())
if data_email:
print(colored("[Update] ", "blue"), colored("Matched email: %s" % data_email, "white"))
break
# Collect ALL profile skills
print(colored("[Info] ","green"), colored("Gathering Relevant Profile's Network...","white"))
url = "https://www.linkedin.com/voyager/api/identity/profiles/%s/skillCategory?includeHiddenEndorsers=true" % userslug
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
skillresp = r.text.encode('UTF-8')
skillresp = json.loads(skillresp)
for e in skillresp['elements']:
for s in e['endorsedSkills']:
data_skills.append("%s (%s)" % (s['skill']['name'], s['endorsementCount']))
sguid = s['skill']['entityUrn'].split(',')[0].replace('urn:li:fs_skill:(','')
sid = s['skill']['entityUrn'].split(',')[1][:-1]
url = "https://www.linkedin.com/voyager/api/identity/profiles/%s/endorsements?count=100&includeHidden=true&pagingStart=0&q=findEndorsementsBySkillId&skillId=%s" % (sguid,sid)
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
endresp = r.text.encode('UTF-8')
endresp = json.loads(endresp)
for p in endresp['elements']:
data_network.append("%s %s (%s)" % (p['endorser']['miniProfile']['firstName'],p['endorser']['miniProfile']['lastName'],p['endorser']['miniProfile']['occupation']))
# Remove Duplicate Connections
for p in data_network:
if p not in data_connections:
data_connections.append(p)
# Write Profile Report
pout = "\n====================================================================\n"
pout = pout + "%s %s (%s)\n" % (data_fname, data_lname, data_headline)
pout = pout + "====================================================================\n"
pout = pout + "\n"
pout = pout + "Location: %s\n" % data_location
pout = pout + "Industry: %s\n" % data_industry
pout = pout + "Email: %s\n" % data_email
pout = pout + "\n"
pout = pout + "EDUCATION:\n---------------------\n"
for s in data_schools:
pout = pout + "%s\n" % s
pout = pout + "\nCOMPANIES:\n---------------------\n"
for c in data_companies:
pout = pout + "%s\n" % c
pout = pout + "\nSKILLS:\n---------------------\n"
for sk in data_skills:
pout = pout + "%s\n" % sk
pout = pout + "\nRELEVANT NETWORK CONNECTIONS:\n---------------------\n"
for n in data_connections:
pout = pout + "%s\n" % n
print(pout)
return pout
def profileValidateEmail(urn, email):
url = "https://www.linkedin.com/sales/gmail/profile/viewByEmail/%s" % email
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
emailresp = r.text.encode('UTF-8')
regex = urn
m = re.findall(regex, emailresp, re.MULTILINE)
if m:
return email
def profileLookupEmail(recordpos, email):
try:
url = "https://www.linkedin.com/sales/gmail/profile/viewByEmail/%s" % email
headers = {'Csrf-Token':'ajax:3972979001005769271'}
headers['X-RestLi-Protocol-Version'] = '2.0.0'
cookies['JSESSIONID'] = 'ajax:3972979001005769271'
r = requests.get(url, cookies=cookies, headers=headers)
emailresp = r.text.encode('UTF-8')
regex = "urn:li:member:"
m = re.findall(regex, emailresp, re.MULTILINE)
if m:
dfn = re.search('\-fname="(.*?)" data\-',emailresp, re.IGNORECASE)
data_firstname = dfn.group(1)
dln = re.search('\-lname="(.*?)">',emailresp, re.IGNORECASE)
data_lastname = dln.group(1)
print(colored("[Update] ", "blue"), colored("Matched email: %s" % email, "white"))
# Write data to XLSX file
worksheet1.write('A%i' % recordpos, data_firstname)
worksheet1.write('B%i' % recordpos, data_lastname)
worksheet1.write('C%i' % recordpos, email)
worksheet1.write('D%i' % recordpos, "https://www.linkedin.com/sales/gmail/profile/proxy/%s" % email)
# Increment Record Position
recordpos = recordpos + 1
return recordpos
except:
print(colored("[Error] ","red"), colored("Could not load data from the provided list","white"))
def authenticate():
print(colored("[Info] ","green"), colored("Initiating...", "white"))
# Grab these from config or env variables
username = os.environ.get("LI_USERNAME", "")
password = os.environ.get("LI_PASSWORD", "")
# Build request data
url = "https://www.linkedin.com/checkpoint/lg/login-submit"
csrf = "00000000-8a9a-474e-8bc1-6f10272b5fe6"
postdata = {
'session_key': username,
'session_password': password,
'loginCsrfParam': csrf,
}
cookies = {'bcookie': 'v=2&%s' % csrf}
# Login Request
r = requests.post(url, postdata, cookies=cookies, allow_redirects=False)
# LinkedIn Session Key
try:
session = r.cookies['li_at']
if(session):
print(colored("[Info] ","green"), colored("Obtained new session: %s...\n" % session[0:25],"white"))
cookie = {'li_at': session}
return cookie
else:
sys.exit("[Fatal] Could not authenticate to linkedin. Set credentials in your environment variables.")
except:
sys.exit("[Fatal] Could not authenticate to linkedin. Set credentials in your environment variables.")
if __name__ == '__main__':
title = """
__ _ _____
/ _\ ___ _ __ __ _ _ __ ___ __| | \_ \_ __
\ \ / __| '__/ _` | '_ \ / _ \/ _` | / /\/ '_ \
_\ \ (__| | | (_| | |_) | __/ (_| /\/ /_ | | | |
\__/\___|_| \__,_| .__/ \___|\__,_\____/ |_| |_|
|_|
A tool to scrape LinkedIn v3.0
"""
print(colored(title,"blue"))
# Authenticate
cookies = authenticate()
# Prompt user for ScrapedIn functions
#sifunc = input("What function do you want to perform?\n\n" + colored("1. ","yellow") + "Single Profile Scrape\n" + colored("2. ","yellow") + "Full Company Employee Scrape\n" + colored("3. ","yellow") + "Profile Match via Email List\n\n" + colored("> ","yellow"))
sifunc = "2"
if sifunc == "1":
# Prompt user for data variable
userslug= input("\nEnter the User's Slug (found in the profile URL)\n" + colored("> ","yellow"))
outfile = input("\nEnter filename for output (exclude file extension)\n" + colored("> ","yellow"))
results = profileLookupID(userslug)
#Write Results to File
f = open("results/%s.txt" % outfile,"w")
f.write(results)
f.close
if sifunc == "2":
# Prompt user for data variables
companyName = input("\nEnter a Company Name\n" + colored("> ","yellow"))
companyResults = companyLookup(companyName)
company = input("\nEnter LinkedIn Company ID\n" + colored("> ","yellow"))
search = input("\nEnter Job Title Keywords (use quotes for more percise results)\n" + colored("> ","yellow"))
email = input("\nEmail format for guessing (i.e. {f}{last}@gmail.com)\n" + colored("> ", "yellow"))
outfile = input("\nEnter filename for output (exclude file extension)\n" + colored("> ","yellow"))
print()
# URL Encode for the querystring
search = urllib.parse.quote_plus(search)
# Initiate XLSX File
workbook = xlsxwriter.Workbook('results/%s.xlsx' % outfile)
worksheet1 = workbook.add_worksheet('dataset')
worksheet2 = workbook.add_worksheet('report')
worksheet2.set_column(0,0, 25)
worksheet2.set_column(1,2, 75)
# Initialize Scraping
get_search()
# Close XLSD File
workbook.close()
if sifunc == "3":
# Prompt user for data variables
filename = input("\nEnter the file name to import (must be in the relative directory)\n" + colored("> ","yellow"))
outfile = input("\nEnter filename for output (exclude file extension)\n" + colored("> ","yellow"))
# Initiate XLSX File
workbook = xlsxwriter.Workbook('results/%s.xlsx' % outfile)
worksheet1 = workbook.add_worksheet('dataset')
# Match email addresses to profiles
edata = open(filename,"r")
recordpos = 1
for e in edata:
email = e.strip()
recordpos = profileLookupEmail(recordpos, email)
# Close XLSD File
workbook.close()