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getTwitterAccountDetailsTxt.py
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getTwitterAccountDetailsTxt.py
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#!/usr/bin/python3
# Contact: ivanm@security-net.biz
# Interesting analysis done with similar scripts:
# 1. https://security-net.biz/shared/bots/Analiza_neocekivanog_Twitter_statusa_IM_2022.pdf
# 2. https://security-net.biz/shared/bots/Analiza_neocekivanog_Twitter_statusa_IM_2022_v2.pdf
# Imports
import argparse
import re, os, time, shutil
import sys
from datetime import datetime
import simplejson as simplejson
import tweepy
# Go to https://apps.twitter.com/ and create an app.
# The consumer key and secret will be generated for you after
api_key = "-CHANGE-ME-" # UPDATE THIS PART WITH NEW VALUES !!!
api_secrets = "-CHANGE-ME-" # UPDATE THIS PART WITH NEW VALUES !!!
# After the step above, you will be redirected to your app's page.
# Create an access token under the the "Create New App" section
access_token = "-CHANGE-ME-" # UPDATE THIS PART WITH NEW VALUES !!!
access_secret = "-CHANGE-ME-" # UPDATE THIS PART WITH NEW VALUES !!!
parser = argparse.ArgumentParser("")
parser.add_argument("-c", help="Delete all files and start from beginning.", action='store_true')
parser.add_argument("-i", help="Ignore processed file and download data again.", action='store_true')
parser.add_argument("-b", help="Backup all files.", action='store_true')
parser.add_argument("-s", help="Sleep between requests, default 1 second.", default=1)
parser.add_argument("-r", help="Save raw JSON too.", action='store_true')
args = parser.parse_args()
def make_csv(acc_name, acc_data):
x_date = ""
x_verified = 0
x_locked = 0
x_posts = 0
x_followers = 0
x_following = 0
x_likes = 0
x_last_rt = 0
csv_data = acc_name
# Full name
output = re.search('name\': \'(.*?)\', \'screen_name', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + '"' + output.group(1) + '"'
else:
csv_data += "," + "ERROR"
# Registration Date
output = re.search('created_at\': (.*?), \'favourites_count', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + output.group(1)
x_date = output.group(1).split(" ")[-1].replace("'","")
else:
csv_data += "," + "ERROR"
# Is verified
output = re.search('verified\': (.*?), \'statuses_count', acc_data, flags=re.IGNORECASE)
if output is not None:
if output.group(1) == 'True':
csv_data += "," + "True"
x_verified = 1
else:
csv_data += "," + "False"
else:
csv_data += "," + "False"
# Is protected
output = re.search('protected\': (.*?), \'followers_count', acc_data, flags=re.IGNORECASE)
if output is not None:
if output.group(1) == 'True':
csv_data += "," + "True"
x_locked = 1
else:
csv_data += "," + "False"
else:
csv_data += "," + "False"
# Followers
output = re.search('followers_count\': (.*?), \'friends_count', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + output.group(1)
x_followers = output.group(1)
else:
csv_data += ",0"
# Following
output = re.search('friends_count\': (.*?), \'listed_count', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + output.group(1)
x_following = output.group(1)
else:
csv_data += ",0"
# Posts
output = re.search('statuses_count\': (.*?), \'lang', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + output.group(1)
x_posts = output.group(1)
else:
csv_data += ",0"
# Likes
output = re.search('favourites_count\': (.*?), \'utc_offset', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += "," + output.group(1)
x_likes = output.group(1)
else:
csv_data += ",0"
# Latest
if "retweeted_status" in acc_data: # If Retweet
x_last_rt = 1
output = re.search('text\': \'RT (.*?)\', \'truncated', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += ",True," + '"' + output.group(1).replace('"', "'") + '"'
else:
csv_data += ",True,EMPTY"
else: # If Status
output = re.search('text\': \'(.*?)\', \'truncated', acc_data, flags=re.IGNORECASE)
if output is not None:
csv_data += ",False," + '"' + output.group(1).replace('"', "'") + '"'
else:
csv_data += ",False,EMPTY"
# Year,Accounts,Verified,Locked,NoPost,NoFollowers,NoFollowing,L5Posts,L100Posts,L5Following,L100Following,L5Followers,L100Followers,L50Likes,LastRT\
# Account | Date, Verified, Locked, NoPosts, NoFollowers, NoFollowing, NoLikes, LastRT
return [csv_data, x_date, x_verified, x_locked, x_posts, x_followers, x_following, x_likes, x_last_rt]
# Create Backup
if(args.b):
dateTimeObj = datetime.now()
timestampStr = dateTimeObj.strftime("%d-%b-%Y-%H-%M-%S")
os.mkdir("backup/" + timestampStr)
shutil.copy2("./acc_list.txt", "./backup/" + timestampStr + "/" + "acc_list.txt")
shutil.copy2("./not_found.txt", "./backup/" + timestampStr + "/" + "not_found.txt")
shutil.copy2("./processed.txt", "./backup/" + timestampStr + "/" + "processed.txt")
shutil.copy2("./suspended.txt", "./backup/" + timestampStr + "/" + "suspended.txt")
shutil.copy2("./summary_data.csv", "./backup/" + timestampStr + "/" + "summary_data.csv")
shutil.copy2("./summary_data_per_year.csv", "./backup/" + timestampStr + "/" + "summary_data_per_year.csv")
shutil.copytree("./data", "./backup/" + timestampStr + "/" + "data")
print("Backup is created: ./backup/" + timestampStr)
exit()
if(args.c):
print("\nAre you sure you want to delete all files and start from the beginning?")
answer = input("Enter yes or no: ")
if answer == "yes":
try:
os.remove("./acc_list.txt")
except:
pass
try:
os.remove("./suspended.txt")
except:
pass
try:
os.remove("./processed.txt")
except:
pass
try:
os.remove("./not_found.txt")
except:
pass
try:
os.remove("./summary_data.csv")
except:
pass
try:
os.remove("./summary_data_per_year.csv")
except:
pass
try:
for i in os.listdir("./data"):
os.remove("./data/" + i)
os.rmdir("./data")
except Exception as e:
print(str(e))
pass
print("All files are deleted. You will have fresh start :)")
exit()
# Check files
if not os.path.exists("./acc_list.txt") or os.stat("./acc_list.txt").st_size == 0:
with open("./acc_list.txt", mode='a'): pass
print("\n> Please enter Twitter account names into acc_list.txt file, separated by new line.\n")
exit()
if not os.path.exists("./suspended.txt"):
with open("./suspended.txt", mode='a'): pass
if not os.path.exists("processed.txt"):
with open("processed.txt", mode='a'): pass
if not os.path.exists("not_found.txt"):
with open("not_found.txt", mode='a'): pass
if not os.path.exists("./data"):
os.mkdir("./data")
if not os.path.exists("./backup"):
os.mkdir("./backup")
if not os.path.exists("summary_data.csv"):
with open("summary_data.csv", "a") as myfile:
myfile.write("Account,FullName,RegDate,Verified,Locked,Followers,Following,Posts,Likes,IsRT,LatestPost\n")
myfile.close()
if not os.path.exists("summary_data_per_year.csv"):
with open("summary_data_per_year.csv", "a") as myfile:
myfile.write("Year,Accounts,Verified,Locked,NoPost,NoFollowers,NoFollowing,L5Posts,L100Posts,L5Following,L100Following,L5Followers,L100Followers,L50Likes,LastRT\n")
myfile.close()
print("""
> You are running getTwitterAccountDetailsTxt.py script.
> This script will try to download Twitter account data, from the account list file: ./acc_list.txt.
> And it will create summary in files: summary_data*.csv, which you can open with Office applications.
""")
# Load accounts list
txt_file = open("./acc_list.txt", "r")
screen_name_list = txt_file.readlines()
if (args.i):
screen_name_list_p = []
else:
txt_file_p = open("./processed.txt", "r")
screen_name_list_p = txt_file_p.readlines()
# Authenticate to Twitter
auth = tweepy.OAuthHandler(api_key, api_secrets)
auth.set_access_token(access_token, access_secret)
api = tweepy.API(auth)
try:
api.verify_credentials()
print('\n> Successful Authentication to Twitter API.')
except:
print('\n> Failed authentication to Twitter API. Check your settings.')
exit()
print("""
================================================.
.-. .-. .--. |
| 00| | 00| / _.-' .-. .-. .-. .-. |
| --| | --| \ '-. '-' '-' '-' '-' |
'^^^' '^^^' '--' |
===============. .================. .-. |
| | | '-' |
> START WITH DATA COLLECTION:
""")
csv_data = ""
cvs_data_per_year = {}
for acc in screen_name_list:
acc = acc.strip()
if (None != acc and acc != "" and acc + "\n" not in screen_name_list_p):
try:
user = api.get_user(screen_name=acc)
# print(user._json)
#TODO: Bug, Case
with open("data/"+acc+".txt", "w") as myfile:
myfile.write(simplejson.dumps(user._json, indent=4, sort_keys=True))
myfile.close()
# TODO: Bug, Case
if(args.r):
with open("data/" + acc + "_raw.txt", "w") as myfile:
myfile.write(str(user._json))
myfile.close()
# Prepare CSV 1
csv_data_temp = make_csv(acc, str(user._json))
csv_data += csv_data_temp[0] + "\n"
# Prepare CSV 2
if csv_data_temp[1] not in cvs_data_per_year:
cvs_data_per_year.update({csv_data_temp[1]: {"accounts": 0, "verified": 0, "locked": 0, "nopost": 0,
"nofollowers": 0, "nofollowing": 0, "l5posts": 0,
"l100posts": 0, "l5following": 0, "l100following": 0,
"l5followers": 0, "l100followers": 0, "l50likes": 0,
"lastrt": 0}})
# Year,Accounts,Verified,Locked,NoPost,NoFollowers,NoFollowing,L5Posts,L100Posts,L5Following,L100Following,L5Followers,L100Followers,L50Likes,LastRT
# return [csv_data, x_date, x_verified, x_locked, x_posts, x_followers, x_following, x_likes, x_last_rt]
x_date = csv_data_temp[1]
x_verified = int(csv_data_temp[2])
x_locked = int(csv_data_temp[3])
x_posts = int(csv_data_temp[4])
x_followers = int(csv_data_temp[5])
x_following = int(csv_data_temp[6])
x_likes = int(csv_data_temp[7])
x_last_rt = int(csv_data_temp[8])
cvs_data_per_year[x_date]["accounts"] += 1
if x_verified == 1:
cvs_data_per_year[x_date]["verified"] += 1
if x_locked == 1:
cvs_data_per_year[x_date]["locked"] += 1
if x_posts == 0:
cvs_data_per_year[x_date]["nopost"] += 1
if x_posts < 5:
cvs_data_per_year[x_date]["l5posts"] += 1
if x_posts < 100:
cvs_data_per_year[x_date]["l100posts"] += 1
if x_followers == 0:
cvs_data_per_year[x_date]["nofollowers"] += 1
if x_followers < 5:
cvs_data_per_year[x_date]["l5followers"] += 1
if x_followers < 100:
cvs_data_per_year[x_date]["l100followers"] += 1
if x_following == 0:
cvs_data_per_year[x_date]["nofollowing"] += 1
if x_following < 5:
cvs_data_per_year[x_date]["l5following"] += 1
if x_following < 100:
cvs_data_per_year[x_date]["l100following"] += 1
if x_likes < 50:
cvs_data_per_year[x_date]["l50likes"] += 1
if x_last_rt == 1:
cvs_data_per_year[x_date]["lastrt"] += 1
with open("processed.txt", "a") as myfile:
myfile.write(str(acc) + "\n")
myfile.close()
print("New record inserted: ", acc)
except Exception as e:
print("---")
print(acc, str(e))
if ("user not found" in str(e).lower()):
# If we detect not found / deleted account it will be recorded in this file
# TODO: Remove duplicates.
with open("not_found.txt", "a") as myfile:
myfile.write(acc + "\n")
pass
elif ("suspended" in str(e).lower()):
# If we detect suspended account it will be recorded in this file
# TODO: Remove duplicates.
with open("suspended.txt", "a") as myfile:
myfile.write(acc + "\n")
pass
else:
print("> Unhandled exception, please take screenshot (mask sensitive data), and contact the author: ivanm@security-net.biz.")
exception_type, exception_object, exception_traceback = sys.exc_info()
filename = exception_traceback.tb_frame.f_code.co_filename
line_number = exception_traceback.tb_lineno
print("> Exception type: ", exception_type)
print("> File name: ", filename)
print("> Line number: ", line_number)
print("---")
exit()
print("---")
# This value is sleep time between each request, you can put smaller value but watch about API limitations
time.sleep(float(args.s))
else:
print("Skip: ", acc)
# Create summary_data.csv
# TODO: Save on every 100
with open("summary_data.csv", "a") as myfile:
myfile.write(csv_data)
myfile.close()
# Create summary_data_per_year.csv
# print(simplejson.dumps(cvs_data_per_year, indent=4, sort_keys=True))
# Year,Accounts,Verified,Locked,NoPost,NoFollowers,NoFollowing,L5Posts,L100Posts,L5Following,L100Following,L5Followers,L100Followers,L50Likes,LastRT
# TODO: Save on every 100
t_accounts = 0
t_verified = 0
t_locked = 0
t_nopost = 0
t_nofollowers = 0
t_nofollowing = 0
t_l5posts = 0
t_l100posts = 0
t_l5following = 0
t_l100following = 0
t_l5followers = 0
t_l100followers = 0
t_l50likes = 0
t_lastrt = 0
with open("summary_data_per_year.csv", "a") as myfile2:
for x in sorted(cvs_data_per_year):
# TODO: Automatic Loop Concat
t_accounts += cvs_data_per_year[x]["accounts"]
t_verified += cvs_data_per_year[x]["verified"]
t_locked += cvs_data_per_year[x]["locked"]
t_nopost += cvs_data_per_year[x]["nopost"]
t_nofollowers += cvs_data_per_year[x]["nofollowers"]
t_nofollowing += cvs_data_per_year[x]["nofollowing"]
t_l5posts += cvs_data_per_year[x]["l5posts"]
t_l100posts += cvs_data_per_year[x]["l100posts"]
t_l5following += cvs_data_per_year[x]["l5following"]
t_l100following += cvs_data_per_year[x]["l100following"]
t_l5followers += cvs_data_per_year[x]["l5followers"]
t_l100followers += cvs_data_per_year[x]["l100followers"]
t_l50likes += cvs_data_per_year[x]["l50likes"]
t_lastrt += cvs_data_per_year[x]["lastrt"]
myfile2.write(str(x)+","+str(cvs_data_per_year[x]["accounts"])+","+str(cvs_data_per_year[x]["verified"])+","+str(
cvs_data_per_year[x]["locked"])+","+str(cvs_data_per_year[x]["nopost"])+","+str(
cvs_data_per_year[x]["nofollowers"])+","+str(cvs_data_per_year[x]["nofollowing"])+","+str(
cvs_data_per_year[x]["l5posts"])+","+str(cvs_data_per_year[x]["l100posts"])+","+str(
cvs_data_per_year[x]["l5following"])+","+str(cvs_data_per_year[x]["l100following"])+","+str(
cvs_data_per_year[x]["l5followers"])+","+str(cvs_data_per_year[x]["l100followers"])+","+str(
cvs_data_per_year[x]["l50likes"])+","+str(cvs_data_per_year[x]["lastrt"])+"\n")
myfile2.write("Total," + str(t_accounts) + "," + str(t_verified) + "," + str(t_locked) + "," + str(t_nopost) + "," + str(t_nofollowers) + "," + str(t_nofollowing) + "," + str(t_l5posts) + "," + str(t_l100posts) + "," + str(t_l5following) + "," + str(t_l100following) + "," + str(t_l5followers) + "," + str(t_l100followers) + "," + str(t_l50likes) + "," + str(t_lastrt) + "\n")
myfile2.close()
print("\nThat's all folks!")
print("""
> In file ./suspended.txt you can find suspended accounts.
> In file ./not_found.txt you can find deleted accounts.
> You can open ./summary_data*.csv file with Office applications.
> All other accounts data is in ./data/ folder as JSON.
""")