Tips & Tricks
Geolocation
# Search using geocode
geocode:36.1143855,-115.1727518,1km
# Tweet geolocation
https://onemilliontweetmap.com
Downloader
# Twitter video downloader
https://twdown.net/
Account Analysis
# Tweeter account analysis (account needed)
https://tweetreach.com/
# When was created an account
http://twbirthday.com/haaxmax/
# Sleeping time (account needed)
http://sleepingtime.org/
# Simple analysis/analytics
https://socialbearing.com/search/general/sodifrance
https://foller.me
# See all tweets from one account (account needed)
https://www.allmytweets.net/connect/
# Tool to see what some accounts have in common
https://tweepdiff.com/
# Another account analysis service
https://accountanalysis.app/
Data visualization
# Free tool to build graph and visualize the spread of claims and fact checking
https://hoaxy.iuni.iu.edu/
Tracking Accounts & Modifications
# With spoonbill, you can check and record people accounts modification
# It checks accounts of people you're following
https://spoonbill.io/
# Find stalker (checks who's following and who's followed) and intersect them
https://tweepsect.com/
# You can triangulate accounts by looking who's following x+x or who y+y follows
http://twiangulate.com
https://doesfollow.com/
Export and Archive
# Export and Archive Threads
# https://jakecreps.com/2020/04/10/threadreaderapp-osint-archive-twitter/amp/
# This twitter bot allows to archive content
https://twitter.com/threadreaderapp
@threadreaderapp unroll
# Method 2
# You can also use the service engine to look for persons or threads
# It can capture deleted content
https://threadreaderapp.com/
https://threadreaderapp.com/user/fs0c131y
# Method 3
# Twitter Advanded Search
# "@threadreaderapp unroll"
# You can directly download videos from the archived content
# Cannot directly from Twitter
# You can use Wayback Machine to archive the archive ;)
# In the case they choose the remove it
Tweet Analyzer (https://github.com/x0rz/tweets_analyzer)
# The goal of this simple python script is to analyze a Twitter profile through its tweets by detecting:
# Average tweet activity, by hour and by day of the week
# Timezone and language set for the Twitter interface
# Sources used (mobile application, web browser, ...)
# Geolocations
# Most used hashtags, most retweeted users and most mentioned users
# Friends analysis based on most frequent timezones/languages
# Basic
python tweets_analyzer.py -n <@username>
Twitter Intelligence (https://github.com/batuhaniskr/twitter-intelligence)
# Another tool used to analyze twitter accounts
# SQLite database is used
# Search by username
python3 tracking.py --username "HaberSau"
# Search by query
python3 tracking.py --query "sakarya"
# Search in a time range
python3 tracking.py --username "HaberSau" --since 2015-09-10 --until 2015-09-12 --maxtweets 10
# Get location (slower)
python3 tracking.py --query "sakarya" --location "True"
# Location analysis (you need to get Google API Key in settings.py)
python3 analysis py --location
Twitter Back From The Death
# This tool checks an user account history to get tweets
# It then parses tweets to extract all URL links and then
# Checks if the domain is available for registration
https://github.com/misterch0c/twitterBFTD
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