LinkdTime is a Timeline generator for Linkedin it can extract the exact date and time on a single post/comments or activity or generate a Timeline about a list of post/comments or activity
sudo apt-get update
sudo apt-get install python3
sudo apt-get install git
git clone https://github.com/Lucksi/LinkdTime
cd LinkdTime
python3 main.py
Platform
Tested
Linux
✅
Mac-Os
❌
Windows
❌
Name
Posts
Comments
Comments/Replies
Profile-Pictures Changes
Background-Images Changes
Company-Logo Changes
Feauture list
Require Internet
Extracting Activity timestamp
False
Create Timelines
False
Timezone Change
False
Saving images in Base64 format (Timelines only)
True
Download images (Timelines only)
True
Parameter Name
Values
Default Value
Description
DATE-FORMAT
Eu/Us/As
Eu
Date format used ex: '01/01/2025'
USER-AGENT
input string
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36
User agent used for downloading images
AUTO-DOWNLOAD
True/False
False
Auto download for images (Timeline Only)
CLOCK-FORMAT
12/24
24
Clock format this is used for determine how many hours the clock will have. For the 12 hours clock it will be displayed AM (Morning) or PM (Afternoon)
Option name
Description
Query Example
timeline
Create a timeline from a group of activities
timeline test.txt
--autoname
Generate a default name for each element in the timeline
timeline test.txt --autoname
--description
Allows you to insert a description for each element in the timeline
timeline test.txt --description
--save
Allows you to save images in base64
timeline test.txt --save
--download
Allows you to download images
timeline test.txt --save --download
--timezone
Set a Timezone for the results (works with timelines and standalone links) (default GMT+2:OO)
timeline test.txt --timezone GMT+4:00
Autoname Default element name example:
Supported Timelines formats:
Format Name
Extension
Text File Format
txt
Hyper Text Markup Language
html
LICENSE: GPL-3.0 License COPYRIGHT: (C) 2025 Lucksi