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bisos.myLinkedIn: takes contents of Basic_LinkedInDataExport.zip and converts them to Vcards

Project description

Overview

bisos.myLinkedIn takes contents of BasicLinkedInDataExport.zip and converts them to vCards for your connections and then augments them with the Contact info of your first-level connections. The purpose of bisos.myLinkedIn is to facilitate convenient communication with your first-level connections outside of LinkedIn. bisos.myLinkedIn is structured as two layers.

  • Layer 1myLinkedIn.cs – Operates purely on the content of BasicLinkedInDataExport.zip. Connections.csv is used to create VCards for each of your connections. Invitations.csv is then used to augment the VCards. Messages.csv is converted to maildir format for reading using your own MUA (Mail User Agent). The email address (and other contact info) of only about one-fourth of your first-level connections is in Connections.csv. Uses of Layer 1 do not violate LinkedIn policies in any way.

  • Layer 2myLinkedinWeb.cs – Uses layer 1 and enriches it with the Contact info for each of the vCards. The email address (and other contact info) of most of your first-level connections is not available in layer 1. myLinkedinWeb.cs goes to your first-level connections’ home page, clicks on the Contact info, obtains email and other contact info from the web, and adds it to the vCards. Some may say that uses of Layer 2 do violate LinkedIn policies. I don’t think so. In my view, what myLinkedinWeb.cs does falls in the category of fair and reasonable use. I have been on LinkedIn for more than 20 years and I expect to have convenient access to the Contact info of my connections. If LinkedIn considers this use not acceptable, then it should include the Contact info of ALL of my connections in BasicLinkedInDataExport.zip. Does LinkedIn really expect me to keep my vCards current manually?

bisos.myLinkedIn is a python package that uses the PyCS-Framework. It is a BISOS-Capability and a Standalone-BISOS-Package.

The bisos.linkedin package automates the process of transforming LinkedIn export data (.csv) into enriched vCards (.vcf), specifically focusing on the first-level connections present in your LinkedIn data. LinkedIn’s export includes valuable information about your connections—such as names, job titles, company details, and invitations—that naturally fits into a contact management system like vCards. However, contact info (email, phone, etc.) of most connections is not included in the BasicLinkedInDataExport.zip file. By leveraging this package, you can convert, enrich, and augment these details into vCards that are readily importable into your preferred usage environment (e.g., Emacs ebdb, MS Outlook, or any other vCard-compatible system). This process is repeatable and scalable, making it easier to maintain an up-to-date contact database, effectively integrating LinkedIn connection data into your daily workflow.

Other than adding the Contact info information of your first-level connections to the vCards, the bisos.myLinkedIn package does not support any form of Web Scraping.

Package Documentation At Github

The information below is a subset of the full of documentation for this bisos-pip package. More complete documentation is available at: https://github.com/bisos-pip/capability-cs

Table of Contents TOC

A Standalone Command-Services PyCS Facility of BISOS

Layered on top of Debian, BISOS (By* Internet Services Operating System) is a unified and universal framework for developing both internet services and software-service continuums that use internet services. PyCS (Python Command-Services) of BISOS is a framework that converges development of CLI and Services. See the Nature of Polyexistentials book for additional information.

bisos.myLinkedIn is a standalone piece of BISOS. It can be used as a self-contained Python package separate from BISOS.

Inputs

Layer-1 – BasicLinkedInDataExport.zip

  • Connections.csv: The basic connection data, including LinkedIn ID, profile URL, name, etc.

  • Invitations.csv: Captures whether you invited the connection or were invited, along with the invitation text.

  • Messages.csv: Adds LinkedIn message history between you and your connections, showing the conversation details and direction.

Layer-2 – Web Connect Info

  • email

  • websites

  • phones

Outpts

VCards

Connections.csv and Invitations.csv inputs and Web Connect Info are transformed into a series of VCards (.vcf) – one for each connection.

Maildirs

Messages.csv is converted into maildir format.

Layer-1 – myLinkedIn.cs – Diagram and Software–Diagram Mapping

The figure above, provides an overview of Layer-1.

A brief description of the nodes is provided below.

Diagram Node

Software Component/Class

Description

LinkedIn

Data Source (LinkedIn)

Origin of all LinkedIn user data

Export.zip

Raw Input

Downloaded export ZIP file from LinkedIn

ExportedData

Unzipped Data Directory

Directory containing CSV and JSON files

Connections.csv

LinkedInConnections

Parses first-level connections

Invitations.csv

LinkedInInvitations

Parses sent and received invitations

VCard

VCardUtils / Core Output

Base vCards from LinkedIn data

Messages.csv

LinkedInMessages

Parses message exchanges with connections

Maildir

messages

Enriched vCards with remote and external information

Key Features of Layer-1 – myLinkedIn.cs

The `bisos.myLinkedIn` Layer-1 Python package provides a set of utilities for creating a set of vCards for your first-level LinkedIn connections based on the BasicLinkedInDataExport. It creates rich representations of your LinkedIn network in vCard (.vcf) format.

  • VCard Creation:

    Based on data from `Connections.csv` a VCard is created for each contact. This VCard will then be augmented and enriched.

  • VCard Local Augmentation:

    Augments vCards with data from `Invitations.csv`. For each contact, the invitation status is captured (whether you invited the connection or vice versa) and the invitation message text is added to the vCard.

  • Maildir Conversion:

    With data from `Messages.csv`, maildirs are created. Conversation details are added from Messages.csv, organizing the messages in chronological order with sender information.

Layer-2 – myLinkedInWeb.cs – Diagram and Software–Diagram Mapping

The figure above, provides an overview of Layer-2. Layer-2 builds on Layer-1 by enriching the vCards with the information obtained from the Contact Info for each VCard.

A brief description of the relevant nodes is provided below.

Diagram Node

Software Component/Class

Description

ContactInfo

Remote Augmentation Logic

Scraped contact details from LinkedIn website

VCard

VCardUtils / Core Output

Base vCards from LinkedIn data

Key Features of Layer-2 – myLinkedInWeb.cs

Layer-2 is about Remote enrichment of Layer-1 VCard.

  • Web Contact Info Retrieval:

Extracts additional details from LinkedIn’s Contact Info page via automated scraping, such as email addresses, phone numbers, and other publicly available contact information.

  • Addition of Contact Info to Local VCard:

Common Usages – Diagram

The figure above, provides an overview of how MyLinkedIn (Layers-1 and Layer-2) are commonly used.

A brief description of the relevant nodes is provided below.

Diagram Node

Software Component/Class

Description

External

User-supplied Sources

Any third-party or user-maintained source of data

ExternalInfo

External Data Processor

Prepares and aligns external info for enrichment

VCard

VCardUtils / Core Output

Base vCards from LinkedIn data

VCardPlus

VCardAugmentor

Enriched vCards with remote and external information

Common Usages

  • Seamless Repeatable VCard Generation and Re-Generation:

    The tool automatically converts your first-level LinkedIn connections into individual vCard files, using the unique LinkedIn ID as the file name. Periodically, you re-generate these.

  • External Augmentation: Optionally integrates with external services for contact enrichment to further enhance your vCards with data such as job titles, company names, and social profiles.

  • Output vCards are ready for import into other systems (e.g., address books, contacts app, Outlook, ebdb).

  • With LinkedIn vCards addresses now in your address book, you can now use MTDT (Mail Templating and Distribution and Tracking) to engage in mass communications with your LinkedIn connections through email (outside of LinkedIn).

Benefits – Distinct and Different

Open-Source, Self-Hosted Solution: This package offers a self-hosted, open-source solution that gives users complete control over their LinkedIn data and privacy, without relying on third-party SaaS platforms.

This holistic, self-contained solution for augmenting LinkedIn data with multiple sources and outputting it in a standardized vCard format makes our approach unique in the landscape of LinkedIn data tools.

Installation

The sources for the bisos.myLinkedIn pip package are maintained at: https://github.com/bisos-pip/linkedinVcard.

The bisos.myLinkedIn pip package is available at PYPI as https://pypi.org/project/bisos.myLinkedIn

You can install bisos.myLinkedIn with pipx or pip.

Installation With pipx

If you only need access to bisos.myLinkedIn on the command line, you can install it with pipx:

pipx install bisos.myLinkedIn

The following commands are made available:

  • myLinkedIn.cs

  • myLinkedInWeb.cs

Installation With pip

If you need access to bisos.myLinkedIn as a Python module, you can install it with pip:

pip install bisos.myLinkedIn

Layer-1 Usage

bin/myLinkedIn.cs

Layer-2 Usage

bin/myLinkedInWeb.cs

Documentation and Blee-Panels

bisos.myLinkedIn is part of the ByStar Digital Ecosystem http://www.by-star.net.

This module’s primary documentation is in the form of Blee-Panels. Additional information is also available in: http://www.by-star.net/PLPC/180047

bisos.myLinkedIn Blee-Panels

bisos.myLinkedIn Blee-Panels are in the ./panels directory. From within Blee and BISOS, these panels are accessible under the Blee “Panels” menu.

See file:./panels/_nodeBase_/fullUsagePanel-en.org for a starting point.

Support

For support, criticism, comments, and questions, please contact the author/maintainer

Credits

ChatGPT initial implementation is at: myLinkedIn/chatgpt

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