Python wrapper for the LinkedIn API
-
Updated
Feb 6, 2023 - Python
Python wrapper for the LinkedIn API
Open-source Company Database: For Data-driven Deal Sourcing
An automated task to inform my LinkedIn network what GitHub projects I'm working on each month
CLI application leveraging the LinkedIn API to send connection requests efficiently based on user-defined keyword searches and default profiles like HR, talent acquisition teams, etc.
End to end GenAI web app which looks for a person's LinkedIn and Twitter profiles and returns interesting facts about them and conversation starters. This is my version of the 'Ice_Breaker' Project for the Udemy Course 'LangChain: Developing LLM-Powered Applications with LangChain'
An algorithm that allows you to connect to your LinkedIn profile, scrape your feed, and classify it through a Naive Bayes Classifier
Simple to use wrapper around the private LinkedIn API, written in async Python.
Linkedin Profile API, using flask and bs4
Afficher le graphe social d'un site de petites annonces via leurs relations sur les réseaux sociaux types twitter, linkedin, ...
Bot de vagas no Linkedin para desenvolvedores. A partir de palavras-chave préviamente coletadas e de outros parâmetros para filtrragem.
This web application uses generative AI models, together with the LinkedIn and SERP API to make tailored job suggestions
Telegram-LinkedIn based bot to download media from LinkedIn and receive them within Telegram
Small script that parses the a given LinkedIn profile and extracts the certifications to create a Markdown file for each certificate. Each markdown can be shown then your website.
A LinkedIn scraper on steroids. Many people might accidentally leak confidential information there- this program will collect all of it and try and assess patterns with statistics.
The LinkedIn Campaign Data Extractor is a Python script that fetches campaign data from LinkedIn's Ad accounts, and analyzes them based on a specific date range.
LinkedIn-Ads/Marketing token generator
Add a description, image, and links to the linkedin-api topic page so that developers can more easily learn about it.
To associate your repository with the linkedin-api topic, visit your repo's landing page and select "manage topics."