Parsing PDF CV's from LinkedIn Recruiter Account

A Simple NodeJs library to parse Resume / CV to JSON. This library parse through CVs / Resumes in the word (.doc or .docx) / RTF / TXT / PDF / HTML format to extract the necessary information in a predefined JSON format. If the CVs / Resumes contain any social media profile links then the solution should also parse the public social profile web-pages and organize the data in JSON format (e.g. Linkedin public profile, Github, etc.)

Used to parse pdf CV of from Linkedin to json format.

linkedin-cv-parser

A job-matching app using Python, Flask, and Selenium to scrape LinkedIn, with Java, Apache PDFBox for CV parsing, and an HTML/CSS/JavaScript frontend with a RESTful API.

Linkedin cv parser demo

No description available

A fully automated job application system using CV parsing and LinkedIn integration

React app using Claude API to automate internship outreach — CV scoring, job listing parser, hiring manager finder, and LinkedIn message generator

Automates the repetitive task of LinkedIn "Easy Apply." Uses OpenAI to parse your CV and intelligently fill out application forms based on your experience.

Job hunting application for Cameroon - Search jobs across 12+ platforms including LinkedIn, Indeed, UN Jobs, and local Cameroon job sites. Features CV parsing, cover letter generator, and application tracking.

This application allows you to upload a PDF of your LinkedIn resume, which is then parsed to extract structured data. The extracted information is used to generate a CV in the Harvard format, which you can then download as a .docx file. The project utilizes AI for the parsing process.

This application allows you to upload a PDF of your LinkedIn resume, which is then parsed to extract structured data. The extracted information is used to generate a CV in the Harvard format, which you can then download as a .docx file. The project utilizes AI for the parsing process.

A smart LinkedIn job automation tool that applies to jobs automatically based on user preferences. Uses Selenium for browser automation and powered CV parsing module for precise job application filling. Supports custom search filters, smart question answering, and easy apply job selection.