LinkedIn Jobs API

## Features - ⚡ Lightening Fast - ✨ Minimal - 🪶 Lightweight - 🔥 Advanced Filters - 🤩 Support all Frameworks ## How to Install ? Use npm or yarn to install this npm package ``` npm i linkedin-jobs-api ``` or ``` yarn add linkedin-jobs-api ``` Include the package ``` const linkedIn = require('linkedin-jobs-api'); ``` Basic Example: ``` const linkedIn = require('linkedin-jobs-api'); const queryOptions = { keyword: 'software engineer', location: 'India', dateSincePosted: 'past Week', jobType: 'full time', remoteFilter: 'remote', salary: '100000', experienceLevel: 'entry level', limit: '10' }; linkedIn.query(queryOptions).then(response => { console.log(response); // An array of Job objects }); ``` ## Query Object Parameters query() accepts a _queryOptions_ object and returns an array of _Job_ objects. | Parameter | LinkedIn Default value| Description | |:-----------:|:---------------------:|:----------------------------------------------------------------------------------------------:| | keyword | "" | _string_ - The text to search: (i.e. Software Developer) | | location | "" | _string_ - The name of the city: (i.e. Los Angeles) | dateSincePosted| "" | _string_ - Max range of jobs: `past month`, `past week`, `24hr` | jobType | "" | _string_ - Type of position: `full time`, `part time`, `contract`, `temporary`, `volunteer`, `internship` | remoteFilter| "" | _string_ - Filter telecommuting: `on site`, `remote`, `hybrid` | salary | "" | _string_ - Minimum Salary: `40000`, `60000`, `80000`, `100000`, `120000` | experienceLevel| "" | _string_ - `internship`, `entry level`, `associate`, `senior`, `director`, `executive` | limit | "" | _string_ - Number of jobs returned: (i.e. '1', '10', '100', etc) | sortBy | "" | _string_ - `recent`, `relevant` ## Job Objects | Paramter | Description (Default: null) | |:-----------:|:----------------------------------------------------------------------------------------------:| | position | _string_ - Position title | company | _string_ - Company name | location | _string_ - Location of the job | date | _string_ - Date the job was posted | salary | _string_ - Salary range | jobUrl | _string_ - URL of the job page ## Contributing Feel free to contribute! 1. Fork the repository 2. Make changes 3. Submit a pull request