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', page: "0", }; 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` | | page | "0" | _string_ - `0`, `1`, `2` .... | ## Job Objects | Paramter | Description (Default: null) | | :---------: | :---------------------------------: | | position | _string_ - Position title | | company | _string_ - Company name | | companyLogo | _string_ - Company Logo | | location | _string_ - Location of the job | | date | _string_ - Date the job was posted | | agoTime | _string_ - time since it was posted | | salary | _string_ - Salary range | | jobUrl | _string_ - URL of the job page | ## Example Response ```json [ { "position": "Human Resources Administrator", "company": "The Hub", "companyLogo": "https://static.licdn.com/aero-v1/sc/h/9a9u41thxt325ucfh5z8ga4m8", "location": "India", "date": "2023-11-20", "agoTime": "2 days ago", "salary": "", "jobUrl": "https://in.linkedin.com/jobs/view/human-resources-administrator-at-the-hub-3765436573?refId=rWSjK9izzZ1ZNnUZYzqp8Q%3D%3D&trackingId=X6uox0Xk%2FRQmqkuHpO%2BdrQ%3D%3D&position=1&pageNum=0&trk=public_jobs_jserp-result_search-card" } ] ``` ## Our Sponsor Scrape public LinkedIn profile data at scale with [Proxycurl APIs](https://nubela.co/proxycurl?utm_campaign=influencer_marketing&utm_source=github&utm_medium=social&utm_content=vishwagauravin_linkedin-jobs-api). • Scraping Public profiles are battle tested in court in HiQ VS LinkedIn case.
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• High rate limit - 300 requests/minute
• Fast - APIs respond in ~2s
• Fresh data - 88% of data is scraped real-time, other 12% are not older than 29 days
• High accuracy
• Tons of data points returned per profile ## Contributing Feel free to contribute! 1. Fork the repository 2. Make changes 3. Submit a pull request