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
[
{
"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"
}
]
Scrape public LinkedIn profile data at scale with Proxycurl APIs.
• Scraping Public profiles are battle tested in court in HiQ VS LinkedIn case.
• GDPR, CCPA, SOC2 compliant
• 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!
- Fork the repository
- Make changes
- Submit a pull request