https://github.com/vishwagauravin/linkedin-jobs-api
🔥Advanced node.js package for getting job listings from LinkedIn 💼
https://github.com/vishwagauravin/linkedin-jobs-api
jobs linkedin linkedin-api linkedin-job linkedin-jobs linkedin-scraper
Last synced: 6 months ago
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🔥Advanced node.js package for getting job listings from LinkedIn 💼
- Host: GitHub
- URL: https://github.com/vishwagauravin/linkedin-jobs-api
- Owner: VishwaGauravIn
- License: apache-2.0
- Created: 2022-06-29T10:10:18.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-10-23T10:49:24.000Z (12 months ago)
- Last Synced: 2025-04-12T03:45:30.428Z (6 months ago)
- Topics: jobs, linkedin, linkedin-api, linkedin-job, linkedin-jobs, linkedin-scraper
- Language: JavaScript
- Homepage: https://www.npmjs.com/package/linkedin-jobs-api
- Size: 51.8 KB
- Stars: 176
- Watchers: 1
- Forks: 46
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
LinkedIn Jobs API
## Features
- âš¡ 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
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• 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!
1. Fork the repository
2. Make changes
3. Submit a pull request