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LinkedIn Jobs Scraper - Scrape LinkedIn Job Posting Data

RealdataAPI / linkedin-jobs-scraper

Using LinkedIn jobs scraper, scrape LinkedIn job posting data, including title, location, company name, required education, job type, working hours, job description, and more. It allows you to collect job posting data for personal and professional use cases. The LinkedIn job search tool is available in countries like USA, UK, UAE, Germany, France, Spain, Canada, Mexico, Singapore, Italy, and more.

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Do you need help finding a job but not getting the suitable one? Want to grow your career to a peak level? Try our LinkedIn jobs data scraper. It is the ultimate solution for job seekers, freelancers, and professionals, that shares compiled job posting data using the LinkedIn job search tool.

Further, our tool is the right fit for your lifestyle and personal use, with its job searching capability based on your location, skill, educational background, and experience.

With the job posting data scraper, you can further evaluate your position in the market with a complete view of the market in your sector. Further, fetch LinkedIn jobs to collect the vacancy data with salaries, skills, and experience requirements for various job roles. After studying this job data, you uncover better insights into your market position and reform your recruitment strategy accordingly. The scraper also allows you to track trends in the job market over time to stay competitive in the current and modern market.

Before using the Linkedin jobs scraper, check out the reviews of our satisfied scraper users on the effectiveness and ease of this LinkedIn job search tool. With its intuitive interface and nice user interface features, you can directly use our tool without having any technical expertise.

Unlock the potential career options with our LinkedIn scraper. Try it out for your job search requirements and see its uniqueness.

How To Use LinkedIn Jobs Scraper?

It is a breeze to use our LinkedIn job scraping tool. Only enter your preferred job name, location, and choose the rows you wish to see on the screen.

Output Format of LinkedIn Jobs Scraper

After the successful run of the scraper, you can see the output datasets in multiple formats, like JSON, HTML, CSV, and more.

Is It Legal To Scrape LinkedIn Job Posting Data?

Using our job posting data scraper, you can legally scrape public data from LinkedIn. We've developed the scraper on ethical grounds. But it may scrape some private data unknowingly. Still, if you want to scrape personal data, please consult your lawyer before the process.

Industries

Check out how industries are using LinkedIn Jobs Scraper around the world.

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E-commerce & Retail

You should have a Real Data API account to execute the program examples. Replace < YOUR_API_TOKEN> in the program using the token of your scraper. Read about the live APIs with Real Data API docs for more explanation. 

import { RealdataAPIClient } from 'RealdataAPI-Client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companyName": [
        "Google",
        "Microsoft"
    ],
    "companyId": [
        "76987811",
        "1815218"
    ]
};

(async () => {
    // Run the Actor and wait for it to finish
    const run = await client.actor("bebity/linkedin-jobs-scraper").call(input);

    // Fetch and print Actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();

from RealdataAPI_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companyName": [
        "Google",
        "Microsoft",
    ],
    "companyId": [
        "76987811",
        "1815218",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("bebity/linkedin-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
cat > input.json <<'EOF'
{
  "companyName": [
    "Google",
    "Microsoft"
  ],
  "companyId": [
    "76987811",
    "1815218"
  ]
}
EOF

# Run the actor
curl "https://api.RealdataAPI.com/v2/acts/bebity~linkedin-jobs-scraper/runs?token=$API_TOKEN" /
  -X POST /
  -d @input.json /
  -H 'Content-Type: application/json'

Job Title

title Required String

Enter the job name - for example, Senior Python Developer.

Job Location

location Required String

Enter the job location - for example, Huston.

Company Name

companyName Optional Array

Enter the company name where you want to find the job - for example, Real Data API.

Company ID

companyId Optional Array

Enter the company ID number, for example, 8125818.

Published at

publishedAt Optional Enum

Choose the work type to see in the output.

Options:

"r86400 string","r604800 string", "r2592000 string "

Total Rows

rows Required Integer

Enter the number of rows you wish to show - for example, 50.

Remote/Onsite

workType Optional Enum

Choose the work location to display.

Options:

Remote string , Hybrid string , Onsite string

Job Type

contractType Optional Enum

Choose the type of job you want to display.

Options:

C string, F string, V string, P string, I string, T string

Experience Level

experienceLevel Optional Enum

Choose the experience levels you want to display in the output.

Options:

1 string, 2 string, 3 string, 4 string, 5 string 
{
  "title": "",
  "location": "United States",
  "companyName": [
    "Google",
    "Microsoft"
  ],
  "companyId": [
    "76987811",
    "1815218"
  ],
  "publishedAt": "",
  "rows": 50
}
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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.