LinkedIn Company Jobs API: How to Access Job Listings

Accessing job listings data from LinkedIn companies programmatically can be invaluable for recruitment platforms, job aggregators, and market research. In this guide, we'll explore how to use the Fresh LinkedIn Scraper API to retrieve comprehensive company job listings without complex OAuth authentication.

Why Access LinkedIn Company Jobs Data?
The Fresh LinkedIn Scraper API
How to Get LinkedIn Company Jobs Data
Understanding the API Response
Code Examples
Best Practices

Why Access LinkedIn Company Jobs Data?

LinkedIn is the world's largest professional network with millions of job listings. Programmatic access to this data provides numerous benefits:

Recruitment Platforms: Aggregate job listings across companies
Market Research: Analyze hiring trends across industries
Competitive Intelligence: Monitor competitor hiring patterns
Talent Acquisition: Stay updated on relevant job openings
Career Services: Help job seekers find relevant opportunities

The Fresh LinkedIn Scraper API

The Fresh LinkedIn Scraper API on RapidAPI provides a straightforward way to access LinkedIn company job listings without:

Complex OAuth authentication
LinkedIn developer program approval
Rate limiting concerns of direct scraping
Terms of service violations

How to Get LinkedIn Company Jobs Data

To retrieve job listings for a company, you'll use the company jobs endpoint with either a company ID or name.

API Endpoint

GET https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs

Request Parameters

Parameter	Required	Description
`company_id`	Required*	LinkedIn company ID (e.g., "783611")
`company`	Required*	Company name (consumes an additional request)
`page`	No	Page number for pagination (default: 1)
`sort_by`	No	Sort order: "recent" or "relevant" (default: "recent")
`date_posted`	No	Filter by post date: "anytime", "past_month", "past_week", "past_24_hours"
`geocode`	No	Geographical code for location-based search
`experience_level`	No	Filter by level: "internship", "entry_level", "associate", "mid_senior", "director", "executive"
`remote`	No	Filter by location type: "onsite", "remote", "hybrid"
`job_type`	No	Filter by employment type: "full_time", "part_time", "contract", etc.
`easy_apply`	No	Filter jobs that are easy to apply for (boolean)
`has_verifications`	No	Filter jobs with company verifications (boolean)
`under_10_applicants`	No	Filter jobs with fewer than 10 applicants (boolean)
`fair_chance_employer`	No	Filter jobs from fair chance employers (boolean)

*Either company_id or company is required, but using company_id is more efficient.

Required Headers

x-rapidapi-host: fresh-linkedin-scraper-api.p.rapidapi.com
x-rapidapi-key: YOUR_RAPIDAPI_KEY

Example Request

curl --request GET \
	--url 'https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs?company_id=783611&page=1' \
	--header 'x-rapidapi-host: fresh-linkedin-scraper-api.p.rapidapi.com' \
    --header 'x-rapidapi-key: YOUR_RAPIDAPI_KEY'

Understanding the API Response

The API returns a comprehensive JSON object with job listings data. Let's examine the key parts of the response:

Response Overview

{
  "success": true,
  "message": "success",
  "process_time": 1173,
  "data": [
    /* array of job listings */
  ],
  "cost": 1,
  "page": 1,
  "total": 654,
  "has_more": true,
  "metadata": {
    "companyId": "783611",
    "filter": {}
  }
}

Individual Job Listing

Each job in the response contains detailed information:

{
  "id": "4126182940",
  "title": "Software Engineer 3",
  "url": "https://www.linkedin.com/jobs/view/4126182940",
  "listed_at": "2025-04-20T14:13:54.000Z",
  "is_promote": false,
  "is_easy_apply": false,
  "location": "San Francisco, CA",
  "company": {
    "id": "783611",
    "name": "MongoDB",
    "url": "https://www.linkedin.com/company/783611",
    "verified": true,
    "logo": [
      {
        "width": 200,
        "height": 200,
        "url": "https://media.licdn.com/dms/image/v2/C4D0BAQFKe8PwqzyHyA/company-logo_200_200/company-logo_200_200/0/1635171226992/mongodbinc_logo?e=1751500800&v=beta&t=KgDMukDaRdjivdTrIHSHfFu7dZIAwWh7a0qGeAU_-zg",
        "expires_at": 1751500800000
      }
      // Additional logo sizes...
    ]
  }
}

Code Examples

Here are implementation examples in popular programming languages:

JavaScript/Node.js

const axios = require("axios");

const options = {
  method: "GET",
  url: "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs",
  params: {
    company_id: "783611",
    page: "1",
  },
  headers: {
    "x-rapidapi-host": "fresh-linkedin-scraper-api.p.rapidapi.com",
    "x-rapidapi-key": "YOUR_RAPIDAPI_KEY",
  },
};

async function getCompanyJobs() {
  try {
    const response = await axios.request(options);
    console.log(response.data);
    return response.data;
  } catch (error) {
    console.error(error);
  }
}

getCompanyJobs();

Python

import requests

url = "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs"

querystring = {
    "company_id": "783611",
    "page": "1",
    "sort_by": "recent"
}

headers = {
    "x-rapidapi-host": "fresh-linkedin-scraper-api.p.rapidapi.com",
    "x-rapidapi-key": "YOUR_RAPIDAPI_KEY"
}

response = requests.request("GET", url, headers=headers, params=querystring)

print(response.json())

PHP

<?php

$curl = curl_init();

curl_setopt_array($curl, [
    CURLOPT_URL => "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs?company_id=783611&page=1",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_FOLLOWLOCATION => true,
    CURLOPT_ENCODING => "",
    CURLOPT_MAXREDIRS => 10,
    CURLOPT_TIMEOUT => 30,
    CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
    CURLOPT_CUSTOMREQUEST => "GET",
    CURLOPT_HTTPHEADER => [
        "x-rapidapi-host: fresh-linkedin-scraper-api.p.rapidapi.com",
        "x-rapidapi-key: YOUR_RAPIDAPI_KEY"
    ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
    echo "cURL Error #:" . $err;
} else {
    echo $response;
}

Best Practices

When using the LinkedIn Company Jobs API, follow these best practices:

1. Use Company ID When Possible

While you can use a company name to retrieve jobs, using the company ID is more efficient:

// More efficient - uses company_id directly
const efficientOptions = {
  params: { company_id: "783611" },
};

// Less efficient - requires an additional API call
const lessEfficientOptions = {
  params: { company: "mongodb" },
};

2. Implement Pagination for Complete Results

LinkedIn jobs are paginated, so retrieve all pages for complete results:

async function getAllCompanyJobs(companyId) {
  let allJobs = [];
  let currentPage = 1;
  let hasMore = true;

  while (hasMore) {
    const options = {
      method: "GET",
      url: "https://fresh-linkedin-scraper-api.p.rapidapi.com/api/v1/company/jobs",
      params: {
        company_id: companyId,
        page: currentPage.toString(),
      },
      headers: {
        "x-rapidapi-host": "fresh-linkedin-scraper-api.p.rapidapi.com",
        "x-rapidapi-key": "YOUR_RAPIDAPI_KEY",
      },
    };

    const response = await axios.request(options);
    allJobs = [...allJobs, ...response.data.data];

    hasMore = response.data.has_more;
    currentPage++;

    // Optional: Add delay to avoid rate limiting
    await new Promise((resolve) => setTimeout(resolve, 1000));
  }

  return allJobs;
}

3. Use Filters for Targeted Results

The API offers multiple filter parameters to get more targeted results:

const options = {
  params: {
    company_id: "783611",
    experience_level: "mid_senior",
    remote: "remote",
    job_type: "full_time",
    date_posted: "past_week",
  },
};

4. Implement Caching

Job listings don't change very frequently. Implement caching to reduce API calls:

const NodeCache = require("node-cache");
const cache = new NodeCache({ stdTTL: 3600 }); // Cache for 1 hour

async function getCompanyJobsWithCache(companyId, page) {
  const cacheKey = `jobs_${companyId}_${page}`;

  // Check if data exists in cache
  const cachedData = cache.get(cacheKey);
  if (cachedData) {
    return cachedData;
  }

  // Fetch new data
  const response = await axios.request({
    // API request options...
    params: {
      company_id: companyId,
      page: page,
    },
  });

  // Store in cache
  cache.set(cacheKey, response.data);

  return response.data;
}

By following this guide, you'll be able to effectively access and utilize LinkedIn company job listings through the Fresh LinkedIn Scraper API, enabling powerful job search and recruitment applications without the complexity of LinkedIn's official API.

LinkedIn Company Jobs API: How to Access Job Listings

LinkedIn Company Jobs API: How to Access Job Listings

Table of Contents

Why Access LinkedIn Company Jobs Data?

The Fresh LinkedIn Scraper API

How to Get LinkedIn Company Jobs Data

API Endpoint

Request Parameters

Required Headers

Example Request

Understanding the API Response

Response Overview

Individual Job Listing

Code Examples

JavaScript/Node.js

Python

PHP

Best Practices

1. Use Company ID When Possible

3. Use Filters for Targeted Results

4. Implement Caching

Table of Contents