LinkedIn Job Listings with Salary & Company Data Scraper

What it returns

22 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• title
• companyName
• location
• salary
• salarySource
• applicantCount
• easyApply
• employmentType
• seniorityLevel
• postedDate
• expiresAt
• jobUrl
• salaryRange.currency
• salaryRange.minYearly
• salaryRange.maxYearly
• companyIndustry
• companySize
• companyHeadquarters
• companyFounded
• companyFollowersCount
• companyWebsite
• companyNumericId

Not in the schema among the core LinkedIn Jobs fields: description. The field matrix shows which other tools return them.

Input

Example input

Built from the input form's published example values and defaults.

{
  "searchQueries": [
    "software engineer"
  ],
  "locations": [
    "United States"
  ],
  "easyApply": false,
  "under10Applicants": false,
  "industry": [],
  "companySizes": [],
  "excludeStaffingAgencies": false,
  "requireSalary": false,
  "requireRecruiter": false,
  "scrapeJobDetails": false,
  "includeCompanyDetails": false,
  "enrichmentDepth": "standard",
  "language": "en",
  "splitLargeSearches": true,
  "maxItems": 3
}

Inputs for real jobs and stated limits

From the README of the Actor's latest build, read 2026-11-13.

Newest data jobs in three countries

{
  "searchQueries": [
    "data engineer",
    "analytics engineer"
  ],
  "locations": [
    "Germany",
    "Netherlands",
    "United Kingdom"
  ],
  "timePosted": "r604800",
  "maxItems": 300
}

Every open role at two employers, with pay only

{
  "companies": [
    "General Motors",
    "https://www.linkedin.com/company/affirm"
  ],
  "requireSalary": true,
  "maxItems": 200
}

Check a list of postings

{
  "jobUrls": [
    "https://www.linkedin.com/jobs/view/4419969671",
    "4336853130"
  ]
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "searchQueries": [
        "software engineer"
    ],
    "locations": [
        "United States"
    ],
    "easyApply": False,
    "under10Applicants": False,
    "industry": [],
    "companySizes": [],
    "excludeStaffingAgencies": False,
    "requireSalary": False,
    "requireRecruiter": False,
    "scrapeJobDetails": False,
    "includeCompanyDetails": False,
    "enrichmentDepth": "standard",
    "language": "en",
    "splitLargeSearches": True,
    "maxItems": 3
}

run = client.actor("xyrelith-data/linkedin-jobs-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "searchQueries": [
        "software engineer"
    ],
    "locations": [
        "United States"
    ],
    "easyApply": false,
    "under10Applicants": false,
    "industry": [],
    "companySizes": [],
    "excludeStaffingAgencies": false,
    "requireSalary": false,
    "requireRecruiter": false,
    "scrapeJobDetails": false,
    "includeCompanyDetails": false,
    "enrichmentDepth": "standard",
    "language": "en",
    "splitLargeSearches": true,
    "maxItems": 3
};

const run = await client.actor("xyrelith-data/linkedin-jobs-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/xyrelith-data~linkedin-jobs-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"searchQueries":["software engineer"],"locations":["United States"],"easyApply":false,"under10Applicants":false,"industry":[],"companySizes":[],"excludeStaffingAgencies":false,"requireSalary":false,"requireRecruiter":false,"scrapeJobDetails":false,"includeCompanyDetails":false,"enrichmentDepth":"standard","language":"en","splitLargeSearches":true,"maxItems":3}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=xyrelith-data/linkedin-jobs-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among LinkedIn Jobs routes

It ranks 2 of 2 catalogue Actors for LinkedIn Jobs on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• find job postings
• review salary ranges
• research employers

Other catalogue Actors for LinkedIn Jobs

Similar Actors

Questions people ask

Sources

• LinkedIn Job Listings with Salary & Company Data Scraper on Apify Store
• Published build with input and output schema (JSON)
• LinkedIn Talent APIs documentation