LinkedIn Job Detail Scraper
Pricing
$0.90 / 1,000 results
LinkedIn Job Detail Scraper
Full detail for LinkedIn jobs by URL or id: description, seniority, employment type, applicants, salary. No login. $0.90/1k.
Pricing
$0.90 / 1,000 results
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Developer
Danny
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1
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7 days ago
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Fetch the full detail for LinkedIn jobs by URL or id: description, seniority, employment type, function, industries, applicants, salary (when the employer posted it). Returns clean JSON. $0.90 / 1,000 jobs.
Public, logged-out data only — no login, no cookies, no account.
Input
| Parameter | Type | Required | Description |
|---|---|---|---|
job_urls_or_ids | array | Yes | LinkedIn job URLs or numeric ids. |
Example Input
{"job_urls_or_ids": ["https://www.linkedin.com/jobs/view/4438850133","4406548495"]}
Output
Each dataset item is one job:
{"job_id": "4438850133","title": "...","company_name": "...","location": "...","description_text": "...","seniority_level": "...","employment_type": "...","job_function": "...","industries": "...","applicants_count": "...","salary": "...","apply_url": "...","posted_at": "..."}
Fields
| Field | Description |
|---|---|
job_id | LinkedIn job id |
title | Job title |
company_name | Employer |
location | Job location |
description_text | Full job description (plain text) |
seniority_level | e.g. Mid-Senior level |
employment_type | e.g. Full-time |
job_function | e.g. Engineering |
industries | e.g. Software Development |
applicants_count | e.g. 'Over 200 applicants' (variable-fill) |
salary | Comp string when the employer posted it (often null) |
apply_url | Off-site apply URL when present |
posted_at | ISO date posted |
Pagination
Handled server-side — the actor returns the full result set for your input in one run (bounded by
max_results where applicable). LinkedIn's logged-out feed caps at ~500-530 unique jobs per query.
Python Client
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("good-apis/linkedin-job-detail-scraper").call(run_input={"job_urls_or_ids": ["https://www.linkedin.com/jobs/view/4438850133","4406548495"]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Node.js Client
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_TOKEN' });const run = await client.actor('good-apis/linkedin-job-detail-scraper').call({"job_urls_or_ids": ["https://www.linkedin.com/jobs/view/4438850133","4406548495"]});const { items } = await client.dataset(run.defaultDatasetId).listItems();for (const item of items) console.log(item);
Install the client with npm install apify-client.
FAQ
What input does it take? A list of LinkedIn job URLs or bare numeric ids in job_urls_or_ids.
Why is salary/skills sometimes null? LinkedIn's logged-out pages only expose salary when the employer stamped it, and never expose structured skills/benefits — those are reported null rather than invented.
What is one billed result? One returned job detail = one result event at $0.90 / 1,000 jobs.