## LinkedIn Jobs Scraper: Job Postings with Full Descriptions
**Search LinkedIn jobs by terms, location and filters and get every posting with its full description, applicants, seniority and listed pay. No login, no cookies.**
`Pay per result` Β· `$2 per 1,000 jobs + $2 per 1,000 full descriptions` Β· `No API key` Β· Powered by [Hydrafetch](https://hydrafetch.com?utm_source=apify\&utm_medium=readme\&utm_content=linkedin-jobs-scraper)
***
### LinkedIn Jobs Scraper at a glance
- **Input:** Job search terms like "data engineer", or LinkedIn jobs search links, plus an optional location and filters.
- **Output:** one row per job with 19 fields, including title, company, location, postedAt.
- **Price:** $2 per 1,000 jobs, plus $2 per 1,000 full descriptions read from each job page. Switch descriptions off and it is never charged.
- **You need:** nothing else. No cookies, no logins, no proxies and no API keys.
- **Export:** JSON, CSV, Excel or XML, or straight into your own tools with the Apify API and MCP.
### What is LinkedIn Jobs Scraper?
Searches public LinkedIn job postings the way you would on LinkedIn: search terms or a pasted LinkedIn jobs search link, with an optional location and filters for date posted, workplace, job type and experience level. Every row is one job: title, company, location, posted date, pay when listed as text and numbers, and with descriptions on, the full description, applicant count, seniority, employment type, function and industries. Up to 1,000 jobs per search, newest first. Job posts only, never recruiter or applicant names. Searches with no jobs are skipped and not charged. Built for job market research, hiring signals and job boards.
- **Search like on LinkedIn.** Terms, location and filters, or paste a LinkedIn jobs search link.
- **The whole posting.** Full description, applicants, seniority, employment type, function and industries.
- **Pay when listed.** The salary text plus min, max, currency and period as numbers.
- **No personal data.** Job posts only, never recruiter or applicant names.
### What data can I extract with LinkedIn Jobs Scraper?
Every result is one row per job, with these fields:
| Field | What it holds |
| --- | --- |
| `searchQuery` | The search you gave |
| `searchUrl` | The same search on LinkedIn |
| `jobId` | The job's LinkedIn id |
| `url` | Link to the job |
| `title` | Job title |
| `company` | Hiring company |
| `companyUrl` | The company's LinkedIn page |
| `location` | Where the job is |
| `postedAt` | Date it was posted |
| `postedText` | How long ago, as LinkedIn shows it |
| `salary` | Pay when listed: the text, min, max, currency and period |
| `applicants` | Applicant count, when shown |
| `seniority` | Seniority level |
| `employmentType` | Full-time, part-time, contract and so on |
| `jobFunction` | Job function |
| `industries` | Industries |
| `description` | The full job description as plain text |
| `applyUrl` | Direct apply link, when LinkedIn shows it publicly |
| `logoUrl` | Company logo |
The table view in Apify shows Job, Company, Location, Posted, Applicants, Link. The full record is in the JSON, CSV, Excel and XML exports, and over the API.
### How to use LinkedIn Jobs Scraper
1. Open LinkedIn Jobs Scraper in the Apify Console. A free Apify account is enough to try it.
2. Paste your searches, one per line, or upload a list.
3. Click **Start**. Each search is processed on its own, so one bad entry never loses the batch.
4. Download the results as JSON, CSV or Excel, or send them to your own tools with an integration.
### Input
One field: **searches**. Job search terms like "data engineer", or LinkedIn jobs search links.
**location** narrows every search to a place, like `United States` or `London` (default: anywhere).
**postedWithin** keeps only jobs posted in the past `24h`, `week` or `month` (default `any`).
**workplace** picks any of `onsite`, `remote` and `hybrid`.
**jobTypes** picks any of `full-time`, `part-time`, `contract`, `temporary`, `internship`, `volunteer` and `other`.
**experience** picks any of `internship`, `entry`, `associate`, `mid-senior`, `director` and `executive`.
**maxJobsPerSearch** caps how many jobs come back per search, newest first (default 25, at most 1,000).
**includeDescriptions** reads each job page for the full description and details (default on). Switch it off for the list only, at the lower price.
Every line is checked before the run starts. Each must be job search terms like "data engineer", or a LinkedIn jobs search link; a run with any other line is refused with that line named, so a typo never costs you anything.
```json
{
"searches": [
"data engineer"
],
"location": "United States",
"postedWithin": "week",
"workplace": ["remote"],
"jobTypes": ["full-time"],
"experience": ["mid-senior"],
"maxJobsPerSearch": 25,
"includeDescriptions": true
}
```
### Output
A search with no jobs is skipped and costs nothing. The run log names every one that was skipped, so a short result is never a mystery.
```json
{
"searchQuery": "data engineer",
"jobId": "4443016515",
"url": "https://www.linkedin.com/jobs/view/4443016515",
"title": "Lead Data Engineer",
"company": "MFS Investment Management",
"location": "Boston, MA",
"postedAt": "2026-09-26",
"applicants": 78,
"seniority": "Not Applicable",
"employmentType": "Full-time",
"jobFunction": "Information Technology",
"industries": "Investment Management",
"salary": {
"text": "$137,750.00/yr - $185,000.00/yr",
"min": 137750,
"max": 185000,
"currency": "USD",
"period": "year"
},
"description": "At MFS, you will find a culture that supports you in doing what you do bestβ¦"
}
```
### How much does LinkedIn Jobs Scraper cost?
LinkedIn Jobs Scraper charges **$2 per 1,000 jobs** returned ($0.002 each), only on success. Jobs returned with their full description also cost **$2 per 1,000** ($0.002 each) on top, because each one takes its own page read; switch descriptions off and you only pay for the list. There is no separate compute charge. For example, 1,000 jobs with descriptions cost $4, and 1,000 without cost $2.
- **You pay only for results.** A search with no jobs is skipped and costs nothing.
- **Try it on the free plan.** On Apify's free plan you get 50 jobs from this Actor in total, not per month, to try it out. After that a run stops and asks you to move to a paid Apify plan. Paid plans have no limit.
- **Volume discounts.** Scale plans pay 5% less per result and Business plans 10% less.
- **Cap any run.** Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.
### Common use cases
- **Job market research.** Track who is hiring for which roles, where and at what pay.
- **Hiring signals for sales.** Find companies hiring for the roles your product serves.
- **Job boards and alerts.** Schedule a task to feed new postings into your board or channel.
- **Salary benchmarks.** Collect listed pay ranges by role and location.
### Integrate LinkedIn Jobs Scraper with other apps
LinkedIn Jobs Scraper works with the integrations on the Apify platform, including [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [n8n](https://apify.com/integrations/n8n), [Google Sheets](https://apify.com/integrations/google-sheets), [Slack](https://apify.com/integrations/slack), [Airbyte](https://apify.com/integrations/airbyte), [Google Sheets](https://apify.com/integrations/google-sheets), [Slack](https://apify.com/integrations/slack), [Airtable](https://apify.com/integrations/airtable). Results can also go anywhere with a [webhook](https://docs.apify.com/platform/integrations/webhooks) when a run finishes.
To keep a list current, save your input as a task and put it on a [schedule](https://docs.apify.com/platform/schedules).
### LinkedIn Jobs Scraper API
Run LinkedIn Jobs Scraper from your own code with the Apify API clients.
**JavaScript**
```js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hydrafetch/linkedin-jobs-scraper').call({ searches: ["data engineer"] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```
**Python**
```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hydrafetch/linkedin-jobs-scraper").call(run_input={"searches": ["data engineer"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
```
AI agents can call it too. Connect Claude, Cursor or any MCP client to the [Apify MCP server](https://mcp.apify.com) and add `hydrafetch/linkedin-jobs-scraper` as a tool.
### FAQ
#### What do I give it?
Search terms like "data engineer", or a LinkedIn jobs search link copied from your browser. Add a location and filters if you like.
#### How many jobs per search?
Up to 1,000, newest first. That is as deep as LinkedIn lets a search go.
#### Do I need a LinkedIn account or cookies?
No. It reads public job postings only.
#### What if a description cannot be read?
The job still comes back from the list, without the description, and the description price is not charged for it.
#### Is there a free trial?
Yes. On Apify's free plan you get 50 jobs from this Actor in total to try it, charged to your free Apify credit. After that, runs stop and ask you to move to a paid Apify plan, which has no limit.
#### Do I need cookies, a login or proxies?
No. LinkedIn Jobs Scraper works without cookies, accounts, proxies or API keys. Paste your searches and run it; everything else is handled for you.
#### Is it legal to use LinkedIn Jobs Scraper?
LinkedIn Jobs Scraper collects only publicly available public job postings on LinkedIn, without recruiter or applicant names. As with any data collection, you are responsible for how you use the results: follow the terms of the websites you work with and data protection laws such as GDPR wherever personal data is involved. If you are unsure about your use case, check with a lawyer.
#### Does LinkedIn Jobs Scraper have an API?
Yes. Every run is available through the Apify API, with the JavaScript and Python examples above, and through the Apify MCP server for AI agents.
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### Terms of use
**Your results are yours.** We claim no rights in the inputs you submit or the data you get back. Full terms: [hydrafetch.com/terms](https://hydrafetch.com/terms?utm_source=apify\&utm_medium=readme\&utm_content=linkedin-jobs-scraper)
### Your feedback
Something not working, or a field you need? Open an issue on the Issues tab with the input you used, and we read every one.
***