# Scrape Full LinkedIn Job Descriptions from URLs

**Use case:** 

Extract full descriptions and available job criteria from public LinkedIn job URLs. This example uses two postings. Replace them with your own list of up to 50 URLs to get structured rows for the jobs still available on LinkedIn.

## Input

```json
{
  "mode": "detail",
  "keywords": "software engineer",
  "location": "United States",
  "maxResults": 10,
  "datePosted": "anyTime",
  "fullDetail": false,
  "requireAllKeywordsInTitle": true,
  "jobUrls": [
    "https://www.linkedin.com/jobs/view/software-engineer-ii-java-aws-at-jpmorganchase-4476983365",
    "https://www.linkedin.com/jobs/view/software-development-engineer-aws-iam-distributed-database-system-at-amazon-web-services-aws-4455931376"
  ]
}
```

## Output

```json
{
  "jobId": {
    "label": "Job id",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "postedAgo": {
    "label": "Posted ago",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "jobUrl": {
    "label": "Job",
    "format": "string"
  },
  "detailFetched": {
    "label": "Detail fetched",
    "format": "boolean"
  },
  "searchKeywords": {
    "label": "Search keywords",
    "format": "string"
  },
  "searchLocation": {
    "label": "Search location",
    "format": "string"
  },
  "searchDatePosted": {
    "label": "Search date posted",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Jobs Scraper \[FAST\] | Search & Job Details Actor is ready to run with the inputs already set for "Scrape Full LinkedIn Job Descriptions from URLs". [Sign up or log in](https://console.apify.com/create-task-from-example/cxKGO1i7bFLB106O3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Scrape Full LinkedIn Job Descriptions from URLs" task

The LinkedIn Jobs Scraper \[FAST\] | Search & Job Details Actor will start running based on the input automatically. You can also change all the input fields, like mode, keywords (search), and more, to match your specific use case.

### 3. Receive the "Scrape Full LinkedIn Job Descriptions from URLs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as job id, title, company, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Scrape Full LinkedIn Job Descriptions from URLs" task via API](https://apify.com/apizy/linkedin-jobs-scraper.md).

## FAQ

### What does the job URL task extract?

Scrape Full LinkedIn Job Descriptions from URLs extracts the public job description and available criteria, alongside title, company, location, posting date, and URL.

### Can I replace the example URLs with my own job links?

Scrape Full LinkedIn Job Descriptions from URLs accepts 1–50 public LinkedIn job URLs or job IDs. Replace the sample links before running. Jobs no longer available may return no row.

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper [FAST] | Search & Job Details](https://apify.com/apizy/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/apizy/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/apizy/linkedin-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).