# Enrich LinkedIn Job URLs With Salary and Full Details

**Use case:** 

Paste a list of LinkedIn job URLs and get the complete posting back for each one: full description text and HTML, salary, applicant count, seniority, employment type, workplace type, the parsed company profile, extracted skills and the ATS behind the apply button. No search filters, no keywords, just the jobs you already picked.

## Input

```json
{
  "mode": "details",
  "searchKeywords": "senior backend engineer",
  "locations": [],
  "datePosted": "past_week",
  "seniorityLevels": [],
  "jobTypes": [],
  "workplaceTypes": [],
  "sortBy": "relevance",
  "easyApplyOnly": false,
  "under10Applicants": false,
  "companyIds": [],
  "maxResults": 0,
  "includeCompanyData": true,
  "jobUrls": [
    "https://www.linkedin.com/jobs/view/4400771049/",
    "https://www.linkedin.com/jobs/view/4417195819/"
  ]
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company.name": {
    "label": "Company",
    "format": "string"
  },
  "location.text": {
    "label": "Location",
    "format": "string"
  },
  "salary.text": {
    "label": "Salary",
    "format": "string"
  },
  "salary.min": {
    "label": "Min",
    "format": "number"
  },
  "salary.max": {
    "label": "Max",
    "format": "number"
  },
  "salary.currency": {
    "label": "Currency",
    "format": "string"
  },
  "salary.period": {
    "label": "Period",
    "format": "string"
  },
  "salary.providedByEmployer": {
    "label": "Employer-provided",
    "format": "boolean"
  },
  "jobUrl": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs API & Scraper [NO COOKIES] ✅](https://apify.com/unseenuser/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/unseenuser/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).