# Turn LinkedIn profile URLs into title, seniority and tenure

**Use case:** 

Takes a list of LinkedIn profile links and returns one flat row per person: name, headline, current job title, seniority, current company, location, tenure and years of experience. No LinkedIn account needed.

## Input

```json
{
  "items": [
    "https://www.linkedin.com/in/satyanadella",
    "https://www.linkedin.com/in/jeffweiner08",
    "https://www.linkedin.com/in/reidhoffman"
  ],
  "limit": 25,
  "outputMode": "lite",
  "includeEmails": false,
  "includeAudit": false
}
```

## Output

```json
{
  "fullName": {
    "label": "Name",
    "format": "string"
  },
  "jobTitle": {
    "label": "Title",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "tenureYears": {
    "label": "Tenure (yrs)",
    "format": "number"
  },
  "hasWorkEmail": {
    "label": "Work email?",
    "format": "boolean"
  },
  "profileUrl": {
    "label": "Profile",
    "format": "string"
  }
}
```

## How it works

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

The LinkedIn Profile Scraper by URL | No Cookies Actor is ready to run with the inputs already set for "Turn LinkedIn profile URLs into title, seniority and tenure". [Sign up or log in](https://console.apify.com/create-task-from-example/PCzeEo7eTTUOF5Iwd) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Turn LinkedIn profile URLs into title, seniority and tenure" task

The LinkedIn Profile Scraper by URL | No Cookies Actor will start running based on the input automatically. You can also change all the input fields, like linkedin profile urls (one per line), max results, and more, to match your specific use case.

### 3. Receive the "Turn LinkedIn profile URLs into title, seniority and tenure" 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 name, title, seniority, 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 "Turn LinkedIn profile URLs into title, seniority and tenure" task via API](https://apify.com/b2bdata/linkedin-profile-by-url.md).

## FAQ

### What does the profile enrichment task return?

The LinkedIn profile URL enrichment task returns one row per profile: name, headline, current job title, seniority, current company, location, tenure and years of experience.

### What forms of profile link are accepted?

The profile URL task accepts full links like https://www.linkedin.com/in/slug, short linkedin.com/in/slug links, or just the slug. Results keep input order and duplicates are collapsed.

### How do I run the profile URL enrichment task from the API or a schedule?

The profile URL enrichment task runs from the Apify Console, through the API, or on a schedule. Results export as JSON or CSV, so they open directly in Google Sheets or load into a CRM.

### Who benefits from enriching a profile URL list?

The profile URL enrichment task suits recruiters and sales ops teams holding a column of profile links who need title, seniority and tenure without opening each profile.

## About this Actor

This example demonstrates how to use [LinkedIn Profile Scraper by URL | No Cookies](https://apify.com/b2bdata/linkedin-profile-by-url.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bdata/linkedin-profile-by-url.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/b2bdata/linkedin-profile-by-url.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`).