# Turn a LinkedIn URL into structured profile data

**Use case:** 

Give a list of LinkedIn profile URLs and get back clean, structured records - name, headline, current role, full experience, education and skills. The fastest way to turn raw profile links into a dataset you can actually work with.

## Input

```json
{
  "linkedin_urls": [
    "https://www.linkedin.com/in/sundarpichai",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "enrich_flags": []
}
```

## Output

```json
{
  "first_name": {
    "label": "First name"
  },
  "middle_name": {
    "label": "Middle name"
  },
  "last_name": {
    "label": "Last name"
  },
  "full_name": {
    "label": "Name",
    "format": "text"
  },
  "display_name": {
    "label": "Display name"
  },
  "unformatted_full_name": {
    "label": "Unformatted full name"
  },
  "username": {
    "label": "Username",
    "format": "text"
  },
  "linkedin_id": {
    "label": "Linkedin id"
  },
  "profile_link": {
    "label": "LinkedIn",
    "format": "link"
  },
  "profile_headline": {
    "label": "Headline",
    "format": "text"
  },
  "job_title": {
    "label": "Title",
    "format": "text"
  },
  "raw_job_title": {
    "label": "Raw job title"
  },
  "description": {
    "label": "About",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "location_county": {
    "label": "Location county"
  },
  "location_state": {
    "label": "Location state"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "phone_number": {
    "label": "Phone",
    "format": "text"
  },
  "current_company_name": {
    "label": "Company",
    "format": "text"
  },
  "raw_company_name": {
    "label": "Raw company name"
  },
  "current_company_linkedin_url": {
    "label": "Company LinkedIn",
    "format": "link"
  },
  "company_id": {
    "label": "Company id"
  },
  "company_image": {
    "label": "Company image"
  },
  "company_industry": {
    "label": "Industry",
    "format": "text"
  },
  "company_website": {
    "label": "Company Website",
    "format": "link"
  },
  "job_location": {
    "label": "Job location"
  },
  "job_location_city": {
    "label": "Job location city"
  },
  "job_location_country": {
    "label": "Job location country"
  },
  "job_location_county": {
    "label": "Job location county"
  },
  "job_location_state": {
    "label": "Job location state"
  },
  "job_started_on": {
    "label": "Job started on"
  },
  "job_ended_on": {
    "label": "Job ended on"
  },
  "job_still_working": {
    "label": "Job still working"
  },
  "job_description": {
    "label": "Job description"
  },
  "connections": {
    "label": "Connections",
    "format": "number"
  },
  "followers": {
    "label": "Followers",
    "format": "number"
  },
  "twitter_link": {
    "label": "Twitter",
    "format": "link"
  },
  "websites": {
    "label": "Websites"
  },
  "linkedin_sales_link": {
    "label": "Sales Nav",
    "format": "link"
  },
  "sales_id": {
    "label": "Sales id"
  },
  "is_premium": {
    "label": "Premium",
    "format": "boolean"
  },
  "is_creator": {
    "label": "Creator",
    "format": "boolean"
  },
  "is_influencer": {
    "label": "Influencer",
    "format": "boolean"
  },
  "is_job_seeker": {
    "label": "Job Seeker",
    "format": "boolean"
  },
  "is_openlink": {
    "label": "Open to Connect",
    "format": "boolean"
  },
  "is_retired": {
    "label": "Is retired"
  },
  "avatar_url": {
    "label": "Photo URL",
    "format": "image"
  },
  "background_picture": {
    "label": "Background picture"
  },
  "birthday": {
    "label": "Birthday"
  },
  "education": {
    "label": "Education",
    "format": "array"
  },
  "experience": {
    "label": "Experience",
    "format": "array"
  },
  "certification": {
    "label": "Certifications",
    "format": "array"
  },
  "language": {
    "label": "Languages",
    "format": "array"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "volunteering": {
    "label": "Volunteering"
  },
  "patents": {
    "label": "Patents"
  },
  "publication": {
    "label": "Publication"
  },
  "project": {
    "label": "Project"
  },
  "featured": {
    "label": "Featured"
  },
  "associated_hashtag": {
    "label": "Associated hashtag"
  },
  "recommendations_given": {
    "label": "Recommendations given"
  },
  "recommendations_received": {
    "label": "Recommendations received"
  },
  "company_interest": {
    "label": "Company interest"
  },
  "top_voices_interest": {
    "label": "Top voices interest"
  },
  "group_interest": {
    "label": "Group interest"
  },
  "school_interest": {
    "label": "School interest"
  },
  "newsletter_interest": {
    "label": "Newsletter interest"
  },
  "similar_profiles": {
    "label": "Similar profiles"
  },
  "recommendations_data": {
    "label": "Recommendations data"
  }
}
```

## How it works

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

The LinkedIn Profile Scraper · Fresh · No Cookies Actor is ready to run with the inputs already set for "Turn a LinkedIn URL into structured profile data". [Sign up or log in](https://console.apify.com/create-task-from-example/0KRdUHWne4UeTSNMQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Turn a LinkedIn URL into structured profile data" task

The LinkedIn Profile Scraper · Fresh · No Cookies Actor will start running based on the input automatically. You can also change all the input fields, like linkedin profile url(s) and profile enrichment flags (optional), to match your specific use case.

### 3. Receive the "Turn a LinkedIn URL into structured profile data" 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 first name, middle name, last name, 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 a LinkedIn URL into structured profile data" task via API](https://apify.com/data-slayer/linkedin-profile-scraper.md).

## About this Actor

This example demonstrates how to use [LinkedIn Profile Scraper · Fresh · No Cookies](https://apify.com/data-slayer/linkedin-profile-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-slayer/linkedin-profile-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/data-slayer/linkedin-profile-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`).