# Build a profile dataset from Sales Navigator URLs

**Use case:** 

Get the data out of Sales Navigator and into a spreadsheet you control. Export the profiles behind a lead list into a structured dataset - role, company, experience, education and skills - ready to push into your CRM, enrich further, or analyse in bulk. No manual copying, and it works on any number of URLs you paste in.

## Input

```json
{
  "linkedin_urls": [
    "https://www.linkedin.com/in/example-sales-nav-lead"
  ],
  "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"
  }
}
```

## 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`).