LinkedIn Sales Navigator Scraper

by SilentFlow

Scrape LinkedIn Sales Navigator leads and accounts, search by keywords, job titles, seniority, location, company, industry, and 30+ filters. Enrich profiles with skills, education, work history, and email/phone for 1st-degree connections. Export to JSON or CSV.

✨ Why use this scraper?

• 🔍 30+ search filters: Title, seniority, location, industry, company size, years of experience, spotlight signals, and more
• 📋 Saved list export: Export all members from any Sales Navigator saved list in one run
• 📧 Full profile enrichment: Skills, education, work history, email and phone (1st-degree connections)
• 🔗 3 input modes: Search URL, filter parameters, or direct profile URL list for enrichment
• 🔔 Webhooks: Stream results to Zapier, Make, or n8n after each page

🎯 Use cases

Industry	Application
Sales	Build targeted lead lists by job title, seniority, and company size
Recruitment	Find candidates by skills, education, and years of experience
Marketing	Identify decision-makers in specific industries and regions
Business development	Find recently funded companies and their key contacts
Lead enrichment	Enrich existing contact lists with LinkedIn profile data
Research	Map organizational structures across companies or industries

🔑 Getting your LinkedIn cookies

Step 1, Export your cookies

1. Install the Cookie-Editor Chrome extension
2. Log into LinkedIn Sales Navigator
3. Click the Cookie-Editor icon → Export → Export as JSON
4. Paste the copied JSON into the cookies input field

Required cookies (automatically included in the full export):

• li_at, main LinkedIn session token
• JSESSIONID, CSRF token
• li_a, Sales Navigator session token

Note: Cookies expire. If you get authentication errors, re-export from a fresh Sales Navigator session.

Step 2, Get your User-Agent

1. Open whatismybrowser.com in the same browser you used to export cookies
2. Copy your User-Agent (looks like Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36...)
3. Paste it into the userAgent input field

Why it matters: LinkedIn verifies that your session matches the browser fingerprint. A mismatched User-Agent can cause authentication failures.

📥 Input parameters

Authentication

Parameter	Type	Description
cookies	array	LinkedIn browser cookies exported as JSON (required)
userAgent	string	User-Agent string from the browser used to export cookies

Search

Parameter	Type	Description
searchUrl	string	Sales Navigator search or saved list URL
searchType	string	people (default) or companies
keywords	string	Free-text search across name, headline, company
profileUrls	array	List of LinkedIn profile URLs to enrich directly

People filters

Parameter	Type	Description
jobTitles	array	Current job titles (e.g. ["CEO", "VP of Engineering"])
seniorityLevels	array	owner, cxo, vp, director, manager, senior, entry
locations	array	Geographic locations (e.g. ["Paris", "United States"])
industries	array	Industry names (e.g. ["Software Development"])
companyHeadcounts	array	1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+
companyTypes	array	public, private, nonprofit, educational, government
currentCompanies	array	Filter by current employer names
pastCompanies	array	Filter by past employer names
schools	array	School or university names
yearsInCurrentPosition	array	0-1, 1-2, 3-5, 6-10, 10+
yearsInCurrentCompany	array	0-1, 1-2, 3-5, 6-10, 10+
yearsOfExperienceRange	array	0-1, 1-2, 3-5, 6-10, 10+
changedJobsLast90Days	boolean	Changed jobs in the last 90 days
postedLast30Days	boolean	Posted on LinkedIn in the last 30 days
openToWork	boolean	Has the #OpenToWork signal
newsMentioned	boolean	Mentioned in recent news
teamLink	boolean	Only leads in your TeamLink network
connectionDegrees	array	1, 2, or 3
firstName / lastName	string	Filter by name
pastJobTitles	array	Filter by past job titles

Company filters

Parameter	Type	Description
annualRevenue	array	0-1m, 1-10m, 10-50m, 50-200m, 200m-1b, 1b+
recentlyFunded	boolean	Recently received funding

Options

Parameter	Type	Default	Description
limit	integer	25	Maximum number of results
fetchDetails	boolean	false	Fetch full profile: skills, education, experience, email/phone
startPage	integer	1	Page to resume from
webhookUrl	string	,	POST results to this URL after each page

📊 Output data

Lead example

{
  "fullName": "Karlotcha Hoa",
  "firstName": "Karlotcha",
  "lastName": "Hoa",
  "headline": "Engineering Manager, Security Engineering at Gusto",
  "currentPosition": "Engineering Manager - Product Security Engineering Team",
  "currentCompany": "Gusto",
  "currentCompanyUrl": "https://www.linkedin.com/company/2499210",
  "location": "San Francisco, California, United States",
  "city": "San Francisco",
  "country": "California, United States",
  "seniority": "manager",
  "connectionDegree": 3,
  "yearsInPosition": "2 years 10 months",
  "yearsInCompany": "2 years 10 months",
  "profileUrl": "https://www.linkedin.com/in/karlotcha-hoa-94526325",
  "salesNavUrl": "https://www.linkedin.com/sales/lead/ACwAAAUy54UBcD9uYsH3wu8TAnfvyTVu0UeTxC0,NAME_SEARCH,Oefo",
  "isPremium": true,
  "isOpenToWork": false,
  "engagementSignals": {
    "jobChange": false,
    "postedRecently": false,
    "newsMentioned": false
  },
  "previousCompanies": ["Gusto", "HouseTrip", "Simply Business", "Wattics"],
  "scrapedAt": "2026-02-28T01:32:53Z"
}

Lead example (with fetchDetails: true)

{
  "fullName": "Karlotcha Hoa",
  "currentPosition": "Engineering Manager - Product Security Engineering Team",
  "currentCompany": "Gusto",
  "email": "k.hoa@gusto.com",
  "phone": "+1 415-000-0000",
  "skills": ["Ruby on Rails", "JavaScript", "Security Engineering", "Git", "Java"],
  "education": [
    {
      "schoolName": "Ecole centrale de Nantes",
      "degree": "Master's degree",
      "fieldOfStudy": "Software Engineering"
    }
  ],
  "experience": [
    {
      "title": "Engineering Manager - Product Security Engineering Team",
      "company": "Gusto",
      "isCurrent": true
    }
  ],
  "languages": ["English", "French"],
  "summary": "Engineering Manager focused on security...",
  "educationLevel": "Master",
  "yearsOfExperience": "8 years",
  "connections": 500,
  "followerCount": 1200,
  "companyDetails": {
    "name": "Gusto",
    "industry": "Software Development",
    "description": "Gusto is a modern, online people platform..."
  },
  "scrapedAt": "2026-02-28T01:32:53Z"
}

Account example

{
  "name": "Stripe",
  "industry": "Financial Services",
  "employeeCount": 8000,
  "employeeRange": "5001-10000",
  "headquarters": "San Francisco, California, United States",
  "revenue": "$1B+",
  "companyUrl": "https://www.linkedin.com/company/stripe",
  "salesNavUrl": "https://www.linkedin.com/sales/company/...",
  "followers": 850000,
  "description": "Stripe is a financial infrastructure platform for businesses.",
  "website": "https://stripe.com",
  "founded": 2010,
  "scrapedAt": "2026-02-28T01:32:53Z"
}

🗂️ Data fields

Leads, Standard

Category	Fields
Identity	fullName, firstName, lastName, headline, profileUrl, salesNavUrl, profilePicture
Position	currentPosition, currentCompany, currentCompanyUrl, seniority, yearsInPosition, yearsInCompany
Location	location, city, country
Network	connectionDegree, isPremium, isOpenToWork, previousCompanies
Signals	engagementSignals (jobChange, postedRecently, newsMentioned)
Meta	scrapedAt

Leads, With fetchDetails: true

Category	Fields
Contact	email, phone, websites
Profile	summary, skills, certifications, languages, industry
Education	education, educationLevel, schoolName
Career	experience, yearsOfExperience
Extras	publications, patents, volunteering, honorsAwards, projects, courses, recommendations
Company	companyDetails (website, industry, headcount, description)
Network	connections, followerCount

Accounts

Category	Fields
Identity	name, companyUrl, salesNavUrl, logo
Business	industry, employeeCount, employeeRange, revenue, headquarters
Social	followers, description
Details (fetchDetails)	website, founded, specialties, phone, address, companyType

🚀 Examples

Search Engineering Managers at mid-size companies

{
  "cookies": [{"name": "li_at", "value": "..."}, {"name": "JSESSIONID", "value": "ajax:..."}],
  "jobTitles": ["Engineering Manager", "VP of Engineering"],
  "seniorityLevels": ["manager", "vp"],
  "companyHeadcounts": ["51-200", "201-500"],
  "locations": ["San Francisco Bay Area", "New York City"],
  "limit": 100
}

Export a Sales Navigator saved list

{
  "cookies": [{"name": "li_at", "value": "..."}, {"name": "JSESSIONID", "value": "ajax:..."}],
  "searchUrl": "https://www.linkedin.com/sales/lists/people/123456789",
  "fetchDetails": true,
  "limit": 500
}

Find recently funded companies

{
  "cookies": [{"name": "li_at", "value": "..."}, {"name": "JSESSIONID", "value": "ajax:..."}],
  "searchType": "companies",
  "industries": ["Software Development", "Artificial Intelligence"],
  "recentlyFunded": true,
  "annualRevenue": ["1-10m", "10-50m"],
  "limit": 50
}

Enrich a list of LinkedIn profiles

{
  "cookies": [{"name": "li_at", "value": "..."}, {"name": "JSESSIONID", "value": "ajax:..."}],
  "profileUrls": [
    "https://www.linkedin.com/in/satya-nadella",
    "https://www.linkedin.com/in/jeffweiner08"
  ],
  "fetchDetails": true
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("silentflow/linkedin-sales-navigator-scraper").call(run_input={
    "cookies": [{"name": "li_at", "value": "YOUR_LI_AT_COOKIE"}],
    "jobTitles": ["CEO", "CTO"],
    "locations": ["New York City"],
    "seniorityLevels": ["cxo"],
    "limit": 100,
    "fetchDetails": True,
})

for lead in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{lead['fullName']}, {lead['currentPosition']} at {lead['currentCompany']}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/linkedin-sales-navigator-scraper').call({
    cookies: [{ name: 'li_at', value: 'YOUR_LI_AT_COOKIE' }],
    jobTitles: ['CEO', 'CTO'],
    locations: ['New York City'],
    seniorityLevels: ['cxo'],
    limit: 100,
    fetchDetails: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(lead => {
    console.log(`${lead.fullName}, ${lead.currentPosition} at ${lead.currentCompany}`);
});

📈 Performance & limits

Metric	Value
Results per page	25 leads
Max results per run	2,500
Full details (fetchDetails)	+3–5 seconds per result
Sales Navigator search limit	2,500 results

💡 Tips for best results

1. Export fresh cookies: LinkedIn session cookies expire. Re-export if you get authentication errors.
2. Match the User-Agent: The userAgent must match the browser you used to export the cookies.
3. Use searchUrl for complex filters: Build your search in Sales Navigator, then copy the URL for the most accurate results.
4. Combine spotlight filters: Use changedJobsLast90Days + postedLast30Days to target the most engaged leads.
5. Resume interrupted runs: Use startPage to continue from where you left off.
6. Email availability: Emails are only available for 1st-degree connections with fetchDetails: true.

❓ FAQ

Q: Do I need a Sales Navigator subscription? A: Yes, a LinkedIn Sales Navigator subscription is required.

Q: How do I export my LinkedIn cookies? A: Install a browser extension like Cookie-Editor or EditThisCookie, log into LinkedIn Sales Navigator, then export cookies as JSON.

Q: Can I scrape all search results automatically? A: Yes, the scraper paginates automatically up to your limit (max 2,500).

Q: Why are emails missing from some results? A: LinkedIn only exposes email addresses for your 1st-degree connections, and only when fetchDetails: true.

Q: Can I use this for company account search? A: Yes, set searchType: "companies" or use a company search URL from Sales Navigator.

Q: What happens if I hit a rate limit? A: The scraper automatically retries. For best results, use default delay settings.

📬 Support

Need help? We're here for you:

• Feature requests: Let us know what you need
• Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify