LinkedIn Sales Navigator Lead Scraper

A powerful Apify actor that scrapes LinkedIn Sales Navigator lead search results using only search parameters - no LinkedIn session cookies or pre-built search URLs required.

🚀 Key Advantages

• Does NOT require your LinkedIn session cookie - keeping your personal LinkedIn profile completely safe from potential account restrictions
• Does NOT require a pre-built Sales Navigator search URL - no need for an expensive LinkedIn Sales Navigator subscription or asking someone else to generate URLs for you
• Just enter your search parameters - the actor handles everything else automatically

Simply input your lead search criteria (company, seniority level, location, etc.) and get comprehensive profile data without any LinkedIn account risks.

📊 What Data You'll Get

Each scraped profile includes comprehensive information:

Personal Information

• first_name - Contact's first name
• last_name - Contact's last name
• full_name - Complete name
• headline - Professional headline/title
• about - Profile summary/bio
• linkedin_url - Direct LinkedIn profile URL
• profile_image_url - Profile photo URL
• profile_id - Unique LinkedIn profile identifier
• public_id - Public LinkedIn identifier

Current Position

• job_title - Current job title
• company - Current company name
• current_company_join_month - Month joined current company
• current_company_join_year - Year joined current company

Company Details

• company_id - Unique company identifier
• company_domain - Company website domain
• company_linkedin_url - Company LinkedIn page
• company_logo_url - Company logo image
• company_website - Full company website URL
• company_industry - Company's industry classification
• company_employee_range - Company size (employee count range)
• company_year_founded - Year company was established

Location Information

• city - Contact's city
• state - Contact's state/province
• country - Contact's country
• location - Full location string
• hq_city - Company headquarters city
• hq_country - Company headquarters country
• hq_region - Company headquarters region

Background

• educations - Educational background array
• experiences - Work experience history array
• school - Most recent/relevant school

🔧 Input Parameters

⚠️ Important Requirement

You MUST provide search criteria beyond the default parameters. The actor will not run with only the default parameters (limit, changed_jobs, posted_on_linkedin), even if you modify their values. You need to add at least one additional search filter such as:

• Company filters (current_company_ids, current_company_names)
• Location filters (geo_codes)
• Role filters (seniority_levels, functions, title_keywords)
• Industry filters (industry_codes)
• Or any other targeting parameters

Basic Configuration

• limit (required) - Maximum number of profiles to scrape (1-2500, default: 5)
• keywords - Search keywords with Boolean support (e.g., AI OR "machine learning")

Company Filters

• current_company_ids - Array of LinkedIn company IDs (up to 10)
• current_company_names - Array of company names (up to 20)
• current_company_ids_exclude - Company IDs to exclude (up to 10)
• past_company_ids - Previous company IDs (up to 10)
• past_company_names - Previous company names (up to 20)
• past_company_ids_exclude - Previous company IDs to exclude (up to 10)

Company Characteristics

• company_headcounts - Company size options:
  • Self-employed, 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+
• company_type - Company types:
  • Public Company, Privately Held, Non Profit, Educational Institution, Partnership, Self Employed, Self Owned, Government Agency
• company_headquarter_location_ids - Company HQ location geo codes (up to 20)
• company_headquarter_location_ids_exclude - HQ locations to exclude (up to 20)

Role and Experience Filters

• functions - Job functions (Accounting, Engineering, Marketing, Sales, etc.)
• functions_exclude - Job functions to exclude
• title_keywords - Current job title keywords (up to 20)
• title_keywords_exclude - Job title keywords to exclude (up to 20)
• seniority_levels - Seniority levels:
  • Owner/Partner, CXO, Vice President, Director, Experienced Manager, Entry Level Manager, Strategic, Senior, Entry Level, In Training
• seniority_levels_exclude - Seniority levels to exclude
• past_job_titles - Past job title keywords (up to 20)
• past_job_titles_exclude - Past job titles to exclude (up to 20)

Experience and Tenure

• year_in_current_company - Years at current company:
  • Less than 1 year, 1 to 2 years, 3 to 5 years, 6 to 10 years, More than 10 years
• year_in_current_position - Years in current position (same options)
• years_of_experience - Total work experience (same time ranges)

Geographic Filters

• geo_codes - LinkedIn geo codes for locations (up to 20)
• geo_codes_exclude - Geographic locations to exclude (up to 20)

Industry Targeting

• industry_codes - Industry codes (up to 10) - extensive list available including:
  • Technology, Healthcare, Finance, Manufacturing, Education, and 140+ other industries
• industry_codes_exclude - Industries to exclude (up to 10)

Personal Attributes

• first_name - Filter by first name
• last_name - Filter by last name
• profile_languages - Profile languages:
  • Arabic, English, Spanish, Portuguese, Chinese, French, Italian, Russian, German, Dutch, Turkish, Tagalog, Polish, Korean, Japanese, Malay, Norwegian, Danish, Romanian, Swedish, Bahasa Indonesia, Czech

Education

• school_ids - LinkedIn school IDs (up to 10)
• school_ids_exclude - School IDs to exclude (up to 10)

Recent Activity Filters

• changed_jobs - Include only leads who changed jobs in the last 90 days
• posted_on_linkedin - Include only leads who posted on LinkedIn in the last 30 days

💡 Finding LinkedIn IDs and Geo Codes

Company IDs: How to find LinkedIn Company IDs
Geo Codes: How to get LinkedIn Geo Codes

📝 Example Input Configuration

{
  "limit": 500,
  "keywords": "AI OR \"machine learning\" OR \"data science\"",
  "current_company_ids": ["1441", "2382910"],
  "seniority_levels": ["Director", "Vice President", "CXO"],
  "functions": ["Engineering", "Information Technology"],
  "geo_codes": ["103644278", "90000084"],
  "industry_codes": ["96", "6"],
  "company_headcounts": ["201-500", "501-1000", "1001-5000"],
  "years_of_experience": ["6 to 10 years", "More than 10 years"],
  "changed_jobs": true
}

⚠️ Important Usage Notes

Timeout Settings

You MUST adjust your actor run timeout settings when scraping large numbers of leads. The default timeout may be insufficient for:

• High limit values (500+ profiles)
• Complex search criteria with multiple filters
• Peak usage periods

Peak Period Handling

During high-traffic periods, the scraping service may become overloaded, causing requests to fail. If you encounter failures:

1. Wait and retry - Try running your actor again after 15-30 minutes
2. Reduce batch size - Lower your limit parameter temporarily
3. Schedule off-peak runs - Run during low-traffic hours when possible

The actor includes automatic retry logic, but persistent failures during peak times require manual retry.

🎯 Advanced Targeting Strategies

High-Intent Prospects

Combine changed_jobs: true with specific seniority_levels to find decision-makers who recently started new roles.

Active LinkedIn Users

Use posted_on_linkedin: true to target leads who are actively engaging on the platform.

Precise Company Targeting

Mix current_company_ids with company_headcounts and company_headquarter_location_ids for laser-focused prospecting.

Competitive Intelligence

Use past_company_ids to find leads who previously worked at competitor companies.

💡 Pro Tips

1. Add search criteria first - Remember, you cannot run the actor with only default parameters. Always include search filters like company, location, or role criteria
2. Start small - Test with a low limit (25-100) to verify your search parameters
3. Layer your filters - Combine multiple criteria for more precise targeting
4. Monitor costs - Each profile scraped incurs a charge, so set appropriate limits
5. Use exclusions - Leverage _exclude parameters to filter out unwanted results
6. Check data quality - The actor filters out profiles with missing LinkedIn URLs automatically

🛠️ Technical Details

• Maximum Results: 2,500 profiles per run
• Pricing Model: Pay per actor start + per profile scraped
• Rate Limiting: Built-in with linear backoff and jitter
• Error Handling: Automatic retries for network issues
• Data Validation: Filters out incomplete profiles
• Pagination: Handles large result sets automatically

📞 Support

For issues related to:

• Actor configuration or usage
• Search parameter optimization
• Finding LinkedIn IDs and geo codes
• Billing questions

Please contact Apify support or the actor developer through the Apify platform.