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 json { "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.