Best LinkedIn Sales Navigator Phone Validation API & Profile Verification Integration 2025

// LinkedIn Sales Navigator + 1lookup Integration
const validateLinkedInProspect = async (linkedinProfile) => {
  try {
    // Extract contact information from LinkedIn profile
    const phoneNumber = extractPhoneFromProfile(linkedinProfile);
    const email = extractEmailFromProfile(linkedinProfile);
    
    if (phoneNumber) {
      // Validate phone number
      const phoneValidation = await fetch('https://app.1lookup.io/api/v1/phone', {
        method: 'POST',
        headers: {
          'Authorization': 'Bearer YOUR_API_KEY',
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({ 
          phone: phoneNumber,
          enrichment: true,
          linkedin_profile: linkedinProfile.publicIdentifier
        })
      });
      
      const phoneResult = await phoneValidation.json();
      
      // Check compliance before proceeding
      if (phoneResult.data.compliance_check.linkedin_safe) {
        return {
          valid: phoneResult.data.classification.is_valid,
          enrichedProfile: {
            ...linkedinProfile,
            validatedPhone: phoneNumber,
            phoneCarrier: phoneResult.data.carrier_details?.name,
            riskLevel: phoneResult.data.risk_assessment?.risk_level
          }
        };
      }
    }
    
    return { valid: false, reason: 'Compliance check failed' };
  } catch (error) {
    console.error('LinkedIn validation error:', error);
    return { valid: false, error: error.message };
  }
};

// Usage in Sales Navigator workflow
const processProspectList = async (prospects) => {
  const validatedProspects = [];
  
  for (const prospect of prospects) {
    const validation = await validateLinkedInProspect(prospect);
    
    if (validation.valid) {
      validatedProspects.push(validation.enrichedProfile);
      
      // Add delay to respect LinkedIn rate limits
      await new Promise(resolve => setTimeout(resolve, 2000));
    }
  }
  
  return validatedProspects;
};

// Advanced LinkedIn Profile Verification
const verifyLinkedInProfile = async (profileData) => {
  const verificationResponse = await fetch('https://app.1lookup.io/api/v1/linkedin/verify', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      linkedin_url: profileData.publicProfileUrl,
      profile_data: {
        name: profileData.localizedName,
        headline: profileData.localizedHeadline,
        location: profileData.locationName,
        industry: profileData.industryName,
        connections: profileData.numConnections,
        experience: profileData.positions?.values || [],
        education: profileData.educations?.values || []
      },
      verification_level: 'comprehensive'
    })
  });
  
  const result = await verificationResponse.json();
  
  return {
    authenticity_score: result.data.authenticity_score, // 0-100
    risk_factors: result.data.risk_factors,
    profile_completeness: result.data.completeness_score,
    verification_status: result.data.verification_status,
    recommendations: result.data.engagement_recommendations
  };
};

// Profile scoring for prospecting prioritization
const scoreProspectProfile = (verificationResult, contactValidation) => {
  let score = 0;
  
  // Authenticity weighting (40% of total score)
  score += (verificationResult.authenticity_score * 0.4);
  
  // Profile completeness (20% of total score)
  score += (verificationResult.profile_completeness * 0.2);
  
  // Contact validation (30% of total score)
  if (contactValidation.phone_valid) score += 30;
  if (contactValidation.email_valid) score += 20;
  
  // Engagement probability (10% of total score)
  score += (verificationResult.engagement_probability * 0.1);
  
  return {
    total_score: Math.round(score),
    priority: score >= 80 ? 'High' : score >= 60 ? 'Medium' : 'Low',
    recommended_approach: verificationResult.recommendations
  };
};

// LinkedIn Sales Navigator Automation with Validation
class LinkedInProspectingManager {
  constructor(apiKey, salesNavigatorCookies) {
    this.apiKey = apiKey;
    this.cookies = salesNavigatorCookies;
    this.rateLimiter = new RateLimiter();
    this.complianceMonitor = new ComplianceMonitor();
  }

  async automatedProspecting(searchCriteria, connectionLimit = 20) {
    try {
      // Search prospects in Sales Navigator
      const prospects = await this.searchProspects(searchCriteria);
      
      // Validate and score prospects
      const validatedProspects = await this.validateProspectBatch(prospects);
      
      // Sort by score and select top prospects
      const topProspects = validatedProspects
        .sort((a, b) => b.score - a.score)
        .slice(0, connectionLimit);
      
      // Execute connection campaign with compliance checks
      return await this.executeConnectionCampaign(topProspects);
      
    } catch (error) {
      console.error('Prospecting automation error:', error);
      throw error;
    }
  }

  async validateProspectBatch(prospects) {
    const validatedProspects = [];
    
    for (const prospect of prospects) {
      // Check rate limits and compliance
      await this.complianceMonitor.checkLimits();
      
      const validation = await this.validateProspect(prospect);
      
      if (validation.compliant && validation.score >= 60) {
        validatedProspects.push({
          ...prospect,
          validation: validation,
          score: validation.score
        });
      }
      
      // Intelligent delay between validations
      await this.rateLimiter.delay();
    }
    
    return validatedProspects;
  }

  async validateProspect(prospect) {
    // Validate phone number if available
    let phoneValidation = null;
    if (prospect.phone) {
      const phoneResponse = await fetch('https://app.1lookup.io/api/v1/phone', {
        method: 'POST',
        headers: {
          'Authorization': `Bearer ${this.apiKey}`,
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({
          phone: prospect.phone,
          linkedin_context: true
        })
      });
      phoneValidation = await phoneResponse.json();
    }
    
    // Verify LinkedIn profile
    const profileVerification = await this.verifyLinkedInProfile(prospect);
    
    // Calculate composite score
    const score = this.calculateProspectScore(
      phoneValidation,
      profileVerification,
      prospect
    );
    
    return {
      phone_valid: phoneValidation?.data.classification.is_valid || false,
      profile_authentic: profileVerification.authenticity_score >= 80,
      score: score,
      compliant: this.checkCompliance(prospect, phoneValidation),
      recommendations: this.generateRecommendations(prospect, score)
    };
  }

  calculateProspectScore(phoneValidation, profileVerification, prospect) {
    let score = 0;
    
    // Phone validation score (30%)
    if (phoneValidation?.data.classification.is_valid) {
      score += 30;
      if (phoneValidation.data.risk_assessment?.risk_level === 'low') {
        score += 10;
      }
    }
    
    // Profile authenticity (40%)
    score += (profileVerification.authenticity_score * 0.4);
    
    // Profile completeness (20%)
    score += (profileVerification.profile_completeness * 0.2);
    
    // Connection probability (10%)
    score += this.calculateConnectionProbability(prospect) * 0.1;
    
    return Math.round(score);
  }

  async executeConnectionCampaign(prospects) {
    const results = {
      sent: 0,
      accepted: 0,
      pending: 0,
      failed: 0
    };
    
    for (const prospect of prospects) {
      try {
        // Check daily connection limits
        if (await this.complianceMonitor.canSendConnection()) {
          
          // Personalize connection message
          const message = this.personalizeMessage(prospect);
          
          // Send connection request
          const connectionResult = await this.sendConnectionRequest(
            prospect.linkedinId, 
            message
          );
          
          if (connectionResult.success) {
            results.sent++;
            results.pending++;
            
            // Log for tracking
            await this.logConnectionActivity(prospect, 'sent');
          } else {
            results.failed++;
          }
          
          // Intelligent delay between connections (2-5 minutes)
          await this.rateLimiter.connectionDelay();
        }
      } catch (error) {
        console.error(`Connection failed for ${prospect.name}:`, error);
        results.failed++;
      }
    }
    
    return results;
  }
}

// LinkedIn Compliance & Safety Manager
class LinkedInComplianceManager {
  constructor() {
    this.dailyLimits = {
      connections: 50,
      messages: 100,
      searches: 300,
      profileViews: 1000
    };
    this.activityLog = new Map();
    this.riskThreshold = 0.7;
  }

  async checkComplianceBeforeAction(actionType, accountData) {
    const today = new Date().toDateString();
    const todayActivity = this.activityLog.get(today) || {
      connections: 0,
      messages: 0,
      searches: 0,
      profileViews: 0
    };

    // Check daily limits
    if (todayActivity[actionType] >= this.dailyLimits[actionType]) {
      throw new Error(`Daily ${actionType} limit reached`);
    }

    // Analyze behavioral patterns
    const riskScore = await this.calculateRiskScore(accountData, todayActivity);
    
    if (riskScore > this.riskThreshold) {
      throw new Error(`Risk score too high: ${riskScore}. Action blocked for compliance.`);
    }

    return {
      approved: true,
      riskScore: riskScore,
      recommendedDelay: this.calculateOptimalDelay(actionType, todayActivity)
    };
  }

  async calculateRiskScore(accountData, todayActivity) {
    let riskScore = 0;

    // Account age factor (newer accounts are higher risk)
    const accountAge = Date.now() - new Date(accountData.createdAt).getTime();
    const daysSinceCreation = accountAge / (1000 * 60 * 60 * 24);
    if (daysSinceCreation < 30) riskScore += 0.3;
    else if (daysSinceCreation < 90) riskScore += 0.1;

    // Activity velocity (too fast = higher risk)
    const totalActivity = Object.values(todayActivity).reduce((sum, count) => sum + count, 0);
    const hoursSinceStartOfDay = (Date.now() - new Date().setHours(0,0,0,0)) / (1000 * 60 * 60);
    const activityRate = totalActivity / Math.max(hoursSinceStartOfDay, 1);
    
    if (activityRate > 20) riskScore += 0.4;
    else if (activityRate > 10) riskScore += 0.2;

    // Connection acceptance rate
    const acceptanceRate = accountData.connectionsAccepted / Math.max(accountData.connectionsSent, 1);
    if (acceptanceRate < 0.3) riskScore += 0.2;

    // Profile completeness (incomplete profiles are suspicious)
    if (accountData.profileCompleteness < 80) riskScore += 0.1;

    return Math.min(riskScore, 1.0);
  }

  calculateOptimalDelay(actionType, todayActivity) {
    const baseDelays = {
      connections: 120000, // 2 minutes
      messages: 60000,     // 1 minute
      searches: 30000,     // 30 seconds
      profileViews: 15000  // 15 seconds
    };

    const activityFactor = todayActivity[actionType] / this.dailyLimits[actionType];
    const delayMultiplier = 1 + (activityFactor * 2); // Increase delay as we approach limits

    return Math.round(baseDelays[actionType] * delayMultiplier * (0.8 + Math.random() * 0.4));
  }

  logActivity(actionType) {
    const today = new Date().toDateString();
    const todayActivity = this.activityLog.get(today) || {
      connections: 0,
      messages: 0,
      searches: 0,
      profileViews: 0
    };

    todayActivity[actionType]++;
    this.activityLog.set(today, todayActivity);

    // Clean old logs
    this.cleanOldLogs();
  }

  cleanOldLogs() {
    const sevenDaysAgo = new Date();
    sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);

    for (const [date] of this.activityLog) {
      if (new Date(date) < sevenDaysAgo) {
        this.activityLog.delete(date);
      }
    }
  }

  generateComplianceReport() {
    const today = new Date().toDateString();
    const todayActivity = this.activityLog.get(today) || {};

    return {
      date: today,
      activity: todayActivity,
      remainingLimits: {
        connections: this.dailyLimits.connections - (todayActivity.connections || 0),
        messages: this.dailyLimits.messages - (todayActivity.messages || 0),
        searches: this.dailyLimits.searches - (todayActivity.searches || 0),
        profileViews: this.dailyLimits.profileViews - (todayActivity.profileViews || 0)
      },
      recommendations: this.generateRecommendations(todayActivity)
    };
  }

  generateRecommendations(todayActivity) {
    const recommendations = [];

    Object.entries(todayActivity).forEach(([activity, count]) => {
      const limit = this.dailyLimits[activity];
      const usage = count / limit;

      if (usage > 0.8) {
        recommendations.push(`Approaching daily ${activity} limit. Consider slowing down.`);
      } else if (usage > 0.5) {
        recommendations.push(`Moderate ${activity} usage detected. Monitor closely.`);
      }
    });

    return recommendations;
  }
}

// Enterprise LinkedIn Account Manager with Validation
class EnterpriseLinkedInManager {
  constructor(config) {
    this.accounts = config.accounts;
    this.validationAPI = new ValidationAPI(config.apiKey);
    this.complianceManager = new ComplianceManager();
    this.analytics = new AnalyticsTracker();
  }

  async distributedProspecting(campaignConfig) {
    const results = {
      totalProspects: 0,
      validatedProspects: 0,
      connectionsSent: 0,
      accountsUsed: 0
    };

    for (const account of this.accounts) {
      try {
        // Check account health and compliance
        const accountStatus = await this.checkAccountHealth(account);
        if (!accountStatus.healthy) continue;

        // Get prospects for this account
        const prospects = await this.getProspectsForAccount(
          account, 
          campaignConfig.searchCriteria
        );

        // Validate prospects in batches
        const validatedProspects = await this.validateProspectBatch(
          prospects, 
          account.id
        );

        // Execute connections with intelligent distribution
        const connectionResults = await this.executeConnections(
          validatedProspects, 
          account
        );

        // Update results
        results.totalProspects += prospects.length;
        results.validatedProspects += validatedProspects.length;
        results.connectionsSent += connectionResults.sent;
        results.accountsUsed++;

        // Inter-account delay to avoid pattern detection
        await this.intelligentDelay();

      } catch (error) {
        console.error(`Account ${account.id} error:`, error);
        await this.handleAccountError(account, error);
      }
    }

    return results;
  }

  async validateProspectBatch(prospects, accountId) {
    const batchSize = 10;
    const validatedProspects = [];

    for (let i = 0; i < prospects.length; i += batchSize) {
      const batch = prospects.slice(i, i + batchSize);
      
      const batchPromises = batch.map(async (prospect) => {
        try {
          // Multi-layer validation
          const phoneValidation = await this.validatePhone(prospect.phone);
          const emailValidation = await this.validateEmail(prospect.email);
          const profileValidation = await this.validateProfile(prospect.linkedinUrl);
          
          // Composite scoring
          const score = this.calculateCompositeScore(
            phoneValidation,
            emailValidation,
            profileValidation,
            prospect
          );

          if (score >= 70) {
            return {
              ...prospect,
              validation: {
                phone: phoneValidation,
                email: emailValidation,
                profile: profileValidation,
                compositeScore: score
              },
              accountId: accountId
            };
          }
        } catch (error) {
          console.error(`Validation error for ${prospect.name}:`, error);
        }
        return null;
      });

      const batchResults = await Promise.all(batchPromises);
      validatedProspects.push(...batchResults.filter(Boolean));

      // Rate limiting between batches
      await new Promise(resolve => setTimeout(resolve, 2000));
    }

    return validatedProspects;
  }

  async executeConnections(prospects, account) {
    const results = { sent: 0, failed: 0, skipped: 0 };
    const dailyLimit = account.dailyConnectionLimit || 30;
    let connectionsToday = await this.getTodayConnections(account.id);

    for (const prospect of prospects) {
      if (connectionsToday >= dailyLimit) {
        results.skipped++;
        continue;
      }

      try {
        // Compliance check
        const complianceCheck = await this.complianceManager.checkAction(
          'connection',
          account,
          prospect
        );

        if (!complianceCheck.approved) {
          results.skipped++;
          continue;
        }

        // Personalized messaging
        const message = await this.generatePersonalizedMessage(prospect, account);

        // Send connection
        const connectionResult = await this.sendConnection(
          account,
          prospect,
          message
        );

        if (connectionResult.success) {
          results.sent++;
          connectionsToday++;
          
          // Log for analytics
          await this.analytics.logConnection(account.id, prospect, connectionResult);
        } else {
          results.failed++;
        }

        // Dynamic delay based on account activity
        const delay = this.calculateDynamicDelay(account, connectionsToday);
        await new Promise(resolve => setTimeout(resolve, delay));

      } catch (error) {
        console.error(`Connection error:`, error);
        results.failed++;
      }
    }

    return results;
  }

  async generatePersonalizedMessage(prospect, account) {
    // Use AI to generate contextual messages
    const context = {
      prospectName: prospect.name,
      prospectCompany: prospect.company,
      prospectRole: prospect.title,
      senderName: account.name,
      senderCompany: account.company,
      commonConnections: prospect.mutualConnections || 0,
      industryOverlap: this.calculateIndustryOverlap(prospect, account)
    };

    return this.messageGenerator.generatePersonalized(context);
  }

  calculateDynamicDelay(account, connectionsToday) {
    const baseDelay = 120000; // 2 minutes
    const accountAge = this.getAccountAgeInDays(account);
    const activityFactor = connectionsToday / (account.dailyConnectionLimit || 30);
    const accountHealthFactor = account.healthScore / 100;

    // Newer accounts need longer delays
    let ageFactor = 1;
    if (accountAge < 30) ageFactor = 2;
    else if (accountAge < 90) ageFactor = 1.5;

    // Higher activity needs longer delays
    const activityMultiplier = 1 + activityFactor;

    // Lower health scores need longer delays
    const healthMultiplier = 2 - accountHealthFactor;

    const finalDelay = baseDelay * ageFactor * activityMultiplier * healthMultiplier;
    
    // Add randomness to avoid patterns
    const randomFactor = 0.7 + (Math.random() * 0.6);
    
    return Math.round(finalDelay * randomFactor);
  }

  async checkAccountHealth(account) {
    const healthChecks = await Promise.all([
      this.checkConnectionAcceptanceRate(account),
      this.checkRecentRestrictions(account),
      this.checkProfileCompleteness(account),
      this.checkRecentActivity(account)
    ]);

    const healthScore = healthChecks.reduce((sum, check) => sum + check.score, 0) / healthChecks.length;

    return {
      healthy: healthScore >= 70,
      score: healthScore,
      issues: healthChecks.filter(check => check.score < 70),
      recommendations: this.generateHealthRecommendations(healthChecks)
    };
  }
}

// Campaign Analytics & Optimization System
class LinkedInCampaignAnalytics {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.metrics = new Map();
    this.optimizationEngine = new OptimizationEngine();
  }

  async trackCampaignPerformance(campaignId, realTimeData) {
    const analytics = {
      campaignId,
      timestamp: Date.now(),
      prospects: {
        total: realTimeData.totalProspects,
        validated: realTimeData.validatedProspects,
        contacted: realTimeData.contactedProspects,
        responded: realTimeData.respondedProspects
      },
      validation: {
        phoneValidationRate: realTimeData.phoneValidationRate,
        emailValidationRate: realTimeData.emailValidationRate,
        profileVerificationRate: realTimeData.profileVerificationRate
      },
      engagement: {
        connectionAcceptanceRate: realTimeData.connectionAcceptanceRate,
        messageResponseRate: realTimeData.messageResponseRate,
        meetingBookingRate: realTimeData.meetingBookingRate
      },
      compliance: {
        accountRestrictions: realTimeData.accountRestrictions,
        warningsReceived: realTimeData.warningsReceived,
        complianceScore: realTimeData.complianceScore
      }
    };

    // Store metrics
    this.metrics.set(campaignId, analytics);

    // Real-time optimization
    const optimizations = await this.optimizationEngine.analyze(analytics);
    
    if (optimizations.length > 0) {
      await this.applyOptimizations(campaignId, optimizations);
    }

    return analytics;
  }

  async applyOptimizations(campaignId, optimizations) {
    for (const optimization of optimizations) {
      switch (optimization.type) {
        case 'REDUCE_VELOCITY':
          await this.adjustCampaignVelocity(campaignId, optimization.factor);
          break;
        case 'IMPROVE_TARGETING':
          await this.updateTargetingCriteria(campaignId, optimization.criteria);
          break;
        case 'ENHANCE_MESSAGING':
          await this.updateMessageTemplates(campaignId, optimization.templates);
          break;
        case 'PAUSE_ACCOUNT':
          await this.pauseRiskyAccount(campaignId, optimization.accountId);
          break;
      }
    }
  }

  generatePerformanceReport(campaignId) {
    const metrics = this.metrics.get(campaignId);
    if (!metrics) return null;

    return {
      summary: {
        conversionRate: (metrics.prospects.responded / metrics.prospects.contacted) * 100,
        validationAccuracy: (metrics.validation.phoneValidationRate + 
                           metrics.validation.emailValidationRate) / 2,
        complianceScore: metrics.compliance.complianceScore,
        riskLevel: this.calculateRiskLevel(metrics)
      },
      recommendations: this.generateRecommendations(metrics),
      nextActions: this.suggestNextActions(metrics)
    };
  }

  calculateRiskLevel(metrics) {
    let riskScore = 0;

    // Low acceptance rates increase risk
    if (metrics.engagement.connectionAcceptanceRate < 30) riskScore += 30;
    else if (metrics.engagement.connectionAcceptanceRate < 50) riskScore += 15;

    // Account restrictions are high risk
    riskScore += metrics.compliance.accountRestrictions * 25;

    // Low compliance scores increase risk
    if (metrics.compliance.complianceScore < 70) riskScore += 20;

    // High validation failure rates indicate poor targeting
    if (metrics.validation.phoneValidationRate < 60) riskScore += 10;

    return Math.min(riskScore, 100);
  }

  async generateAIInsights(campaignData) {
    const insights = await fetch('https://app.1lookup.io/api/v1/linkedin/insights', {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        campaignData: campaignData,
        analysisType: 'comprehensive',
        includeRecommendations: true
      })
    });

    const result = await insights.json();

    return {
      performanceInsights: result.data.insights,
      optimizationOpportunities: result.data.opportunities,
      riskAssessment: result.data.risks,
      predictiveAnalytics: result.data.predictions
    };
  }
}