apollo-core-workflow-a

jeremylongshore's avatarfrom jeremylongshore

Implement Apollo.io lead search and enrichment workflow.Use when building lead generation features, searching for contacts,or enriching prospect data from Apollo.Trigger with phrases like "apollo lead search", "search apollo contacts","find leads in apollo", "apollo people search", "enrich contacts apollo".

939stars🔀114forks📁View on GitHub🕐Updated Jan 11, 2026

When & Why to Use This Skill

This Claude skill automates the Apollo.io lead generation and enrichment workflow, enabling users to identify high-quality B2B prospects and retrieve comprehensive firmographic and contact data. It streamlines sales intelligence gathering by integrating people search, company profiling, and contact verification into a single, efficient process to accelerate the sales cycle.

Use Cases

  • Targeted Prospecting: Search for specific decision-makers (e.g., CTOs or VPs of Sales) within niche industries like Fintech or Healthcare based on location, company size, and job titles.
  • Firmographic Enrichment: Automatically populate missing company details such as annual revenue, estimated employee count, founded year, and technology stacks using only a domain name.
  • Contact Data Retrieval: Find and verify professional email addresses and LinkedIn profiles for existing contact lists to improve the success rate of cold outreach campaigns.
  • Automated Lead Pipelines: Build end-to-end workflows that search for leads matching specific criteria, filter them by company health, and enrich their contact information for seamless CRM integration.
nameapollo-core-workflow-a
description|
allowed-toolsRead, Write, Edit, Bash(npm:*), Bash(pip:*), Grep
version1.0.0
licenseMIT
authorJeremy Longshore <jeremy@intentsolutions.io>

Apollo Core Workflow A: Lead Search & Enrichment

Overview

Implement the primary Apollo.io workflow for searching leads and enriching contact/company data. This is the core use case for B2B sales intelligence.

Prerequisites

  • Completed apollo-sdk-patterns setup
  • Valid Apollo API credentials
  • Understanding of your target market criteria

Workflow Components

1. People Search

Search for contacts based on various criteria like company, title, location, and industry.

// src/services/apollo/people-search.ts
import { apollo } from '../../lib/apollo/client';

interface PeopleSearchCriteria {
  domains?: string[];
  titles?: string[];
  locations?: string[];
  industries?: string[];
  employeeRanges?: string[];
  page?: number;
  perPage?: number;
}

export async function searchPeople(criteria: PeopleSearchCriteria) {
  const response = await apollo.searchPeople({
    q_organization_domains: criteria.domains,
    person_titles: criteria.titles,
    person_locations: criteria.locations,
    q_organization_industry_tag_ids: criteria.industries,
    organization_num_employees_ranges: criteria.employeeRanges,
    page: criteria.page || 1,
    per_page: criteria.perPage || 25,
  });

  return {
    contacts: response.people.map(transformPerson),
    pagination: response.pagination,
  };
}

function transformPerson(person: any) {
  return {
    id: person.id,
    name: person.name,
    firstName: person.first_name,
    lastName: person.last_name,
    title: person.title,
    email: person.email,
    phone: person.phone_numbers?.[0]?.sanitized_number,
    linkedin: person.linkedin_url,
    company: {
      id: person.organization?.id,
      name: person.organization?.name,
      domain: person.organization?.primary_domain,
    },
  };
}

2. Company Enrichment

Enrich company data to get comprehensive firmographic information.

// src/services/apollo/company-enrichment.ts
import { apollo } from '../../lib/apollo/client';

export async function enrichCompany(domain: string) {
  const response = await apollo.enrichOrganization(domain);
  const org = response.organization;

  return {
    id: org.id,
    name: org.name,
    domain: org.primary_domain,
    website: org.website_url,
    industry: org.industry,
    subIndustry: org.sub_industry,
    employeeCount: org.estimated_num_employees,
    annualRevenue: org.annual_revenue,
    founded: org.founded_year,
    description: org.short_description,
    technologies: org.technologies || [],
    locations: {
      headquarters: {
        city: org.city,
        state: org.state,
        country: org.country,
      },
    },
    social: {
      linkedin: org.linkedin_url,
      twitter: org.twitter_url,
      facebook: org.facebook_url,
    },
  };
}

3. Contact Enrichment

Enrich individual contacts with email and additional data.

// src/services/apollo/contact-enrichment.ts
export async function enrichContact(params: {
  email?: string;
  firstName?: string;
  lastName?: string;
  domain?: string;
  linkedinUrl?: string;
}) {
  const response = await apollo.enrichPerson({
    email: params.email,
    first_name: params.firstName,
    last_name: params.lastName,
    organization_domain: params.domain,
    linkedin_url: params.linkedinUrl,
  });

  return {
    ...transformPerson(response.person),
    enrichmentScore: calculateEnrichmentScore(response.person),
  };
}

function calculateEnrichmentScore(person: any): number {
  let score = 0;
  if (person.email) score += 30;
  if (person.phone_numbers?.length) score += 20;
  if (person.linkedin_url) score += 15;
  if (person.title) score += 10;
  if (person.organization) score += 15;
  if (person.city) score += 10;
  return score;
}

4. Complete Lead Generation Pipeline

// src/services/apollo/lead-pipeline.ts
import { searchPeople } from './people-search';
import { enrichCompany } from './company-enrichment';
import { enrichContact } from './contact-enrichment';

interface LeadCriteria {
  targetDomains?: string[];
  targetTitles: string[];
  targetLocations?: string[];
  targetIndustries?: string[];
  minEmployees?: number;
  maxEmployees?: number;
}

export async function generateLeads(criteria: LeadCriteria) {
  // Step 1: Search for matching contacts
  const searchResults = await searchPeople({
    domains: criteria.targetDomains,
    titles: criteria.targetTitles,
    locations: criteria.targetLocations,
    industries: criteria.targetIndustries,
  });

  // Step 2: Enrich companies for each unique domain
  const uniqueDomains = [...new Set(
    searchResults.contacts
      .map(c => c.company.domain)
      .filter(Boolean)
  )];

  const enrichedCompanies = await Promise.all(
    uniqueDomains.slice(0, 10).map(async (domain) => {
      try {
        return await enrichCompany(domain);
      } catch {
        return null;
      }
    })
  );

  const companyMap = new Map(
    enrichedCompanies
      .filter(Boolean)
      .map(c => [c!.domain, c])
  );

  // Step 3: Combine and filter results
  return searchResults.contacts.map(contact => ({
    ...contact,
    company: companyMap.get(contact.company.domain) || contact.company,
  }));
}

Usage Example

// Example: Find engineering leads at fintech companies
const leads = await generateLeads({
  targetTitles: ['VP Engineering', 'CTO', 'Engineering Manager'],
  targetIndustries: ['financial services', 'fintech'],
  minEmployees: 50,
  maxEmployees: 500,
});

console.log(`Found ${leads.length} leads`);
leads.forEach(lead => {
  console.log(`${lead.name} - ${lead.title} at ${lead.company.name}`);
});

Output

  • Paginated people search results
  • Enriched company firmographic data
  • Enriched contact data with emails
  • Combined lead pipeline with scoring

Error Handling

Error Cause Solution
Empty Results Too narrow criteria Broaden search parameters
Missing Emails Contact not in database Try LinkedIn enrichment
Rate Limited Too many enrichment calls Implement batching
Invalid Domain Domain doesn't exist Validate domains first

Resources

Next Steps

Proceed to apollo-core-workflow-b for email sequences and outreach.