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jeremylongshore

apollo-core-workflow-a

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


name: apollo-core-workflow-a description: | 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". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(pip:), Grep version: 1.0.0 license: MIT author: Jeremy 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

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

ErrorCauseSolution
Empty ResultsToo narrow criteriaBroaden search parameters
Missing EmailsContact not in databaseTry LinkedIn enrichment
Rate LimitedToo many enrichment callsImplement batching
Invalid DomainDomain doesn't existValidate domains first

Resources

Next Steps

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

Score

Total Score

85/100

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