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 co...
Installable skillMITBy DicklesworthstoneUpdated Oct 27, 2026
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instructions.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
### 1. People Search
Search for contacts based on various criteria like company, title, location, and industry.
```typescript
// 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.
```typescript
// 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.
```typescript
// 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
```typescript
// 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
```typescript
// 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
- [Apollo People Search Docs](https://apolloio.github.io/apollo-api-docs/#search-for-people)
- [Apollo Organization Enrichment](https://apolloio.github.io/apollo-api-docs/#enrich-organization)
- [Apollo Person Enrichment](https://apolloio.github.io/apollo-api-docs/#enrich-person)
## Next Steps
Proceed to `apollo-core-workflow-b` for email sequences and outreach.
---
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
### 1. People Search
Search for contacts based on various criteria like company, title, location, and industry.
```typescript
// 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.
```typescript
// 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.
```typescript
// 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
```typescript
// 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
```typescript
// 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
- [Apollo People Search Docs](https://apolloio.github.io/apollo-api-docs/#search-for-people)
- [Apollo Organization Enrichment](https://apolloio.github.io/apollo-api-docs/#enrich-organization)
- [Apollo Person Enrichment](https://apolloio.github.io/apollo-api-docs/#enrich-person)
## Next Steps
Proceed to `apollo-core-workflow-b` for email sequences and outreach.
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
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