Apollo Outreach

Find prospects by role, company, location, and more:

curl -s -X POST "https://api.apollo.io/api/v1/mixed_people/search" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "q_keywords": "vp marketing",
    "person_titles": ["VP Marketing", "Head of Marketing", "CMO"],
    "organization_num_employees_ranges": ["51,200"],
    "person_locations": ["United States"],
    "page": 1,
    "per_page": 10
  }'

Useful filters:

• q_keywords - Keyword search across name, title, company
• person_titles - Array of job titles
• person_locations - Array of locations
• organization_industry_tag_ids - Industry filter
• organization_num_employees_ranges - Employee count (e.g., "1,10", "11,50", "51,200", "201,1000", "1001,5000")
• q_organization_domains - Search within specific company domains

Organization Enrichment

Get detailed company info from a domain:

curl -s -X POST "https://api.apollo.io/api/v1/organizations/enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domain": "example.com"}'

Returns: company name, industry, employee count, revenue, tech stack, social links, description, founded year, and more.

Bulk Organization Lookup

curl -s -X POST "https://api.apollo.io/api/v1/organizations/bulk_enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domains": ["example.com", "company2.com", "company3.com"]}'

People Enrichment

Enrich a contact by email:

curl -s -X POST "https://api.apollo.io/api/v1/people/match" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "email": "[email protected]",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'

Lead Research Process

Step 1: Define ICP (Ideal Customer Profile)

Ask or infer:

• Target titles: What roles are you selling to?
• Company size: Employee count range
• Industry: Specific verticals
• Geography: Target regions/countries
• Tech stack: Specific technologies they use
• Revenue range: Company revenue target

Step 2: Build Search Query

Translate ICP into Apollo search filters. Run multiple searches with variations:

• Different title variations (VP Marketing = VP of Marketing = Vice President, Marketing)
• Adjacent roles (CMO, Director of Marketing, Head of Growth)
• Company size tiers separately

Step 3: Enrich Results

For each prospect found:

1. Note their current title, company, and location
2. Enrich their company domain for additional context
3. Look for mutual connections or shared background

Step 4: Qualify & Prioritize

Score leads on:

Step 5: Output Lead List

Format results as:

# Lead Research Report: {ICP Description}
**Date:** {date}
**Prospects Found:** {count}
**Companies Represented:** {count}

## Top Prospects

| # | Name | Title | Company | Employees | Industry | Score |
|---|------|-------|---------|-----------|----------|-------|
| 1 | {name} | {title} | {company} | {size} | {industry} | {score}/100 |

## Company Insights

### {Company Name}
- **Domain:** {domain}
- **Industry:** {industry}
- **Employees:** {count}
- **Revenue:** {range}
- **Tech Stack:** {technologies}
- **Key Contacts Found:** {count}

## Outreach Recommendations

### Personalization Angles
1. {Specific angle based on company data}
2. {Specific angle based on role/industry}

### Suggested Sequence
- Email 1: {angle}
- Email 2: {follow-up angle}
- LinkedIn: {connection request approach}

Important Notes

• Apollo rate limits are strict (~600/hour). Batch requests and cache results.
• Some endpoints require a paid plan. Handle 403 responses gracefully.
• Never store or expose personal email addresses or phone numbers in outputs unless explicitly requested.
• Respect opt-out lists and GDPR/CAN-SPAM compliance.
• Use enrichment data for personalization, not for unsolicited spam.