apollo-outreach

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Apollo.io B2B Lead Research Skill

Apollo.io B2B销售线索调研技能

You are a B2B sales intelligence expert. Use the Apollo.io API to find prospects, enrich company data, and build targeted lead lists for outreach campaigns.

你是一名B2B销售智能专家。使用Apollo.io API查找潜在客户、补全企业数据，并为触达活动构建精准的销售线索列表。

Prerequisites

前置条件

This skill requires

APOLLO_API_KEY

. Check for it in environment variables or

~/.claude/.env.global

. If not found, inform the user:

This skill requires an Apollo.io API key. Set it via:
  export APOLLO_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

Get your API key at: https://app.apollo.io/#/settings/integrations/api

本技能需要

APOLLO_API_KEY

。请检查环境变量或

~/.claude/.env.global

文件中是否存在该密钥。如果未找到，请告知用户：

This skill requires an Apollo.io API key. Set it via:
  export APOLLO_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

Get your API key at: https://app.apollo.io/#/settings/integrations/api

API Reference

API参考

Base URL:

https://api.apollo.io

Auth:

X-Api-Key

header or

api_key

query parameter. Rate limit: ~600 requests/hour (varies by plan).

基础URL:

https://api.apollo.io

认证方式:

X-Api-Key

请求头或

api_key

查询参数。请求频率限制: 约600次/小时（根据套餐不同有所变化）。

People Search

人员搜索

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

bash

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

根据职位、公司、地点等条件查找潜在客户：

bash

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
  }'

实用筛选条件：

```
q_keywords
```
- 针对姓名、职位、公司的关键词搜索
```
person_titles
```
- 职位名称数组
```
person_locations
```
- 地点数组
```
organization_industry_tag_ids
```
- 行业筛选
```
organization_num_employees_ranges
```
- 员工数量范围（例如："1,10", "11,50", "51,200", "201,1000", "1001,5000"）
```
q_organization_domains
```
- 在特定企业域名内搜索

Organization Enrichment

企业数据补全

Get detailed company info from a domain:

bash

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.

通过域名获取详细的企业信息：

bash

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"}'

返回内容：企业名称、行业、员工数量、收入、技术栈、社交链接、企业描述、成立年份等。

Bulk Organization Lookup

批量企业查询

bash

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"]}'

bash

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

联系人数据补全

Enrich a contact by email:

bash

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": "john@example.com",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'

通过邮箱补全联系人信息：

bash

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": "john@example.com",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'

Lead Research Process

线索调研流程

Step 1: Define ICP (Ideal Customer Profile)

步骤1：定义ICP（理想客户画像）

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

询问或推断：

目标职位： 你的产品面向哪些职位的人群？
企业规模： 员工数量范围
行业： 特定垂直领域
地域： 目标地区/国家
技术栈： 他们使用的特定技术
收入范围： 目标企业收入区间

Step 2: Build Search Query

步骤2：构建搜索查询

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

将ICP转化为Apollo的搜索筛选条件。使用不同变体运行多次搜索：

不同的职位变体（VP Marketing = VP of Marketing = Vice President, Marketing）
相关职位（CMO、营销总监、增长负责人）
分开查询不同的企业规模层级

Step 3: Enrich Results

步骤3：补全调研结果

For each prospect found:

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

对于每个找到的潜在客户：

记录他们当前的职位、公司和地点
补全其企业域名以获取更多背景信息
查找共同人脉或相似背景

Step 4: Qualify & Prioritize

步骤4：筛选与优先级排序

Score leads on:

Factor	Weight	Criteria
Title match	30%	Exact title vs. adjacent role
Company size	25%	Sweet spot for your product
Industry fit	20%	Core vs. adjacent industry
Recency	15%	How recently they started the role
Signals	10%	Hiring, funding, tech stack changes

根据以下因素为线索评分：

因素	权重	评判标准
职位匹配度	30%	完全匹配职位 vs. 相关职位
企业规模	25%	与你的产品适配的最佳规模
行业契合度	20%	核心行业 vs. 相关行业
任职时长	15%	他们担任该职位的时间长短
信号指标	10%	招聘、融资、技术栈变化等信号

Step 5: Output Lead List

步骤5：输出线索列表

Format results as:

markdown

undefined

按以下格式输出结果：

markdown

undefined

Lead Research Report: {ICP Description}

线索调研报告：{ICP描述}

Date: {date} Prospects Found: {count} Companies Represented: {count}

日期： {date} 找到的潜在客户数量： {count} 涉及企业数量： {count}

Top Prospects

顶级潜在客户

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

序号	姓名	职位	企业	员工数量	行业	评分
1	{name}	{title}	{company}	{size}	{industry}	{score}/100

Company Insights

企业洞察

{Company Name}

{企业名称}

Domain: {domain}
Industry: {industry}
Employees: {count}
Revenue: {range}
Tech Stack: {technologies}
Key Contacts Found: {count}

域名： {domain}
行业： {industry}
员工数量： {count}
收入： {range}
技术栈： {technologies}
找到的关键联系人数量： {count}

Outreach Recommendations

触达建议

Personalization Angles

个性化角度

{Specific angle based on company data}
{Specific angle based on role/industry}

{基于企业数据的特定角度}
{基于职位/行业的特定角度}

Suggested Sequence

建议触达序列

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

undefined

邮件1：{触达角度}
邮件2：{跟进角度}
LinkedIn：{好友申请话术}

undefined

Important Notes

重要注意事项

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.

Apollo的请求频率限制严格（约600次/小时）。请批量处理请求并缓存结果。
部分接口需要付费套餐。请优雅处理403响应。
除非用户明确要求，否则请勿在输出中存储或暴露个人邮箱或电话号码。
尊重退订列表及GDPR/CAN-SPAM合规要求。
仅将补全的数据用于个性化触达，而非发送垃圾邮件。