Apollo-like B2B Leads (Apify Actor)
Overview
This skill runs the Apify actor LurATYM4hkEo78GVj to collect Apollo-style B2B leads with filters such as job title, seniority, location, employee size, industry, and email quality.
Actor link:
Use this skill when a user asks to:
- - collect B2B contacts similar to Apollo workflows
- fetch leads with verified emails and optional phones
- build payloads for founders/execs by geo and industry
- run repeatable lead collection from script/API
Scope
- - Build validated actor input payloads.
- Run actor with secure token handling (
APIFY_TOKEN env or --apify-token). - Return normalized summary and raw lead rows.
- Support quick preset runs and custom JSON input.
Step-by-step workflow
- 1. Confirm target ICP (titles, seniority, location, company size, industries).
- Build payload with required lead count and enrichment switches.
- Run actor using
scripts/apollo_like_leads_actor.py. - Validate lead count and inspect sample rows.
- Export rows to n8n/Sheets/CSV as needed.
Authentication
Preferred:
CODEBLOCK0
Alternative:
CODEBLOCK1
Quick start commands
1) Preset: 50 US founders (verified emails)
CODEBLOCK2
2) Custom run from inline JSON
CODEBLOCK3
3) Custom run from JSON file
CODEBLOCK4
Output contract
Script returns JSON with:
- - INLINECODE5
- INLINECODE6
- INLINECODE7
- INLINECODE8
- INLINECODE9
You can pass rows directly to n8n HTTP/Code nodes or map into Google Sheets columns.
Important rules
- - Do not hardcode API keys in workflow templates.
- Keep
max_results realistic for testing first (e.g., 50-200). - Use
email_status: "verified" for higher outreach quality. - If the user wants phone-heavy output, set
include_phones: true explicitly. - Seniority values should match actor enum (
owner, cxo, vp, director, etc.); this script auto-normalizes common Apollo values like founder -> owner.
References
- - INLINECODE19
- INLINECODE20
Apollo风格B2B线索（Apify Actor）
概述
该技能运行Apify Actor LurATYM4hkEo78GVj，通过职位、资历、地点、员工规模、行业和邮箱质量等筛选条件，收集Apollo风格的B2B线索。
Actor链接：
- - https://console.apify.com/actors/LurATYM4hkEo78GVj/source
当用户提出以下需求时使用此技能：
- - 收集类似Apollo工作流的B2B联系人
- 获取带有已验证邮箱和可选电话的线索
- 按地域和行业为创始人/高管构建数据负载
- 通过脚本/API运行可重复的线索收集
范围
- - 构建经过验证的Actor输入负载。
- 使用安全的令牌处理运行Actor（APIFY_TOKEN环境变量或--apify-token）。
- 返回标准化摘要和原始线索行。
- 支持快速预设运行和自定义JSON输入。
分步工作流
- 1. 确认目标ICP（职位、资历、地点、公司规模、行业）。
- 构建包含所需线索数量和丰富化开关的负载。
- 使用scripts/apollolikeleads_actor.py运行Actor。
- 验证线索数量并检查样本行。
- 根据需要将行导出到n8n/Sheets/CSV。
身份验证
推荐方式：
bash
export APIFYTOKEN=apifyapi_xxx
替代方式：
bash
python3 scripts/apollolikeleads_actor.py run \
--apify-token apifyapixxx \
--input-json {maxresults:50,personlocation_country:[United States]}
快速启动命令
1) 预设：50位美国创始人（已验证邮箱）
bash
APIFYTOKEN=apifyapi_xxx \
python3 scripts/apollolikeleads_actor.py quick-founders-us-50
2) 从内联JSON自定义运行
bash
APIFYTOKEN=apifyapi_xxx \
python3 scripts/apollolikeleads_actor.py run \
--input-json {
max_results: 1000,
job_titles: [CEO, Founder, Co-Founder],
jobtitleseniority: [owner, cxo],
personlocationcountry: [United States],
employee_size: [11-50, 51-200, 201-500],
email_status: verified,
include_emails: true,
include_phones: false
}
3) 从JSON文件自定义运行
bash
APIFYTOKEN=apifyapi_xxx \
python3 scripts/apollolikeleads_actor.py run \
--input-file references/sample_input.json
输出约定
脚本返回JSON，包含：
- - ok
- actorId
- leadsCount
- inputUsed
- rows[]
您可以将rows直接传递给n8n HTTP/Code节点，或映射到Google Sheets列。
重要规则
- - 不要在工作流模板中硬编码API密钥。
- 先保持maxresults为合理测试值（例如50-200）。
- 使用emailstatus: verified以获得更高的外联质量。
- 如果用户需要大量电话输出，请明确设置include_phones: true。
- 资历值应与Actor枚举匹配（owner、cxo、vp、director等）；此脚本会自动标准化常见的Apollo值，如founder -> owner。
参考资料
- - references/actor-input-guide.md
- references/troubleshooting.md
