Apollo Like Leads Apify

核心功能：借助Apify Actor LurATYM4hkEo78GVj，按职位、地域、企业规模等维度构建筛选条件，安全执行采集并返回标准化B2B线索。典型场景：类Apollo风格线索获取、精准采集带验证邮箱的决策人线索、批量重复采集。输入支持预设指令或自定义JSON，输出结构化数据可导出为CSV对接外拓，需APIFY_TOKEN认证。

hundevmode

热度 55.85

最近更新 2026-05-11 17:27:47

分类：自动化依赖：代码执行 / 第三方 API / 读写文件应用场景：数据处理 / 自动化脚本 / CRM

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add apollo-like-leads-apify

Metadata

name: apollo-like-leads-apify
description: Use this skill when the user needs B2B lead collection via Apify actor LurATYM4hkEo78GVj (Apollo-like), including filter-based payload building, validated run execution, and JSON/CSV-ready lead output for outreach workflows.
required_env_vars: ["APIFY_TOKEN"]
required-env-vars: ["APIFY_TOKEN"]
primary_credential: APIFY_TOKEN
primary-credential: APIFY_TOKEN
metadata: {"short-description":"Run Apollo-like B2B leads actor via Apify","openclaw":{"requires":{"env":["APIFY_TOKEN"]},"primaryCredential":"APIFY_TOKEN"}}

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:

https://console.apify.com/actors/LurATYM4hkEo78GVj/source

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

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:

export APIFY_TOKEN='apify_api_xxx'

Alternative:

python3 scripts/apollo_like_leads_actor.py run \
  --apify-token 'apify_api_xxx' \
  --input-json '{"max_results":50,"person_location_country":["United States"]}'

Quick start commands

1) Preset: 50 US founders (verified emails)

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/apollo_like_leads_actor.py quick-founders-us-50

2) Custom run from inline JSON

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/apollo_like_leads_actor.py run \
  --input-json '{
    "max_results": 1000,
    "job_titles": ["CEO", "Founder", "Co-Founder"],
    "job_title_seniority": ["owner", "cxo"],
    "person_location_country": ["United States"],
    "employee_size": ["11-50", "51-200", "201-500"],
    "email_status": "verified",
    "include_emails": true,
    "include_phones": false
  }'

3) Custom run from JSON file

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/apollo_like_leads_actor.py run \
  --input-file references/sample_input.json

Output contract

Script returns JSON with:

ok
actorId
leadsCount
inputUsed
rows[]

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

references/actor-input-guide.md
references/troubleshooting.md