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Apollo Like Leads Apify

作者 hundevmode · GitHub ↗ · v1.0.0
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在 OpenClaw 中安装
/install apollo-like-leads-apify
功能描述
Use this skill when the user needs B2B lead collection via Apify actor LurATYM4hkEo78GVj (Apollo-like), including filter-based payload building, validated ru...
使用说明 (SKILL.md)

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

  1. Confirm target ICP (titles, seniority, location, company size, industries).
  2. Build payload with required lead count and enrichment switches.
  3. Run actor using scripts/apollo_like_leads_actor.py.
  4. Validate lead count and inspect sample rows.
  5. 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
安全使用建议
This skill is coherent: it runs the Apify actor identified in the description and needs only your APIFY_TOKEN. Before installing, verify the actor ID on Apify, use a scoped token (not a broad or long-lived personal credential), and test with small runs (max_results 50–200). Be aware the script will make network calls to api.apify.com (it does not call other endpoints). Also confirm that collecting and using scraped contact data complies with applicable laws and the target services' terms of use. If you don't want autonomous agent invocation, disable model invocation when installing or only grant the skill to trusted agents. Note the repository metadata has a small mismatch about which field is the primary credential — functionally the script uses APIFY_TOKEN as expected.
功能分析
Type: OpenClaw Skill Name: apollo-like-leads-apify Version: 1.0.0 This skill is designed to collect B2B leads using a specific Apify actor. The Python script (`scripts/apollo_like_leads_actor.py`) correctly handles the `APIFY_TOKEN` via environment variables or CLI arguments, avoiding hardcoding. It interacts solely with the legitimate Apify API endpoint for the stated actor. The `SKILL.md` and other documentation provide clear, benign instructions for the AI agent, without any evidence of prompt injection attempts, data exfiltration beyond its stated purpose, malicious execution, or persistence mechanisms. The skill also explicitly states 'No external dependencies required' in `requirements.txt`, reducing supply chain risks.
能力评估
Purpose & Capability
Name/description (run Apify actor LurATYM4hkEo78GVj for B2B leads) matches what the repository and SKILL.md request: a single APIFY_TOKEN and a Python runner that posts to the Apify API.
Instruction Scope
SKILL.md instructs building payloads, running the included script, and handling JSON/CSV outputs. Instructions and script only reference input JSON/files, the APIFY_TOKEN, and Apify API endpoints — no unrelated file reads or external endpoints.
Install Mechanism
There is no install spec (instruction-only skill). The repo includes a Python script (no external dependencies per requirements.txt) which is normal for this workflow. The script performs only standard HTTP calls to api.apify.com.
Credentials
The skill only requires APIFY_TOKEN, which is appropriate. Minor metadata inconsistency: registry metadata listed no primary credential while SKILL.md marks APIFY_TOKEN as the primary credential; functionally the script uses APIFY_TOKEN correctly.
Persistence & Privilege
The skill does not request always:true or other elevated persistence and does not modify other skills or system-wide settings. It can be invoked autonomously (platform default), which is expected for skills.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install apollo-like-leads-apify
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /apollo-like-leads-apify 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Apollo-like B2B leads scraper skill for Apify actor LurATYM4hkEo78GVj with validated payload flow.
元数据
Slug apollo-like-leads-apify
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Apollo Like Leads Apify 是什么?

Use this skill when the user needs B2B lead collection via Apify actor LurATYM4hkEo78GVj (Apollo-like), including filter-based payload building, validated ru... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 342 次。

如何安装 Apollo Like Leads Apify?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install apollo-like-leads-apify」即可一键安装,无需额外配置。

Apollo Like Leads Apify 是免费的吗?

是的,Apollo Like Leads Apify 完全免费(开源免费),可自由下载、安装和使用。

Apollo Like Leads Apify 支持哪些平台?

Apollo Like Leads Apify 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Apollo Like Leads Apify?

由 hundevmode(@hundevmode)开发并维护,当前版本 v1.0.0。

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