apollo-like-leads-apify
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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/hundevmode/apollo-like-leads-apifyApollo-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_TOKENenv 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:
okactorIdleadsCountinputUsedrows[]
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_resultsrealistic 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: trueexplicitly. - Seniority values should match actor enum (
owner,cxo,vp,director, etc.); this script auto-normalizes common Apollo values likefounder -> owner.
References
references/actor-input-guide.mdreferences/troubleshooting.md
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-hundevmode-apollo-like-leads-apify": {
"enabled": true,
"auto_update": true
}
}
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