Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
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 ru...
skill openclawclawhub Free
Use this skill when the user needs B2B lead collection via Apify actor LurATYM4hkEo78GVj (Apollo-like), including filter-based payload building, validated ru...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, agents/openai.yaml, references/actor-input-guide.md, references/sample_input.json, references/troubleshooting.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- hundevmode
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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"]}'
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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Config
- SKILL.md
- README.md
- references/actor-input-guide.md
- references/troubleshooting.md
- agents/openai.yaml
- references/sample_input.json