Apollo-like B2B Leads (Apify) for Openclaw

Automate B2B lead generation using an Apollo-style Apify actor to find verified contacts based on specific ICP filters.

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v1.0.0
Feb 28, 2026
0
957
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install apollo-like-leads-apify

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install apollo-like-leads-apify using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Apollo-like B2B Leads (Apify)?

This skill leverages the power of the Apify actor LurATYM4hkEo78GVj to scrape and collect high-quality B2B leads similar to the workflows found on Apollo.io. It enables developers and growth hackers to programmatically fetch contacts using advanced filters such as job title, industry, company size, and geographic location. By integrating this capability into Openclaw Skills, users can bridge the gap between lead discovery and automated outreach pipelines with ease.

Apollo-like B2B Leads (Apify) Use Cases

  • Scraping verified B2B email addresses for targeted outbound sales campaigns.
  • Generating lists of startup founders or C-suite executives filtered by location and industry.
  • Automating lead data enrichment for marketing automation workflows and CRM population.
  • Running repeatable B2B contact searches via CLI or API for consistent pipeline growth.

How Apollo-like B2B Leads (Apify) Works

  1. Confirm the target ICP by defining job titles, seniority levels, locations, and company size.
  2. Construct a validated JSON payload that specifies the desired lead count and enrichment settings (e.g., verified emails only).
  3. Execute the collection process via the apollo_like_leads_actor.py script, which handles the Apify API interaction.
  4. Validate the returned lead count and inspect sample data rows for accuracy.
  5. Export the structured lead data directly to external platforms such as n8n, Google Sheets, or CSV files.

Apollo-like B2B Leads (Apify) Setup

First, you must obtain an API token from your Apify account. Set this as an environment variable to allow the script to authenticate securely:

export APIFY_TOKEN='your_apify_api_token_here'

You can then run the automation script using either a preset or a custom configuration:

# Run a preset for 50 US founders
python3 scripts/apollo_like_leads_actor.py quick-founders-us-50

Apollo-like B2B Leads (Apify) Data Schema & Taxonomy

The skill returns a structured JSON object designed for easy mapping into databases or outreach tools. Key fields include:

Field Description
ok Boolean status of the actor execution.
actorId The unique identifier for the specific Apify run.
leadsCount The total number of lead records retrieved.
inputUsed The configuration object used to trigger the search.
rows An array of individual lead records containing emails, names, and company data.

Apollo-like B2B Leads (Apify) Advanced Features

  • Auto-normalization of search terms, such as mapping 'founder' to the specific 'owner' seniority enum required by the actor.
  • Support for high-volume lead extraction by adjusting max_results and filter complexity.
  • Secure token handling that prevents API keys from being hardcoded in workflow templates.
  • Direct integration support for Openclaw Skills users to pipe lead data into n8n HTTP or Code nodes.

SKILL.md


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