Apollo Enrichment for Openclaw

A powerful data enrichment skill for identifying prospects and fetching deep company intelligence via the Apollo.io API.

capt-marbles
v1.3.0
Jan 28, 2026
2
3.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install apollo-enrichment

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-enrichment 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 Enrichment?

The Apollo Enrichment skill provides a direct interface between your AI agent and the Apollo.io B2B database. It allows for the seamless retrieval of verified contact information, including professional emails and direct phone numbers, alongside comprehensive organizational data such as revenue, funding history, and technology stacks. As a part of the Openclaw Skills ecosystem, it enables developers to automate the most tedious parts of sales prospecting and market research.

By leveraging this skill, you can transform a simple email address or company domain into a rich profile filled with actionable insights. Whether you are building an automated outreach bot or a competitive analysis tool, this skill provides the high-fidelity data needed to drive successful B2B interactions.

Apollo Enrichment Use Cases

  • Automating the enrichment of cold lead lists with verified work and personal email addresses.
  • Performing deep company research to identify high-growth targets based on funding and revenue data.
  • Searching for specific decision-makers (e.g., CTOs or VPs of Sales) within targeted geographic regions or domains.
  • Cleaning existing CRM data by performing bulk enrichment on stale contact records.

How Apollo Enrichment Works

  1. The skill receives a command or prompt specifying a person to enrich, a company to research, or search criteria.
  2. It authenticates with the Apollo.io API using a secure environment-hosted API key.
  3. The bundled python script processes the request, applying any specific filters such as competitor exclusion or contact reveal flags.
  4. Structured data is returned to the agent, providing a detailed breakdown of the person or company profile.
  5. The AI agent can then use this data for further tasks, such as personalized drafting or database updates.

Apollo Enrichment Setup

To use this within your Openclaw Skills workflow, follow these steps:

  1. Generate an API key from your Apollo Settings.
  2. Configure your environment by setting the API key variable:
export APOLLO_API_KEY=your-api-key-here
  1. Ensure Python 3 is installed to execute the internal apollo.py logic.

Apollo Enrichment Data Schema & Taxonomy

The skill returns structured data categorized by Person or Company:

Entity Data Points Collected
Person Name, Title, Work/Personal Email, Direct/Mobile Phone, LinkedIn URL, Location
Company Domain, Industry, Revenue, Employee Count, Funding Rounds, Investors, Technologies Used
Metadata Credit usage statistics and result limits

Apollo Enrichment Advanced Features

  • Bulk Enrichment: Process up to 10 contacts in a single batch via JSON file input.
  • Competitor Filtering: Use the -x flag to automatically exclude employees from specific predefined competitor domains.
  • Targeted Search: Filter prospects by multiple titles, specific domains, or geographic locations with custom limit controls.
  • Data Reveal Logic: Explicitly toggle the 'reveal' functionality to spend credits only when personal email or phone data is required.

SKILL.md


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