Home › Skills › Apollo.io Enrichment
Research & Knowledge

Apollo.io Enrichment skill for OpenClaw

⬇ 3.2K downloads ★ 2 stars Version 1.3.0 Rank #3229 of 10,000+

What this skill does

Apollo.io contact and company enrichment API. Enrich people with email, phone, title, company data. Enrich organizations with industry, revenue, employee count, funding. Search for prospects. Use when the user needs to enrich contacts, find emails, lookup company info, or search for leads.

The Apollo.io Enrichment skill is part of the Research & Knowledge category — research and knowledge skills that gather, search, and summarize information. You can install it on its own or alongside other research & knowledge skills from the OpenClaw catalog.

The Apollo.io Enrichment skill is ranked #3229 by downloads in the OpenClaw skill catalog (3.2K total downloads, 2 stars). It belongs to the Research & Knowledge category alongside 1884 other top-10000 skills.

How to install the Apollo.io Enrichment skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for apollo-enrichment and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Apollo.io Enrichment skill with a single command:

openclaw skills add apollo-enrichment

This pulls apollo-enrichment from ClawHub and installs it into ~/.openclaw/skills/apollo-enrichment/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Apollo.io Enrichment skill

Once installed, the Apollo.io Enrichment skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab apollo-enrichment-1.3.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/apollo-enrichment/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Apollo.io Enrichment?

Install Apollo.io Enrichment in the OpenClaw Easy desktop app by opening the Skills panel, searching for apollo-enrichment, and clicking Install. From a terminal you can run: openclaw skills add apollo-enrichment. Either way the skill is placed in ~/.openclaw/skills/apollo-enrichment/.

Is the Apollo.io Enrichment skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Apollo.io Enrichment do?

Apollo.io contact and company enrichment API. Enrich people with email, phone, title, company data. Enrich organizations with industry, revenue, employee count, funding. Search for prospects. Use when the user needs to enrich contacts, find emails, lookup company info, or search for leads.

Related: more research & knowledge skills

If the Apollo.io Enrichment skill looks useful, you may also want to check out other research & knowledge skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models