apollo-like-leads-apify

# Apollo-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_TOKEN` env or `--apify-token`).
- Return normalized summary and raw lead rows.
- Support quick preset runs and custom JSON input.

## Step-by-step workflow

1. Confirm target ICP (titles, seniority, location, company size, industries).
2. Build payload with required lead count and enrichment switches.
3. Run actor using `scripts/apollo_like_leads_actor.py`.
4. Validate lead count and inspect sample rows.
5. Export rows to n8n/Sheets/CSV as needed.

## Authentication

Preferred:

```bash
export APIFY_TOKEN='apify_api_xxx'
```

Alternative:

```bash
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)

```bash
APIFY_TOKEN='apify_api_xxx' \
python3 scripts/apollo_like_leads_actor.py quick-founders-us-50
```

### 2) Custom run from inline JSON

```bash
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_ph...

# Apollo-like B2B Leads Scraper Skill for OpenClaw (Apify Actor)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)
[![Apify Actor](https://img.shields.io/badge/Apify-LurATYM4hkEo78GVj-ff6b00)](https://console.apify.com/actors/LurATYM4hkEo78GVj/source)
[![Skill Type](https://img.shields.io/badge/OpenClaw-Skill-111827)](./SKILL.md)

This repository provides a production-ready **OpenClaw skill** for running an **Apollo-like B2B leads scraper** through Apify actor [`LurATYM4hkEo78GVj`](https://console.apify.com/actors/LurATYM4hkEo78GVj/source).

If you are looking for an **Apollo alternative**, **B2B contact scraper**, **lead generation automation**, or **Apify sales prospecting workflow**, this skill is built for that use case.

## Why this skill

Most teams lose time on the same problems:
- manually crafting payloads for each target ICP
- inconsistent filtering for titles, seniority, geo, and company size
- weak credential handling inside scripts and workflows
- non-standard outputs that are hard to move into n8n or Google Sheets

This skill solves that with:
- validated payload execution against a real Apify actor
- secure auth using `APIFY_TOKEN` (env var or CLI)
- reusable presets (including **50 US founders**)
- JSON output ready for n8n, Sheets, and CRM pipelines

## Actor and stack

- Apify actor: [`LurATYM4hkEo78GVj`](https://console.apify.com/actors/LurATYM4hkEo78GVj/source)
- Runtime: Python 3.10+
- Auth: `APIFY_TOKEN`
- Use case: B2B lead scraping, outbound list building, Apollo-style prospecting

## Quick start

### 1) Set token

```bash
export APIFY_TOKEN='apify_api_xxx'
```

### 2) Run preset: 50 US founders

```bash
python3 scripts/apollo_like_leads_actor.py quick-founders-us-50
```

### 3) Run custom payload from file

```bash
python3 scripts/apollo_like_leads_actor.py run --input-file references/sample_input.json
```

### 4) Run custom payload inline

```bash
python3 scripts/apollo_like_leads_actor.py run --input-json '...