# Apollo Alternative — B2B Firmographics & Executive Email Finder (`meanusarcanus/b2b-lead-intelligence-api`) Actor
Enrich any company domain with employee headcount tiers, ARR estimates, tech stack adoption, and verified C-Level executive emails (CEO, CTO, VP Sales). Built for AI SDRs & sales teams!
- **URL**: https://apify.com/meanusarcanus/b2b-lead-intelligence-api.md
- **Developed by:** [Meanus Arcanus](https://apify.com/meanusarcanus) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.99 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## 💼 B2B Company & Decision-Maker Lead Intelligence MCP Pro (Apollo / Proxycurl Alternative)
[](https://modelcontextprotocol.io/)
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT)
[](https://glama.ai/mcp/servers)
An enterprise-grade **Model Context Protocol (MCP) Server** and live B2B firmographics engine that equips **Claude Desktop, Cursor IDE, LangChain, and AI SDR sales agents** with real-time company intelligence, executive contact emails, and hiring growth signals.
***
### ⚡ Overview
**B2B Lead Intelligence Pro** is a high-speed, cost-efficient alternative to Apollo, ZoomInfo, and Proxycurl. It enriches any domain with employee headcount tiers, estimated ARR ranges, technology adoption stacks, verified C-level executive contact emails, and active hiring growth signals.
- 🏢 **Deep Firmographics & Tech Stack**: Extracts headcount tiers (`1-10`, `11-50`, `51-200`, `201-500`, `500+`), ARR estimates, and technology adoption (Cloud, AI/ML, CRM, Databases).
- 👤 **Executive Decision-Maker Discovery**: Discovers Founders, CEOs, CTOs, VP of Engineering, and Head of Sales with verified corporate emails and confidence scores.
- 📈 **Hiring Signals & Growth Intent**: Detects active job openings and department expansion trends.
- 🔌 **Zero-Config MCP Integration**: Plug-and-play with Claude Desktop, Cursor, and Antigravity agents.
***
### 🛠️ MCP Tools & Capabilities
The server exposes the following Model Context Protocol (MCP) tools:
| Tool Name | Parameters | Description |
| :--- | :--- | :--- |
| **`enrich_company_domain`** | `domain` *(string, required)* | Enriches any company domain with deep firmographics, headcount tier, ARR estimate, headquarters, and tech stack tags. |
| **`find_decision_makers`** | `domain` *(string, required)*, `department` *(string)*, `limit` *(int)* | Discovers executive decision-makers (C-Level, VP Engineering, VP Sales) with verified corporate emails and LinkedIn profiles. |
| **`track_hiring_growth`** | `domain` *(string, required)* | Extracts active job openings, department expansion surges, and buying intent signals. |
***
### 🔌 Quickstart: Connect to Claude Desktop & Cursor
#### 1. Claude Desktop Configuration
Add this server to your `claude_desktop_config.json`:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **Linux**: `~/.config/Claude/claude_desktop_config.json`
```json
{
"mcpServers": {
"b2b-lead-intelligence": {
"command": "python3",
"args": [
"/path/to/b2b-lead-intelligence-api/mcp_server.py"
]
}
}
}
```
#### 2. Cursor IDE Configuration (`.cursor/mcp.json`)
```json
{
"mcpServers": {
"b2b-lead-intelligence": {
"command": "python3",
"args": ["/path/to/b2b-lead-intelligence-api/mcp_server.py"]
}
}
}
```
***
### 📦 Python SDK & CLI Usage
```bash
pip install b2b-lead-intelligence
```
```python
from b2b_lead_intelligence import enrich_company, find_executives, get_hiring_signals
## 1. Company Firmographics & Tech Stack
company = enrich_company("stripe.com")
print(f"Company: {company['company_name']} | Headcount: {company['firmographics']['headcount_tier']}")
print(f"Tech Stack: {company['tech_stack']['technologies']}")
## 2. Executive Decision-Maker Leads
leads = find_executives("stripe.com", department="Engineering", limit=3)
for exec in leads["decision_makers"]:
print(f"{exec['name']} ({exec['title']}) -> {exec['email']} [Confidence: {exec['email_confidence']}%]")
```
***
### 🌐 Serverless REST API Endpoints
| Method | Endpoint | Description |
| :--- | :--- | :--- |
| `POST` | `/api/v1/enrich-company` | Deep company firmographics, ARR tier, headcount, and tech stack. |
| `POST` | `/api/v1/find-executives` | Executive decision-maker contact extraction with verified corporate emails. |
| `POST` | `/api/v1/hiring-signals` | Department growth indicators and active job openings. |
| `GET` | `/api/v1/health` | Service health status and supported capabilities. |
***
### 📄 License
MIT License. Created by Meanus Arcanus.
# Actor input Schema
## `company_domains` (type: `array`):
List of company domains (e.g. stripe.com, linear.app, supabase.com) to enrich with firmographics and executive leads.
## `extract_decision_makers` (type: `boolean`):
Extract C-Level executives, VP of Engineering, VP of Sales, and verified contact emails.
## `max_leads_per_company` (type: `integer`):
Number of executive contacts to extract per company domain (1 to 10).
## Actor input object example
```json
{
"company_domains": [
"stripe.com",
"linear.app",
"supabase.com"
],
"extract_decision_makers": true,
"max_leads_per_company": 5
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"company_domains": [
"stripe.com",
"linear.app",
"supabase.com"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("meanusarcanus/b2b-lead-intelligence-api").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "company_domains": [
"stripe.com",
"linear.app",
"supabase.com",
] }
# Run the Actor and wait for it to finish
run = client.actor("meanusarcanus/b2b-lead-intelligence-api").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"company_domains": [
"stripe.com",
"linear.app",
"supabase.com"
]
}' |
apify call meanusarcanus/b2b-lead-intelligence-api --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,meanusarcanus/b2b-lead-intelligence-api"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/QVSgYDApx9heauMbp/builds/mapCrt1jPDAYpfFwi/openapi.json