# Meu Repo Leads Finder (`ongoing_marshland/meu-repo-leads-finder`) Actor

- **URL**: https://apify.com/ongoing_marshland/meu-repo-leads-finder.md
- **Developed by:** [Ricardo Querido](https://apify.com/ongoing_marshland) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🏢 B2B Leads Finder & Contact Extractor

A high-speed, asynchronous B2B lead generation tool designed to discover active companies, extract direct business email addresses, capture international phone numbers, and retrieve verified social media profiles in real time.

Unlike static database wrappers that rely on outdated contact lists, this Actor performs **live web prospection** to ensure maximum data freshness and delivery rates\[cite: 9].

***

### 🚀 Key Advantages Over Traditional Tools

- ⚡ **Real-Time Web Scraping:** Scrapes live websites directly, avoiding outdated or invalid email databases\[cite: 9].
- 🤖 **AI & LLM Ready:** Outputs token-optimized JSON with English keys and AI metadata flags (`has_email`, `contact_readiness`).
- ⏱️ **Ultra-Fast Performance:** Built with asynchronous Python (`httpx` + `asyncio`) to deliver hundreds of results in seconds\[cite: 9].
- 💰 **Fixed & Transparent Pricing:** $1.00 USD per 1,000 results for **all Apify plan tiers**, with no inflated fees for Free or Starter accounts\[cite: 4, 9].
- 🌐 **Global Phone Capture:** Universal regex support for capturing local and international phone formats (+351, +420, +1, +44, etc.).
- 📱 **Social Media Detection:** Automatically retrieves official company links for LinkedIn, Facebook, Instagram, Twitter/X, and WhatsApp.

***

### 🤖 AI & LLM Integration (MCP & LangChain Ready)

This Actor is optimized for **Function Calling**, **MCP (Model Context Protocol)**, and **AI Agents** (LangChain, LlamaIndex, CrewAI).

It outputs token-optimized JSON structured in English and includes readiness flags so your AI SDRs or workflows can automatically filter high-quality outreach leads.

#### LangChain Integration Example

````python
from langchain_community.tools import ApifyActorTool

b2b_leads_tool = ApifyActorTool(
    name="b2b-leads-finder",
    description="Finds active B2B companies with direct email addresses, phone numbers, and social links.",
    actor_id="ongoing_marshland/b2b-leads-finder",
)



# Actor input Schema

## `searchQuery` (type: `string`):

Exemplo: Oficinas Auto em Leiria
## `maxItems` (type: `integer`):

Quantidade de empresas a extrair

## Actor input object example

```json
{
  "searchQuery": "Oficinas Auto em Leiria",
  "maxItems": 10
}
````

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing extracted B2B contacts.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("ongoing_marshland/meu-repo-leads-finder").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("ongoing_marshland/meu-repo-leads-finder").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 '{}' |
apify call ongoing_marshland/meu-repo-leads-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ongoing_marshland/meu-repo-leads-finder"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/uofuC6eE36qdX3vaT/builds/L7YYQ3gkZuhEGXKIv/openapi.json