# LATAM Business Directory Scraper (`jotive/latam-business-directory`) Actor

Extract business listings from Google Maps for Latin American cities. Returns name, address, phone, hours, rating, website, and WhatsApp link.

- **URL**: https://apify.com/jotive/latam-business-directory.md
- **Developed by:** [Jose Eduardo Tirado Verbel](https://apify.com/jotive) (community)
- **Categories:** Lead generation, Automation, Real estate
- **Stats:** 9 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/platform/actors/running/actors-in-store#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

## LATAM Business Directory Scraper

A **Google Maps scraper** for Latin American markets. Extract business listings for any city in Colombia, México, Argentina, Chile, Perú, Ecuador, Venezuela, and Uruguay. Built for B2B prospecting, lead generation, and local market research.

Returns structured data including phone numbers in E.164 format and ready-to-use WhatsApp deep links.

### What you get

| Field | Example |
|---|---|
| `name` | Mar y Fuego- Medellín |
| `category` | Restaurante argentino |
| `rating` | 4.7 |
| `address` | Cra. 37 #10b-4, El Poblado, Medellín, Antioquia |
| `phone_raw` | +57 304 6160176 |
| `phone_normalized` | +573046160176 |
| `whatsapp_link` | https://wa.me/573046160176 |
| `website` | https://maryyfuego.com |
| `hours_status` | Abierto · Cierra a las 10:30 p.m. |
| `maps_url` | https://www.google.com/maps/place/... |
| `country` | CO |
| `city` | Medellin |
| `search_query` | restaurante |

### Supported countries

| Code | Country |
|---|---|
| CO | Colombia |
| MX | Mexico |
| AR | Argentina |
| CL | Chile |
| PE | Peru |
| EC | Ecuador |
| VE | Venezuela |
| UY | Uruguay |

### Input

```json
{
  "searchQuery": "ferreteria",
  "city": "Bogota",
  "country": "CO",
  "maxResults": 200,
  "language": "es"
}
```

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `searchQuery` | string | yes | — | Business type or keyword (e.g. "restaurante", "dentista", "ferreteria") |
| `city` | string | yes | — | City name (e.g. "Medellin", "Ciudad de Mexico") |
| `country` | string | no | `CO` | Country code — CO, MX, AR, CL, PE, EC, VE, UY |
| `maxResults` | integer | no | `100` | Max businesses to extract (1–500) |
| `language` | string | no | `es` | Interface language — `es` or `pt` |

### Use cases

- **B2B sales prospecting** — build targeted lead lists by industry and city across LATAM
- **Marketing agency outreach** — find local businesses without websites or weak online presence
- **WhatsApp campaigns** — ready-to-use wa.me links for direct outreach
- **Competitive research** — map all players in a niche per city
- **Local business audits** — identify missing phones, ratings, hours
- **Data journalism** — directory snapshots for reporting

### Pricing

Pay-per-event (PPE). Each business extracted = 1 event at **$0.002/result**. 100 businesses = $0.20. You only pay for results.

### Notes

- Extracts from Google Maps public search results
- Phone numbers normalized to E.164 international format
- Duplicate businesses are automatically skipped
- Rate limited to avoid blocks — ~2–5 businesses/second

# Actor input Schema

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

Business type or category to search (e.g. 'restaurante', 'ferreteria', 'consultorio dental')

## `city` (type: `string`):

City name (e.g. 'Bogota', 'Medellin', 'Ciudad de Mexico', 'Buenos Aires')

## `country` (type: `string`):

Country code: CO, MX, AR, CL, PE, EC, VE, UY

## `maxResults` (type: `integer`):

Maximum number of businesses to extract (default 100, max 500)

## `language` (type: `string`):

Language for Google Maps results

## Actor input object example

```json
{
  "searchQuery": "restaurante",
  "city": "Bogota",
  "country": "CO",
  "maxResults": 5,
  "language": "es"
}
```

# 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("jotive/latam-business-directory").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("jotive/latam-business-directory").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 jotive/latam-business-directory --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jotive/latam-business-directory",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jjwndsZRBIteWcJYm/builds/59gtv9cqv3THZeaJt/openapi.json