# Name Analysis Scraper - Gender, Age & Nationality (`lulzasaur/genderize-scraper`) Actor

Predict gender, age, and nationality from names. Batch process up to 1000 names using Genderize, Agify, and Nationalize APIs. No API key needed.

- **URL**: https://apify.com/lulzasaur/genderize-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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?

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

## Name Analysis Scraper - Gender, Age & Nationality

Predict gender, age, and nationality from names. Batch process up to 1000 names using Genderize, Agify, and Nationalize APIs. No API key needed.

### Features

- **Gender Prediction**: Predict gender with probability score using Genderize.io
- **Age Prediction**: Estimate age for any name using Agify.io
- **Nationality Prediction**: Get top nationality predictions using Nationalize.io
- **Batch Processing**: Process up to 10 names per API call for efficiency
- **All 3 APIs Combined**: Single run returns gender + age + nationality for each name
- **No API Key**: Uses free tiers of all three APIs

### Output Fields

| Field | Description |
|-------|-------------|
| `name` | The input name |
| `gender` | Predicted gender (male/female) |
| `genderProbability` | Confidence score 0-1 |
| `genderCount` | Number of data points used |
| `age` | Predicted age |
| `ageCount` | Number of data points used |
| `nationalities` | Array of {countryId, probability} predictions |
| `topNationality` | Most likely country code (ISO 3166-1 alpha-2) |
| `topNationalityProbability` | Confidence for top nationality |
| `scrapedAt` | ISO timestamp |

### Input Options

- **Names**: List of names to analyze (e.g. "John", "Maria", "Wei")
- **Max Results**: Limit how many names to process (0 = all)

### Use Cases

- **Marketing**: Segment mailing lists by predicted gender for personalized campaigns
- **Demographics**: Analyze the gender/nationality distribution of user bases
- **Data enrichment**: Add demographic predictions to CRM or customer databases
- **Academic research**: Study name-based demographic patterns
- **Localization**: Predict likely nationalities for content targeting
- **HR analytics**: Analyze diversity metrics from name data

### Example Output

```json
{
  "name": "Maria",
  "gender": "female",
  "genderProbability": 0.98,
  "genderCount": 652431,
  "age": 58,
  "ageCount": 417346,
  "nationalities": [
    { "countryId": "PT", "probability": 0.08 },
    { "countryId": "BR", "probability": 0.07 },
    { "countryId": "ES", "probability": 0.06 }
  ],
  "topNationality": "PT",
  "topNationalityProbability": 0.08,
  "scrapedAt": "2026-04-26T12:00:00.000Z"
}
```

### Rate Limits

The free tiers have daily rate limits:

- Genderize.io: 100 requests/day (10 names/request = 1000 names/day)
- Agify.io: 100 requests/day
- Nationalize.io: 100 requests/day

For larger volumes, the scraper automatically batches names (10 per request) to maximize throughput within rate limits.

### Data Sources

- [Genderize.io](https://genderize.io/) — Gender prediction from names
- [Agify.io](https://agify.io/) — Age prediction from names
- [Nationalize.io](https://nationalize.io/) — Nationality prediction from names

***

### Run on Apify

This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features.

[Try Apify free ->](https://apify.com/?fpr=lulzasaur)

# Actor input Schema

## `names` (type: `array`):

List of names to analyze (e.g. 'John', 'Maria', 'Wei'). Up to 1000 names per run.

## `limit` (type: `integer`):

Maximum number of names to process. 0 = all provided names.

## `proxyConfiguration` (type: `object`):

Optional proxy to use.

## Actor input object example

```json
{
  "names": [
    "John",
    "Maria",
    "Wei",
    "Fatima",
    "Carlos"
  ],
  "limit": 0
}
```

# 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("lulzasaur/genderize-scraper").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("lulzasaur/genderize-scraper").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 lulzasaur/genderize-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/genderize-scraper"
        }
    }
}

```

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/hpQx4WYd4SMtEpscc/builds/dfznyFXSQlajmuas9/openapi.json