# Google Translate — Free Unlimited Text Translation (`maged120/google-translate-scraper`) Actor

Translate text between any of 100+ languages using Google Translate. Batch translate multiple texts in one run without an API key, Google Cloud account, or billing.

- **URL**: https://apify.com/maged120/google-translate-scraper.md
- **Developed by:** [Maged](https://apify.com/maged120) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 246 total users, 10 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Google Translate Apify Actor

This Apify Actor translates batches of text using Google Translate via the googletrans library. It supports a wide range of languages and can automatically detect the source language if not specified.

### Features

- **Batch Translate Text**: Translate multiple texts from one language to another in a single request.
- **Auto Language Detection**: Automatically detect the source language if not specified.
- **Efficient Bulk Processing**: Groups translations by language pairs for optimal performance.

### Supported Languages

This actor supports a wide range of languages. See the source code for the full list of supported language codes.

### Input Schema

The input for this actor should be a JSON object with a single property:

- `batch_items`: An array of translation items. Each item should be an object with:
  - `text`: The text to be translated (required)
  - `source_lang`: The source language code (optional, default: 'auto')
  - `target_lang`: The target language code (required)

#### Example Input

```json
{
  "batch_items": [
    { "text": "hello everyone", "source_lang": "en", "target_lang": "es" },
    { "text": "bonjour tout le monde", "source_lang": "fr", "target_lang": "en" }
  ]
}
```

### Output Schema

Each output item will be a JSON object with the following properties:

- `item_index`: The index of the item in the input batch
- `original_text`: The original text provided for translation
- `translated_text`: The translated text
- `source_language`: The detected or specified source language code
- `target_language`: The target language code
- `success`: Whether the translation was successful

#### Example Output

```json
{
  "item_index": 0,
  "original_text": "hello everyone",
  "translated_text": "hola a todos",
  "source_language": "en",
  "target_language": "es",
  "success": true
}
```

# Actor input Schema

## `batch_items` (type: `array`):

Array of translation items.

## Actor input object example

```json
{
  "batch_items": [
    {
      "text": "Hello, how are you?",
      "source_lang": "en",
      "target_lang": "es"
    },
    {
      "text": "Bonjour tout le monde",
      "source_lang": "fr",
      "target_lang": "en"
    },
    {
      "text": "مرحبا بالجميع",
      "source_lang": "ar",
      "target_lang": "de"
    },
    {
      "text": "Guten Morgen",
      "target_lang": "it"
    }
  ]
}
```

# 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 = {
    "batch_items": [
        {
            "text": "Hello, how are you?",
            "source_lang": "en",
            "target_lang": "es"
        },
        {
            "text": "Bonjour tout le monde",
            "source_lang": "fr",
            "target_lang": "en"
        },
        {
            "text": "مرحبا بالجميع",
            "source_lang": "ar",
            "target_lang": "de"
        },
        {
            "text": "Guten Morgen",
            "target_lang": "it"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("maged120/google-translate-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 = { "batch_items": [
        {
            "text": "Hello, how are you?",
            "source_lang": "en",
            "target_lang": "es",
        },
        {
            "text": "Bonjour tout le monde",
            "source_lang": "fr",
            "target_lang": "en",
        },
        {
            "text": "مرحبا بالجميع",
            "source_lang": "ar",
            "target_lang": "de",
        },
        {
            "text": "Guten Morgen",
            "target_lang": "it",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("maged120/google-translate-scraper").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 '{
  "batch_items": [
    {
      "text": "Hello, how are you?",
      "source_lang": "en",
      "target_lang": "es"
    },
    {
      "text": "Bonjour tout le monde",
      "source_lang": "fr",
      "target_lang": "en"
    },
    {
      "text": "مرحبا بالجميع",
      "source_lang": "ar",
      "target_lang": "de"
    },
    {
      "text": "Guten Morgen",
      "target_lang": "it"
    }
  ]
}' |
apify call maged120/google-translate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=maged120/google-translate-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eAca3jGYIH1nOqVFb/builds/GNeMHuYZqXtPsTcwC/openapi.json