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What does Google Translator do?

This Actor can translate any one or more texts (max 5000 chars each) using Google Translate website, you can:

• Translate a single.
• Translate a list of texts.
• Translate a list of texts, each with it's own translation options

Here's input example in JSON:

{
"text":"I want to translate this text",
"textList":["I want to translate a single text or a list of texts"],
"sourceLanguage":"en",
"targetLanguage":"es",
"translationsList":[
{
"text":"I want to translate a single text or a list of texts, each with it's own translation options",
"sourceLanguage":"en",
"targetLanguage":"fr"
}
]
}

For the full list of optional parameters, their default values, and how to set the values of your own, see the Input Schema tab.

Google Translator data output

The output for the translation is stored in the dataset. After the run is finished, you can download the dataset in various data formats (JSON, CSV, XML, RSS, HTML Table).

Output example

{
"originalText":"I want to translate this text",
"sourceLanguage":"English",
"targetLanguage":"Spanish",
"translatedText":"Quiero traducir este texto a",
"autoDetected":false
}

Limitations

• Each input text must have a maximum length of 5000 characters.

Integrations and Google Translator

Last but not least, Google Translator can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Google Translator successfully finishes a run.

Using Google Translator with the Apify API

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for code examples.