What does Google Dataset Items Translator do?

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translate the selected fields, with it you can:

• Translate single or multiple fields in a dataset.
• Can replace the original field with the translated field, or add a new field with the translated text inside a new object translation. Here's an input example in JSON:

1{
2    "sourceLanguage": "en",
3    "targetLanguage": "es",
4    "datasetId": "mTzNzHg9dL0YioVR0",
5    "pathsToFields": ["description"],
6    "includeItemsTranslationInfo": false,
7    "replaceFiledValues": false
8}

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

1{
2    // sourceItemFields...
3    "description": "Ranch condo with two bedroom and two bathrooms on the main level.",
4    "translation": {
5        "description": "Condo rancho con dos habitaciones y dos baños en el nivel principal."
6    }
7}

Limitations

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

Integrations and Google Dataset Items Translator

Last but not least, Google Dataset Items 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 Dataset Items Translator successfully finishes a run.

Using Google Dataset Items 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.