Trello to S3

This page provides you with instructions on how to extract data from Trello and load it into Amazon S3. (If this manual process sounds onerous, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)

What is Trello?

Trello is a collaboration tool that organizes projects into boards, each of which can be filled with lists of notes that outline tasks for a team, complete with photos, documents, and other attachments. It includes tools to comment and collaborate among teammates. You can use it as a web-based project management application.

What is S3?

Amazon S3 (Simple Storage Service) provides cloud-based object storage through a web service interface. You can use S3 to store and retrieve any amount of data, at any time, from anywhere on the web. S3 objects, which may be structured in any way, are stored in resources called buckets.

Getting data out of Trello

To claim your data from Trello, you can extract it from Trello's servers using the Trello API, a REST API that exposes endpoints that provide information on boards, lists, cards, and actions. For instance, to get data about a list, you might run /lists/[id].

Sample Trello data

The Trello API returns JSON-formatted data. Here's an example of the kind of response you might see when querying for the details of a list.

[{
    "id": "4efe314cc72846af4e00008a",
    "data": {
        "list": {
            "id": "4eea4ffc91e31d174600004a",
            "name": "To Do Soon"
        },
        "board": {
            "id": "4eea4ffc91e31d1746000046",
            "name": "Example Board"
        },
        "old": {
            "name": "To Do Later"
        }
    },
    "date": "2017-12-30T21:46:52.874Z",
    "idMemberCreator": "4ee7deffe582acdec80000ac",
    "type": "updateList",
    "memberCreator": {
        "id": "4ee7deffe582acdec80000ac",
        "avatarHash": null,
        "fullName": "Joe Tester",
        "initials": "JT",
        "username": "joetester"
    }
}, {
    "id": "4efe3147c72846af4e00006d",
    "data": {
        "list": {
            "id": "4eea4ffc91e31d174600004a",
            "name": "To Do Later"
        },
        "board": {
            "id": "4eea4ffc91e31d1746000046",
            "name": "Example Board"
        },
        "old": {
            "name": "To Do Eventually"
        }
    },
    "date": "2017-12-30T21:46:47.843Z",
    "idMemberCreator": "4ee7deffe582acdec80000ac",
    "type": "updateList",
    "memberCreator": {
        "id": "4ee7deffe582acdec80000ac",
        "avatarHash": null,
        "fullName": "Joe Tester",
        "initials": "JT",
        "username": "joetester"
    }
}]

Preparing Trello data

This part can get tricky: You need to parse the JSON in the API response and map each field to a corresponding table in the destination database. You'll need a solid handle on the datatypes for each endpoint. The Stitch Trello Docs can give you a sense of what datatypes will come through the API.

Loading data into Amazon S3

To upload files you must first create an S3 bucket. Once you have a bucket you can add an object to it. An object can be any kind of file: a text file, data file, photo, or anything else. You can optionally compress or encrypt the files before you load them.

Keeping Trello data up to date

At this point you've coded up a script or written a program to get the data you want and successfully moved it into your data warehouse. But how will you load new or updated data? It's not a good idea to replicate all of your data each time you have updated records. That process would be painfully slow and resource-intensive.

Instead, identify key fields that your script can use to bookmark its progression through the data and use to pick up where it left off as it looks for updated data. Auto-incrementing fields such as updated_at or created_at work best for this. When you've built in this functionality, you can set up your script as a cron job or continuous loop to get new data as it appears in Trello.

And remember, as with any code, once you write it, you have to maintain it. If Trello modifies its API, or the API sends a field with a datatype your code doesn't recognize, you may have to modify the script. If your users want slightly different information, you definitely will have to.

Other data warehouse options

S3 is great, but sometimes you want a more structured repository that can serve as a basis for BI reports and data analytics — in short, a data warehouse. Some folks choose to go with Amazon Redshift, Google BigQuery, PostgreSQL, Snowflake, Microsoft Azure SQL Data Warehouse, or Panoply, which are RDBMSes that use similar SQL syntax. If you're interested in seeing the relevant steps for loading data into one of these platforms, check out To Redshift, To BigQuery, To Postgres, To Snowflake, To Azure SQL Data Warehouse, and To Panoply.

Easier and faster alternatives

If all this sounds a bit overwhelming, don’t be alarmed. If you have all the skills necessary to go through this process, chances are building and maintaining a script like this isn’t a very high-leverage use of your time.

Thankfully, products like Stitch were built to move data from Trello to Amazon S3 automatically. With just a few clicks, Stitch starts extracting your Trello data via the API, structuring it in a way that is optimized for analysis, and inserting that data into your Amazon S3 data warehouse.