TextMagic Data Integration with Redshift

With Portable, integrate TextMagic data with your Redshift warehouse in minutes. Access your text messaging marketing solution data from Redshift without having to manage cumbersome ETL scripts.

The Two Paths to Connect TextMagic to Amazon Redshift

There are two ways to sync data from TextMagic into your data warehouse for analytics.

Method 1: Manually Developing a Custom Data Pipeline Yourself

Write code from scratch or use an open-source framework to build an integration between TextMagic and Redshift.

Method 2: Automating the ETL Process with a No-Code Solution

Leverage a pre-built connector from a cloud-hosted solution like Portable.

How to Create Value with TextMagic Data

Teams connect TextMagic to their data warehouse to build dashboards and generate value for their business. Let’s dig into the capabilities TextMagic exposes via their API, outline insights you can build with the data, and summarize the most common analytics environments that teams are using to process their TextMagic data.

Extract: What Data Can You Extract from the TextMagic API?

TextMagic is a text messaging marketing solution used for sending notifications, alerts, reminders, confirmations, and SMS marketing campaigns.

To help clients power downstream analytics, TextMagic offers an application programming interface (API) for clients to extract data on business entities. Here are a few example entities you can extract from the API:

  • Messaging
  • Contacts
  • Email to SMS
  • Sender Settings
  • Account

You can visit the TextMagic API Documentation to explore the entire catalog of available API resources and the complete schema definition for each.

As you think about the data you will need for analytics, don’t forget that Portable offers no-code integrations to other similar applications.

Regardless of the SaaS solution you use, it’s important to find a text messaging marketing solution with robust data available for analytics.

Load: Which Destinations Are Best for Your TextMagic ETL Pipeline?

To turn raw data from TextMagic into dashboards, most companies centralize information into a data warehouse or data lake. For Portable clients, the most common ETL pipelines are:

  1. TextMagic to Snowflake Integration
  2. TextMagic to Google BigQuery Integration
  3. TextMagic to Amazon Redshift Integration
  4. TextMagic to PostgreSQL Integration
Common Data Warehouses
Common Data Warehouses

Once you have a destination to load the data, it’s common to combine TextMagic data with information from other enterprise applications like Jira, Mailchimp, HubSpot, Zendesk, and Klaviyo.

From there, you can build cross-functional dashboards in a visualization tool like Power BI, Tableau, Looker, or Retool.

Develop: Which Dashboards Should You Build with TextMagic Data?

Now that you have identified the data you want to extract, the next step is to plan out the dashboards you can build with the data.

As a process, you want to consume raw data, overlay SQL logic, and build a dashboard to either 1) increase revenue or 2) decrease costs.

Replicating TextMagic data into your cloud data warehouse can unlock a wide array of opportunities to power analytics, automate workflows, and develop products. The use cases are endless.

Now that we have a clear sense of the insights we can create, let’s compare the process of developing a custom TextMagic integration with the benefits of using a no-code ETL solution like Portable.

Method 1: Building a Custom TextMagic ETL Pipeline

To build your own TextMagic integration, there are three steps:

  1. Navigate the TextMagic API documentation
  2. Make your first API request
  3. Turn an API request into a complete data pipeline

Let’s walk through the process in more detail.

How to Interpret TextMagic’s API Documentation

When reading API documentation, there are a handful of key concepts to consider.


There are many common authentication mechanisms. OAuth 2.0 (Auth Code and Client Credentials), API Keys, JWT Tokens, Personal Access Tokens, Basic Authentication, etc. For TextMagic, it’s important to identify the authentication mechanism and how best to incorporate the necessary credentials into your API requests.

To start sending text messages, you need to create an API key.

Your program sends the login credentials with each API request as HTTP headers: X-TM-Username is your TextMagic username, while X-TM-Key is your API key.

Another way is to send credentials using BasicAuth method.

Log in to TextMagic (or start a free trial if you havent registered yet).

Go to the API settings page.

Click the Add new API key button.

Enter an app name for this key. Note, its just a label, so pick any name.

Click Generate new key.

You should now see your new API key in the green notification banner above the table.


It’s important to identify the TextMagic API endpoints you want to use for analytics. Most APIs offer a combination of GET, POST, PUT, and DELETE request methods; however, for analytics, GET requests are typically the most useful. At times, POST requests can be used to extract data as well.

For TextMagic, the messages endpoint is a great place to get started.

Request Parameters

For each API endpoint you would like to use for analytics, you need to understand the method (GET, POST, PUT, or DELETE) and the URL, but there are other considerations to take into account as well. You should look out for pagination mechanics, query parameters, and parameters that are added to the request path.

Textmagic uses page and limit parameters for pagination.

Some API endpoints require unique identifiers from a previous API response to be included in the URL path. For instance, to find chats by phone, you need a phone_id that is returned from another endpoint.

How Do You Call the TextMagic API? (Tutorial)

  1. Follow the instructions above to read the TextMagic API documentation
  2. Identify and collect your credentials for authentication
  3. Pick the API resource you want to pull data from
  4. Configure the necessary parameters, method, and URL to make your first request (e.g. with curl or Postman)
  5. Add your credentials and make your first API call . Here is an example request using curl (without real credentials):
curl -X POST 'https://sandbox.textmagic.com/proxyprod/api/v2/messages' -H 'accept: application/json' -H 'Content-Type: application/json' -d '{ 'text': 'Hello, how are you?', 'templateId': 1, 'sendingDateTime': '2020-05-27 13:02:33', 'sendingTimezone': 'America/Buenos_Aires', 'contacts': '1,2,3,4', 'lists': '1,2,3,4', 'phones': '447860021130,447860021131', 'cutExtra': true, 'partsCount': 6, 'referenceId': 1, 'from': 'Test sender id', 'rrule': 'FREQ=YEARLY;BYMONTH=1;BYMONTHDAY=1;COUNT=1', 'createChat': false, 'tts': false, 'local': false, 'localCountry': 'US', 'destination': 'mms', 'resources': 'tmauKcSmwflB77kLQ15904023426649.jpg'}'

How Do You Maintain a Custom TextMagic to Redshift ETL Pipeline?

Making a call to the TextMagic API is just the beginning of maintaining a complete custom ETL pipeline.

Here is a getting-started guide to building a production-grade pipeline for TextMagic:

  • For each API endpoint, define schemas (which fields exist and the type for each)
  • Process the API response and parse the data (typically parsing JSON or XML)
  • Handle and replicate nested objects and custom fields
  • Identify which TextMagic fields are primary keys and which keys are required vs. optional
  • Version control your changes in a git-based workflow (using GitHub, GitLab, etc.)
  • Handle code dependencies in your toolchain and the upgrades that come with each
  • Monitor the health of the upstream API, and —when things go wrong— troubleshoot via the status page, reach out to support, and open tickets
  • Handle error codes (HTTP error codes like 400s, 500s, etc.)
  • Manage and respect rate limits imposed by the server

We won’t go into detail on all of the items above, but rate limits are a great example of the complexity found in a production-grade data pipeline.

Textmagic limits calls to 20 requests per second. If the limit is exceeded, 429 Too Many Requests error will be returned.

If you don’t respect rate limits, and if you can’t handle server responses (like 429 errors with a Retry-After header), your pipeline can break, and analytics can become out-of-date.

What Are the Drawbacks of Building the TextMagic ETL Pipeline Yourself?

You can probably tell at this point that there is a lot of work that goes into building and maintaining an ETL pipeline from TextMagic to your data warehouse.

If you want less development work, faster insights, and no ongoing responsibilities, you should consider a cloud-hosted ETL solution.

Let’s walk through the setup process for a no-code ETL solution and its benefits.

Method 2: Using a No-Code TextMagic ETL Solution

No-code ETL solutions are simple. Vendors specialize in building and maintaining data pipelines on your behalf. Instead of starting from scratch for each integration. Companies like Portable create connector templates that can be leveraged by hundreds or thousands of clients.

Step-By-Step Tutorial for Configuring Your TextMagic ETL Pipeline

Off-the-shelf ETL tools offer a no-code setup process. Here are the instructions to connect TextMagic to your cloud data warehouse with Portable.

  1. Create an account (no credit card required)
  2. Add a source —search for and select TextMagic
  3. Authenticate with TextMagic using the instructions in the Portable console
  4. Select Redshift and authenticate
  5. Set up a flow connecting TextMagic to your analytics environment
  6. Run your flow to replicate data from TextMagic to your warehouse
  7. Use the dropdown to set your data flow to run on a cadence

What Are the Benefits of Using Portable for TextMagic ETL?

No-Code Simplicity

Start moving TextMagic data in minutes. Save yourself the headaches of reading API documentation, writing code, and worrying about maintenance. Leave the hassle to us.

Easy to Understand Pricing

With predictable, fixed-cost pricing per data flow, you know exactly how much your TextMagic integration will cost every month.

Fast Development Speeds

Access lightning-fast connector development. Portable can build new integrations on-demand in hours or days.

Hands-On Support

APIs change. Schemas evolve. TextMagic will have maintenance issues and errors. With Portable, we will do everything in our power to make your life easier.

Unlimited Data Volumes

You can move as much data from TextMagic to Amazon Redshift as you want without worrying about usage credits or overages. Instead of analyzing your ETL costs, you should be analyzing your data.

Free to Get Started

Sign up and get started for free. You don’t need a credit card to manually trigger a data sync, so you can try all of our connectors before paying a dime.

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