How to load data from PokéAPI to Kinesis

Learn how to use Airbyte to synchronize your PokéAPI data into Kinesis within minutes.


This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up PokéAPI as a source connector (using Auth, or usually an API key)
  2. set up Kinesis as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is PokéAPI

PokeAPI is a website that provides an Application Programming Interface (API) connecting to Pokemon-related objects built from lines of data related to Pokemon. It is a RESTful API, which follows a looser set of constraints than the traditional type. Specifically designed to cover the Pokemon video game franchise, PokeAPI provides information on all things Pokemon—moves, types, egg groups, abilities, and more.

What is Kinesis

AWS Kinesis is a fully managed service by Amazon Web Services (AWS) that allows real-time processing of streaming data at a massive scale. It simplifies the ingestion, storage, processing, and analysis of streaming data from various sources such as IoT devices, application logs, clickstreams, and more. Kinesis offers multiple components, including Kinesis Data Streams for real-time data streaming, Kinesis Data Firehose for easy data loading into data stores, and Kinesis Data Analytics for real-time analytics. With high throughput and low latency, AWS Kinesis enables businesses to gain valuable insights, detect anomalies, perform real-time monitoring, and build responsive applications based on the continuous flow of streaming data.


  1. A PokéAPI account to transfer your customer data automatically from.
  2. A Kinesis account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including PokéAPI and Kinesis, for seamless data migration.

When using Airbyte to move data from PokéAPI to Kinesis, it extracts data from PokéAPI using the source connector, converts it into a format Kinesis can ingest using the provided schema, and then loads it into Kinesis via the destination connector. This allows businesses to leverage their PokéAPI data for advanced analytics and insights within Kinesis, simplifying the ETL process and saving significant time and resources.

Step 1: Set up PokéAPI as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button and select "PokéAPI" from the list of available connectors.
3. Enter a name for the source and click on the "Next" button.
4. In the "Connection Configuration" section, enter the base URL for the PokéAPI endpoint ( in the "Base URL" field.
5. In the "Authentication" section, select the type of authentication you want to use (either "None" or "API Key").
6. If you selected "API Key" authentication, enter your PokéAPI API key in the "API Key" field.
7. Click on the "Test" button to ensure that the connection is working properly.
8. If the test is successful, click on the "Create" button to save the source configuration.
9. You can now use the PokéAPI source connector to extract data from the PokéAPI endpoint and load it into your destination data warehouse or data lake.

Step 2: Set up Kinesis as a destination connector

1. Log in to your Airbyte account and navigate to the "Destinations" tab.
2. Click on the "Add Destination" button and select "Kinesis" from the list of available connectors.
3. Enter your Kinesis credentials, including your AWS access key and secret access key.
4. Choose the region where you want to send your data.
5. Select the data format you want to use, such as JSON or CSV.
6. Configure any additional settings, such as the maximum number of records to send in each batch.
7. Test the connection to ensure that your Kinesis destination is properly configured.
8. Once you have successfully connected your Kinesis destination, you can begin sending data from your Airbyte sources to your Kinesis stream.

Step 3: Set up a connection to sync your PokéAPI data to Kinesis

Once you've successfully connected PokéAPI as a data source and Kinesis as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select PokéAPI from the dropdown list of your configured sources.
  3. Select your destination: Choose Kinesis from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific PokéAPI objects you want to import data from towards Kinesis. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from PokéAPI to Kinesis according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Kinesis data warehouse is always up-to-date with your PokéAPI data.

Use Cases to transfer your PokéAPI data to Kinesis

Integrating data from PokéAPI to Kinesis provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Kinesis’s powerful data processing capabilities enable you to perform complex queries and data analysis on your PokéAPI data, extracting insights that wouldn't be possible within PokéAPI alone.
  2. Data Consolidation: If you're using multiple other sources along with PokéAPI, syncing to Kinesis allows you to centralize your data for a holistic view of your operations
  3. Historical Data Analysis: PokéAPI has limits on historical data. Syncing data to Kinesis allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Kinesis provides robust data security features. Syncing PokéAPI data to Kinesis ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Kinesis can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding PokéAPI data.
  6. Data Science and Machine Learning: By having PokéAPI data in Kinesis, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While PokéAPI provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Kinesis, providing more advanced business intelligence options.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a PokéAPI account as an Airbyte data source connector.
  2. Configure Kinesis as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from PokéAPI to Kinesis after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

Frequently Asked Questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What data can you extract from PokéAPI?

PokéAPI's API gives access to a wide range of data related to the Pokémon universe. The following are the categories of data that can be accessed through the API:  

1. Pokémon: Information about all the Pokémon species, including their names, types, abilities, stats, and evolution chains.  
2. Moves: Information about all the moves that Pokémon can learn, including their names, types, power, accuracy, and effects.  
3. Abilities: Information about all the abilities that Pokémon can have, including their names, effects, and which Pokémon can have them.  
4. Items: Information about all the items that can be found in the Pokémon games, including their names, effects, and which Pokémon can use them.  
5. Locations: Information about all the locations that can be visited in the Pokémon games, including their names, descriptions, and which Pokémon can be found there.  
6. Games: Information about all the Pokémon games that have been released, including their names, release dates, and platforms.  
7. Types: Information about all the types of Pokémon, including their names, strengths, and weaknesses.  8. Berries: Information about all the berries that can be found in the Pokémon games, including their names, effects, and which Pokémon can eat them.  

Overall, the PokéAPI's API provides a comprehensive set of data that can be used to build a wide range of applications related to the Pokémon universe.

What data can you transfer to Kinesis?

You can transfer a wide variety of data to Kinesis. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from PokéAPI to Kinesis?

The most prominent ETL tools to transfer data from PokéAPI to Kinesis include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from PokéAPI and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Kinesis and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.