How to load data from Pexels API to Databricks Lakehouse

Learn how to use Airbyte to synchronize your Pexels API data into Databricks Lakehouse within minutes.

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Pexels API

The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.

Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Old Automated Content

TL;DR

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 Pexels API as a source connector (using Auth, or usually an API key)
  2. set up Databricks Lakehouse 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 Pexels API

The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.

What is Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Integrate Pexels API with Databricks Lakehouse in minutes

Try for free now

Prerequisites

  1. A Pexels API account to transfer your customer data automatically from.
  2. A Databricks Lakehouse 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 Pexels API and Databricks Lakehouse, for seamless data migration.

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

Step 1: Set up Pexels API as a source connector

1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create a new source" button and select "Pexels API" from the list of available connectors.
3. Enter a name for your Pexels API source and click "Next".
4. In the "Connection Configuration" section, enter your Pexels API key in the "API Key" field.
5. Click "Test Connection" to ensure that your API key is valid and that Airbyte can connect to your Pexels account.
6. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
7. In this section, you can choose which tables you want to replicate from your Pexels account. You can select all tables or only specific ones.
8. Click "Next" to proceed to the "Sync Schedule" section. Here, you can choose how often you want Airbyte to sync your Pexels data.
9. Once you have selected your sync schedule, click "Create Source" to save your Pexels API source.
10. You can now use your Pexels API source to replicate data to your destination of choice.

Step 2: Set up Databricks Lakehouse as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Databricks Lakehouse" connector and click on it.
4. You will be prompted to enter your Databricks Lakehouse credentials, including your account name, personal access token, and workspace ID.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your Databricks Lakehouse destination connector settings.
7. You can now use the Databricks Lakehouse connector to transfer data from your source connectors to your Databricks Lakehouse destination.
8. To set up a data transfer, navigate to the "Sources" tab and select the source connector that you want to use.
9. Follow the prompts to enter your source connector credentials and configure your data transfer settings.
10. Once you have configured your source connector, select the Databricks Lakehouse connector as your destination and follow the prompts to configure your data transfer settings.
11. Click on the "Run" button to initiate the data transfer.

Step 3: Set up a connection to sync your Pexels API data to Databricks Lakehouse

Once you've successfully connected Pexels API as a data source and Databricks Lakehouse 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 Pexels API from the dropdown list of your configured sources.
  3. Select your destination: Choose Databricks Lakehouse 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 Pexels API objects you want to import data from towards Databricks Lakehouse. 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 Pexels API to Databricks Lakehouse according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Databricks Lakehouse data warehouse is always up-to-date with your Pexels API data.

Use Cases to transfer your Pexels API data to Databricks Lakehouse

Integrating data from Pexels API to Databricks Lakehouse provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Databricks Lakehouse’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Pexels API data, extracting insights that wouldn't be possible within Pexels API alone.
  2. Data Consolidation: If you're using multiple other sources along with Pexels API, syncing to Databricks Lakehouse allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Pexels API has limits on historical data. Syncing data to Databricks Lakehouse allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Databricks Lakehouse provides robust data security features. Syncing Pexels API data to Databricks Lakehouse ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Databricks Lakehouse can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Pexels API data.
  6. Data Science and Machine Learning: By having Pexels API data in Databricks Lakehouse, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Pexels API provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Databricks Lakehouse, providing more advanced business intelligence options. If you have a Pexels API table that needs to be converted to a Databricks Lakehouse table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Pexels API account as an Airbyte data source connector.
  2. Configure Databricks Lakehouse as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Pexels API to Databricks Lakehouse 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!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
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Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
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Warehouses and Lakes
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How to load data from Pexels API to Databricks Lakehouse

Learn how to use Airbyte to synchronize your Pexels API data into Databricks Lakehouse within minutes.

TL;DR
What is Pexels API
What is Databricks Lakehouse
Prerequisites
Step 1: Setup Pexels API
Step 2: Setup Databricks Lakehouse
Step 3: Setup a connectionUse CasesWrapping Up
Example H2
Example H3

Sync data between Pexels API and Databricks Lakehouse

Try Airbyte free

TL;DR

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 Pexels API as a source connector (using Auth, or usually an API key)
  2. set up Databricks Lakehouse 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 Pexels API

The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.

What is Databricks Lakehouse

Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks combines data warehouses and data lakes into a lakehouse architecture.

Integrate Pexels API with Databricks Lakehouse in minutes

Try for free now

Prerequisites

  1. A Pexels API account to transfer your customer data automatically from.
  2. A Databricks Lakehouse 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 Pexels API and Databricks Lakehouse, for seamless data migration.

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

Step 1: Set up Pexels API as a source connector

1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create a new source" button and select "Pexels API" from the list of available connectors.
3. Enter a name for your Pexels API source and click "Next".
4. In the "Connection Configuration" section, enter your Pexels API key in the "API Key" field.
5. Click "Test Connection" to ensure that your API key is valid and that Airbyte can connect to your Pexels account.
6. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
7. In this section, you can choose which tables you want to replicate from your Pexels account. You can select all tables or only specific ones.
8. Click "Next" to proceed to the "Sync Schedule" section. Here, you can choose how often you want Airbyte to sync your Pexels data.
9. Once you have selected your sync schedule, click "Create Source" to save your Pexels API source.
10. You can now use your Pexels API source to replicate data to your destination of choice.

Step 2: Set up Databricks Lakehouse as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Databricks Lakehouse" connector and click on it.
4. You will be prompted to enter your Databricks Lakehouse credentials, including your account name, personal access token, and workspace ID.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your Databricks Lakehouse destination connector settings.
7. You can now use the Databricks Lakehouse connector to transfer data from your source connectors to your Databricks Lakehouse destination.
8. To set up a data transfer, navigate to the "Sources" tab and select the source connector that you want to use.
9. Follow the prompts to enter your source connector credentials and configure your data transfer settings.
10. Once you have configured your source connector, select the Databricks Lakehouse connector as your destination and follow the prompts to configure your data transfer settings.
11. Click on the "Run" button to initiate the data transfer.

Step 3: Set up a connection to sync your Pexels API data to Databricks Lakehouse

Once you've successfully connected Pexels API as a data source and Databricks Lakehouse 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 Pexels API from the dropdown list of your configured sources.
  3. Select your destination: Choose Databricks Lakehouse 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 Pexels API objects you want to import data from towards Databricks Lakehouse. 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 Pexels API to Databricks Lakehouse according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Databricks Lakehouse data warehouse is always up-to-date with your Pexels API data.

Use Cases to transfer your Pexels API data to Databricks Lakehouse

Integrating data from Pexels API to Databricks Lakehouse provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Databricks Lakehouse’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Pexels API data, extracting insights that wouldn't be possible within Pexels API alone.
  2. Data Consolidation: If you're using multiple other sources along with Pexels API, syncing to Databricks Lakehouse allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Pexels API has limits on historical data. Syncing data to Databricks Lakehouse allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Databricks Lakehouse provides robust data security features. Syncing Pexels API data to Databricks Lakehouse ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Databricks Lakehouse can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Pexels API data.
  6. Data Science and Machine Learning: By having Pexels API data in Databricks Lakehouse, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Pexels API provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Databricks Lakehouse, providing more advanced business intelligence options. If you have a Pexels API table that needs to be converted to a Databricks Lakehouse table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Pexels API account as an Airbyte data source connector.
  2. Configure Databricks Lakehouse as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Pexels API to Databricks Lakehouse 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!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Pexels API
Databricks Lakehouse

Related Syncs with Pexels API

Tags

APIs

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Pexels API
Databricks Lakehouse

Related Syncs with Pexels API

Pexels API to AWS Datalake
Pexels API to BigQuery
Pexels API to Databricks Lakehouse
Pexels API to S3
Pexels API to S3 Glue

Tags

APIs

Ready to get started?

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Frequently Asked Questions

What data can you extract from Pexels API?

Pexels API provides access to a vast collection of high-quality images and videos that can be used for various purposes. The API offers a range of data categories, including:  

- Images: Pexels API provides access to millions of high-quality images that can be used for commercial and personal projects. The images are available in various resolutions and formats, including JPEG and PNG.  
- Videos: The API also offers access to a large collection of high-quality videos that can be used for commercial and personal projects. The videos are available in various resolutions and formats, including MP4 and MOV.  
- Search: Pexels API allows users to search for images and videos based on keywords, categories, and other parameters. The search results can be filtered by various criteria, such as orientation, size, and color.  
- Popular: The API provides access to a list of popular images and videos that are currently trending on the platform.  
- Curated Collections: Pexels API offers access to a range of curated collections of images and videos that are organized by theme, such as nature, technology, and business.  
- Contributors: The API also provides information about the contributors who have uploaded images and videos to the platform, including their names and profiles.

What data can you transfer to Databricks Lakehouse?

You can transfer a wide variety of data to Databricks Lakehouse. 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 Pexels API to Databricks Lakehouse?

The most prominent ETL tools to transfer data from Pexels API to Databricks Lakehouse include:

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

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

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Pexels API
Databricks Lakehouse

Related Syncs with Pexels API

Pexels API to AWS Datalake
Pexels API to BigQuery
Pexels API to Databricks Lakehouse
Pexels API to S3
Pexels API to S3 Glue

Tags

APIs

Connectors Used

Pexels API
Databricks Lakehouse

Related Syncs with Pexels API

Pexels API to AWS Datalake
Pexels API to BigQuery
Pexels API to Databricks Lakehouse
Pexels API to S3
Pexels API to S3 Glue

Tags

APIs