How to load data from Pocket to Clickhouse

Learn how to use Airbyte to synchronize your Pocket data into Clickhouse within minutes.

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Set up a Pocket connector in Airbyte

Connect to Pocket or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Clickhouse for your extracted Pocket data

Select Clickhouse where you want to import data from your Pocket source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Pocket to Clickhouse in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

set up Pocket as a source connector (using Auth, or usually an API key)
set up Clickhouse as a destination connector
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 Pocket

Pocket, the premier Save for Later app, lets you consume and share content whenever you want, wherever you want, even without an internet connection. When you come across an article, video or a webpage you'd like to readbut can't at that time, save it to Pocket. You can then read or watch it whenever you have a moment, whether it's on the couch, during your commute, on the plane, train, or practically anywhere.

What is Clickhouse

ClickHouse is an open-source, column-oriented OLAP database management system that allows users to generate analytical reports using SQL queries. Also offered as a secure and scalable service in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real time analytical processing.

Integrate Pocket with Clickhouse in minutes

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Prerequisites

A Pocket account to transfer your customer data automatically from.
A Clickhouse account.
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 Pocket and Clickhouse, for seamless data migration.

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

Step 1: Set up Pocket as a source connector

1. First, navigate to the Pocket source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. In the "Configuration" tab, enter a name for your connection.
4. Enter your Pocket consumer key and access token. These can be found in your Pocket developer account.
5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Pocket account.
6. Once the test is successful, click on the "Save & Continue" button.
7. In the "Sync Schema" tab, you can choose which fields you want to sync from your Pocket account.
8. Click on the "Save & Continue" button.
9. In the "Scheduling" tab, you can choose how often you want Airbyte to sync your Pocket data.
10. Click on the "Save & Continue" button.
11. In the "Destination" tab, you can choose where you want to send your Pocket data. This could be a data warehouse, a database, or a cloud storage service.
12. Click on the "Save & Continue" button.
13. Finally, click on the "Create Connection" button to complete the process. Your Pocket data will now be synced to your chosen destination on a regular basis according to your scheduling preferences.

Step 2: Set up Clickhouse as a destination connector

Step 3: Set up a connection to sync your Pocket data to Clickhouse

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Pocket from the dropdown list of your configured sources.
Select your destination: Choose Clickhouse from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Pocket objects you want to import data from towards Clickhouse. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Pocket to Clickhouse according to your settings.

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

Use Cases to transfer your Pocket data to Clickhouse

Integrating data from Pocket to Clickhouse provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Pocket account as an Airbyte data source connector.
Configure Clickhouse as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Pocket to Clickhouse 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!

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Sync with Airbyte

Step 1: Set up Pocket as a source connector

Step 2: Set up Clickhouse as a destination connector

Step 3: Set up a connection to sync your Pocket data to Clickhouse

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Pocket from the dropdown list of your configured sources.
Select your destination: Choose Clickhouse from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Pocket objects you want to import data from towards Clickhouse. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Pocket to Clickhouse according to your settings.

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

How to Sync Pocket to Clickhouse Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

FAQs

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 is Pocket?

What data can you extract from Pocket?

Pocket's API provides access to various types of data related to the user's Pocket account. The categories of data that can be accessed through the API are:

1. Articles: This includes the full text of articles saved by the user, along with metadata such as title, author, and URL.
2. Tags: The API allows access to the tags associated with each article, which can be used to organize and filter saved articles.
3. Favorites: The API provides access to the user's favorite articles, which can be used to highlight important or frequently referenced content.
4. Reads: The API tracks the user's reading history, including the date and time each article was read.
5. Recommendations: Pocket's API can provide personalized article recommendations based on the user's reading history and preferences.
6. Stats: The API provides access to various statistics related to the user's Pocket account, such as the number of articles saved, read, and favorited.
7. Authentication: The API allows developers to authenticate users and access their Pocket data securely.

How do I transfer data from Pocket?

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 Pocket to ClickHouse as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Pocket to ClickHouse and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

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.

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How to load data from Pocket to Clickhouse

Learn how to use Airbyte to synchronize your Pocket data into Clickhouse within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 2: Setup Clickhouse

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Pocket and Clickhouse

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Pocket as a source connector (using Auth, or usually an API key)
set up Clickhouse as a destination connector
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 Pocket

What is Clickhouse

Integrate Pocket with Clickhouse in minutes

Try for free now

Prerequisites

A Pocket account to transfer your customer data automatically from.
A Clickhouse account.
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.

Step 1: Set up Pocket as a source connector

Step 2: Set up Clickhouse as a destination connector

Step 3: Set up a connection to sync your Pocket data to Clickhouse

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Pocket from the dropdown list of your configured sources.
Select your destination: Choose Clickhouse from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Pocket objects you want to import data from towards Clickhouse. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Pocket to Clickhouse according to your settings.

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

Use Cases to transfer your Pocket data to Clickhouse

Integrating data from Pocket to Clickhouse provides several benefits. Here are a few use cases:

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