Confluence
Finance & Ops Analytics
Sync Confluence data anywhere.
- Standard
- Beta
- 5 streams
- 5 entities
- 5Streams
- 5Entities
- 3Actions
- 50+Destinations
Everything Confluence can do in Airbyte
Sync to your warehouse
Land 5 Confluence tables in 50+ destinations on a schedule you control.
Context store search
Query synced Confluence data with filters, sorting and semantic search, without spending Confluence API rate limits.
One authorization
Authenticate Confluence once. The same connection powers scheduled syncs and runtime actions.
Cloud or self-hosted
Run the Confluence connector on Cloud, Self-Managed Enterprise.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncNot supported
- NamespacesNot supported
- Available onCloud, Self-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version1.0.34
Set up in 9 steps
- First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
- Click on "Create New Source" and select "Confluence" from the list of available connectors.
- Enter a name for your Confluence source and click "Next".
- Enter the URL for your Confluence instance, along with your username and password.
- Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Confluence instance.
- Once the connection is successful, select the spaces you want to replicate data from.
- Choose the replication frequency and the type of replication you want to use (full or incremental).
- Click "Create Source" to save your settings and start replicating data from Confluence to Airbyte.
- You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination of choice.
Every table you can sync from Confluence
Audit
Blog Posts
Group
Pages
Space
Supported Confluence actions
List
Read live records straight from the Confluence API.
Get
Fetch a single record by ID.
Context Store Search
Query synced data with filters and sorting, with no API rate limits.
Authenticate Confluence once
API Token
Please follow the Jira confluence for generating an API token: generating an API token.
What teams build with Confluence
List all spaces in my Confluence instance
Show me the most recently created pages
List all blog posts
Show me details for a specific page
List all groups in Confluence
Show me recent audit log entries
Common questions
Do I need more than one Confluence connection?
No. One Confluence authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.
Do Confluence entity actions need a sync to run first?
No. Entity actions read and write through the Confluence API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.
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 Confluence?
Confluence's API provides access to a wide range of data, including:
1. Pages: Confluence pages are the primary unit of content in the platform, and the API allows developers to create, read, update, and delete pages.
2. Spaces: Spaces are containers for pages and other content, and the API provides access to space metadata, permissions, and other settings.
3. Users and groups: The API allows developers to manage users and groups, including creating, updating, and deleting them.
4. Comments: Confluence pages can have comments, and the API provides access to comment metadata and content.
5. Attachments: Pages can have attachments, such as images or documents, and the API allows developers to manage attachments.
6. Labels: Labels are used to categorize content in Confluence, and the API provides access to label metadata and allows developers to add or remove labels from pages.
7. Search: The API provides a search endpoint that allows developers to search for pages, spaces, and other content in Confluence.
Overall, Confluence's API provides access to a wide range of data that developers can use to build custom integrations and applications that extend the functionality of the platform.
How do I transfer data from Confluence?
1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on "Create New Source" and select "Confluence" from the list of available connectors.
3. Enter a name for your Confluence source and click "Next".
4. Enter the URL for your Confluence instance, along with your username and password.
5. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Confluence instance.
6. Once the connection is successful, select the spaces you want to replicate data from.
7. Choose the replication frequency and the type of replication you want to use (full or incremental).
8. Click "Create Source" to save your settings and start replicating data from Confluence to Airbyte.
9. You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination of choice.
What are top ETL tools to transfer data from Confluence?
The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into 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.
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Start moving Confluence data today
Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Confluence actions.