Connectors

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Gitlab

Data replication

Sync Gitlab data anywhere.

GitLab is web-based Git repository manager. Whereas GitHub emphasizes infrastructure performance, GitLab’s focus is a features-oriented system. As an open-source collaborative platform, it enables developers to create code, review work, and deploy codebases collaboratively. It offers wiki, code reviews, built-in CI/CD, issue-tracking features, and much more.

  • Certified
  • Generally available
  • 20 streams
  • 14 entities
Sync Gitlab dataRead the docs
Gitlab

One connector

Everything Gitlab can do in Airbyte

  • Sync to your warehouse

    Land 20 Gitlab tables in 50+ destinations on a schedule you control.

  • Context store search

    Query synced Gitlab data with filters, sorting and semantic search, without spending Gitlab API rate limits.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Gitlab once. The same connection powers scheduled syncs and runtime actions.

Specifications

What to know before you sync Gitlab

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version4.4.36
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. First, navigate to the GitLab source connector page on Airbyte.com.
  2. Click on the "Add Source" button to begin the process of adding your GitLab credentials.
  3. In the "Connection Configuration" section, enter a name for your GitLab connection.
  4. Next, enter your GitLab API token in the "Personal Access Token" field. You can generate a new token in your GitLab account settings.
  5. In the "GitLab URL" field, enter the URL for your GitLab instance.
  6. In the "Project ID" field, enter the ID of the project you want to connect to. You can find this ID in the URL of the project page on GitLab.
  7. If you want to include only certain branches or tags in your data sync, you can specify them in the "Branches" and "Tags" fields.
  8. Finally, click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your GitLab instance.
  9. If the test is successful, click on the "Save" button to save your GitLab connection.
  10. You can now use this connection to create a new GitLab source in Airbyte and begin syncing your data.

20 streams

Every table you can sync from Gitlab

  • Branches

  • Commits

  • Deployments

  • Group Issue Boards

  • Group Labels

  • Group Members

  • Group Milestones

  • Groups

  • Issues

  • Jobs

  • Merge Request Commits

  • Merge Requests

  • Pipelines

  • Project Labels

  • Project Members

  • Project Milestones

  • Projects

  • Releases

  • Tags

  • Users

3 actions

Supported Gitlab actions

  • List

    Read live records straight from the Gitlab API.

  • Get

    Fetch a single record by ID.

  • Context Store Search

    Query synced data with filters and sorting, with no API rate limits.

Full parameter-level details live in the Gitlab entity reference.

Authentication

Authenticate Gitlab once

    • Recommended

    OAuth2.0

  • Private Token

Use cases

What teams build with Gitlab

List all projects I have access to

Get the details of a specific project

List all open issues in a project

Show merge requests for a project

List all groups I belong to

Show recent commits in a project

List pipelines for a project

Show all branches in a project

Find issues updated in the last week

What are the most active projects?

Show merge requests that are still open

List projects with the most commits

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Common questions

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No. One Gitlab authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.

No. Entity actions read and write through the Gitlab 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.

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.

GitLab's API provides access to a wide range of data related to a user's GitLab account and projects. The following are the categories of data that can be accessed through GitLab's API:

1. User data: This includes information about the user's profile, such as name, email, and avatar.

2. Project data: This includes information about the user's projects, such as project name, description, and visibility.

3. Repository data: This includes information about the user's repositories, such as repository name, description, and access level.

4. Issue data: This includes information about the user's issues, such as issue title, description, and status.

5. Merge request data: This includes information about the user's merge requests, such as merge request title, description, and status.

6. Pipeline data: This includes information about the user's pipelines, such as pipeline status, duration, and job details.

7. Job data: This includes information about the user's jobs, such as job status, duration, and artifacts.

8. Group data: This includes information about the user's groups, such as group name, description, and visibility.

Overall, GitLab's API provides access to a comprehensive set of data that can be used to automate and streamline various aspects of a user's GitLab workflow.

1. First, navigate to the GitLab source connector page on Airbyte.com.

2. Click on the "Add Source" button to begin the process of adding your GitLab credentials.

3. In the "Connection Configuration" section, enter a name for your GitLab connection.

4. Next, enter your GitLab API token in the "Personal Access Token" field. You can generate a new token in your GitLab account settings.

5. In the "GitLab URL" field, enter the URL for your GitLab instance.

6. In the "Project ID" field, enter the ID of the project you want to connect to. You can find this ID in the URL of the project page on GitLab.

7. If you want to include only certain branches or tags in your data sync, you can specify them in the "Branches" and "Tags" fields.

8. Finally, click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your GitLab instance.

9. If the test is successful, click on the "Save" button to save your GitLab connection.

10. You can now use this connection to create a new GitLab source in Airbyte and begin syncing your data.

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.

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.

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.

Start moving Gitlab data today

Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Gitlab actions.

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