Connectors

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Wrike

Wrike

Finance & Ops Analytics

Sync Wrike data anywhere.

Wrike is an American project management application service provider which is based in San Jose, California. It is a cloud based association and project management tool that assists users to manage projects from start to finish, providing full visibility. Wrike is entirely a cloud-based project management platform for teams of 20+ which is suitable for both large program and SMBs. Wrike ransaks to discard complexity from work so people and teams can enforce at their best.

  • Standard
  • Alpha
  • 6 streams
Sync Wrike dataRead the docs
  • 6Streams
  • 50+Destinations
One connector

Everything Wrike can do in Airbyte

  • Sync to your warehouse

    Land 6 Wrike tables in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate Wrike once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Wrike connector on Cloud, Self-Managed Enterprise.

Sync capabilities

  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version0.3.65

Set up in 8 steps

  1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
  2. Click on "Create New Source" and select "Wrike" from the list of available connectors.
  3. Enter a name for your Wrike source connector and click on "Next".
  4. Enter your Wrike API credentials, including your Client ID, Client Secret, and Access Token. You can find these credentials by following the instructions in the Wrike API documentation.
  5. Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Wrike account.
  6. Once the connection is successful, select the Wrike entities that you want to replicate in Airbyte. You can choose from tasks, folders, projects, and more.
  7. Configure any additional settings for your Wrike source connector, such as the replication frequency and the number of records to fetch per API call.
  8. Click on "Create Source" to save your Wrike source connector and start replicating data from Wrike to Airbyte.
6 streams

Every table you can sync from Wrike

  • Tasks

  • Customfields

  • Comments

  • Contacts

  • Folders

  • Workflows

Authentication

Authenticate Wrike once

  • Permanent Access Token

    Permanent access token. You can find documentation on how to acquire a permanent access token here

FAQ

Common 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 Wrike?

Wrike's API provides access to a wide range of data related to project management and collaboration. The following are the categories of data that can be accessed through Wrike's API:

1. Tasks: Information related to tasks such as task name, description, due date, status, and assignee.
2. Projects: Data related to projects such as project name, description, start and end dates, and project status.
3. Users: Information about users such as user name, email address, and user role.
4. Time tracking: Data related to time tracking such as time spent on tasks, time entries, and billable hours.
5. Comments: Information related to comments such as comment text, author, and date.
6. Attachments: Data related to attachments such as attachment name, type, and size.
7. Custom fields: Information related to custom fields such as field name, type, and value.
8. Folders: Data related to folders such as folder name, description, and folder structure.
9. Reports: Information related to reports such as report name, description, and report data.

Overall, Wrike's API provides access to a comprehensive set of data that can be used to enhance project management and collaboration.

How do I transfer data from Wrike?

1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
2. Click on "Create New Source" and select "Wrike" from the list of available connectors.
3. Enter a name for your Wrike source connector and click on "Next".
4. Enter your Wrike API credentials, including your Client ID, Client Secret, and Access Token. You can find these credentials by following the instructions in the Wrike API documentation.
5. Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Wrike account.
6. Once the connection is successful, select the Wrike entities that you want to replicate in Airbyte. You can choose from tasks, folders, projects, and more.
7. Configure any additional settings for your Wrike source connector, such as the replication frequency and the number of records to fetch per API call.
8. Click on "Create Source" to save your Wrike source connector and start replicating data from Wrike to Airbyte.

What are top ETL tools to transfer data from Wrike?

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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