Integrations Codefresh Data Extractor
Codefresh + Data Extractor

Connect Codefresh and Data Extractor to Build Intelligent Automations

Choose a Trigger

Codefresh

When this happens...

Choose an Action

Data Extractor

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Project

New Project

Triggers when a new project is created in scheduled time.

Request a new Trigger for Codefresh

Do thisActions

Action is the task that follows automatically within your Codefresh integrations.

Create Project

Create Project

Creates a new project.

Create Teams

Create Teams

Create a new Codefresh team, add specified users, and apply optional tags.

Create Annotaions

Create Annotaions

Add an annotation to a Codefresh entity (pipeline, build, or deployment).

Search Project

Search Project

Search projects with filters.

Delete a Project

Delete a Project

Deletes a project.

List Build

List Build

Retrieve a paginated list of workflow builds, optionally filtered by status, pipeline, git provider/repo, trigger reason, and date range.

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Frequently Asked Questions

How do I start an integration between Codefresh and Data Extractor?

To start, connect both your Codefresh and Data Extractor accounts to viaSocket. Once connected, you can set up a workflow where an event in Codefresh triggers actions in Data Extractor (or vice versa).

Can we customize how data from Codefresh is recorded in Data Extractor?

Absolutely. You can customize how Codefresh data is recorded in Data Extractor. This includes choosing which data fields go into which fields of Data Extractor, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Codefresh and Data Extractor?

The data sync between Codefresh and Data Extractor typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Codefresh to Data Extractor?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Codefresh and Data Extractor?

Yes, you can set conditional logic to control the flow of data between Codefresh and Data Extractor. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Codefresh

About Codefresh

Codefresh is a modern DevOps platform that streamlines software development and delivery. It offers powerful CI/CD tools to help developers build, test, and deploy applications efficiently, simplifying complex workflows for teams aiming to enhance their DevOps practices.

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Data Extractor

About Data Extractor

Firecrawl.dev is a powerful tool designed for web scraping and crawling, enabling users to efficiently extract and process data from websites. It offers advanced features for automating data collection, making it an essential tool for businesses and developers who need to gather large amounts of web data quickly and accurately.

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