Pipefy

Process Management, Workflow Management Software

Integrate the Pipefy API with the Python API

Setup the Pipefy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Pipefy and Python remarkably fast. Free for developers.

Run Python Code with Python API on Card Created (Instant) from Pipefy API
Pipefy + Python
 
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Run Python Code with Python API on Card Done (Instant) from Pipefy API
Pipefy + Python
 
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Run Python Code with Python API on Card Expired from Pipefy API
Pipefy + Python
 
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Run Python Code with Python API on Card Field Updated (Instant) from Pipefy API
Pipefy + Python
 
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Run Python Code with Python API on Card Late from Pipefy API
Pipefy + Python
 
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Card Created (Instant) from the Pipefy API

Emits an event for each new card created in a Pipe.

 
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Card Done (Instant) from the Pipefy API

Emits an event each time a card is moved to Done a Pipe.

 
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Card Expired from the Pipefy API

Emits an event each time a card becomes expired in a Pipe.

 
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Card Field Updated (Instant) from the Pipefy API

Emits an event each time a card field is updated in a Pipe.

 
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Card Late from the Pipefy API

Emits an event each time a card becomes late in a Pipe.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create Card with the Pipefy API

Create a new Card in a Pipe. See the docs here

 
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Create Pipe with the Pipefy API

Creates a pipe. See the docs here

 
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Create Table Record with the Pipefy API

Creates a new table record. See the docs here

 
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Delete Card with the Pipefy API

Deletes a card. See the docs here

 
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Overview of Pipefy

Using the Pipefy API, it is possible to build powerful workflows that help to streamline the entire process of managing any given task or process. The API provides access to all of Pipefy’s features, allowing developers to create custom-built workflows that are tailored for their specific needs.

With Pipefy’s API, developers can take advantage of the following:

  • Create and manage customized pipelines
  • Automatically trigger events between different phases
  • Track progress and milestones
  • Establish custom notifications
  • Manage resources

Examples of what you can build with the Pipefy API:

  • A workflow to oversee the recruitment process, from applicant submission to onboarding.
  • A workflow to organize the marketing team’s daily, weekly and monthly tasks.
  • A workflow to oversee the development of software products, from planning to the release.
  • An automated system for processing customer requests and complaints.
  • A workflow to manage product releases from inception to launch.

Connect Pipefy

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipefy: {
      type: "app",
      app: "pipefy",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ me { name } }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.pipefy.com/graphql`,
      headers: {
        Authorization: `Bearer ${this.pipefy.$auth.token}`,
      },
      data,
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}