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.

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Popular Ways to Connect Pipefy with Python#

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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Popular Pipefy and Python Triggers#

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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Popular Pipefy and Python Actions#

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#

Pipefy is a platform that empowers users to streamline complex processes and workflows without the need for technical skills. With the Pipefy API, you can automate various aspects of your Pipefy environment, such as creating cards, updating fields, and managing pipelines programmatically. Use Pipedream to connect Pipefy with hundreds of other apps and orchestrate workflows that can save time, reduce errors, and enhance efficiency.

Connect Pipefy#

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#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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}}

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