Integrate the Gist API with the Python API

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

Popular Ways to Connect Gist with Python#

Run Python Code with Python API on New Contact from Gist API

Gist + Python

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Popular Gist and Python Triggers#

New Contact from the Gist API

Emit new event when a new contact is created

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Popular Gist and Python Actions#

Add Tag To Existing Contacts with the Gist API

This Action lets you assign a tag to multiple contacts at once. If the tag does not already exist it will be created for you. See docs

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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 Or Update Contact with the Gist API

Create or update a contact in Gist See docs

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Get Contact with the Gist API

Find a Contact See docs

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Remove Tag From Existing Contact with the Gist API

Remove a tag from an existing contact or contacts. See docs

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Overview of Gist#

The Gist API empowers you to automate interactions with your Gist CRM platform, efficiently managing contacts, tags, and conversations. Tapping into this potential with Pipedream allows you to build seamless automation workflows that sync data between Gist and other services, trigger actions based on customer behavior, and keep your sales and support teams aligned with real-time information.

Connect Gist#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gist: {
      type: "app",
      app: "gist",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getgist.com/teammates`,
      headers: {
        Authorization: `Bearer ${this.gist.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}