Integrate the Firefish API with the Python API

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

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Popular Ways to Connect Firefish with Python#

Run Python Code with Python API on New Candidate Created from Firefish API

Firefish + Python

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Run Python Code with Python API on New Contact Created from Firefish API

Firefish + Python

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Popular Firefish and Python Triggers#

New Candidate Created from the Firefish API

Emit new event when a new candidate is created. See the documentation

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New Contact Created from the Firefish API

Emit new event when a new contact is created. See the documentation

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Popular Firefish 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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Unsubscribe Email with the Firefish API

Removes a particular contact or candidate from all existing firefish email subscriptions. See the documentatio

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Connect Firefish#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    firefish: {
      type: "app",
      app: "firefish",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.firefishsoftware.com/api/v1.0/contacts/search/`,
      headers: {
        Authorization: `Bearer ${this.firefish.$auth.oauth_access_token}`,
      },
    })
  },
})

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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