Integrate the Specific API with the Python API

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

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Popular Ways to Connect Specific with Python#

Run Python Code with Python API on New Contact Created (Instant) from Specific API

Specific + Python

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Run Python Code with Python API on New Conversation Instant from Specific API

Specific + Python

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Popular Specific and Python Triggers#

New Contact Created (Instant) from the Specific API

Emit new event whenever a new contact is created.

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New Conversation Instant from the Specific API

Emit new event whenever a new conversation is initiated.

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Popular Specific and Python Actions#

Create Conversation with the Specific API

Create a new conversation. See the documentation

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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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Find Company with the Specific API

Retrieve details of a specified company. See the documentation

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Update or Create Contact with the Specific API

Modify an existing contact's details or create a new one if the specified contact does not exist. See the documentation

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Connect Specific#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    specific: {
      type: "app",
      app: "specific",
    }
  },
  async run({steps, $}) {
    const data = {"query": "query { companies { id name } }"}
    return await axios($, {
      method: "post",
      url: `https://public-api.specific.app/graphql`,
      headers: {
        "Authorization": `${this.specific.$auth.api_key}`,
      },
      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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