Integrate the SilFer Bots API with the Python API

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

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Popular SilFer Bots 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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Overview of SilFer Bots #

The SilFer Bots API enables the creation and management of chatbots that can be used for automating customer interactions across various messaging platforms. Leveraging Pipedream's strengths, you can develop intricate workflows that respond to events, synchronize data, and facilitate seamless communication between your SilFer Bots and other applications. The API's capabilities include sending messages, managing contacts, and handling bot events, which opens up a plethora of automation opportunities to enhance customer engagement and operational efficiency.

Connect SilFer Bots #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    silfer_bots: {
      type: "app",
      app: "silfer_bots",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.silferbots.co/user/[USER_ID]`,
      headers: {
        "X-SILFER-ACCESS-TOKEN": `${this.silfer_bots.$auth.api_key}`,
      },
    })
  },
})

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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