Integrate the Trust API with the Python API

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

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Popular Ways to Connect Trust with Python#

Run Python Code with Python API on New Testimonial Created from Trust API

Trust + Python

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Popular Trust and Python Triggers#

New Testimonial Created from the Trust API

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

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Popular Trust and Python Actions#

Create Testimonial with the Trust API

Create a new testimonial within the Trust platform.

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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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Delete Testimonial with the Trust API

Deletes an existing testimonial from the Trust platform. See the documentation

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Update Testimonial with the Trust API

Update an existing testimonial within the Trust platform. See the documentation

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Upload Video with the Trust API

Upload a video to the Trust platform. See the documentation.

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Connect Trust#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trust: {
      type: "app",
      app: "trust",
    }
  },
  async run({ steps, $ }) {
    return await axios($, {
      url: `https://api.usetrust.app/v1/websites`,
      headers: {
        "accept": `application/json`,
      },
      auth: {
        username: `x`,
        password: `${this.trust.$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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