Integrate the Talend API with the Python API

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

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Popular Talend and Python Actions#

Execute Plan with the Talend API

Allows to run a Plan. 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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Get Available Plans Executions with the Talend API

List all plan executions the user is granted visibility on. For each plan execution returns execution and plan identifiers, start and finish timestamps, execution status and counters on done and planned executables within plan. See the documentation.

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Get Plan Execution Status with the Talend API

Get detailed status of one plan execution. See the documentation.

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Overview of Talend#

The Talend API provides a robust toolkit for data integration and management, enabling the automation of tasks such as data extraction, transformation, and loading (ETL). By leveraging the Talend API within Pipedream, you can create intricate workflows that automate data operations, integrate with various data sources, and orchestrate data pipelines. It's a tool designed for data professionals seeking to streamline data processes and ensure data quality across their systems.

Connect Talend#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    talend: {
      type: "app",
      app: "talend",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.${this.talend.$auth.endpoint}.cloud.talend.com/account/users`,
      headers: {
        Authorization: `Bearer ${this.talend.$auth.persona_access_token}`,
        "Accept": `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}}

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