Integrate the Agenty API with the Python API

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

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Popular Agenty 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 Agenty#

Agenty is a powerful scraping and automation tool that enables users to extract and transform data from web pages or documents. Using the Agenty API with Pipedream, you can automate the ingestion of this data, orchestrate its flow to other applications, and build complex workflows. Whether you're aggregating content, monitoring prices, or extracting data for analysis, the Agenty API facilitates these tasks by providing structured data as an output, which you can then process with Pipedream's serverless platform.

Connect Agenty#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    agenty: {
      type: "app",
      app: "agenty",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.agenty.com/v1/team`,
      params: {
        apikey: `${this.agenty.$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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