What do you want to automate

with Trestle and Python?

Prompt, edit and deploy AI agents that connect to Trestle, Python and 2,500+ other apps in seconds.

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Phone Validation with the Trestle API

Validates phone numbers and provides phone metadata. 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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Real Contact with the Trestle API

Verifies and grades phone numbers, emails, and addresses. See the documentation

 
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Reverse Phone with the Trestle API

Offers comprehensive verification and enrichment of phone numbers. See the documentation

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

Overview of Trestle

The Trestle API provides a platform for real estate data integration, offering access to listings, open houses, and other relevant data. It's designed for developers building applications that require up-to-date real estate information. On Pipedream, you can harness this data to create automated workflows that respond to changes in listings, sync data between platforms, or generate real-time analytics.

Connect Trestle

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    trestle: {
      type: "app",
      app: "trestle",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.trestleiq.com/3.0/phone_intel`,
      headers: {
        "x-api-key": `${this.trestle.$auth.api_key}`,
      },
      params: {
        phone: `+14083726197`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo