Integrate the Pinterest API with the Python API

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

Popular Ways to Connect Pinterest with Python#

Run Python Code with Python API on New Board Event from Pinterest API

Pinterest + Python

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Run Python Code with Python API on New Pin Event from Pinterest API

Pinterest + Python

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Popular Pinterest and Python Triggers#

New Board Event from the Pinterest API

Emit new events when new boards are created. See the docs

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New Pin Event from the Pinterest API

Emit new events when new pins are created on a board or board section. See the docs here and here

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Popular Pinterest and Python Actions#

Create a Pin with the Pinterest API

Create a Pin on a board or board section, See the docs

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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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Overview of Pinterest#

The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.

Connect Pinterest#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pinterest: {
      type: "app",
      app: "pinterest",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pinterest.com/v5/user_account`,
      headers: {
        Authorization: `Bearer ${this.pinterest.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}