Integrate the Facebook Pages API with the Python API

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

Popular Facebook Pages and Python Actions#

Create Comment with the Facebook Pages API

Create a new comment on a post on a Facebook Page. 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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Create Post with the Facebook Pages API

Create a new post on a Facebook Page. See the documentation

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Get Comment with the Facebook Pages API

Retrieves a comment on a post on a Facebook Page. See the documentation

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Get Page with the Facebook Pages API

Retrieves a Facebook Page. See the documentation

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Overview of Facebook Pages#

The Facebook Pages API on Pipedream allows you to automate interactions with your Facebook Page. Using Pipedream's serverless platform, you can create workflows that respond to events, publish new content, manage posts, and analyze Page performance data. This API enables seamless integration with other apps and services, allowing for complex automations and data-driven decision-making.

Connect Facebook Pages#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    facebook_pages: {
      type: "app",
      app: "facebook_pages",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.facebook.com/me/`,
      headers: {
        Authorization: `Bearer ${auths.facebook.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}}