More Trees

🌍 CO2 sequestration & offsetting made easy. 🌳 Plant trees from £1 for yourself, your business and others ⚙️You can even do it automatically with our API.

Integrate the More Trees API with the Python API

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

Get Carbon Offset with the More Trees API

Get the total carbon offset. 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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Plant Tree with the More Trees API

Plant a tree for self or for others. See the documentation

 
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Overview of More Trees

The More Trees API enables users to integrate tree planting into their apps and workflows. It offers a way to automate the process of planting trees, allowing users to contribute to reforestation efforts globally through their business practices or personal projects. With this API on Pipedream, you can create serverless workflows that respond to various triggers (like eCommerce transactions or milestones) and automatically initiate tree planting tasks. This not only greenifies your operations but also provides a tangible way to showcase corporate social responsibility.

Connect More Trees

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    more_trees_: {
      type: "app",
      app: "more_trees_",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.moretrees.eco/v1/basic/viewCredits`,
      headers: {
        "Authorization": `${this.more_trees_.$auth.public_validation_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

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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}}