Integrate the CrimeoMeter API with the Python API

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

Popular CrimeoMeter and Python Actions#

Retrieve Raw Data with the CrimeoMeter API

Provides incidents raw data. See the docs and here.

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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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Retrieve Raw Data Coverage with the CrimeoMeter API

Provides raw data coverage information grouped by cities. See the docs and here.

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Retrieve Stats with the CrimeoMeter API

Provides incidents statistics. See the docs and here.

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Overview of CrimeoMeter#

The CrimeoMeter API provides detailed crime data, allowing users to access crime statistics and safety information across various locations. Utilize this API within Pipedream to integrate real-time crime data into apps, send alerts, or enhance analytics. Pipedream makes it simple to set up event-driven workflows that react to CrimeoMeter's data, enabling both individual users and organizations to act upon crime insights swiftly and automate their safety processes.

Connect CrimeoMeter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crimeometer: {
      type: "app",
      app: "crimeometer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.crimeometer.com/v1/incidents/raw-data`,
      headers: {
        "Content-Type": `application/json`,
        "x-api-key": `${this.crimeometer.$auth.api_key}`,
      },
      params: {
        lat: `{your_latitude}`,
        lon: `{your_longitude}`,
        distance: `{your_distance}`,
        datetime_ini: `{your_datetime_ini}`,
        datetime_end: `{your_datetime_end}`,
      },
    })
  },
})

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}}