Integrate the Placekey API with the Python API

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

Popular Placekey and Python Actions#

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.

Overview of Placekey#

What can you build with Placekey API?

Placekey API is a powerful, open source tool that allows developers to create powerful applications in the location data space. With this API, you can create applications that can do a variety of geospatial tasks, such as building and querying maps, providing real-time data analysis and visualization, mobile application development, and more. Here are some examples of what you can do with the Placekey API:

Build maps for any type of application with comprehensive geospatial capabilities such as geolocation, reverse geocoding, and more
Query and filter large datasets quickly and easily with Placekey-backed search and filtering capabilities
Generate real-time insights and analytics within your application with Placekey-enabled visualization and analytic capabilities
Create powerful mobile applications and in-app location features with Placekey’s comprehensive mobile SDK and integrations
Create smooth and efficient routing and navigation experiences with Placekey’s easy-to-use routing functionality
Aggregate, search, and filter data from multiple data sources with Placekey-powered data aggregation and filtering capabilities
Analyze the relationship between places, activity, and transportation
Generate accurate and precise distance measures with Placekey-enabled geospatial distance calculation capabilities
Leverage Placekey-backed advanced analytics to draw valuable insights from your data

Connect Placekey#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    placekey: {
      type: "app",
      app: "placekey",
    }
  },
  async run({steps, $}) {
    const data = {
      query: {
        city: [CITY],
        region: [REGION],
        street_address: [STREET_ADDRESS],
        postal_code: [POSTAL_CODE],
        iso_country_code: [ISO_COUNTRY_CODE]  
      },
      options: {
        strict_name_match: false,
      },
    }
    
    return await axios($, {
      method: "post",
      url: `https://api.placekey.io/v1/placekey`,
      headers: {
        "apikey": `${this.placekey.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}