Algolia

Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast Search and Discovery experiences.

Integrate the Algolia API with the Python API

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

Create Objects with the Algolia API

Adds an array of JavaScript objects to the given index. See docs here

 
Try it
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.

 
Try it
Delete Objects with the Algolia API

Delete objects from the given index. See docs here

 
Try it

Overview of Algolia

Algolia provides a powerful API that lets you build scalable, fast search
applications. Here are some examples of what you can build with Algolia:

  • A fast, relevant search engine for your website or application
  • A autocomplete feature for your search bar
  • A searchable database for your products or inventory
  • A searchable customer directory for your CRM

Connect Algolia

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
import algoliasearch from "algoliasearch";

export default defineComponent({
  props: {
    algolia: {
      type: "app",
      app: "algolia",
    }
  },
  async run({steps, $}) {
    const client = algoliasearch(this.algolia.$auth.application_id, this.algolia.$auth.api_key);
    return await client.listIndices()
  },
})

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

1
2
3
4
5
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}}