Integrate the Zoho Catalyst API with the Python API

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

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Popular Zoho Catalyst and Python Actions#

Detect Objects in Image with the Zoho Catalyst API

Detect or recognize objects in an image. 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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Extract Text from Image with the Zoho Catalyst API

Extract text from an image. See the documentation

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Perform Face Detection and Analysis with the Zoho Catalyst API

Perform face detection and analysis on an image. See the documentation

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Perform Image Moderation with the Zoho Catalyst API

Perform image moderation on an image. See the documentation

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Overview of Zoho Catalyst#

Zoho Catalyst is a cloud-based backend for building and hosting serverless applications. With its API, you can create, read, update, and delete records in Catalyst Data Store, run Catalyst Functions, manage files in Catalyst File Store, and orchestrate various backend processes. Integrating Zoho Catalyst with Pipedream allows you to seamlessly connect these backend operations with other services and automate workflows. For example, you can trigger a function when you receive an email, process data from webhooks, or sync information between Zoho Catalyst and other platforms.

Connect Zoho Catalyst#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_catalyst: {
      type: "app",
      app: "zoho_catalyst",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.zoho_catalyst.$auth.base_api_uri}/baas/v1/project`,
      headers: {
        "Authorization": `Zoho-oauthtoken ${this.zoho_catalyst.$auth.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}}

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