Add Rows to Dataset Table with Microsoft Power BI API on New Comment Created from NetHunt CRM API

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New Comment Created from the NetHunt CRM API

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Add Rows to Dataset Table with the Microsoft Power BI API

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Getting Started#

This integration creates a workflow with a NetHunt CRM trigger and Microsoft Power BI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Comment Created trigger
1. Connect your NetHunt CRM account
2. Configure timer
3. Select a Folder
Configure the Add Rows to Dataset Table action
1. Connect your Microsoft Power BI account
2. Select a Dataset ID
3. Select a Table Name
4. Configure Rows
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Comment Created on NetHunt CRM

Description:Emit new event for every created comment. [See docs here](https://nethunt.com/integration-api#new-comment)

Version:0.0.1

Key:nethunt_crm-comment-created

View on GitHub

NetHunt CRM Overview#

The NetHunt CRM API provides powerful access to manage customer relationship data programmatically. With this API and Pipedream, you can automate tasks, synchronize customer data across platforms, trigger communications based on customer interactions, and much more. Pipedream's serverless execution model and vast library of app integrations open up a myriad of possibilities for streamlining sales processes and enhancing customer engagement by automating the flow of information between NetHunt CRM and other business tools.

Trigger Code#

import base from "../common/polling.mjs";

export default {
  ...base,
  key: "nethunt_crm-comment-created",
  name: "New Comment Created",
  description: "Emit new event for every created comment. [See docs here](https://nethunt.com/integration-api#new-comment)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    async fetchData(opts) {
      return this.nethuntCrm.listRecentlyCreatedCommentsInFolder(opts);
    },
    emitEvents(data) {
      for (const comment of data) {
        this.$emit(comment, {
          id: comment.id,
          summary: `New comment: ${comment.text}`,
          ts: comment.createdAt,
        });
      }
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
NetHunt CRM	`nethuntCrm`	`app`	This component uses the NetHunt CRM app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Folder	`folderId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

NetHunt CRM uses API keys for authentication. When you connect your NetHunt CRM account, Pipedream securely stores the keys so you can easily authenticate to NetHunt CRM APIs in both code and no-code steps.

In order to obtain your NetHunt API key, log into NetHunt with your Gmail account and find the API key under the NetHunt CRM tab in Settings (click on "Generate" if necessary).
For the email_address field, use the Gmail with Nethunt enabled.

About NetHunt CRM#

NetHunt is a Gmail CRM that brings sales automation and drip campaigns straight to your inbox.

Action#

Add Rows to Dataset Table on Microsoft Power BI

Description:Adds new data rows to the specified table within the specified dataset from My workspace. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows)

Version:0.0.4

Key:microsoft_power_bi-add-rows-dataset-table

View on GitHub

Microsoft Power BI Overview#

The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import powerBi from "../../microsoft_power_bi.app.mjs";

export default {
  key: "microsoft_power_bi-add-rows-dataset-table",
  name: "Add Rows to Dataset Table",
  description: "Adds new data rows to the specified table within the specified dataset from My workspace. [See the documentation](https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-rows)",
  version: "0.0.4",
  type: "action",
  props: {
    powerBi,
    datasetId: {
      propDefinition: [
        powerBi,
        "datasetId",
        () => ({
          addRowsAPIEnabled: true,
        }),
      ],
      description: "Select a Dataset or provide a custom Dataset ID. Note: Only Datasets created via API (Push Datasets) can be added to.",
    },
    tableName: {
      propDefinition: [
        powerBi,
        "tableName",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    rows: {
      propDefinition: [
        powerBi,
        "rows",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.powerBi.addRowsToTable({
      $,
      datasetId: this.datasetId,
      tableName: this.tableName,
      data: {
        rows: this.rows.map((row, index) => {
          try {
            return typeof row === "object"
              ? row
              : JSON.parse(row);
          } catch (err) {
            throw new ConfigurationError(`Error parsing entry index ${index} as JSON: \`${row}\``);
          }
        }),
      },
    });

    $.export("$summary", `Successfully added rows to table "${this.tableName}"`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Microsoft Power BI	`powerBi`	`app`	This component uses the Microsoft Power BI app.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Rows	`rows`	`string[]`	An array of data rows to add to the dataset table. Each element should be a JSON object represented using key-value format.

Action Authentication#

Microsoft Power BI uses OAuth authentication. When you connect your Microsoft Power BI account, Pipedream will open a popup window where you can sign into Microsoft Power BI and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Microsoft Power BI API.

Pipedream requests the following authorization scopes when you connect your account:

offline_accesshttps://analysis.windows.net/powerbi/api/App.Read.Allhttps://analysis.windows.net/powerbi/api/Dashboard.Read.Allhttps://analysis.windows.net/powerbi/api/Workspace.Read.Allhttps://analysis.windows.net/powerbi/api/Dataset.ReadWrite.All

Add Rows to Dataset Table with Microsoft Power BI API on New Comment Created from NetHunt CRM API

Pipedream makes it easy to connect APIs for Microsoft Power BI, NetHunt CRM and 2,700+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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