Analyze Call with Bland AI API on New Blog Posts from HubSpot API

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New Blog Posts from the HubSpot API

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Analyze Call with the Bland AI API

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Getting Started#

This integration creates a workflow with a HubSpot trigger and Bland AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Blog Posts trigger
1. Connect your HubSpot account
2. Configure timer
Configure the Analyze Call action
1. Connect your Bland AI account
2. Select a Call ID
3. Configure Goal
4. Configure Questions
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 Blog Posts on HubSpot

Description:Emit new event for each new blog post.

Version:0.0.16

Key:hubspot-new-blog-article

View on GitHub

HubSpot Overview#

The HubSpot API enables developers to integrate into HubSpots CRM, CMS, Conversations, and other features. It allows for automated management of contacts, companies, deals, and marketing campaigns, enabling custom workflows, data synchronization, and task automation. This streamlines operations and boosts customer engagement, with real-time updates for rapid response to market changes.

Trigger Code#

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

export default {
  ...common,
  key: "hubspot-new-blog-article",
  name: "New Blog Posts",
  description: "Emit new event for each new blog post.",
  version: "0.0.16",
  dedupe: "unique",
  type: "source",
  hooks: {},
  methods: {
    ...common.methods,
    getTs(blogpost) {
      return Date.parse(blogpost.created);
    },
    generateMeta(blogpost) {
      const {
        id,
        name: summary,
      } = blogpost;
      const ts = this.getTs(blogpost);
      return {
        id,
        summary,
        ts,
      };
    },
    getParams(after) {
      return {
        limit: 100,
        createdAfter: after, // return entries created since event last ran
      };
    },
    async processResults(after, params) {
      await this.paginate(
        params,
        this.hubspot.getBlogPosts.bind(this),
        "results",
      );
    },
  },
};

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
HubSpot	`hubspot`	`app`	This component uses the HubSpot app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

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

business-intelligencecrm.lists.readcrm.lists.writecrm.objects.companies.readcrm.objects.companies.writecrm.objects.contacts.readcrm.objects.contacts.writecrm.objects.deals.readcrm.objects.deals.writecrm.objects.quotes.readcrm.objects.quotes.writecrm.objects.owners.readcrm.schemas.companies.readcrm.schemas.companies.writecrm.schemas.contacts.readcrm.schemas.contacts.writecrm.schemas.deals.readcrm.schemas.deals.writecrm.schemas.quotes.readconversations.readcrm.importfilesformsforms-uploaded-filesintegration-syncoauthtimeline

About HubSpot#

HubSpot's CRM platform contains the marketing, sales, service, operations, and website-building software you need to grow your business.

Action#

Analyze Call on Bland AI

Description:Analyzes an input call, extracting structured data and providing insights. [See the documentation](https://docs.bland.ai/api-v1/post/calls-id-analyze)

Version:0.0.1

Key:bland_ai-analyze-call

View on GitHub

Bland AI Overview#

The Bland AI API offers a suite of artificial intelligence services, which, when integrated with Pipedream, can automate tasks, analyze data, and enhance applications with machine learning capabilities. Through Pipedream's serverless platform, you can connect Bland AI with various apps to create custom workflows, process data, and respond to events in real time without managing infrastructure.

Action Code#

import blandAi from "../../bland_ai.app.mjs";

export default {
  key: "bland_ai-analyze-call",
  name: "Analyze Call",
  description: "Analyzes an input call, extracting structured data and providing insights. [See the documentation](https://docs.bland.ai/api-v1/post/calls-id-analyze)",
  version: "0.0.1",
  type: "action",
  props: {
    blandAi,
    callId: {
      propDefinition: [
        blandAi,
        "callId",
      ],
    },
    goal: {
      propDefinition: [
        blandAi,
        "goal",
      ],
    },
    questions: {
      propDefinition: [
        blandAi,
        "questions",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.blandAi.analyzeCall({
      $,
      callId: this.callId,
      data: {
        goal: this.goal,
        questions: this.questions?.map?.((str) => typeof str === "string"
          ? JSON.parse(str)
          : str),
      },
    });
    $.export("$summary", "Call analyzed successfully");
    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
Bland AI	`blandAi`	`app`	This component uses the Bland AI app.
Call ID	`callId`	`string`	Select a value from the drop down menu.
Goal	`goal`	`string`	This is the overall purpose of the call. Provides context for the analysis to guide how the questions/transcripts are interpreted.
Questions	`questions`	`string[]`	An array of questions to be analyzed for the call. Each question should be an array with two elements: the question text and the expected answer type. Examples: `["Who answered the call?", "human or voicemail"]`, `["Positive feedback about the product: ", "string"]`

Analyze Call with Bland AI API on New Blog Posts from HubSpot API

Pipedream makes it easy to connect APIs for Bland AI, HubSpot and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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