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SiteSpeakAI

Automate your customer support with ChatGPT. SiteSpeakAI helps you create a custom trained AI powered support chatbot for your business or website.

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HTTP / Webhook

Integrate the SiteSpeakAI API with the HTTP / Webhook API

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

Popular Ways to Connect SiteSpeakAI with HTTP / Webhook

Send Query with SiteSpeakAI API on New Requests from HTTP / Webhook API
HTTP / Webhook + SiteSpeakAI
 
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Send Query with SiteSpeakAI API on New Requests (Payload Only) from HTTP / Webhook API
HTTP / Webhook + SiteSpeakAI
 
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Send any HTTP Request with HTTP / Webhook API on New Lead Created from SiteSpeakAI API
SiteSpeakAI + HTTP / Webhook
 
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Send GET Request with HTTP / Webhook API on New Lead Created from SiteSpeakAI API
SiteSpeakAI + HTTP / Webhook
 
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Send POST Request with HTTP / Webhook API on New Lead Created from SiteSpeakAI API
SiteSpeakAI + HTTP / Webhook
 
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Popular SiteSpeakAI and HTTP / Webhook Triggers

New Lead Created from the SiteSpeakAI API

Emit new event when a new lead is created in SiteSpeakAI. See the documentation

 
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New Requests from the HTTP / Webhook API

Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

 
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New Requests (Payload Only) from the HTTP / Webhook API

Get a URL and emit the HTTP body as an event on every request

 
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New event when the content of the URL changes. from the HTTP / Webhook API

Emit new event when the content of the URL changes.

 
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Popular SiteSpeakAI and HTTP / Webhook Actions

Send Query with the SiteSpeakAI API

Queries your chatbot and returns the answer and URLs used to find the answer. See the documentation

 
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Send any HTTP Request with the HTTP / Webhook API

Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.

 
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Send GET Request with the HTTP / Webhook API

Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Send POST Request with the HTTP / Webhook API

Send an HTTP POST request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Send PUT Request with the HTTP / Webhook API

Send an HTTP PUT request to any URL. Optionally configure query string parameters, headers and basic auth.

 
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Overview of SiteSpeakAI

SiteSpeakAI is a versatile API that brings voice to your digital spaces. You can use it to convert text into lifelike spoken audio in various languages and dialects. With Pipedream, you can automate and integrate this capability into various workflows, reacting to events, processing data, and connecting with other APIs or services. Whether to enhance user experience with voice responses, create audio content dynamically, or provide accessibility features, SiteSpeakAI opens up a world of audio interaction possibilities.

Connect SiteSpeakAI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sitespeakai: {
      type: "app",
      app: "sitespeakai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sitespeak.ai/v1/me`,
      headers: {
        Authorization: `Bearer ${this.sitespeakai.$auth.api_token}`,
      },
    })
  },
})

Overview of HTTP / Webhook

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Connect HTTP / Webhook

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// To use any npm package on Pipedream, just import it
import axios from "axios"

export default defineComponent({
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "GET",
      url: "https://pokeapi.co/api/v2/pokemon/charizard",
    })
    return data.species
  },
})

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