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integrationHTTP Request Tool node
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HTTP Request Tool and Twilio integration

Save yourself the work of writing custom integrations for HTTP Request Tool and Twilio and use n8n instead. Build adaptable and scalable AI, Langchain, Communication, and Development workflows that work with your technology stack. All within a building experience you will love.

How to connect HTTP Request Tool and Twilio

  • Step 1: Set up n8n

  • Step 2: Create a new workflow to connect HTTP Request Tool and Twilio

  • Step 3: Add the first step

  • Step 4: Add the HTTP Request Tool node

  • Step 5: Authenticate HTTP Request Tool

  • Step 6: Add the Twilio node

  • Step 7: Authenticate Twilio

  • Step 8: Configure HTTP Request Tool and Twilio nodes

  • Step 9: Connect HTTP Request Tool and Twilio

  • Step 10: Customize your HTTP Request Tool and Twilio integration

  • Step 11: Save and activate workflow

  • Step 12: Test the workflow

Handling Appointment Leads and Follow-up With Twilio, Cal.com and AI

This n8n workflow builds an appointment scheduling AI agent which can

  • Take enquiries from prospective customers and help them book an appointment by checking appointment availability
  • Where no appointment is booked, the Agent is able to send follow-up messages to re-engage leads.
  • After an appointment is booked, the agent is able reschedule or even cancel the booking for the user without human intervention.

For small outfits, this workflow could contribute the necessary "man-power" required to increase business sales.

The sample Airtable can be found here: https://airtable.com/appO2nHiT9XPuGrjN/shroSFT2yjf87XAox

How it works

  • The customer sends an enquiry via SMS to trigger our workflow. For this trigger, we'll use a Twilio webhook.
  • The prospective or existing customer's number is logged in an Airtable Base which we'll be using to track all our enquries.
  • Next, the message is sent to our AI Agent who can reply to the user and decide if an appointment booking can be made. The reply is made via SMS using Twilio.
  • A scheduled trigger which runs every day, checks our chat logs for a list of prospective customers who have yet to book an appointment but still show interest.
  • This list is sent to our AI Agent to formulate a personalised follow-up message to each lead and ask them if they want to continue with the booking.
  • The follow-up interaction is logged so as to not to send too many messages to the customer.

Requirements

  • A Twilio account to receive customer messages.
  • An Airtable account and Base to use as our datastore for enquiries.
  • Cal.com account to use as our scheduling service.
  • OpenAI account for our AI model.

Customising this workflow

Not using Airtable? Swap this out for your CRM of choice such as hubspot or your own service.

Not using Cal.com? Swap this out for API-enabled services such as Acuity Scheduling or your own service.

Nodes used in this workflow

Popular HTTP Request Tool and Twilio workflows

Twilio Trigger node
OpenAI Chat Model node
Airtable node
Twilio node
+5

Handling Appointment Leads and Follow-up With Twilio, Cal.com and AI

This n8n workflow builds an appointment scheduling AI agent which can Take enquiries from prospective customers and help them book an appointment by checking appointment availability Where no appointment is booked, the Agent is able to send follow-up messages to re-engage leads. After an appointment is booked, the agent is able reschedule or even cancel the booking for the user without human intervention. For small outfits, this workflow could contribute the necessary "man-power" required to increase business sales. The sample Airtable can be found here: https://airtable.com/appO2nHiT9XPuGrjN/shroSFT2yjf87XAox How it works The customer sends an enquiry via SMS to trigger our workflow. For this trigger, we'll use a Twilio webhook. The prospective or existing customer's number is logged in an Airtable Base which we'll be using to track all our enquries. Next, the message is sent to our AI Agent who can reply to the user and decide if an appointment booking can be made. The reply is made via SMS using Twilio. A scheduled trigger which runs every day, checks our chat logs for a list of prospective customers who have yet to book an appointment but still show interest. This list is sent to our AI Agent to formulate a personalised follow-up message to each lead and ask them if they want to continue with the booking. The follow-up interaction is logged so as to not to send too many messages to the customer. Requirements A Twilio account to receive customer messages. An Airtable account and Base to use as our datastore for enquiries. Cal.com account to use as our scheduling service. OpenAI account for our AI model. Customising this workflow Not using Airtable? Swap this out for your CRM of choice such as hubspot or your own service. Not using Cal.com? Swap this out for API-enabled services such as Acuity Scheduling or your own service.

Build your own HTTP Request Tool and Twilio integration

Create custom HTTP Request Tool and Twilio workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Twilio supported actions

Make
Send
Send SMS/MMS/WhatsApp message

FAQs

  • Can HTTP Request Tool connect with Twilio?

  • Can I use HTTP Request Tool’s API with n8n?

  • Can I use Twilio’s API with n8n?

  • Is n8n secure for integrating HTTP Request Tool and Twilio?

  • How to get started with HTTP Request Tool and Twilio integration in n8n.io?

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Why use n8n to integrate HTTP Request Tool with Twilio

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