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: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request Tool and Twilio integration: Create a new workflow and add the first step

Step 2: Add and configure HTTP Request Tool and Twilio nodes

You can find HTTP Request Tool and Twilio in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request Tool and Twilio nodes one by one: input data on the left, parameters in the middle, and output data on the right.

HTTP Request Tool and Twilio integration: Add and configure HTTP Request Tool and Twilio nodes

Step 3: Connect HTTP Request Tool and Twilio

A connection establishes a link between HTTP Request Tool and Twilio (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

HTTP Request Tool and Twilio integration: Connect HTTP Request Tool and Twilio

Step 4: Customize and extend your HTTP Request Tool and Twilio integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request Tool and Twilio with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

HTTP Request Tool and Twilio integration: Customize and extend your HTTP Request Tool and Twilio integration

Step 5: Test and activate your HTTP Request Tool and Twilio workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request Tool to Twilio or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

HTTP Request Tool and Twilio integration: Test and activate your HTTP Request Tool and Twilio 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

2024-10-22 Updated to Cal.com API v2.

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

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 2024-10-22 Updated to Cal.com API v2. 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.