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integrationHTTP Request Tool node

Airtable and HTTP Request Tool integration

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

How to connect Airtable and HTTP Request Tool

  • Step 1: Set up n8n

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

  • Step 3: Add the first step

  • Step 4: Add the Airtable node

  • Step 5: Authenticate Airtable

  • Step 6: Add the HTTP Request Tool node

  • Step 7: Authenticate HTTP Request Tool

  • Step 8: Configure Airtable and HTTP Request Tool nodes

  • Step 9: Connect Airtable and HTTP Request Tool

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

Create custom Airtable and HTTP Request Tool 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.

Airtable supported actions

Get Many
List all the bases
Get Schema
Get the schema of the tables in a base
Create
Create a new record in a table
Create or Update
Create a new record, or update the current one if it already exists (upsert)
Delete
Delete a record from a table
Get
Retrieve a record from a table
Search
Search for specific records or list all
Update
Update a record in a table

FAQs

  • Can Airtable connect with HTTP Request Tool?

  • Can I use Airtable’s API with n8n?

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

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

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

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Why use n8n to integrate Airtable with HTTP Request Tool

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