Browse AI and Landbot integration
Save yourself the work of writing custom integrations for Browse AI and Landbot and use n8n instead. Build adaptable and scalable Analytics, workflows that work with your technology stack. All within a building experience you will love.
How to connect Browse AI and Landbot
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.
Build your own Browse AI and Landbot integration
Create custom Browse AI and Landbot 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.
Supported API Endpoints for Browse AI
Get robot
Retrieve single robot by ID.
Update robot cookies
Update a robot's cookies
List robots
Retrieve list of robots under your account.
Retrieve a single robot
Retrieve single robot by ID.
Update robot cookies
Update a robot's cookies.
Retrieve robot
Retrieve a single robot by ID.
Get all tasks by a robot
Retrieve all tasks associated with a specified robot.
Update cookies for a robot
Update the cookies associated with a specified robot.
Create task
Create a task for a specific robot.
Retrieve task
Retrieve a task's details and captured data.
Delete monitor
Delete a robot's monitor.
List tasks
Retrieve a list of tasks associated with a specific robot.
Get system status
This endpoint provides you with real-time information regarding the operational status of the Browse AI infrastructure.
Get system status
This endpoint provides you with real-time information regarding the operational status of the Browse AI infrastructure.
List tasks
Get all tasks by a robot.
Run a robot
Run a robot via this endpoint.
Retrieve a task
Retrieve a specific task by ID.
List tasks
Retrieve a list of tasks for a specific robot.
List robot's monitors
Retrieve a robot's monitors.
Retrieve a robot's monitor
Retrieve a specific monitor by ID.
Retrieve monitors
Retrieve a robot's monitors list.
Create monitor
Create a new monitor on a robot.
Retrieve monitor
Retrieve a robot's monitor.
List robot's webhooks
Retrieve a robot's webhooks.
Run robot
Run a robot on-demand with custom input parameters.
Get user teams
Retrieve list of teams under user account.
List teams
Retrieves a list of teams.
To set up Browse AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Browse AI to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Browse AI official documentation to get a full list of all API endpoints and verify the scraped ones!
Supported API Endpoints for Landbot
Get channel data
Returns channel data of a specified channel ID.
List channels
Returns your channels data.
Create hook
Creates a message hook for the specified channel
Delete hook
Deletes a specific message hook from a channel
List WhatsApp templates
Returns your WhatsApp templates data.
List whatsapp templates
Returns whatsapp templates to send with more than one channel.
Opt out customer
Delete opt-ins of a specific customer.
Send template
Sends template message to a specific customer.
Delete customer
Deletes a specified customer by ID.
Get customer data
Returns data of a specified customer ID.
List customers
Returns a list of all customers.
Send WhatsApp template
Sends a WhatsApp template to a specified customer.
Send image
Sends an image to a specified customer.
Send location
Sends a location to a specified customer.
Send text
Sends a text message to a specified customer.
Archive customer
Archives a specified customer by ID.
Unarchive customer
Unarchives a specified customer by ID.
Archive customer
Archives a specific customer.
Assign bot to customer
Assigns a specific customer to a specific bot.
Assign customer to agent
Assigns :customer_id to :agent_id
Assign customer to self
Assigns :customer_id to you
Block customer
Blocks :customer_id
Delete customer
Delete customer :customer_id
Send image
Sends an image message to a specific customer by customer_id.
Send location
Sends a location message to a specific customer by customer_id.
Send text message
Sends a text message to a specified customer.
Unarchive customer
Unarchives a specified customer.
Unassign customer
Unassigns a specified customer.
Unblock customer
Unblocks a specified customer.
Delete field
Deletes field :field_name from customer with id :customer_id
Create customer
Create a new customer entry.
Read customer
Read specific customer details by token.
Update customer
Update details for an existing customer by token.
Read customer
Read customer information based on customer token.
Update customer
Update customer details based on customer token.
Create customer field
Creates a new customer field.
Delete customer field
Deletes a specified customer field.
Create message hook
Creates a new message hook for a specific channel.
Change field value
Changes the value of a specified field for a customer.
Get data
Get data of a specific agent by ID.
Send message
Send a message to a customer with a given token.
Send messages
Send messages to the specified webhook URL.
To set up Landbot integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Landbot to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Landbot official documentation to get a full list of all API endpoints and verify the scraped ones!
Browse AI and Landbot integration details
FAQ
Can Browse AI connect with Landbot?
Can I use Browse AI’s API with n8n?
Can I use Landbot’s API with n8n?
Is n8n secure for integrating Browse AI and Landbot?
How to get started with Browse AI and Landbot integration in n8n.io?
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