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.
Create custom Cradl 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.
List appClients
Retrieve a list of app clients.
Retrieve appClient
Get details of a specific app client by ID.
List appClients
Retrieves a list of app clients.
Delete appClient
Deletes an existing app client by ID.
Update app client
Modify the details of a specific app client.
List assets
Retrieve a list of assets.
Retrieve asset
Get details of a specific asset by ID.
Get assets
Retrieve a list of assets.
Delete asset
Remove the specified asset from the collection.
Get asset
Retrieve a specific asset by its ID.
List datasets
Retrieve a list of datasets.
List datasets
Retrieve a list of all datasets.
Delete dataset
Deletes a dataset specified by its ID.
Get dataset transformations
Retrieves transformations for a specific dataset specified by its ID.
List documents
Retrieve a list of documents.
Delete documents
Delete specific documents based on provided criteria.
Create document
Uploads a new document to the system.
Get document
Retrieve a specific document by its ID.
List models
Retrieve a list of models.
List models
Retrieve a list of models.
Delete model
Delete a specified model by its ID.
Get model
Retrieve a model by its ID.
List data bundles for model
Retrieve data bundles associated with a specific model.
List data bundles
Retrieves a list of data bundles for a specific model.
Delete data bundle
Deletes a specific data bundle for a model.
List users
Retrieve a list of users.
List workflows
Retrieve a list of workflows.
Options transformations
Retrieve options for transformations of a specific dataset.
Create transformations
Create transformations for a specific dataset based on provided operations.
Delete transformation
Delete a specific transformation by its ID from a dataset.
List deployment environments
Retrieve a list of deployment environments.
Get deploymentEnvironment
Retrieve details of a specific deployment environment by ID.
Delete document
Deletes a document by its ID.
List logs
Retrieve a list of logs with optional filters.
Get log
Retrieve a specific log by its ID.
To set up Cradl 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 Cradl AI to query the data you need using the API endpoint URLs you provide.
These 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 Cradl AI official documentation to get a full list of all API endpoints and verify the scraped ones!
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.
These 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!
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