Cradl AI and LeadBoxer integration
How to connect Cradl AI and LeadBoxer
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 Cradl AI and LeadBoxer integration
Create custom Cradl AI and LeadBoxer 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 Cradl AI
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!
Supported API Endpoints for LeadBoxer
Get companies
Retrieve companies with associated leads based on specified criteria.
Get events
Retrieve your top leads with fine grained filtering criteria.
Get sessions
Retrieve sessions based on specified criteria.
Get leads
Retrieve your leads as per specified criteria.
Add dataset
Adds new dataset to the account.
Remove dataset
Removes the given dataset from the account.
Update form tracking
Updates form tracking of the given dataset.
Update dataset name
Updates human name of the given dataset.
Remove user dataset
To remove association between user and dataset.
List user datasets
To fetch users and their associated datasets for given account
Add user
Adds new user to the account.
Get user datasets
To retrieve datasets for the user.
Get leadscore formula
To retrieve your leadscore formula.
Update leadscore formula
To update leadscore formula.
Remove user
Removes the given user from the account.
Update user name
Updates name of the given user.
Resend user invite
Resends invitation to the specified user.
Update user role
Updates role of the given user.
Check URL validation
Validates the format and availability of a specified URL.
Get reports
Retrieves a list of reports from the dashboard.
To set up LeadBoxer 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 LeadBoxer 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 LeadBoxer official documentation to get a full list of all API endpoints and verify the scraped ones!
Cradl AI and LeadBoxer integration details
FAQ
Can Cradl AI connect with LeadBoxer?
Can I use Cradl AI’s API with n8n?
Can I use LeadBoxer’s API with n8n?
Is n8n secure for integrating Cradl AI and LeadBoxer?
How to get started with Cradl AI and LeadBoxer integration in n8n.io?
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