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 Chatling and Pipefy 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 chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling 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 Chatling 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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
Create card
Creates a new card in the specified pipe.
Import cards
Imports multiple cards to the specified pipe.
Delete card
Deletes a card by its ID.
Move card to phase
Moves a card to a specified phase.
Update card
Updates an existing card
Lookup card by ID
Lookup a card by its ID
Fetch group of cards
Fetches a group of cards based on arguments
Fetch cards importer history
Lookup the cards importer history by the pipe ID
Fetch cards based on inputs
Fetch cards based on fields' inputs
Create comment
Creates a comment on a specific card.
Delete comment
Deletes a specific comment.
Create label
Creates a new label in the specified organization.
Delete label
Removes a specific label.
Update label
Modifies the attributes of a label.
Create organization
Creates a new organization.
Delete organization
Deletes a specific organization.
List organizations
Endpoint for retrieving a list of organizations.
Create phase
Creates a new phase within a specified pipe.
Delete phase
Removes a specific phase from a pipeline.
Create pipe
Creates a new pipe.
List pipes
Endpoint for retrieving a list of pipes.
Create table
Creates a new table in the specified organization.
Delete table
Deletes a specific table.
List database tables
Endpoint for retrieving a list of database tables.
Create table record
Creates a new record in the specified table.
Create webhook
Creates a new webhook for the specified organization.
Delete organization webhook
Deletes a specific webhook for an organization.
Update webhook
Updates an existing webhook.
Create webhook
Endpoint for creating webhooks to receive real-time updates.
Delete field condition
Removes a specific field condition.
Delete inbox email
Deletes an inbox email configuration.
Delete pipe
Deletes a specific pipe.
Remove user from organization
Removes a user from a specified organization.
List users
Endpoint for retrieving a list of users.
Set role
Assigns a specific role to a user.
Update field condition
Updates an existing field condition.
Create card relation
Establishes a relationship between two cards.
Update record
Updates details of a specific record.
Create authentication
Endpoint for creating authentication tokens.
Create service account
Endpoint for creating service accounts for authentication.
Create personal access token
Endpoint for creating personal access tokens for user authentication.
Example query
An example endpoint for making GraphQL requests.
Import records
Endpoint for importing records into the system.
Import cards
Endpoint for importing cards into the system.
Import records
Endpoint for importing records into the system.
Create organization webhook
Endpoint for creating webhooks specific to organizations.
Create pipe and table webhook
Endpoint for creating webhooks for pipes and tables.
List table records
Endpoint for retrieving a list of records for a specific table.
To set up Pipefy 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 Pipefy 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 Pipefy official documentation to get a full list of all API endpoints and verify the scraped ones!
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