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 ParseHub 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.
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 Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
Get project
Retrieve details of a specific project.
Run project
Initiate a run for a specific project.
List all projects
Retrieve a list of all projects.
Get project
Retrieve details about a specific project using its token.
Run project
This will start running an instance of the project on the ParseHub cloud.
List projects
This gets a list of projects in your account
Get last ready data
Returns the data of the last ready run for a project.
Get run
Retrieve details of a specific run.
Get data for run
Retrieve data for a specific run.
Get last ready data
Retrieve the last ready data from a run.
Cancel run
Terminate a specific run.
Delete run
Permanently delete a specific run.
Get run
Retrieve a specific run by its token
Get run data
Returns the data that was extracted by a run.
Cancel run
This cancels a run and changes its status to cancelled.
Delete run
This cancels a run if running, and deletes the run and its data.
To set up ParseHub 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 ParseHub 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 ParseHub official documentation to get a full list of all API endpoints and verify the scraped ones!
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