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 BrandMentions and Chaindesk 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.
Search mentions
Creates a search job that can be queried for results.
Retrieve mentions
Retrieves the complete result of search jobs executed on the spot.
List projects
Allows you to get the list of projects in the user's account.
Create project
Allows you to create a new project that is saved in the user account and processed daily.
Delete project
This command allows you to delete a project.
Get project mentions
This command allows you to retrieve all saved mentions of a project in a paginated manner.
Get project influencers
This command allows you to retrieve all influencers of a project in a paginated manner.
Run project historical
This command allows you to run historical data retrieval for a project.
Get remaining credits
Allows you to get the number of credits left in the account.
Get processed mentions
Allows you to retrieve the partial result of search jobs executed on the spot.
To set up BrandMentions 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 BrandMentions 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 BrandMentions official documentation to get a full list of all API endpoints and verify the scraped ones!
Get conversations
Retrieve a list of conversations.
Get conversations
Retrieve a list of conversations.
Get messages
Retrieve messages within a conversation.
Get messages
Retrieve a list of messages in a conversation.
Query agent
Query specific information about an agent.
Create agent
Create a new agent in the system.
Get agent
Retrieve detailed information about a specific agent.
Delete agent
Remove an agent from the system.
Query agent
Submit a query to an agent.
Create agent
Create a new agent.
Get agent
Retrieve information about a specific agent.
Update agent
Update details of an existing agent.
Delete agent
Remove an agent from the system.
Create datasource
Create a new data source in the system.
Get datasource
Retrieve information about a specific data source.
Delete datasource
Remove a data source from the system.
Create datasource
Create a new data source.
Get datasource
Retrieve details of a specific data source.
Delete datasource
Remove a data source from the system.
Query datastore
Query specific information about a datastore.
Create datastore
Create a new datastore in the system.
Get datastore
Retrieve information about a specific datastore.
Delete datastore
Remove a datastore from the system.
Query datastore
Submit a query to the datastore.
Create datastore
Create a new datastore.
Get datastore
Retrieve information about a specific datastore.
Update datastore
Update details of an existing datastore.
Delete datastore
Remove a datastore from the system.
To set up Chaindesk 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 Chaindesk 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 Chaindesk official documentation to get a full list of all API endpoints and verify the scraped ones!
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