Back to integrations
Databricks and ParseHub integration
Save yourself the work of writing custom integrations for Databricks and ParseHub and use n8n instead. Build adaptable and scalable Data & Storage, workflows that work with your technology stack. All within a building experience you will love.
How to connect Databricks and ParseHub
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 Databricks and ParseHub integration
Create custom Databricks 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.
Databricks supported actions
Execute Query
Execute a SQL query and wait for results
Create Directory
Create a directory in volume
Delete Directory
Delete a directory in volume
Delete File
Delete a file from a volume
Download File
Download file content from a volume
Get File Metadata
Get file metadata from a volume
List Directory
List directory contents in volume
Upload File
Upload a file (up to 5 GiB) to Databricks volumes
Create Conversation Message
Create a new conversation message
Execute Message SQL Query
Execute a SQL query from a message attachment
Get Conversation Message
Get a conversation message by ID
Get Genie Space
Get details of a Genie space
Get Query Results
Get results of a SQL query execution
Start Conversation
Start a new conversation
Query Endpoint
Query a serving endpoint. The input format is automatically detected from the endpoint schema.
Create Catalog
Create a new catalog
Create Function
Create a new function
Create Table
Register a new table
Create Volume
Create a new volume
Delete Catalog
Delete a catalog
Delete Function
Delete a function
Delete Table
Delete a table
Delete Volume
Delete a volume
Get Catalog
Get catalog information
Get Function
Get function information
Get Table
Get table information
Get Volume
Get volume information
List Catalogs
List all catalogs
List Functions
List functions in schema
List Tables
List tables in schema
List Volumes
List volumes in schema
Update Catalog
Update catalog information
Create Index
Create a new vector search index
Get Index
Get details of a vector search index
List Indexes
List all vector search indexes
Query Index
Query a vector search index with text or vectors
Supported API Endpoints for ParseHub
GET
Get project
Retrieve details of a specific project.
/v2/api/projects/get
POST
Run project
Initiate a run for a specific project.
/v2/api/projects/run
GET
List all projects
Retrieve a list of all projects.
/v2/api/projects/list
GET
Get project
Retrieve details about a specific project using its token.
/api/v2/projects/{PROJECT_TOKEN}
POST
Run project
This will start running an instance of the project on the ParseHub cloud.
/api/v2/projects/{PROJECT_TOKEN}/run
GET
List projects
This gets a list of projects in your account
/api/v2/projects
GET
Get last ready data
Returns the data of the last ready run for a project.
/api/v2/projects/{PROJECT_TOKEN}/last_ready_run/data
GET
Get run
Retrieve details of a specific run.
/v2/api/runs/get
GET
Get data for run
Retrieve data for a specific run.
/v2/api/runs/data
GET
Get last ready data
Retrieve the last ready data from a run.
/v2/api/runs/last_ready_data
POST
Cancel run
Terminate a specific run.
/v2/api/runs/cancel
DELETE
Delete run
Permanently delete a specific run.
/v2/api/runs/delete
GET
Get run
Retrieve a specific run by its token
/api/v2/runs/{RUN_TOKEN}
GET
Get run data
Returns the data that was extracted by a run.
/api/v2/runs/{RUN_TOKEN}/data
POST
Cancel run
This cancels a run and changes its status to cancelled.
/api/v2/runs/{RUN_TOKEN}/cancel
DELETE
Delete run
This cancels a run if running, and deletes the run and its data.
/api/v2/runs/{RUN_TOKEN}
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.
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 ParseHub official documentation to get a full list of all API endpoints and verify the scraped ones!
Databricks and ParseHub integration details
Databricks
Related categories
FAQs
FAQ
Can Databricks connect with ParseHub?
Can I use Databricks’s API with n8n?
Can I use ParseHub’s API with n8n?
Is n8n secure for integrating Databricks and ParseHub?
How to get started with Databricks and ParseHub integration in n8n.io?
The world's most popular workflow automation platform for technical teams including
Why use n8n to integrate Databricks with ParseHub
Build complex workflows, really fast
