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Schedule Entry → Get a Schedule Entry
AI-generatedOverview
This node operation retrieves a specific schedule entry from a project (bucket) in Basecamp. It is useful for scenarios where you need to fetch detailed information about a particular schedule entry by specifying the project ID and the entry ID. For example, it can be used to get the details of a meeting or event scheduled within a project.
Use Case Examples
- Fetch details of a schedule entry by providing the project ID and entry ID to display or process the event information.
- Use the node to integrate schedule entry data into other workflows or reporting tools.
Properties
| Name | Meaning |
|---|---|
| Project ID | The ID of the project (bucket) used in the API endpoint path to specify which project the schedule entry belongs to. |
| Entry ID | The ID of the schedule entry used in the API endpoint path to specify which schedule entry to retrieve. |
| Return Full Response | Whether to return the full HTTP response including status code, headers, and body instead of only the response body. |
| Request Options | Additional options for the HTTP request such as batching, SSL certificate validation, proxy settings, and timeout configuration. |
Output
JSON
id- The unique identifier of the schedule entry.content- The main content or description of the schedule entry.startsAt- The start date and time of the schedule entry.endsAt- The end date and time of the schedule entry.location- The location where the schedule entry is scheduled to take place.creator- Information about the user who created the schedule entry.createdAt- The timestamp when the schedule entry was created.updatedAt- The timestamp when the schedule entry was last updated.
Dependencies
- An API key credential for Basecamp OAuth2 authentication
Troubleshooting
- Ensure that the Project ID and Entry ID are correct and correspond to existing resources in Basecamp to avoid 'not found' errors.
- If the node returns an error related to SSL certificate validation, consider enabling the 'Ignore SSL Issues' option if appropriate.
- Timeout errors can occur if the server is slow to respond; increase the timeout setting if necessary.
- If batching is enabled, ensure that batch size and interval settings are configured properly to avoid request throttling issues.