mfr - Field Service Management icon

mfr - Field Service Management

Field service management app for scheduling technicians.

Actions20

Company → Get Many

AI-generated

Overview

This node operation fetches multiple company records from the mfr Field Service Management system using the OData API. It supports fetching all results or a limited number of companies, with options to filter, expand related fields, and set a maximum number of results. This is useful for scenarios where you need to retrieve a list of companies for reporting, integration, or further processing within an automation workflow.

Use Case Examples

  1. Retrieve all companies without limit to process in a workflow.
  2. Fetch up to 50 companies with expanded related contacts and tags for detailed data analysis.
  3. Filter companies by specific criteria such as location or name using OData filter syntax.

Properties

Name Meaning
Fetch All Results Whether to fetch all company records ignoring the limit parameter.
Additional Fields Additional query options such as expand related entities, filter conditions, and limit on the number of results.

Output

JSON

  • id - Unique identifier of the company.
  • Name - Name of the company.
  • Location - Location details of the company.
  • MainContact - Main contact information associated with the company.
  • Contacts - List of contacts related to the company.
  • ServiceObjects - Service objects associated with the company.
  • Tags - Tags assigned to the company.

Dependencies

  • Requires an API key credential for authentication with the mfr Field Service Management API.

Troubleshooting

  • Common issues include API authentication failures due to invalid or missing credentials. Ensure the API key credential is correctly configured.
  • Incorrect OData filter or expand syntax may cause API errors. Validate filter and expand parameters according to OData documentation.
  • Fetching all results may lead to long execution times or timeouts if the dataset is very large. Consider using limits or filters to reduce data volume.

Links

Discussion