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| Marketplace | C2C DB Connection

C2C DB Connection

1.0.0 0
This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.

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Machine Overview
  • Machine Name : C2C DB Connection
  • Title : C2C DB Connection
  • Short Description :
    This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.
  • Detail Description : This machine functions as part of an automated workflow to prepare daily social media content for processing. It begins by determining the current date and uses this information to initiate a request for scheduled tasks that are planned for that specific day. Once the schedule data is retrieved, it verifies the response and ensures that the list of tasks is valid and accessible. If successful, it logs the amount of content scheduled and stores it for use in later steps of the workflow. The machine is structured to handle potential errors gracefully and ensures that only clean, structured data proceeds to the next stage. While the machine itself does not alter or analyze the content, it plays a critical role in feeding downstream components with the correct input. Its primary objective is to collect and relay day-specific scheduling data. The overall flow includes receiving the date, preparing the request, handling the response, and forwarding the relevant data. This enables other automated units to act based on accurate, timely information. It ensures smooth coordination between the planning and execution stages of a content delivery system. The design is modular, making it easy to plug into larger content automation pipelines. Through proper logging and data handling, the machine contributes to the reliability and traceability of the overall system.
  • Machine Document : -
Classification
  • Industry : IT
  • Category : Health Care
  • Sub Category : -
Compatibility and Dependencies
  • Dependent Machines : -
  • Compatible Machines : -
  • Version : 1.0.0
Specifications
  • Input Specification : Download

    No input Required

  • Output Specification : Download

    This object contains details of a scheduled social media post.

    list (Array): A collection of scheduled posts.
    schedule_id (Number): Unique identifier for the schedule.
    association_id (Number): Identifier linking the post to an associated entity.
    association_type_term_name (String): Type of entity associated with the post (e.g., doctor, clinic).
    schedule_date (String): The date on which the post is scheduled.
    schedule_status (Number): The current status of the schedule (e.g., 0 = Pending, 1 = Success, 2 = Failed).
    is_upload_fb (Number): Indicates whether the post should be uploaded to Facebook (1 = Yes, 0 = No).
    is_upload_insta (Number): Indicates whether the post should be uploaded to Instagram.
    is_upload_google (Number): Indicates whether the post should be uploaded to Google Business.
    created_at (String): Timestamp when the schedule was created.
    created_by (Number): User ID of the creator of the schedule.
    full_image_url (String): URL to the image associated with the post.
    tags (Array of Strings): Hashtags to be used in the post.
    caption (String): Text caption accompanying the post.
    user_id (Number): User ID of the person associated with the post.
    file_type (String): MIME type of the file (e.g., image/png).
    social_media_pages (Array): List of social media pages where the post should be uploaded (currently empty).
     

Infrastructure Requirement
  • OS Requirement : Linux
  • CPU : 1
  • Cloud : AWS
  • RAM : 2Gi
Usage Stats
  • Total OnBoarded : -
  • Active OnBoarding : -
Parameter Name Type Description
noDataFound

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noDataFound

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July 17, 2025

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noDataFound

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This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.

View Similar

noDataFound

Data Not Found

Specifications
  • Input Specification : Download

    No input Required

  • Output Specification : Download

    This object contains details of a scheduled social media post.

    list (Array): A collection of scheduled posts.
    schedule_id (Number): Unique identifier for the schedule.
    association_id (Number): Identifier linking the post to an associated entity.
    association_type_term_name (String): Type of entity associated with the post (e.g., doctor, clinic).
    schedule_date (String): The date on which the post is scheduled.
    schedule_status (Number): The current status of the schedule (e.g., 0 = Pending, 1 = Success, 2 = Failed).
    is_upload_fb (Number): Indicates whether the post should be uploaded to Facebook (1 = Yes, 0 = No).
    is_upload_insta (Number): Indicates whether the post should be uploaded to Instagram.
    is_upload_google (Number): Indicates whether the post should be uploaded to Google Business.
    created_at (String): Timestamp when the schedule was created.
    created_by (Number): User ID of the creator of the schedule.
    full_image_url (String): URL to the image associated with the post.
    tags (Array of Strings): Hashtags to be used in the post.
    caption (String): Text caption accompanying the post.
    user_id (Number): User ID of the person associated with the post.
    file_type (String): MIME type of the file (e.g., image/png).
    social_media_pages (Array): List of social media pages where the post should be uploaded (currently empty).
     

Updates and Community

Machine Developer

BotCraft Engineers
  • Last Updated
  • July 17, 2025
  • Version
  • 1.0.0
Version History

Statistics

Total Workflows
0
Active Workflows
0
Success Rate
N/A
Last Used in Workflow
N/A

Categories

Health Care

Support

Average Response Time 8AM-8PM