Upfluence API is Acting Like a Toddler: My Custom Fields Keep Disappearing After Influencer Data Synchronization

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Tariq Adebayo Author
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5 days ago Asked
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Okay, so I finally got our custom field mapping to play nice with the Upfluence API. For a glorious moment, I felt like a coding wizard, successfully pushing and pulling data, especially for our internal categorization and project statuses. It was a beautiful thing.

But then, the Upfluence API decided to channel its inner Houdini. Every time we run a full influencer data synchronization, some of our custom fields โ€“ particularly the multi-select dropdowns and date fields โ€“ either completely un-map themselves or, even worse, their previously populated data just vanishes into the ether. It's like Upfluence is saying, 'Oh, you mapped that? Cute. Watch this disappear!' My beautiful mapping efforts feel utterly pointless when the data performs this vanishing act.

Here's what I'm seeing in our console output after a sync, illustrating the problem:

{
  "influencerId": "12345",
  "customFields": {
    "campaign_type": [], // Uh oh, should be ['Brand X', 'Brand Y']
    "last_contact_date": null // Double uh oh, was '2023-10-26'
  }
}

Has anyone else wrestled with this post-influencer data sync Houdini act? Is there some specific API call sequence, or perhaps a secret incantation, to persuade Upfluence to keep its custom field data where it belongs after a full synchronization?

upfluence api custom fields data synchronization

2 Answers

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MD Alamgir Hossain Nahid
Answered 4 days ago
My beautiful mapping efforts feel utterly pointless when the data performs this vanishing act.
It's a classic case of an API behaving like a mischievous child, isn't it? One minute you're a "coding wizard," the next you're troubleshooting a disappearing act worthy of Houdini himself. This particular issue, where custom fields and their data vanish after a full influencer data synchronization, is a common pain point when dealing with certain SaaS platforms and their API implementations. It significantly impacts data integrity and your ability to leverage the platform for effective influencer marketing and overall SaaS growth. Here's a breakdown of what's likely happening and how to address it: The core problem often lies in how the Upfluence API handles `PUT` versus `PATCH` operations, or its internal schema enforcement during a "full synchronization." A full sync might be interpreted by the API as a complete overwrite of the influencer's profile, meaning any custom fields not explicitly included in the sync payload are either nulled out or reset to their default state, regardless of their previous values. Let's tackle this systematically:

  1. Deep Dive into Upfluence API Documentation: Revisit the Upfluence API documentation, specifically sections related to custom fields, influencer profile updates, and synchronization endpoints. Pay close attention to:

    • Update Methodologies: Does Upfluence distinguish between a `PUT` operation (which typically replaces the entire resource) and a `PATCH` operation (which applies partial modifications)? If a full sync uses a `PUT` and you're not sending *all* custom field data in that payload, the missing fields will be overwritten or removed.
    • Custom Field Definition: How are multi-select dropdowns and date fields expected to be defined and updated via the API? Ensure your field definitions align perfectly with their expected types. Sometimes, defining fields manually in the UI versus via the API can lead to subtle inconsistencies during syncs.
    • Sync Endpoint Behavior: Is there a specific endpoint or parameter for an "incremental sync" versus a "full sync"? Understanding this distinction is critical.

  2. Ensure Consistent Field Definition: If your custom fields were initially created through the Upfluence UI, there might be a subtle difference in how the API perceives their schema during a programmatic sync. If the API supports it, try to define (or re-define) your custom fields *through* the API. This ensures the API has full ownership and understanding of the field types and their expected behaviors (e.g., `campaign_type` as an array of strings, `last_contact_date` as a specific date format like ISO 8601 `YYYY-MM-DD`).

  3. Data Structure for Sync Payloads:

    • Multi-selects: For `campaign_type`, ensure that even if there are no selections, you are consistently sending an empty array `[]` and not `null` or omitting the field entirely. The API might interpret `null` or omission as "delete this data."
    • Date Fields: For `last_contact_date`, ensure the date format is always consistent and valid (e.g., `YYYY-MM-DD`). If the API expects a specific timezone or format, adhere to it strictly. Any deviation could cause it to reject or nullify the value.

  4. Implement a Post-Sync Re-population Strategy (Workaround): If changing the fundamental sync behavior of Upfluence's API isn't immediately feasible, consider this robust workaround:

    • After your full influencer data synchronization completes, immediately trigger a secondary API call for each affected influencer.
    • This secondary call should specifically `PATCH` (or `PUT` if `PATCH` isn't available and you're careful) only the custom fields that are prone to disappearing, with their correct data.
    • This ensures that even if the full sync wipes them, your system quickly restores them, maintaining data integrity. While not ideal from a performance perspective (two API calls instead of one), it guarantees your data persists.

  5. Engage Upfluence Support: If the API documentation doesn't provide explicit clarity, or if the problem persists after trying the above steps, open a direct support ticket with Upfluence. Provide them with:

    • Your exact API call sequences for defining fields and performing syncs.
    • The console output snippets showing the data loss.
    • The specific custom field types (multi-select, date) that are problematic.
    They might have internal best practices, known issues, or specific parameters for their API that aren't publicly documented.
Have you confirmed whether your "full influencer data synchronization" is performing a `PUT` or `PATCH` operation on the influencer profiles? Understanding that distinction is often key to resolving these data persistence issues.
0
Tariq Adebayo
Answered 4 days ago

MD Alamgir Hossain Nahid, this is such a brilliant breakdown! You totally nailed it with the "mischievous child" analogy for APIs. Your points about PUT vs. PATCH and the post-sync re-population strategy are gold, I'm sure others dealing with similar Upfluence headaches will find this super useful. Thanks for taking the time to write such a detailed response!

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