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DataProcessor
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11 months ago
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Missing data when connecting Azure Data Factory to Hubspot

I am trying to get data from the contacts table into a microsoft fabric lakehouse. I first created a public app with all the scopes it would need to access I got the credentials and successfully created a linked service in Azure Data Factory to hubspot. I then created a dataset for the contacts table, following which created a copy activty to copy all the data to my lakehouse table. I followed this documentation 

https://learn.microsoft.com/en-us/azure/data-factory/connector-hubspot?tabs=data-factory

I am only getting the firstname, lastname and emails. All of the other columns are null. Quite a few are missing as well, despite being present in the mapping. According to the documentation, the conncetor only requests the default contact properties rather than the full set, and I need to specify the properties I want. This is what hubspot support is telling me:

 

  • In your Azure Data Factory HubSpot source (Linked Service/Dataset), locate the option to specify properties (often an “Additional properties/fields” or “Query parameters” setting).

Where can I find this setting? I am unable to locatre it in ADF.

Thank you!

  • Hi DataProcessor,

     

    You’re hitting a known gap: the native ADF “HubSpot” connector doesn’t expose a UI field to pass the properties= list that HubSpot’s v3 CRM APIs require. As a result, you only get the default contact properties (e.g., firstname, lastname, email) and everything else comes back null.


    Use the ADF REST connector (not the HubSpot connector) and call HubSpot’s Contacts API directly, adding your desired fields via the properties query parameter. Example endpoint:
    /crm/v3/objects/contacts?properties=firstname,lastname,email,jobtitle,company,phone&limit=100&archived=false
    Configure REST pagination using the $.paging.next.link cursor and map the results to your Fabric Lakehouse.

     

    If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.

3 Replies

  • Hi DataProcessor,

     

    You’re hitting a known gap: the native ADF “HubSpot” connector doesn’t expose a UI field to pass the properties= list that HubSpot’s v3 CRM APIs require. As a result, you only get the default contact properties (e.g., firstname, lastname, email) and everything else comes back null.


    Use the ADF REST connector (not the HubSpot connector) and call HubSpot’s Contacts API directly, adding your desired fields via the properties query parameter. Example endpoint:
    /crm/v3/objects/contacts?properties=firstname,lastname,email,jobtitle,company,phone&limit=100&archived=false
    Configure REST pagination using the $.paging.next.link cursor and map the results to your Fabric Lakehouse.

     

    If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.

  •  

    The native HubSpot connector in Azure Data Factory does not currently expose a UI field to specify custom contact properties. To retrieve more than the default fields (firstname, lastname, email), you need to use the REST connector and call HubSpot’s Contacts API directly.

     

    Why You're Seeing Missing Data

    The HubSpot connector in ADF only pulls default contact properties unless you explicitly specify additional fields. However, the connector’s UI does not support setting the properties= parameter required by HubSpot’s v3 CRM API. That’s why fields like job title, company, and phone are coming back as null—even though they exist in HubSpot and are mapped in your dataset.

     

    Recommended Solution: Use REST Connector Instead

    Step-by-Step:

     

    • Create a REST Linked Service in ADF instead of using the HubSpot connector.
    • Use HubSpot’s v3 Contacts API endpoint:

       

       

       

      GET /crm/v3/objects/contacts?properties=firstname,lastname,email,jobtitle,company,phone&limit=100&archived=false

       

      1. Configure pagination using the $.paging.next.link cursor.
      2. Map the results to your Lakehouse table using a Copy Activity.

        This approach allows you to specify exactly which fields you want and bypasses the limitations of the native connector.

    DataProcessor

  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi DataProcessor,

     

    Thank you for reaching out to the Microsoft Fabric Forum Community, and special thanks to tayloramy and anilgavhane  for prompt and helpful responses.

     

    Just following up to see if the Response provided by community members were helpful in addressing the issue.

    If one of the responses helped resolve your query, please consider marking it as the Accepted Solution. Feel free to reach out if you need any further clarification or assistance.

     

    Best regards,
    Prasanna Kumar