• Resolved Sribeiro

    (@sribeiro)


    I have a big cvs file (20K+ SKUs) that I am importing. The SKUs, descriptions, pricing, etc etc… are loaded already and ok. The last piece is importing the images associated with the SKUs.

    The issue Im running into is, if a row has multiple image URLs and one of the images does not exist, the importation for that row fails. Even though one or more of the other images do exist.

    Is there a way to suppress this behavior. If there is no setting to make this happen, can anyone think of a way to remove the missing images from the csv file?

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  • Saif

    (@babylon1999)

    Hello @sribeiro,

    Thank you for reaching out!

    You can exclude the whole image column from the import, but not these individual images if that’s what you’re asking for.


    Link to image: https://d.pr/i/uuOPhk



    I suggest trying to clean the CSV file from these faulty links. If you’re comfortable with Python, you can use the CSV library to automate the process. You can check this StackOverflow thread for context.

    You can also explore other ways to achieve the same result by Googling “How can I remove invalid links from a CSV file?”. :?)

    Let us know if you have any other questions.

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