Hello! I’m new to the community and not a really technical person, so maybe it will be just a stupid question I made my first workflow that gets a csv file from nextcloud, imports it, makes an excel out of it and the last part (with which I struggle with) is with saving it to my computer.
There is no error message, the node runs successfully, I just doesn’t find the file to the path I give for it. I tried to do it with a “Read/Write Files from Disk” and a “Write Binary File” node too, but I was not successful with either.
Maybe it’s important to mention, that the host machine is not mine. I created an account and can join just by VPN. As the workflow itself contains sensitive information, now at first I would just prefer sharing some screenshots from the last nodes (which I would use to download the excel).
Hey @mapatinagy The data will be saved on the host machine where n8n is installed not on your machine. This is why you can’t find it.
You better consider using a cloud storage service (like Google Drive or Dropbox) to store the Excel file, which avoids directly saving sensitive information on the host machine.
Thank you for the reply @Ruslan_Yanyshyn ! First I tried to save it to the nextcloud but it didn’t work for me either that’s why I tried to save it to my computer. My credential authentication is surely working as I could import the initial csv from there, but how can I upload it back there? To any file paths I just get 404 error if I use the nextcloud node, but if I use https (tried GET and PUT too, I’m not a technical person ) I get 405 error. For file path I tried to use first the simple URL and next time tried to use the share URL as well (for the import just the share URL with adding “/download” to the end of it. Can I get some help how to configure it?
in case your n8n is self-hosted via docker compose on a local machine (is it?!), you have to work with the docker path that is mapped to a folder in the local file system. It will most likely be /data/shared to work with in n8n and \shared on the machine that it is running on. If in doubt, you can look up the configuration in the docker-compose.yml file.
I would recommend you to watch this video to get an idea of the concept.