I am programming a file organizer in python, so i have a bunch of word documents that were downloaded from google drive, i need the sharelink of drive from this documents so my question is if there is a way to get this sharelink from the metadata of the document.
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How do I retrieve all content from a file (e.g., all text from a document) using google drive API programmed python?
I couldn't find much about text extraction, but what I did manage to find was I could only extract specific word's from a document.
I have a google sheet with a column of URLs to other google sheets, each of which could either be a native google sheet or an excel file uploaded to the Drive. All the files are stored in my work Google Drive, so the share link provides access for anyone within the company.
My research revealed several ways to access individual Google Drive files or all files in a particular directory, but I'm hoping to find a way to access hundreds of other file URLs and read each of them (and their tabs) to a separate pandas dataframe.
I could go through the process of creating shortcuts for each of the files to a folder on my drive and go the "pull in everything from this directory" route, but before I subject myself to the tedium I thought I'd put myself out there and ask.
i am new in the world of programming and python. I have a small flask app that consists of a form that ask users to upload a certain document. That document i then store into a variable in my python script called
file_upload = request.files['filename']
I want to send this same file storage into a folder i have in google drive.
The problem i am having is that every tutorial that i see is uploading files from a path in their computers, but i havent seen one that doesnt use a folder path.
(btw i am using GOOGLE APP ENGINE which doesnt allow me to store the file first to a directory and then to google drive)
Does anyone have a working sample in Github or other link that demonstrates the use of Aspose Word Cloud (https://products.aspose.cloud/words) in NodeJS or Python? Case scenario.. you have a MS Word file with content "Hello World". Your demo will upload the .docx file to Aspose Cloud, replace the text content to "How are you, Universe?" and download the .docx file.
https://github.com/aspose-words-cloud contains Cloud SDK for Node.js. Please check postReplaceText Unit Test that explains how to replace document text using Aspose.Words API.
Hope this helps!
I want to write a program building a database of my audio file in google drive. The language is python. Does anyone know of a method to retrieve audio metadata of file from google drive api? What I want to do is using the id of the file from google drive api,I want to load the file into memory and use Mutagen to load the metadata. My problem is how to load the file from google drive api. If possible also, I would like to load only a part of the file containing the metadata but not the audio itself. From my understanding also, I am not sure it mutagen can load file already in memory.
Nop. It's not possible using the Drive API.
Metadata in files.get() is the best you can get from the API. For accessing further information about a file in Drive like audio metadata, you will have to download the entire file and proceed with the local copy.
You can obtain the metadata of a file from your Google Drive using Files.get. You can try it here in the API Explorer. In the fields section, click "Use fields editor" and tick "all" so it returns all info about the file.
This is what Drive has to offer. Some audio metadata may not be available as Drive was not built for that niche.