Connection Timeout Error - Feature Suggestion about vinted-scraper

[harveycastree]

The tool seems to not be pulling sizes on 'PURCHASED' or 'MARKED AS SOLD' items also, I am not sure if this is something that can be fixed also? Thank you

[Gertje823]

First of all, thank you for opening this issue.
I am unable to reproduce the timeouts you are getting. Is it possible you already send a lot of requests to depop and are therefore being rate limited?

Great idea to add the option to scrape the data only whithout downloading the files. I will implement it soon 😄

About the issue with not pulling the sizes for sold items. I think depop removes the size from the product when it is marked as sold. I looked at a couple sold products, but none of them had the size available. The size is also not displayed on the webpage. If there is a sold product with size, and it is not getting parsed by the tool, could you please send me the url?

[harveycastree]

Hi, thanks for getting back to me so soon!

That's fine, I seem to have it working again now from downloading a fresh Python file, I didn't think I changed anything but it seems I have haha.

And yes, you are right, my mistake, I wasn't aware Depop removes the the sizes after an item is sold.

So I guess this has turned into an enhancement request now... 😄

It would be great to be able to pull some of the more readily available data from the api such as "address", "discountedPriceAmount", "dateUpdated" as well as potentially using "group" and "productType" instead of "categoryId" for categorising the items?

This should enable some good trend analysis of items with location and calendar data.

I have had a go at trying to implement some of these myself but as mentioned before, I am pretty limited when it comes to Python and there's some mistakes I'm making that are not letting me make somewhat seemingly simple changes.

Many thanks!

[Gertje823]

You can now disable file download using -n.
I also added the address, discountedPriceAmount and dateUpdated fields to the database.
And changed categoryId to group and subcatagory to productType