spreadr's comments

Fantastic! I cannot thank you enough for this feedback.

I am adding all of the 6 points that you have raised in our roadmap to be developed in the near term.

Thats great feedback. We do not yet have this option. I am adding it to your to-do list.

Currently, once the users upload the file, they have the option to delete any rows that they do not want, by clicking the remove button in the widget itself. Once the data is clean they can submit the file.

If you configure chunk size = 1 then the data will be pushed one row at a time.

Thanks for writing. We do have that option. You can even configure the chunk size that defines the number of rows to be pushed in each POST request.

Its a bootstrapped startup :)

Your point is well taken. We will upgrade in the future.

Thank you!

Flatfile is a fantastic service. In fact, I was one of their early users.

1. We are focused on indie developers and startups. Our pricing is reflective of that. 2. csvbox is a no code widget. The entire column model and validation requirements can be defined in the app admin without the need to write a single line of code.

PapaParse is a great library for parsing csv files. Whereas csvbox.io is a no code widget that can directly we installed on your site to help you get started in minutes.

PapaParse has no built is validations. With csvbox you can define a data model in the admin. The users can match columns, validate data and submit the file without you having to write a single line of code.

Thank you for your feedback. Our costs are a function of number of rows processed and the total imports. We factored that in the pricing.

We will soon be introducing plans with higher row limits as well.

Thats a great question. We handle most of it, except:

1. Escaping in csv 2. Month names will be treated as string.

This has got us thinking for more such scenarios. Thank you!

We do not yet have a self-hosted version. Its in the development pipeline for sure.

Corrected. Thank you :)

Thank you!

Absolutely, I hated building importers and more so, maintaining them!

Thank you for your feedback. We are already testing for higher limits and will soon introduce/update plans accordingly.

Thank you! I am already using it in 3 of my other apps.

Corrected now :)

Thanks. It does allow editing the cell data before file is submitted.

The app validates the spreadsheet data against the data model rules configured by the developer and shows the errors to the users. The users can edit the data in the widget itself to resolve the validation errors before submitting the file. This ensures that the submitted data is clean and ready-to-use.

Hello All, I'm Tejas Sangoi.

I have been developing Shopify apps for the past 5 years. Currently working on a new project csvbox.io to solve a common problem that I have faced many times.

There have been many applications where we needed to accept spreadsheets from the end customers. Building an importer from scratch is time consuming and maintaining it is another headache. Moreover, the import process for the customers is messy because they have to read the docs and follow the upload templates. In many cases, after long support email threads we ultimately have to manually accept, clean and input the data.

As a solution I built the csvbox.io import widget. Its a no code, drop-in widget that allows you to accept files in minutes. Users can upload files, match columns, validate data all in a few clicks. You receive ready to use data in your app. A better experience for your customers, fewer headaches for your team!

I launched it only a few days ago. Happy to receive feedback on everything - UI/UX, features, pricing etc.