Development of an automatic converter from YML/JSON to XLS

Budget: 2000 UAH Deadline: 1 day

Hello.

I am a NodeJS developer. I can write a script in JS.

Budget: 5500 UAH Deadline: 7 days

Good day! I have created feeds for Prom, including when the input is YML and the output needs to be XLS via a permanent link. Let me address the bottleneck right away: on weak hosting, a large YML cannot be loaded into memory all at once, so it needs to be parsed in a streaming manner and the file written in chunks; otherwise, it will crash during the largest exports. In JSON, as you mentioned, there is no category tree, so should the category be taken from the product field or mapped with a correspondence table? I will make the web interface for the link and "on order" days simple, with a couple of screens.

Budget: 3500 UAH Deadline: 4 days

Good day, Dmytro!

I am doing a turnkey project: a Python service that pulls your YML/XML and JSON feeds from links, converts them to XLS, and provides the finished file via a direct link. Updates are automatic on a schedule (daily or more frequently), with a separate parameter "On demand / N days" for each input link. I will add a simple web panel to manage the links and settings without coding. Everything works stably on limited hosting—I keep such scripts on my own VPS, requiring minimal resources.

I have already created similar feed converters and automation in Python—I will show a live demo in the chat so you can see both the output XLS format and the panel itself.

One clarification: how many input feeds do you plan to have and what is the approximate volume of products in the largest one? JSON, as I understand, without a category tree—each product as a separate object, so I will map the fields into columns according to your format.

Approximately 3500 UAH, 3-4 days. I am setting a favorable price at the start—I am actively gathering initial reviews. Hosting for auto-updates is a separate small monthly service, which I can take on if desired.

Petro Pankov, BotCraft Group Expand

Budget: 3000 UAH Deadline: 5 days

Good day!
I can create such a tool.

Solution: a small web application or script that schedules the download of YML/JSON from specified links, converts products to XLS, and generates a direct link to the finished file.

What will be implemented:

- adding one or more input URLs for YML/JSON
- separate configuration of the number of days for Availability on order for each link
- automatic XLS updates on a schedule, for example, once a day
- generation of a direct link to the current XLS file
- support for YML with categories and JSON, where products are placed in separate arrays
- easy admin panel for managing links, settings, and manually triggering updates
- optimization for weak hosting: processing in streams or batches, without excessive memory load

To implement this, I will need to receive examples of YML and JSON links, as well as clarify the structure of the final XLS: which specific columns are needed.

This can approximately be done as a separate PHP/Python application on your hosting or as a simple server script with a cron job. I recommend the option with a web interface, as then you will be able to add links and change parameters without editing the code. Expand

Budget: 1200 UAH Deadline: 3 days

Good day. I have been working with Prom for a long time and can create the correct import Excel file. I would like to discuss some details to announce the final cost, indicating an estimate.

Budget: 2000 UAH Deadline: 7 days

Hello, I have worked on several YML/JSON to XLS feed converters for product exports. I implemented auto-updates on a schedule via cron and provided the finished file through a direct link. I optimized parsing for weak hosting, processing feeds with 20,000+ products without memory crashes.

I recommend implementing streaming parsing instead of loading the entire file into memory; this keeps the operation stable on cheap hosting and saves hours on debugging.

Your JSON lacks a category tree, products are in separate arrays, so the question is: which field should be used to match the product with the category in the output XLS? And should the "days on order" value be written in a separate column or in the availability status?

Since you want a web interface for settings, I can build a prototype control panel, and you can see live how it works.

Budget: 2800 UAH Deadline: 1 day

Hello, feel free to contact me, I will complete it in a few hours. I will be happy to help you!

Budget: 4000 UAH Deadline: 4 days

The transformation here is not complicated. The main thing is to ensure that the application does not crash due to memory shortages on large feeds and does not require manual restart after a failed link.

I will create a common product format for YML and JSON, stream processing of large files, an error log, and atomic replacement of the result: until the new file is fully generated, the working link will continue to return the previous version.

I will keep the web interface simple: a list of sources, "days on order" value for each, last update time, status, last error, and a link to the finished file. Updates will be scheduled.

Before starting, two real examples of input feeds and a list of result columns are needed. It is also important to clarify: is the old binary format .xls required, or will the modern .xlsx format, which opens in Excel and has fewer size limitations, be acceptable?

Budget: 3500 UAH Deadline: 1 day

Good day!

I have reviewed your task. I understand the scope of work and possible options for its implementation.

I would be happy to discuss the project details and propose an optimal solution.

Budget: 7000 UAH Deadline: 7 days

An interesting point with JSON without a category tree, when generating XLS, we will either need to take the category from each product's field or keep a flat structure. How would you prefer to see the final file: grouped by categories or just rows in a row?

Regarding YML, will the links be to external feeds (for example, from suppliers), or are these your own files on the server? This is important for the planner because external feeds sometimes change structure without warning, so it's better to build validation in from the start.

As for the deadlines, I estimate about 7 days. I'm ready to discuss the details right here.

Budget: 6000 UAH Deadline: 3 days

Hello, Dmytro! Excellent task on automating the processing of product feeds YML and JSON for Prom.

I am Nina, the IT team manager at Valflow. Valentin will handle the development of the converter and a lightweight web interface. He is a Senior Python developer with extensive experience in data processing automation and generating price lists for marketplaces.

Here’s how we will implement this solution:

1. Lightweight web interface (Python FastAPI):
We will create a simple and intuitive control panel where you can add new YML and JSON sources, set the number of days for the Backorder status for each link, and copy ready direct links to XLS.

2. Automatic generation and scheduling:
We will set up background file updates on a schedule (daily at a time convenient for you). We will also add a button for instant manual restart of the conversion.

3. Optimization for limited hosting resources:
We will write an algorithm with streaming data processing and economical use of memory so that the script runs quickly and stably even on the most budget servers.

Development cost: 6,000 UAH.
Deadline: 3 days.

We are ready to review examples of your YML and JSON files and get started! Expand

Budget: 1500 UAH Deadline: 2 days

Good day, I am a student and I would be happy to gain commercial experience. I will complete everything at the highest level and in a short time!

Budget: 2000 UAH Deadline: 1 day

Hello. My name is Vladimir, I am a Python and Node.js developer, as well as the founder of the engineering agency Vaysed. I have thoroughly studied your task of developing an application for automatic conversion of product feeds YML and JSON into XLS format for the Prom.ua platform. I understand that the key requirement is stable operation of the generator on a resource-limited hosting, the presence of a convenient web interface, and the ability to customize the "On order" status for different links.

To implement this project, I propose using an optimized architecture in Python. To meet the strict memory limits of cheap hosting, we will build the core of the converter on lightweight libraries: streaming reading with lxml will allow processing huge YML files without loading them entirely into memory, while built-in JSON modules will quickly parse product arrays. The web interface for managing supplier links, setting the number of days "On order," and copying ready direct links to XLS will be implemented using the fast FastAPI framework. Automatic table updates will be triggered by the system scheduler Cron — this means that the script will consume server resources only during conversion, and at other times will simply serve a static XLS file.

I have relevant experience working with product data arrays and e-commerce. While developing the Vaysed Shop web application, I worked closely with catalog architecture and databases. And while creating the Lumos system, I designed a reliable asynchronous parser that operates as efficiently and smoothly as possible with external sources.

You can view my portfolio at the link: Freelancehunt

I suggest discussing the approximate volume of products in your source files and the technical specifications of your hosting in private messages.

Budget: 8000 UAH Deadline: 5 days

Good day! We have experience in automating data processing and integration with marketplaces. We implement this through a Python script using the pandas and openpyxl libraries, which will parse YML/JSON, create an XLS structure, and export the finished file via a direct link. We are ready to ensure the stable operation of the parser considering the specifics of the formats.

Budget: 1200 UAH Deadline: 7 days

Good evening!

For this task, it is better to build a lightweight Python service with separate modules: loading sources from links, normalizing data structure, generating XLS, and a separate storage layer for finished files with direct links. On limited hosting, it is wiser to do this without a heavy framework, using cron jobs and a minimal number of dependencies to avoid memory and execution time issues.

From a technical standpoint, the key point here is not the conversion itself, but the transformation rules: how the fields from YML and JSON are mapped, which values are considered in stock/backordered, and how the file should be managed between updates. If there are multiple sources, it is better to lay out the configuration for each URL separately from the start; otherwise, problems with support and data synchronization will arise later. Another risk is different JSON schemas and possible changes in the source files, so the parser needs to be built with validation and error logging, not just "read and dump."

For stable operation, we would suggest storing settings in SQLite or in a simple config, and the finished XLS in a separate directory with automatic cleanup of old versions. A web interface is appropriate here only as a control panel for sources, scheduling, and parameters, without unnecessary complexity. If the promotion has strict requirements for the XLS structure, it is better to fix this before development to avoid remapping after the first test file.

In terms of timelines, such a project usually takes 7–14 working days after agreeing on the format of input and output data. For an accurate estimate, we need examples of one YML and one JSON, an example of the expected XLS, and clarification on whether the "Availability Backordered" parameter should be placed in a separate column or in a specific field of the promotion.

Budget: 3000 UAH Deadline: 2 days

Good day. I will take on your converter, setting up automatic processing of YML and JSON with flexible parameters for product availability. I will complete everything in three days. Please let me know which hosting is planned for placement so I can correctly set up the update schedule. I would be happy to receive your feedback, I will answer all questions, and we can clarify the project details more accurately. I will gladly help.

Budget: 3000 UAH Deadline: 4 days

Good day
I can create it as a program that will be hosted on a rented Windows Server (VPS). The interface with settings will be in the program's window.

Budget: 2000 UAH Deadline: 2 days

Hello. If Python is not essential, I can do it in PHP within a day, at most two, feel free to reach out. It will work on a regular shared hosting.

Budget: 5000 UAH Deadline: 5 days

Good day. Yes - I can create it as a desktop or console application for Windows. I need an example of input and output files.

Budget: 4000 UAH Deadline: 3 days

Hello.

I can implement a turnkey solution. I have experience in developing similar services: processing XML/YML/JSON, generating Excel, working with cron, automatic data updates, and creating simple administrative interfaces.

Budget: 8000 UAH Deadline: 3 days

Hello. I can implement this project. If it's relevant, write to me, and we will discuss.

Budget: 3000 UAH Deadline: 5 days

Get a ready-made converter with a web interface, automatic scheduled updates, and a direct link to XLS — without manual work with files.

I will implement it on FastAPI with deployment in Docker. Parsing YML/JSON considering the structure without a category tree, generating XLS via openpyxl, storing files with a public URL. For each input link — a separate setting for the number of days "On order" through a simple web interface. Scheduled updates via a built-in scheduler or cron.

The application is optimized for limited hosting resources: asynchronous processing via asyncio, minimal memory consumption, stable operation on budget VPS. I have created similar data processing and transformation pipelines with subsequent file delivery via link — the architecture is proven.

We will clarify the final cost after discussing the details: the format of input files, the volume of data, hosting requirements. Write to me — we will sort out the details and start quickly.

Budget: 2200 UAH Deadline: 3 days

Dmitry, regarding Prom, there is a moment: the update via the link in Import occurs once a day; the system does not read the file more frequently. A daily cron from your side is already the maximum useful frequency; there is no point in chasing a more frequent update. I will use Python: I parse YML using lxml, JSON (without a category tree, products as separate arrays) is stitched with the category by a field from the feed itself, days for "On order" as a separate parameter for each link. The cron is within the same process, without external services, exporting to XLS via openpyxl, delivered via a direct link. For weak hosting, I collect it in a stream, not loading the entire feed into memory at once.

Please send a sample YML and JSON; I will run the first build on them and show it before payment. 2200 UAH, the profile is new, I need the first review, so not higher. 3 working days after the samples. Do you upload this XLS to Prom via Import through the link, or does it go somewhere else?

Budget: 3000 UAH Deadline: 3 days

Curious, interesting. I would take it for 3000 hryvnias. And in a couple of days. It would be nice to see the website for which this will be done.

Budget: 1000 UAH Deadline: 1 day

I can develop a script or lightweight application that automatically converts YML or JSON files into XLS format and generates a direct link for downloading the output file. The solution will include a scheduler for daily updates and a settings panel where you can specify the number of days for "availability on demand" for each data source. I will ensure stable operation of the application on hosting with limited resources and minimal server load. The web interface will be simple and intuitive for managing all configurations. Please share example files so I can provide more accurate timelines and cost estimates.

Budget: 6500 UAH Deadline: 5 days

Hello. I will implement a converter YML/JSON → XLS with processing of each product, setting the "On order" term separately for each input link, and daily updates on schedule. I will create a simple web interface for adding feeds and parameters, and the finished XLS will be available via a permanent direct link; I will provide logs and secure error handling considering limited hosting. The first step is to check one example of YML and JSON and document the field schema before development. Please let me know if there is a ready-made template for XLS columns and what the maximum size/number of product feeds is? The cost is 6,500 UAH, and the deadline is 5 days after receiving the examples.

Budget: 3500 UAH Deadline: 4 days

Ready to take on your job and complete it in the shortest possible time with potential further adjustments of the script on the hosting.

Budget: 5000 UAH Deadline: 6 days

You need a service that automatically retrieves YML and JSON from links and provides a ready XLS at a permanent direct link for Prom.

I will do it in Python. For YML, it will be a parser with a category tree, and for JSON, a separate handler, where each product is in its own array. The XLS will be generated and overwritten on a schedule, while the link remains the same. In the web interface, you can add input links and set the number of days for the status "On order" for each. I will make the processing stream-based so that everything works on hosting with limited memory. I will add logs and notifications when the feed is unavailable.

I will start by looking at the structure of your files. Write to me, we will discuss the details, and I will get to work.

Budget: 700 UAH Deadline: 1 day

Good day.
There is already ready code in NODE JS.
If you have any questions, you can write to me in private messages.

Budget: 5000 UAH Deadline: 5 days

I have developed similar functionality for a converter from xls to xml with direct links, as mentioned in the reviews, and it has been working for over a year.

I will write a similar service for you that can either convert manually or automatically and provide direct links.

A universal converter will not be possible; if a new file format needs to be processed, adaptation will be required.

Details can be discussed in private messages, and the price is negotiable.

Budget: 3500 UAH Deadline: 5 days

Good day.

I am ready to create a service/script: YML or JSON → XLS for Prom with auto-updating and a direct link to the file.

Portfolio: https://gooru-lab.github.io/portfolio/

What I will do:
• input: YML or JSON from your URLs (JSON — products in separate arrays, without a category tree);
• output: XLS in the format for Prom + direct link to the file;
• auto-updating on a schedule (e.g., daily);
• for each input link — the parameter "days Availability On order";
• lightweight operation on weak hosting (cron + minimal resources);
• simple web interface for settings (links, schedule, days "on order").

Please clarify: how many input URLs are there currently and if there is a sample of the required XLS for Prom. Deadline: approximately 3–5 days after receiving file examples. Expand

Budget: 2000 UAH Deadline: 1 day

Good evening! I am ready to make such a converter today!!! Feel free to contact me!!!

Budget: 18000 UAH Deadline: 7 days

Good day!

I can develop a web application that will automatically convert YML and JSON to XLS with the generation of a permanent link to the finished file for Prom.ua.

The functionality will include:

support for importing from YML and JSON;
automatic generation of XLS in the required format;
generation of a permanent link to the file;
automatic updates on a schedule (cron);
configuration of the number of days for the "On order" status separately for each source;
a simple web panel for managing links and settings;
optimization for operation even on budget hosting. Expand

Budget: 12000 UAH Deadline: 5 days

Hello!

I am ready to develop an application for automatic conversion of YML/JSON to XLS with subsequent generation of a direct link to the file.

What will be implemented:

* Support for YML and JSON via URL.
* Automatic loading and processing of files on a schedule (cron).
* Generation of XLS in a format suitable for Prom.
* Permanent direct link to the current XLS file.
* Ability to set the number of days for the "On order" status separately for each input link.
* Convenient web panel for managing links and settings.
* Optimization for operation on standard virtual hosting with minimal resource consumption.
* Error logging and monitoring of update success.

I will develop it in PHP using MySQL, without heavy dependencies, so the solution is fast, stable, and easily transferable to any hosting.

Cost: **12,000–18,000 UAH** (depends on the exact XLS format for Prom and the number of additional requirements).

Deadline: **5–7 days**.

I would be happy to review examples of input YML/JSON and the required XLS format to immediately assess all nuances. Expand

Budget: 18000 UAH Deadline: 7 days

There is almost a ready-made solution for converting product feeds, and it can be quickly adapted for Prom - the benchmark for such a module is 7 days and from 18,000 UAH, if without unnecessary bureaucracy.

In terms of implementation, I see this as a lightweight web service - a list of input links in YML or JSON, configuration of days for Availability On Order for each link, daily updates on a schedule, generation of XLS, and a direct link to the current file.

An important point - for weak hosting, it's better to process in a queue and not keep everything in memory; otherwise, a large feed can crash the script at the most inconvenient moment.

Please clarify the approximate size of the feeds - how many products and how many input links are planned at the start?

Another question - should the XLS for Prom repeat a specific column template, or can we build the structure according to their requirements and your logic of availability?

We have similar experience in e-commerce and data automation.

https://business.ingello.com/eva - automation and systematic work with retail data.

https://business.ingello.com/prime-eva - close in logic to processing product data and processes.

https://systems-fl.ingello.com - the main landing page of Ingello Systems for the exchange.

From my feelings, we can keep it simple - first, create a stable converter with a settings panel, and then, if desired, add AI checks for broken titles, categories, and suspicious prices to catch fewer errors manually. Expand

Budget: 1500 UAH Deadline: 1 day

Good day! Write in private messages, we will discuss the details, accesses... Thank you...

Budget: 27000 UAH Deadline: 14 days

Ready to create an automatic converter YML/JSON → XLS with direct link generation for the file and daily updates. It is important to consider memory limits and execution time on the hosting for large feeds. Please send a couple of examples of input files and a sample of the desired XLS, and also clarify: should the value of days for "In Stock on order" be set separately for each input link or as a single parameter, and is a public direct link needed or a link with access by authorization?

Budget: 5000 UAH Deadline: 5 days

Need a tool that pulls YML/JSON from links on a schedule, parses them, and delivers a ready XLS with a direct link.

I will create it in Python: a Flask application with a simple web interface where links and the number of days "On order" for each can be set. YML parsing will be done using lxml, JSON with the standard json, and exporting to XLS with openpyxl. The APScheduler will update files according to a cron schedule within the same process without external dependencies, which is important for limited hosting. The generated XLS will be saved on the server, and the interface will show a direct link for download.

Risk: YML feeds can have non-standard category structures, so I will implement flexible field mapping through a config to avoid rewriting code when changing suppliers.

How many input links are planned, and is there already an example of a YML/JSON feed to assess the data structure?

Budget: 1500 UAH Deadline: 3 days

Hello! I will implement on FastAPI + APScheduler: asynchronous loading of YML/JSON via httpx, parsing in pandas, generating XLS (openpyxl), and delivering via a static link. The settings for "Made to Order" days and the schedule are stored in SQLite, with management through a web interface on the same backend. I will package it in Docker to save resources on the VPS.

I have experience building similar pipelines: scheduler, transforming large feeds into tables, and distributing files with limited memory.

What is the expected volume of products in one feed (number of rows) and the typical size of the source file — is streaming reading needed without fully loading into memory?

Budget: 2000 UAH Deadline: 1 day

Good afternoon
I am ready to discuss the details in private messages
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Budget: 1000 UAH Deadline: 1 day

Hello. I have carefully reviewed the task of creating an automated converter for YML/JSON files to XLS. For implementation, I propose developing a lightweight, efficient architecture that will ensure stable data processing with minimal resource consumption, including optimized parsing of input data and high-performance generation of XLS files with dynamic consideration of availability parameters. The system will include a reliable scheduling mechanism for automatic updates and generation of direct links, with built-in monitoring and error handling tools. I have significant experience in developing similar integration solutions and ready modules to accelerate implementation. I suggest discussing all implementation details, final budget, and timelines in private messages.

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)

Budget: 5000 UAH Deadline: 5 days

Ready to develop a script for converting YML/JSON to XLS with automatic updates. I will consider the requirements for working on limited hosting and will add a web interface for managing settings.