Budget: 2500 UAH Deadline: 3 days
Good day. The stated price proposal is valid only on the condition of ensuring payment for the API from your side. I have already dealt with something similar, I can perform it.
Looking forward to working with you!Process Excel files with approximately 700 thousand rows, transform the file into one where the product name and description will be modified according to the prompt, highlighting new fields such as brand, model, year of manufacture, volume, fuel (if this data is available). I will provide a prompt for file conversion to more suitable freelancers. I am dropping a sample here. The file must be suitable for uploading to the OpenCart website.
Budget: 2500 UAH Deadline: 3 days
Good day. The stated price proposal is valid only on the condition of ensuring payment for the API from your side. I have already dealt with something similar, I can perform it.
Looking forward to working with you!Budget: 2500 UAH Deadline: 10 days
Good day!
I have experience in processing large datasets (Big Data) and automating content through AI APIs. A volume of 700,000 rows requires a professional approach to parsing and structuring so that the file correctly "fits" into the database of your website.
How I will implement your project:
1. Script development: I will write a script in Python that will sequentially send data to the AI based on your prompt to avoid errors and ensure a consistent structure for each row.
2. Attribute parsing: The AI will extract the make, model, year, volume, and fuel type into separate columns. If data is missing in a specific row, the script will leave the field empty or set a default value.
3. Content generation: Reworking titles and descriptions according to your requirements (SEO optimization + readability).
4. Validation for OpenCart: I will prepare the final CSV/XLSX file that fully complies with the OpenCart import structure (correct category IDs, attribute names, field matching).
Test task: I am ready to process the first 50-100 rows for free so you can check the quality of the AI's work based on your prompt.
Budget: 5000 UAH Deadline: 3 days
Good day.
I will complete everything cheaply, quickly, and professionally. I have experience in executing identical projects. I guarantee the quality of the completed work. 👍
Budget: 10000 UAH Deadline: 7 days
Hello, if you simply write a basic script and run all 700k rows through the API line by line, it will take weeks, and the API bill will be astronomical (it could be hundreds or even thousands of dollars). Many people do this, but I do not recommend overpaying where it can be easily avoided.
So I suggest doing it smarter and applying a hybrid approach:
Filtering without the API: First, I will pass your file through a custom analytical core (a script for quick data processing). This will instantly filter out duplicates and extract all obvious data using algorithms. This will cover a significant part of the database completely for free.
Smart use of the API: all the other messy data where the text is dirty and unstructured will be sent to the API.
The data that will go to the API, I will package into large batches through the OpenAI Batch API. This is a special mode that reduces the cost of requests by 50% and is not blocked by limits.
In the end, the script will automatically compile everything into a neat file with the required columns, ready for upload to OpenCart.
If you are interested, I can do a test run for a piece of the file and you will see for yourself how it will work and know the cost of the API for your 700k rows.
Budget: 999 UAH Deadline: 1 day
Good day.
I will complete everything cheaply, quickly, and professionally. I have experience in completing identical projects. I guarantee the quality of the work done.👍
Budget: 4000 UAH Deadline: 1 day
Good day. I am ready to complete this project as I have extensive experience in application development.
Budget: 5500 UAH Deadline: 4 days
Hello.
The file already contains a product CSV with a semicolon separator, 8 columns, HTML in descriptions, URLs, photos, and partially completed fields for brand/category/condition. For OpenCart, a batch pipeline is needed here: reformatting the title and description, extracting brand/model/year/volume/fuel, mapping to the import structure, error control, and output in a format that can actually be uploaded to the store.
I propose the following approach:
agree on the prompt
launch a test batch
fix the field schema for OpenCart
divide the array into chunks with retry and checkpoint
calculate tokens and API costs separately if AI is used for the entire volume
If the prompt includes link navigation and scraping, this needs to be clarified before starting. Such a part affects timelines and budget.
Currently, the estimated price is: 5,500 - 7,000 UAH for the main pipeline without scraping. After receiving the prompt, I can adjust the price based on the actual volume, especially if there will be web scraping or complex extraction rules.
Before starting, please clarify:
the prompt itself
whether scraping by URL is needed
what import format is expected in OpenCart
who covers the tokens/API costs
I will gladly answer all questions in personal messages.
Budget: 6000 UAH Deadline: 2 days
Hello! I have over 5 years of experience in data analysis, specifically in their transformation and preparation for use. I am ready to help you with this task. Please contact me!
Budget: 6000 UAH Deadline: 10 days
Good day. If it is still relevant, please reach out. I can perform it through the DeepSeek API.
Budget: 6500 UAH Deadline: 3 days
Hello. I can process everything through gemini. If it's relevant - write, we will discuss.
Budget: 2500 UAH Deadline: 5 days
Good day! I am ready to write a script in Python (pandas + async) for processing your file to the OpenCart format. However, 700 thousand rows is a large volume for AI. Please clarify, do you provide your API key for text generation, or should the cost of tokens be included in these 2500 UAH?
Budget: 27000 UAH Deadline: 14 days
Hello! I am the project manager of Business Atlas. We specialize in mass data processing through AI, and working with catalogs of 700k+ rows is our core case. I will implement this project "turnkey" using Low-code tools (n8n/Make), which will allow us to quickly and accurately structure your file for OpenCart.
What exactly I will do:
• Automated pipeline: I will set up a script that processes data in batches through AI (GPT-4o/Claude) based on your prompt.
• Intelligent parsing: AI will extract brand, model, year, volume, and fuel into separate columns and create clean titles/descriptions.
• Validation: Checking data for duplicates and correctness before final export.
• OpenCart format: You will receive a ready CSV/XLSX file, fully adapted to your import module.
Project evaluation:
• Cost: $1,500 – $2,500 (depends on the complexity of the prompt and the volume of tokens).
• Timeline: 10–14 working days.
• Support: Assistance with the first upload to the website.
In the photos in my portfolio, you can see examples of processing large databases. Message me privately, I will review the sample and we will get started!
Budget: 10000 UAH Deadline: 1 day
Good day
Considering the number of entries and the cost of tokens, I estimate this work to be a bit more expensive than your offer.
I will complete everything with quality.
Budget: 2000 UAH Deadline: 3 days
Hello! I have reviewed your project and am ready to start working. I guarantee high quality and prompt execution.
Budget: 2000 UAH Deadline: 3 days
Hello. I can do your project. I have experience. Write to me, and we will agree.
Budget: 2500 UAH Deadline: 2 days
Good evening, I am ready to complete it. We will discuss the deadline and price after the full technical specification.
Budget: 1800 UAH Deadline: 1 day
Hello! I can complete this task!!!!!!!!!
Feel free to contact me!!!!!!!!
Budget: 7500 UAH Deadline: 3 days
Hello! Your project requires not just editing, but a systematic approach to Big Data. Processing 700,000 rows manually or through regular Excel is impossible — the file simply will not open or will constantly freeze.
My technical stack for your task:
Processing engine: Python (Pandas library). This allows me to work with data arrays of any size quickly and without losing any rows.
AI transformation: I will set up batch processing through the API of the chosen model (or connect a local LLM Llama 3). This will allow for the automatic extraction of Brand, Model, Year, and other attributes based on your prompt.
Data validation: The script will automatically check for duplicates and the correctness of mandatory fields for OpenCart.
What you will receive as output:
A clean CSV/XLSX file, the structure of which fully complies with the import requirements of your OpenCart setup (fields: model, sku, name, description, attributes).
A processing log file, so you can see the results for each segment.
Ready to do a free test on 100-500 rows right now.
Budget: 10000 UAH Deadline: 5 days
Good day, I am ready to process your file, write to me privately, we will discuss!
Budget: 15000 UAH Deadline: 8 days
Good day.
I am ready to take on this task. I can process Excel/CSV files for OpenCart: reformulate product names and descriptions according to your prompt, highlight specific fields such as brand / model / year / volume / fuel, and prepare a file in a format suitable for further import.
For such a volume, it is important to correctly set up the pipeline from the start: batch processing, logging, error checking, and the ability to resume without losing progress. Also, API costs for AI should be calculated separately.
I am ready to look at a sample file and quickly confirm the final processing scheme after that.
Budget: 10000 UAH Deadline: 3 days
Good day.
With such a volume of data, it is better to evaluate the work correctly in stages. It is optimal to first conduct a test on a part of the file, check the quality of the conversion and format for OpenCart, and only after that launch the entire array.
I'm looking for a specialist to create an MVP system for automating the search for sports and active events, AI processing of information, content approval, and automatic publication. The main source of events for the MVP is Finishers. General logic: Finishers → obtaining data about new events → AI processing and adaptation in Ukrainian → preview and approval by the administrator via Telegram bot → queue → automatic publication in Telegram and Facebook. It is important that in the final publication, the user is directed to the official website of the event/organizer or the official registration page, not to Finishers. Separately, I expect the contractor to propose a solution regarding photos for publications, taking into account automation and rights to use images. Also, before implementation, it is necessary to assess an acceptable and stable method for automated data retrieval from Finishers and possible alternatives in case of access restrictions. Possible stack: n8n, Make.com, OpenAI/Claude, Telegram Bot API, Meta API, Google Sheets/Airtable, or a simple database. I am open to considering other proposals. The architecture should allow for the future addition or replacement of event sources without rebuilding the entire system. MVP budget: approximately $400–600. Deadline: preferably 7–14 days. A detailed technical task with a description of functionality and questions for the contractor is attached as a separate file. In your response, please briefly indicate: — proposed stack; — experience with similar automations; — approach to data retrieval from Finishers; — proposed solution regarding photos; — estimated timeline; — final cost of the MVP. I would be happy to receive not just a cost estimate, but also your suggestions on how to make the system simpler, more reliable, or cheaper to maintain.
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