Parsing products from supermarkets

Budget: 4000 UAH Deadline: 7 days

Hello,
- At the moment, I support the parsing system I developed, which covers over 20 websites and collects prices for over 30,000 products every day into a Google spreadsheet.
- I can show an example during a call because the spreadsheet is not open.
- 4,000
- 7 days
- js

Budget: 3500 UAH Deadline: 2 days

Hello. I am ready to implement a parser in Python + Playwright. Feel free to contact me.

Budget: 3000 UAH Deadline: 5 days

Good day. I have dealt with something similar. A recommendation from personal experience - instead of Google Sheets, it is better to use a full-fledged database with a web interface. Considering the limitations of Google Sheets, you may run into limits when scaling the project.

Budget: 2000 UAH Deadline: 7 days

Hello, I have worked on data parsing from e-commerce platforms for automatic collection of product information and price monitoring with updates every 4 hours, processing over 50,000 items.

What product categories are most prioritized for you, and do you need integration with supermarket APIs or just web parsing?

I suggest we get in touch; I will provide you with a free technical consultation and we can create a development plan + I will tell you about my team! ✨

Budget: 777 UAH Deadline: 1 day

Good afternoon. We are currently developing a project like this: https://uff.org.ua/ We are ready to discuss the terms of long-term cooperation with you.

Budget: 12000 UAH Deadline: 7 days

Hello! I see that most proposals focus on classic HTML page parsing for supermarkets. As an engineer, I categorically do not recommend this approach: modern sites like Silpo and NOVUS are built on dynamic rendering (SPA). Parsing their HTML requires running heavy browsers (Selenium/Playwright), which works slowly and, most importantly, breaks with the slightest change in the site design or CSS class names.
Since you plan to use this table as a single database for the site, Telegram bot, and box calculations, I propose a professional, fault-tolerant business solution.

My technical solution:

1. Working through internal APIs: Instead of unstable HTML parsing, I will set up operations through the internal JSON endpoints of the supermarkets' APIs (the same ones used by their mobile applications). They are not dependent on site designs, do not change for years, and return clean data (name, brand, price, photo) in milliseconds. This guarantees the system will operate for years without failures.
2. Intermediate database (Protection from Rate Limit): If your site or bot makes direct requests to Google Sheets every time, Google will quickly block requests due to limits (HTTP 429 Too Many Requests). I will create a standalone core in PHP with a local database (PostgreSQL/MySQL). The bot and site will read data from the database instantly, while Google Sheets will be a mirror for your convenience.
3. Two-way synchronization with Google Sheets:
• A scheduled script (CRON) reads new product links you manually added from your table.
• It queries the supermarkets' APIs, collects fresh prices and stock.
• It updates the local database and uploads the current snapshot back to Google Sheets via the official API v4.
4. Location consideration: The API allows passing the ID of a specific store in the chain, so prices will always be accurate for your region.

Project details:
• Stack: PHP (OOP, CLI), Guzzle, Google Sheets API v4, PostgreSQL/MySQL, CRON.
• Cost: 12,000 UAH (for the complete architecture: parsers for 3 chains via API, database design, two-way synchronization with Sheets, server setup, and protection).
• Implementation time: 6-7 days.

You will receive a ready, scalable infrastructure that can easily withstand catalog expansion and the integration of any external services.

I suggest moving to private messages to discuss the link structure and create a reliable system for your business! Expand

Budget: 2500 UAH Deadline: 4 days

Hello. I have experience in data parsing using Python and databases. I can complete your task both in Google Sheets and in any other database.

To fulfill the order, I plan to use Python to write a parser that will add new products to the table and periodically check the prices of already existing products in the table via the link.

I can complete this order within 4 days for a price of 2500 hryvnias.

Budget: 3000 UAH Deadline: 7 days

Hello! I have experience developing scrapers for Ukrainian e-commerce platforms using Python (requests, BeautifulSoup, Playwright). Integration with Google Sheets via gspread is a standard part of my projects.

Regarding technologies:

- Parsing with Playwright for JS sites (Silpo, Novus), processing through BeautifulSoup
- Scheduled updates with cron or APScheduler
- Google Sheets with gspread + service account
- The structure is designed for adding new stores without rewriting the code

Estimated timeline is 5-7 days. The exact cost will be discussed after clarifying the details for each store. The structure of the sites affects the complexity.

Budget: 5000 UAH Deadline: 1 day

Good day. I am ready to complete this project and have extensive experience in developing various applications.

Budget: 700 UAH Deadline: 1 day

Good day, An!
In general, the task is clear, but to provide an accurate response regarding deadlines and pricing, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.

Budget: 2000 UAH Deadline: 1 day

Hello!

Parsing with auto-updating in Google Sheets is our specialized area, and we have similar projects in our portfolio. The task is fully understood, and I will outline how we will implement it.

What we will collect for each product:
title, brand, weight/volume, current price, link, image, category, source store — all in a single table according to your structure (SKU | Category | Title | Brand | Weight | Price | Store | Link | Image | Update Date).

How it will work:

- separate parsers for Silpo, ATB, and NOVUS (~200 products at the start);
- recording and updating in Google Sheets via the official Google Sheets API;
- auto-updating on a schedule (1-2 times a day) — when the price changes on the website, it automatically pulls into the table without manual actions;
- structure with room for growth: easy to add/remove products, change categories, and connect new supermarkets in the future.

Technology for reliable long-term operation (your question):
parsers in Python + scheduled execution via cron on VPS (or serverless cloud function) + recording in Sheets via API. This setup works for years without intervention. An important point from experience: supermarkets most often provide prices through their internal JSON APIs — we parse those, not HTML, so the data is accurate and collection is stable, without breaking when the layout changes.

Looking ahead: Google Sheets is excellent as a single source for the website, Telegram bot, and box calculations. We will design the architecture so that when scaling to thousands of products, we can transition to a full-fledged database (PostgreSQL) without reworking, leaving Sheets as a showcase — to avoid hitting limits in the future.

We have similar parsing systems with auto-updating in our portfolio — we will show them in private. I will provide an approximate cost and timeline after a brief check of three websites (the complexity of collection depends on this), but it will be a turnkey and long-term solution.

Details about the project and consultation — in private. We are ready to start. Expand

Budget: 3500 UAH Deadline: 2 days

Good day! I have done a similar parser for Rozetka with synchronization to Google Sheets and a parser for Prom through the internal GraphQL, both in my portfolio. There is a closed project on freelance Regular data collection from Rozetka - 3000 UAH. I will pull data through the internal APIs of the sites. If the API is closed, I will use browser emulation. Cron on VPS, gspread for spreadsheets.

Deadline: 2 days. Budget: 3500 UAH.
Contact me, we will agree.

Budget: 2000 UAH Deadline: 2 days

Ready to take it on. I have some developments for Silpo.
Need to clarify the order details, write to me!
The price is indicated for 1 site. But overall, we need to study the site and evaluate separately.
I use Python, UV, GitHub, Docker.

Budget: 2000 UAH Deadline: 7 days

Good day!

I am ready to implement a project for automatic collection and updating of prices from Silpo, NOVUS, and ATB with export to Google Sheets.

I will implement product collection, automatic price updates on a schedule, synchronization with Google Sheets, and a scalable structure for adding new stores and products in the future.

I work in Java, have experience in web scraping, automation, and integration with the Google Sheets API.

I am ready to discuss the details and estimate the completion time.

Budget: 3000 UAH Deadline: 5 days

Ready to promptly and qualitatively fulfill your order. I have experience working with similar projects, always adhere to deadlines and technical specifications. I will be glad to collaborate!

Budget: 2000 UAH Deadline: 3 days

Good day.

I am ready to implement a system for automatic collection and updating of prices from the supermarkets Silpo, NOVUS, and ATB with data export to Google Sheets.

I have significant experience in parsing products, prices, stock levels, characteristics, images, and creating automated catalog update systems for online stores, marketplaces, and internal databases.

I envision the project implementation as follows:

✔ Creation of a unified Google Sheets product database with the structure:

SKU | Category | Name | Brand | Weight | Price | Store | Link | Image | Update Date

✔ Filling the initial catalog with approximately 200 products by obtaining:

* product name;
* brand;
* weight or volume;
* current price;
* product link;
* image;
* category;
* source store.

✔ Setting up automatic data updates on a schedule (1-2 times a day or more frequently as needed).

✔ Automatic price updates in Google Sheets when the price changes on the supermarket's website.

✔ Possibility for further scaling:

* adding new products;
* removing products;
* changing categories;
* connecting new supermarkets without reworking the system.

For long-term and stable operation, I recommend implementing a separate service in Python using the Google Sheets API and a task scheduler. This approach is significantly more reliable than manual updates or formulas in spreadsheets, as it allows for error control, maintaining an update log, and quickly adapting to changes on store websites.

Technologies:

* Python;
* Google Sheets API;
* Playwright or Requests (depending on the data source);
* Task scheduler (Cron);
* Logging and error control.

I can also additionally implement:

* notifications about price changes;
* price change history;
* API for the website and Telegram bot;
* formation of product sets and orders based on this table.

The exact cost will depend on the method of obtaining information from each supermarket.

I would be happy to discuss the details and propose the most stable solution for the long-term operation of the system. Expand

Budget: 2000 UAH Deadline: 7 days

Hello! I am ready to take on the development of this system. We will build a reliable architecture that will not "crash" with the slightest changes in the website layouts.
Data collection: Using classic HTML parsing for Silpo and ATB is a bad idea (the sites are dynamic, often change layouts + have protection). I will analyze their internal APIs (mobile or web requests) and pull clean JSON data. This is 10 times faster and more reliable. If the API is closed, I will use Playwright (full emulation of a real browser).
Database: Python + gspread (Google Sheets API). I will set up proper operation with the sheets so that new products are added, and in existing ones, only the "Price" and "Update Date" columns are updated. We will package the script and deploy it on a lightweight cloud server (VPS, for example, Hetzner or DigitalOcean). We will set up a Cron job to run 1-2 times a day. The system will operate 24/7 completely autonomously.
I regularly work with the combination of Python + API + Google Sheets. Recently, I implemented a complex system for automatic accounting and data synchronization between messengers and Google Sheets (with custom business logic).
The architecture will allow you to easily connect this table to your Telegram bots or websites in the future. I would be happy to discuss the project details, feel free to write!

Budget: 2222 UAH Deadline: 5 days

Hello! I am ready to take on the work. Write to me, and we will discuss everything in private messages.)

Budget: 2000 UAH Deadline: 2 days

Greetings
We are implementing the project, the only point is that adding new stores without viewing the page code and writing a separate parser for each site is impossible.
Write to me in private messages, I will do everything quickly and efficiently.

Budget: 1998 UAH Deadline: 2 days

Ready to implement in Python + Playwright.
Deadline - 2 days. Cost 2,000 UAH.
Contact me, I will start today.

I have developed many similar parsers, I will send the cases in private messages.

Budget: 2000 UAH Deadline: 10 days

I will create a data parsing system from supermarkets with integration into Google Sheets. I will set up parsing for about 200 products, including name, brand, weight, price, link, image, and category. I will organize automatic data updates 1-2 times a day, with the ability to manage products and add new supermarkets in the future. I am ready to start working and create a reliable solution.

Portfolio - Freelancehunt

Budget: 2000 UAH Deadline: 3 days

👋 Hello. I understand the task — we need to gather products from supermarket websites and deliver the data in a convenient format so that it can be worked with further without manual copying.

💡 The key here is not just to extract the name and price, but to think through the structure right away: what exactly we are parsing, how we navigate different product cards, and how this will then fit into Google Sheets or through an API without chaos in the columns.

✅ I have done similar tasks with catalog parsing and automatic data dumping, so I understand where the collection usually breaks down and how to work around it.

📋 I would start with 1–2 sources, quickly check the data format, after which I would gather a stable parsing script and output it into a table or the format you need.

🚀 If you send me the list of supermarkets and the fields to collect, I can immediately estimate the volume and we can start without lengthy approvals.

Budget: 1500 UAH Deadline: 1 day

Hello, I am a Python developer with experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today. I have already collected data from these websites.