Parser for the site Omarket.kz

Budget: 1200 USD Deadline: 10 days

Look, a budget of 500 USD for the initial prototype is possible, but I would estimate a robust parser with authorization, a catalog of 40,000 products, price history, and reports starting from 1200 USD and 10 working days. After checking the structure of Omarket.kz, the estimate can be narrowed down.

WE have done similar tasks related to e-commerce and product data.
> https://business.ingello.com/eva - systematic work with the catalog and product data
> https://business.ingello.com/prime-eva - automation of processes around the assortment and operations
> https://systems-fl.ingello.com - Ingello landing page for FLH

Regarding implementation, I wouldn't just create a one-time script. Authorization, a collection queue, product matching by article or link, an error log, history storage, and export in the required format are needed. Otherwise, the parser is formally there, but it’s of little use - the old saying that a miser pays twice applies here =)

Access to the account, an example of your catalog, and the format of the result - table, database, CRM, or admin panel - will be needed.
> Prices need to be collected either once or regularly on a schedule
> Your 40,000 products already have links or codes for matching with Omarket.kz Expand

Budget: 500 USD Deadline: 7 days

Aydana, I will create a parser for Omarket.kz taking into account authorization and a large catalog of 40k+ products. I will set up competitor price collection, update processing, and stable operation without unnecessary load on the site. I have already made parsers for protected sections and large catalogs, so I will immediately propose a reliable scheme and advise on how to best store and update the data. I am ready to discuss the details and export format.

Budget: 500 USD Deadline: 4 days

Good day. I have parsed dozens of similar marketplaces, both Ukrainian and from other countries. I would like to receive more detailed information regarding the structuring of the final result, the frequency of parsing, etc.

Budget: 500 USD Deadline: 6 days

Hello, Aydana! First, I will check where the site pulls prices from after authorization — if there are internal XHR/JSON requests, I will connect directly via requests+cookie — this is faster and more stable than going through a browser. If there is no such method — Playwright with session saving. For 40k products, I plan: progress saving and resuming from the point of interruption (not rebuilding from scratch), throttling with random pauses, deduplication by product ID. Notification in Telegram if the session has expired or the site's layout has changed. Export — CSV/Excel or directly into the database. I would like to clarify: is this a one-time collection or do you need regular monitoring on a schedule? And by which field should products be matched with your catalog — article/SKU/name?

Budget: 500 USD Deadline: 6 days

Hello! I am collecting prices from catalogs that require login access — I maintain the session via cookies and navigate page by page to avoid getting the account banned. For 40k products, I plan to resume from the point of interruption and implement careful pauses between requests to ensure the collection doesn't fail midway. The export format can be any — CSV, Excel, or directly into a database. One question: is this a one-time collection or is regular monitoring needed on a schedule?

Budget: 480 USD Deadline: 3 days

Hello, Aydana.

The task is right in my profile. I have been engaged in browser automation for about 10 years, analyzing internal HTTP/API requests, working with authorization, sessions, proxies, and website restrictions. For marketplaces, I have done sales analytics for FunPay and checked product stock with protection against limits.

For OMarket, I will first check the authorized area and find out where the page gets its prices. If there are stable JSON/XHR requests, the collection will go directly through them, and the browser will only be needed for login and session updates. If that option is not available, I will implement the collection through Playwright. I will not add proxies and stealth in advance until the check shows that they are really needed.

Within the first day after gaining access, I will show a working prototype on 100-300 products. After agreeing on the fields and the method of matching, I will launch the full catalog:

- saving progress and continuing after a break;
- retries, rate limiting, and a separate error report;
- excluding duplicates and recording not found products;
- price, seller, link, and check time in CSV, Excel, or database;
- re-launching to update prices without a complete re-collection;
- logins and session data are stored separately and do not appear in the logs.

To start, I need a test account, 5-10 product examples, and an example of the desired result. Also, please clarify if a one-time collection or regular price monitoring is needed. Expand

Budget: 500 USD Deadline: 2 days

Hello!

I have reviewed your task of creating a parser for Omarket.kz. I have extensive experience in developing parsers and crawlers for marketplaces and e-commerce platforms, including bypassing complex protections.

Budget: 500 USD Deadline: 10 days

Hello. For a catalog of 40,000+ products, I will create an authorized price scraping with session retention, pagination handling, and protection against duplicate entries. The results can be exported to CSV/Excel or saved to a database, and repeated runs will update prices and log changes. I will add logging, retries, and a clear report on the products that could not be processed. Before starting, we need to clarify the method for matching products with competitors and check for any CAPTCHA or rate limiting restrictions.

Budget: 500 USD Deadline: 19 days

Good day. I write programs for automation. I can create it as a desktop application for Windows in Python.

Budget: 500 USD Deadline: 5 days

Hello!

I am ready to take on the project for $500, with an estimated timeline of 5-7 days after the start (this includes the development of an authorized parser, processing a catalog of approximately 40,000 products, and testing).

I have direct experience with similar tasks: I developed a Playwright parser that bypasses anti-bot protection and maintains session/authentication between runs (a separate background process holds the session, and the execution module instantly uses the current cookies) — meaning this is exactly the type of task with authorized access to prices. I also have experience processing catalogs of similar scale (19K+ records) with reliable storage and error handling without crashing the entire pipeline.

A few clarifications before we start:

Is this a one-time price collection or is periodic monitoring needed (daily/weekly)?
Is there visible anti-bot protection on the site (Cloudflare, captcha)?
In what format do you need the results — CSV, database, or something else? Expand

Budget: 480 USD Deadline: 5 days

Hello, Aydana! I carefully studied your task of parsing the marketplace Omarket.kz. Collecting a catalog of 40,000+ products under authorization is a serious volume, where ordinary "quick-and-dirty" scripts will fail at the first thousand due to session drops or blocks. I am ready to develop a stable, fault-tolerant parser for you in Python 3.12.

I am not offering heavy and expensive-to-maintain microservices (Redis/Docker), but will create a clean, fast, and understandable turnkey solution that navigates the technical pitfalls of this platform:

1. Stable authorization and session refresh:
On Omarket, cookies and tokens expire quickly, logging the script out right in the middle of pagination. I will set up Playwright Headless with Stealth modifications. The script will log in as a real user, save the session, and in the data collection loop, will implement automatic interception of 401 errors — if the session expires, the parser will update the authorization token on the fly and continue working without interruptions or crashes.
2. Progress saving system (Checkpoint):
Scraping 40,000 items in one go is unsafe. The parser will use a lightweight SQLite database to record its state. If your internet goes down or the power flickers — upon restarting the script, it will not collect everything from scratch but will instantly continue working strictly from the ID of the product or catalog page where the interruption occurred.
3. Protection against bans (Throttling and proxies):
To prevent the account from being blocked for suspicious activity, I will set up "smart" random pauses between requests (throttling) and connect proxy server rotation. The site will see the requests as natural human actions.
4. Data export and alerts:
The final result of competitor price matching will be collected by the script into a neat Excel file (XLSX) or CSV. Additionally, I will integrate notifications in Telegram — if proxies run out during the collection process or if the site's layout changes globally, the bot will immediately send you an error report.

All development will be done in pure Python, and the code will be accompanied by detailed comments. Upon completion, I will help you set everything up, run it, and provide a simple instruction manual. Logins, passwords, and session data will not be logged (strictly through .env).

Please let me know which field your catalog needs to be matched against competitors on the site (article, SKU, or product name), and whether the price collection is needed as a one-time task or as regular monitoring on a schedule? Expand

Budget: 500 USD Deadline: 5 days

Hello! The task is clear. Parsing 40k+ products with authorization is a classic scenario where the main goal is to avoid getting the account banned, bypass anti-fraud measures, and collect everything quickly. I will write a reliable asynchronous parser in Python that will regularly log in with your account and extract current prices.

Budget: 480 USD Deadline: 2 days

With 40k products on the marketplace, the main problem is authorization. The session expires after a while, and if you just scrape the catalog with requests, the account gets logged out right in the middle of parsing. I have already built parsers for such platforms. It's better to tie the auto-refresh of the token directly into the loop and run it through rotating proxies to avoid captcha.

In the code, I handle it like this:

headers = {'Authorization': f'Bearer {auth_token}'}
res = session.get(catalog_url, headers=headers, params=params)
if res.status_code == 401:
auth_token = get_fresh_token(credentials)
res = session.get(catalog_url, headers=headers, params=params)

For the technical part, I will do it this way. An authorization module with token refresh and proxy rotation. Collecting the catalog of 40 thousand products and competitor prices. Saving the database in CSV or exporting to a database.

Let me know if you have any questions. Expand

Budget: 500 USD Deadline: 8 days

Good day, I have a lot of experience in parsing. I worked at a parsing company where we wrote parsers for platforms like Amazon, Ebay, Kaufland, and others. We collected millions of products daily across different domains. Please message me privately, and we can discuss how this can be implemented and how you want it to work. I would be happy to work with you.

Budget: 500 USD Deadline: 5 days

Good afternoon. I am ready to develop a parser with authorization for collecting prices from a catalog of over 40,000 products. I will set up matching by SKU, session handling, repeated requests, and exporting results in the required format.

Budget: 500 USD Deadline: 7 days

Good day.
I have extensive experience in writing parsers of various levels of complexity, including those with authorization for data access.
I would like to know what specific product data needs to be obtained, how often the information should be updated, and in what format the results should be provided.

Budget: 500 USD Deadline: 4 days

Good day
I previously created a parser for this website, an export for this site.
I also made parsers for Kaspi, exports for Kaspi, worked with the Kaspi API and other KZ MP, with a lot of experience in the field of parsing for price synchronization.
Write to me, and we will discuss.

Budget: 500 USD Deadline: 1 day

Good day.
There is a ready parser in node js that will do everything.
If you have any questions, you can write to me in private messages.

Budget: 500 USD Deadline: 5 days

Hello! I can develop a parser for the website Omarket.kz that will collect competitor prices. I have experience with authorization and parsing large volumes of data. I am ready to discuss the details.

Budget: 500 USD Deadline: 7 days

Hello, Aydana! I am collecting prices from Omarket.kz through an authorized browser and saving them in a structured format. On this site, the session with cookies expires quickly, and the catalog of 40 thousand products requires pagination to be navigated without blocking. Therefore, I am using Playwright with a saved session to keep the login active and ensure requests are made as if from a real user. In what format do you need the data: CSV, Excel, or Google Sheets?

Budget: 500 USD Deadline: 15 days

Good day! I am ready to develop a system: a parser for Omarket.kz that will go through authorization and collect current prices for a specified number of products, and a module for analyzing competitors' prices. Please message me privately, and we will clarify the details regarding authorization.

Budget: 500 USD Deadline: 5 days

Good day, I have been working in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WP, OpenCart, CodeIgniter, etc. I am ready to complete the task. Reviews: Freelancehunt

Budget: 500 USD Deadline: 3 days

Good day. I am interested in your order. I have over 10 years of experience in web development. We will create the parser more efficiently and quickly. Please message me for discussing the details.

Budget: 500 USD Deadline: 12 days

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 a parser for the platform omarket.kz. I understand that it is necessary to create a scalable solution for the regular collection of prices for more than 40 thousand products, considering the need for mandatory account authorization. To implement this project, I propose using an asynchronous microservice architecture based on Python. To maintain a stable authorization session and quickly navigate through the catalog, we will use a combination of aiohttp and automatic proxy server rotation. If the site has protection against automated requests during login, we will implement a headless browser via Playwright to simulate the actions of a real user at the login stage. The queue of links for 40 thousand products will be managed through Redis, allowing us to parse the catalog in dozens of asynchronous threads and minimize the overall collection time. The final data will be securely stored in PostgreSQL for subsequent export. I have confirmed experience in creating complex fault-tolerant data collection systems. As part of my Lumos project, I designed and implemented a reliable architecture for continuous asynchronous parsing of external sources with subsequent monitoring of changes. You can view my portfolio at the link Freelancehunt I suggest discussing the details of bypassing possible site protection and the desired format for price export in private messages.

Budget: 500 USD Deadline: 2 days

Hello.

I have extensive experience in information gathering and parsing. You can review the projects I have completed related to the automation of similar tasks:
https://freelancehunt.com/project/avtorozsilka-povidomlen/1348368.html
https://freelancehunt.com/project/napisat-skript/1304561.html

The task is simple and clear; I can complete this project even for a lower price than you are offering. I am available online 24/7 and ready to complete the task quickly and efficiently, feel free to reach out!

Budget: 500 USD Deadline: 6 days

Hello! Parsing is my specialization, including sites that require authorization. I will create a parser for the Omarket.kz catalog (40k+ products) with competitor prices from under the login.

How I will build it: I will log in and maintain the session (cookie/token), browsing the catalog page by page with throttling to avoid getting banned; the data will be in a convenient format (CSV/JSON/DB, as you need). I will ensure resilience: parsing resumes from the point of interruption, not from the beginning — this is critical for 40k products.

Deadline: 6 days, cost $500. I work through Safe, in stages.

Questions: Is the parsing needed once or regularly (on a schedule, for price monitoring)? And which fields are important — price, availability, specifications, photos? This affects the structure and volume.

Budget: 500 USD Deadline: 7 days

Hello. I can create this parser. I have some developments. Write to me, and we will discuss.

Budget: 500 USD Deadline: 3 days

Good day. I can create such a parser. I would be happy to collaborate - feel free to reach out!

Budget: 500 USD Deadline: 10 days

I am a NodeJS developer. I am ready to take on this task. Write to me, and we will discuss.

Budget: 500 USD Deadline: 7 days

The task is to log in to omarket.kz and extract prices from the entire catalog of 40k+ items without getting banned.

I will do this using Python + Playwright: the session will be through a real browser (which bypasses protection better than requests), and the authorization will be saved in cookies. I will run the parsing with throttling and random pauses between requests to avoid triggering the rate limit on a large volume. The result will be in Excel/CSV with the article number, name, price, and collection date; deduplication by product ID during repeated runs. I will add an alert in Telegram if the session expires or the page structure changes.

Does omarket.kz have an API, or is everything only through HTML pages, and is a parser needed for a one-time snapshot or with regular updates on a schedule?

Budget: 500 USD Deadline: 10 days

Aydana, with a catalog of over 40,000 products, the main thing is not just to log in and gather prices, but to ensure continued operation after errors, not to overload the site, and not to start the entire collection over again in case of a disruption.
First, I will check where the site gets prices after authorization. If internal XHR/JSON requests are used, I will connect to them — this is faster and more stable than navigating pages in a browser. If there is no such method, I will implement the collection through Playwright while maintaining the authorized session.
The parser will:
— match products by article, SKU, or another agreed identifier;
— save intermediate results and continue working from the point of interruption;
— limit the frequency of requests, retry temporarily failed attempts, and keep a list of errors;
— exclude duplicates and separately mark items not found;
— save price, seller, link, and check time in CSV/Excel or a database;
— support re-launch only for price updates without a complete re-collection of the catalog.
Before full processing, I will test the solution on a sample of 100–300 products. I will provide the source code, configuration via .env, and installation and launch instructions. Logins, passwords, and session data will not be included in the logs.
The cost is 650 USD, and the timeframe is 10 calendar days with standard authorization and working with one site. If CAPTCHA, mandatory proxies, frequent blocks, or non-standard protection are discovered during the check, we will separately agree on the final method, timeframe, and cost before starting the main development.
Please clarify: which field can your catalog be matched with products on the site — article, SKU, name, or ready links? And how often do you need to update prices? Expand

Budget: 500 USD Deadline: 1 day

Good day!

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

To provide an accurate response regarding timelines and pricing, I would like to clarify a few questions that arose after analyzing your description.

Budget: 499 USD Deadline: 3 days

Good day Aydana, I will do everything quickly and beautifully so that it lasts a long time and doesn't fall apart.

Budget: 1200 USD Deadline: 12 days

We already have a nearly ready similar solution for monitoring competitor prices, which can be quickly adapted for omarket.kz and launched. We can discuss it here; I'm available.
https://business.ingello.com/prime-eva - a similar task related to retail and product data, where prices, catalog, and managed automation are important.
https://business.ingello.com/eva - close in terms of product logic, showcases, products, and integrations.
https://business.ingello.com/vorfahr - a strong example of automation with AI, if you want to go beyond just collecting prices and get suggestions for repricing.
Regarding the budget - 500 USD will be enough for a short initial phase, where we will check authorized access, collect a prototype for part of the catalog, and show the output.
For full collection on 40,000 products with queues, retries, logs, history storage, and convenient output, I would estimate 1200 USD and 12 working days.
At the start, I will explore the authorized zone, determine a stable way to obtain data, then collect a queue handler, price normalization, and a results table or dashboard.
!!Important point!! We work through your legal access and without breaking any protection.
From you, I need a test account, a list of products or categories, required fields, and the frequency of price updates.
Questions - should we compare only the current price or store the history of changes, and what result is more convenient - a table, file, or simple admin panel?
About us - https://systems-fl.ingello.com Expand

Budget: 500 USD Deadline: 10 days

I write parsers with bypassing protections and regular data collection, with further support.
I moved to the site where prices are visible; where exactly do I need to check the prices from the account?
How often do you need price updates (fresh data)?
Write to me, and we will discuss the details, and I am ready to start working.

Budget: 500 USD Deadline: 7 days

Good day.

I have extensive experience in developing parsers and automating data collection. I can easily implement a script for Omarket.kz that will successfully pass authorization and collect current prices for all 40,000 products. I will do everything efficiently and as quickly as possible. I have experience in developing a system for analyzing competitors' prices, consisting of 120 parallel parsers.

Please let me know in what format you need the collected data (Excel, CSV, or directly upload it to your database)?

Let's discuss the details and start our collaboration, shall we? 🙂

Best regards, Denis

Budget: 480 USD Deadline: 5 days

Hello, Aydana! I am interested in your project, and I have worked on such tasks before. I will create a parser for collecting competitor prices with authorization. First, we will need to see how the authorization occurs on the website and replicate that process in the script. Then I will write the parser itself, which will navigate the catalog and collect prices while handling possible errors or blocks. I will set everything up so that data can be easily retrieved, even from 40,000 products. I have extensive practical experience with Python, Scrapy, and Beautiful Soup, so there will be no issues with website parsing and handling authorization.

For this work, I will charge $480 and complete it within 5-7 days. As a bonus, I can additionally provide data export in a format convenient for you, such as Google Sheets or CSV.

Budget: 500 USD Deadline: 1 day

Hello. To implement a parser with authorization for 40 thousand products, I will develop a modular, asynchronous architecture that ensures high data collection speed and resistance to blocking. My previous projects involved processing significantly larger volumes of data using optimized algorithms and session management mechanisms. I will apply effective strategies for bypassing protection systems, caching, and proxy rotation, ensuring the reliability of competitor price collection. I suggest discussing all implementation details, final budget, and timelines in private messages.