Piercing according to the schedule of the OLX real estate section

Budget: 250 EUR Deadline: 28 days

Good day. I have a ready parser for OLX, however, for full compliance with your requirements, some adjustments are needed. I indicate the cost immediately with them. Usually, a lot of time is needed for tests, I indicate the deadline taking them into account.

Budget: 800 EUR Deadline: 3 days

Dmytro, I see the task as a system where it is important not just to collect OLX, but to immediately filter, group, and show only useful listings for your residential complexes. I will create a parser with a schedule, a blacklist, an archive of unavailable listings, a price per square meter calculation, and sorting by deviation from the market price. The output will be in the browser or on a PC, plus sending one best listing per residential complex to a messenger. I have been working with web services and mobile solutions for 7 years, I lead my team, and I know how to bring such projects to stable operation. We can discuss the logic of the filters and the format of the results.

Budget: 350 EUR Deadline: 7 days

Hello!

I fully understand your task. I will implement it "turnkey" - you will not have to install or configure anything: just start it and use it. I am ready to discuss the details and immediately get to work.

Budget: 1000 EUR Deadline: 21 days

Hello! We are ready to develop a custom monitoring system for you that will become your competitive advantage in the real estate market. We understand that the main goal is not just to collect data, but to automatically filter out the "junk" and highlight options with prices below the market rate.

What we will implement in your solution:

Smart parsing: Bypassing OLX protection and accurately recognizing residential complexes from your list (considering different spelling variations of names).

Deep analytics: The system will automatically calculate the price per square meter and determine the percentage deviation from the market price you specified. You will be the first to know about the most advantageous option in each residential complex.

Convenient list management: The ability to send listings to the "Black List" with one click, so they no longer distract your attention.

Automation in Telegram: The bot will send you only the "cream" — the cheapest offers for each complex immediately after they appear.

Turnkey solution: You do not need to set anything up. We provide a ready-to-use tool that starts with the push of a button.

Additionally: We will configure the operation through proxy servers to ensure that parsing works stably 24/7 without the risk of blocking your IP address.

Ready to discuss your list of residential complexes and demonstrate how the system works. When is it convenient for you to talk? Expand

Budget: 500 EUR Deadline: 20 days

Hello, I am ready to take on your task and complete it in full, I will implement everything turnkey, and upload it to hosting. I have extensive experience in developing various monitoring solutions. My stack is Node.js, Express, React.js, Mongo. You can view my work in my portfolio. I will be waiting in private messages to discuss the details ;)

Budget: 350 EUR Deadline: 5 days

Hello!

I fully understand your task. I will do it turnkey — you do not need to install or configure anything. You just launch it and use it. I am ready to discuss the details and get started.

Budget: 200 EUR Deadline: 1 day

Good day. I am ready to complete this project as I have extensive experience in application development.

Budget: 1600 EUR Deadline: 20 days

❤️Hi, hope you are doing well.

I am a senior software developer with extensive experiences in PHP, Python, Web Scraping, Browser Automation, Data Processing, Filters, and Web Dashboard Development.

This needs a fully automated OLX parsing system that collects apartment listings by schedule, matches only selected residential complexes including name variations, calculates price per square meter, compares it with market price, and groups everything clearly by complex.

I can build a simple browser based dashboard with filters, blacklist, archive for unavailable listings, sorting by cheapest square meter price, and ranking complexes by best market price difference. I can also add messenger notifications showing only the best listing from each residential complex.

The system will be delivered fully connected and ready to use, without requiring you to handle setup steps yourself.

Best Regards.
Youssef Expand

Budget: 300 EUR Deadline: 3 days

Hello! I am Roman, an individual developer with 4 years of experience, so I will professionally implement your OLX monitoring system turnkey, creating a web interface for managing filters (housing estate, price, area) and an automated parser that will calculate the price per meter, compare it with the market price, and instantly send reports on the best offers to a messenger; I will ensure stable data collection while bypassing blocks, set up blacklists and archiving of irrelevant ads, and also fully prepare the server side for operation without your intervention, I work through a private entrepreneur and provide full support, and you can view my work here: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, Behance.

Budget: 300 EUR Deadline: 1 day

Good day! I can help with your project, I have been working with olx for a long time, and I have ready projects similar to yours. I can show you.
I can offer you to be the first to receive ads, before moderation, before they appear on the site, so you will be the first to see what the majority will see later. Most of the ads will come with complete information, including phone numbers, there are successful examples of such implementation.
We can discuss, I have suitable solutions that I am already implementing and supporting.

Budget: 250 EUR Deadline: 7 days

Hello, write to me in private messages.

Budget: 390 EUR Deadline: 7 days

Hello, Dmytro!

Our IT company creates and improves websites that operate reliably, quickly, and solve specific business tasks for the client. We are engaged in developing websites "from scratch," as well as enhancing existing solutions, increasing their productivity and usability for your users.

We have experience in:
- developing responsive and fast websites on various platforms (WordPress, OpenCart, Shopify, WIX);
- integrations with payment systems, CRM, external services, and internal systems;
- optimizing website performance and security;
- setting up analytics and basic SEO tools;
- software development and automation of business processes: managing customer databases, resource accounting, automating repetitive tasks, integrations with third-party systems;

After the project is completed, we provide 14 days of technical support. During this period, we help adapt the system to your business processes and consult on any questions related to the completed work. This ensures that the developed solution operates reliably from the moment of launch and does not require additional adjustments.

We work in a structured and responsible manner - focused on results that align with your business goals. Expand

Budget: 100 EUR Deadline: 1 day

Good day. I have relevant experience. Write to me in private messages, we will discuss in more detail.

Budget: 1100 EUR Deadline: 27 days

This is not just "parsing OLX," but a full-fledged real estate market monitoring tool with filtering by residential complexes, price per meter analytics, comparison with market price, a blacklist, an archive, and notifications in a messenger — essentially a mini-CRM for finding profitable apartments. I build similar data collection and processing systems with automation, so I can create a turnkey solution: a parser with a schedule, a web interface for viewing and management, filters, grouping by residential complexes, analytics calculation, and sending a digest to Telegram. I envision the architecture as follows: a server-side parser in Python that scrapes OLX on a schedule, a database for storing listings/blacklist/archive, a web panel in the browser for working with results, and a Telegram bot for daily reports with the top 1 cheapest listing for each residential complex. All of this is deployed on your VPS or cloud server and operates autonomously without any actions from your side after launch. The estimated timeframe is 12–18 working days, and the budget is $1,200–2,000 depending on the number of residential complexes in the list and interface requirements. Please let me know: how many residential complexes are in your list, which city/region, how often parsing is needed (once an hour / once a day), and which messenger to send notifications to?

Budget: 100 EUR Deadline: 10 days

Hello, Dmitry! There is a working parser for OLX real estate, it needs to be refined according to your requirements: a list of residential complexes with variations of names, calculation of price per square meter, comparison with the market price, sending to Telegram. I will make the interface user-friendly, without instructions. Write to me, we will discuss the details.

Budget: 100 EUR Deadline: 1 day

Good day. There is experience with similar projects for OLX. It is necessary to know more detailed technical specifications for an accurate cost estimate. Write, we will discuss. Bots for productive cooperation.

Budget: 199 EUR Deadline: 3 days

Hello,

I have 2 years of experience working in a real estate company in Warsaw. I have done similar parsing for OLX and other real estate platforms. I am ready to implement such a solution for you turnkey. Write to me in private messages, we will discuss all the details and the technical specifications!
I will be happy to cooperate with you!

Budget: 200 EUR Deadline: 10 days

Parsing OLX

Python + Playwright or Selenium — bypassing blocks

Interface in the browser

Django or FastAPI — backend
Simple HTML/JS front — tables, filters, buttons

Notifications in messenger

Telegram Bot API — sending messages on schedule

Parsing schedule

Celery + Redis or just cron Expand

Budget: 500 EUR Deadline: 5 days

Good day
I have my own ready-made scripts for parsing OLX
I will install everything on hosting, I will recommend, data sending via Telegram bot
I have vast experience

Budget: 700 EUR Deadline: 7 days

Hi,

I’m Jeo. I have 8+ years of experience in data scraping, automation systems, and structured monitoring tools.

I understand you need not just a parser, but a working monitoring system with filtering, analysis, grouping, and notifications.

I would build this as an automated scraper using Python with Playwright for stable data collection from OLX Group.

The system will parse listings by your filters, match only selected residential complexes (including name variations), calculate price per m², compare it against your market price, and rank opportunities by discount percentage.

Data will be stored in PostgreSQL with blacklist and archive logic, so removed or ignored listings are tracked automatically.

For management, I recommend a simple browser dashboard where you can update filters, blacklist listings, and review grouped results without technical setup. Notifications can be sent to Telegram or another messenger with the best listing from each complex.

The architecture will run on schedule automatically and be fully managed for easy use.

Ready to discuss your residential complex list and notification logic.

Thank you. Expand

Budget: 160 EUR Deadline: 2 days

Hello! Interesting project, I have worked with OLX parsing - ready to take it on turnkey.

For the stack, I see it like this: Python (Playwright/Selenium for bypassing OLX anti-bot + requests where possible) + SQLite/PostgreSQL for storing history, archive, and blacklist. The interface - either a desktop app on Tauri/Electron, or a web dashboard on Next.js (I recommend web: it can be accessed from any device and looks more modern). Scheduler via APScheduler or system cron.

What I will implement according to your list:

Parser with OLX filters (currency, price, area, house type, renovation) - parameters are directly inserted into the request URL, works quickly.
List of residential complexes with variations of names (for example, "Residential Complex Sunny", "Sonyachnyi", "Sunny Quarter") - matching through normalization + fuzzy search to not miss ads with incorrect names.
Storing market price for each residential complex in settings (editable through the interface).
Calculation of price per m², difference in % from the market.
Grouping results by residential complex, sorting within by price/m² (from cheapest), and the complexes themselves by the highest % deviation.
Blacklist in one click directly from the ad card.
Archive of unavailable: with each launch, I check activity, inactive ones are moved to a separate tab (not deleted - history remains).
Output: number, residential complex, area, price per m², market price, %, total price, contacts, link.
Sending to messenger (Telegram bot is the most convenient: free, instant, with buttons) - top-1 ad from each residential complex at the lowest price/m².
Schedule: any frequency (every hour, once a day at a specific time, etc.).
Several useful ideas on top:

Highlighting "hot" lots - if the discount from the market >X%, mark in red + a separate push in Telegram immediately, without waiting for the scheduled report.
Price history for each ad - shows whether the seller has lowered the price and when (strong signal to negotiate).
Deduplication - the same object is often published multiple times/by several realtors. Matching by photo hash + area + floor, to avoid cluttering the report.
Export to Excel/CSV with one click for offline analysis.
Auto-update of market price - I can calculate the median for the residential complex over the last 30 days, so your reference point automatically adjusts to the market (optionally, alongside a manual value).
For installation - I will create one installer (or docker-compose, if web version): run it, open the interface, add residential complexes - it works. No consoles and configs manually. Expand

Budget: 175 EUR Deadline: 3 days

Hello, I am ready to start working today. I have experience in this field. If you are interested, write to me privately. I developed a prototype for your order.

Budget: 455 EUR Deadline: 18 days

Hello Dmitro,
I have experience building OLX parsers and your requirements are clear and well-structured. To fully meet your specifications, some custom development is needed — I'm quoting with all of it included from the start, no surprises later. I've also accounted for testing time in the deadline, as real-world parsing always surfaces edge cases that need ironing out.
Before, I can go to down to the specifics, I need you to tell me what you require, in terms of your U.I.; do you need a Browser-based dashboard / a Desktop app?
Once you reply with this, I can plot a realistic timeline and also explain the other requirements to follow.

Budget: 1111 EUR Deadline: 11 days

Hello, there is an OLX parser, it can be adjusted to your requirements with ЖК, square meters, and sending to a Telegram bot. Write to me, I will be glad to cooperate.

Budget: 200 EUR Deadline: 10 days

Good day! I have carefully read the task — I understand and am ready to take it on.

What I will implement:
— Regular parsing of OLX (real estate, apartments, sales) with filters: currency, price, area, type of building, renovation
— A list of residential complexes with variations of names — parse only the ads that fit
— Calculation of price per square meter and comparison with the market price for each residential complex
— Output: ad number, name of the residential complex, area, price per square meter, market price, % difference, price for the accommodation, contacts, link
— Grouping by residential complex, sorting by the largest % difference
— Blacklist of ads and archive of unavailable ones
— Notifications in Telegram: one cheapest ad from each residential complex
— Simple web interface in the browser — no instructions, everything is clear at first glance

With portfolio — I recently developed a Telegram bot for tracking prices on OLX: parsing live pages using httpx and BeautifulSoup4, personal ad list for each user, price change detection, error handling. Stack: aiogram 3.x, httpx, BeautifulSoup4, SQLite. GitHub: https://github.com/NazarSikora/olx_parser_bot

Deadline: 7–10 days after clarifying the details.
Cost: 200 EUR (fixed price for all functionality as per the specifications).

If there are any questions — I am ready to discuss the details. Expand

Budget: 350 EUR Deadline: 5 days

Dmitry, I will create the system. I will implement notifications in Telegram so that you will be the first to see the best offers. I will do everything in the form of a ready .exe file.

Budget: 400 EUR Deadline: 7 days

Hello, I didn't quite understand in what format you need the output of the information, but I understood regarding its collection. I can do it after clarifying the details.

Budget: 500 EUR Deadline: 14 days

Hello!

My name is Vladislav, I am a Full-stack engineer with 9 years of experience. I have implemented event monitoring and data analysis systems, so I will develop a stable "turnkey" solution for you that automates the search for profitable real estate offers.

The solution I propose:

● Automation (Node.js/Puppeteer): The bot will run on a schedule on a cloud server (you do not need to keep your PC on). I will use proxy rotation for stable bypassing of OLX protection.
● Intelligent filter: I will implement synonym matching for residential complex names (for example, "Park Avenue" = "Park Avenue") to parse only target objects.
● Analytical module: — Automatic calculation of price per m².
— Comparison with your "market price" and calculation of % profit.
— Grouping and sorting according to your rules.
● Management (Dashboard in the browser): — Convenient list of ads with filters.
— "Blacklist" button and automatic archiving of inactive links.
● Telegram notifications: Sending a daily report with the best offer for each residential complex.

Why choose me:

Senior experience (9 years): I guarantee code stability and protection against blocks.

Turnkey readiness: I will set up the server, database, and bot myself. You receive a ready-to-use link.

LinkedIn and reputation: www.linkedin.com/in/vlad-ataman

Officially: I work as an individual entrepreneur, payment by contract is possible.

Estimated terms:
— Deadline: 10–14 days.
— Cost: 30,000 UAH.

I would be happy to review your list of residential complexes and discuss the logic of price comparison in private messages! Expand

Budget: 250 EUR Deadline: 7 days

Ready to do.

Budget: 117 EUR Deadline: 1 day

Good day, There is a ready program, I will restructure it according to your request.

The price and deadline are realistic.

Budget: 1000 EUR Deadline: 3 days

Good day!

I professionally create automated monitoring systems for OLX. I will implement a ready-made program (for PC/browser) with all filters, analytics for residential complexes, a blacklist, an archive, and notifications in the messenger. I have experience working with APIs and deployment.

Write to me in private messages, and we will clarify the details.

Budget: 100 EUR Deadline: 7 days

Hello!
I can implement it. I will create a collection of listings with filtering by your residential complexes, calculation of the price per square meter, comparison with the market price, and grouping of results with the required sorting. I will also implement a blacklist, an archive of outdated listings, and sending the most advantageous options to a messenger. I have experience in complex parsing and automation.

As a result, you will receive a ready-made tool that works on a schedule, automatically processes data, and shows only relevant offers with analytics.

Please let me know which messenger the notifications should be sent to (Telegram?) and if there is already a prepared list of residential complexes with market prices?