Advertisement parser

Budget: 11000 UAH Deadline: 5 days

Hello. I will implement asynchronous monitoring of the OLX, LUN, and Rieltor.ua platforms in Python with notifications sent to Telegram. I will build a parser with deduplication of ads through a database (PostgreSQL/SQLite) and bypassing anti-bot protections (Cloudflare, IP blocking) using asynchronous requests and proxy rotation. I have implemented a similar architecture for tracking and instant data filtering in real-time in my high-frequency tracking systems.

Is an interactive filter selection (price, areas, number of rooms) needed in the bot for users, or will the search configuration be fixed?

Budget: 7000 UAH Deadline: 7 days

Hello! I can develop a Telegram bot for monitoring new listings from OLX, LUN, and Rieltor.ua. The bot will check new publications, remove duplicates, structure the price, address, number of rooms, area, photos, and links, and send the results to Telegram.

I propose to implement it in stages: first, check the technical availability of each source and connect one site, after which the rest will be added. I will include filters by city, price, and number of rooms, as well as a database of already processed listings.

Budget: 10000 UAH Deadline: 10 days

Good day.

The categories for data parsing and bot development are indicated absolutely correctly. This is the ideal set for your task.

I am ready to develop a Telegram bot for continuous monitoring of rental apartment listings. I have extensive experience bypassing protections on complex sites like OLX LUN and Rieltor. For stable operation, I will use modern browser emulation tools and connect reliable proxy servers to avoid blocks.

The bot will regularly collect new listings and instantly send them to you in a clearly structured format with photos, prices, descriptions, and direct links to the source. I will also add a convenient menu for setting up search filters directly in Telegram so you can flexibly choose specific cities, the number of rooms, or budget.

Budget: 3500 UAH Deadline: 4 days

Hello! I have created monitoring Telegram bots for OLX — a new ad appears in the chat a couple of minutes after publication. LUN and rieltor provide data differently, so there is a separate collector for each site plus a shared database to ensure the same apartment doesn't come twice from two sources. I will complete it in 4 days. Should the filters (city, price, number of rooms) be customizable directly in the bot or should I hardcode your preferences?

Budget: 10000 UAH Deadline: 1 day

Good day
I already have a ready bot. It sends new announcements to Telegram. It has been working for clients for a couple of years. I constantly maintain it in working condition. We work with clients on a regular basis.

I am ready to collaborate with you.

The price I indicated is for transferring the code to you for launching on your server. It can also be run on my server for a monthly fee, as it currently works for my other clients. We can discuss the monthly amount in private messages.

Budget: 5000 UAH Deadline: 5 days

Good afternoon, Mikhail! I will create a parser in Python for all three websites: asynchronous collection on a schedule, deduplication by ad ID through the database (to avoid receiving duplicates), structured card in Telegram (photo/price/address/link). I will take into account that LUN is now behind Cloudflare — I will collect data through browser emulation, while OLX and Rieltor.ua will be accessed directly. I have experience with similar parsers on PM2/VPS with auto-start 24/7. I would like to clarify: what filters are needed (city/price/rooms) and how often to check the websites.

Budget: 999 UAH Deadline: 7 days

A Telegram bot that monitors three websites simultaneously requires setting up parsers for each platform with different data structures. I will create a Python script that will periodically download listings from olx, lun, and rieltor.ua, structure the data, and send it to Telegram via the Bot API with formatting for easy reading. I offer 2 weeks of free support—parsers may need adjustments if the websites change their markup. I am ready to start.

Budget: 9000 UAH Deadline: 9 days

Good day, the last project I worked on was a Telegram bot for parsing and monitoring listings, including those from OLX. Reviews are in my profile. I also previously created a bot specifically for real estate on OLX + LUN. I have experience - feel free to write, and we can discuss the details.

Budget: 8000 UAH Deadline: 14 days

Good day. I have ready parsers for OLX and rieltor, and I am ready to develop a parser for Lun for this project. To finalize the cost of the announcement, we need to discuss a few more details. I am indicating the minimum possible.

Budget: 17000 UAH Deadline: 12 days

Good day, I have experience in bot development and can combine this with a parser.

The main issue will be long-term operation due to the bot's blocks; it will be necessary to maintain and update the bot from time to time. We can discuss everything in private...

Budget: 25000 UAH Deadline: 10 days

I can create the first stable version for 25,000 UAH and 10 days - a bot in Telegram, monitoring OLX, LUN, Rieltor.ua, filters, deduplication, a structured ad card, and a log of already found options.

Look, there’s a nuance here - for OLX and LUN, we need to check in advance what works better in the long run - open pages, available feeds, or a more cautious collection through a browser script. Otherwise, the bot may start well but then break due to blocks or layout changes =/

Similar mechanics cases
> https://business.ingello.com/vorfahr - automation of data collection and workflows
> https://business.ingello.com/fractal - agent automation, where the stability of scripts is important
> https://business.ingello.com/forma-bpm - system logic, statuses, event processing

The main profile of the team - https://systems-fl.ingello.com/ua

For implementation, I see it like this - first, we create the core collection, normalize fields, check for duplicates, then the Telegram bot with commands, filters, and sending new ads. We can keep it simple, but I would definitely add a database for storing results - without it, monitoring quickly turns into manual magic, and magic in development is expensive.

From you, I will need links to searches or filtering rules - city, district, budget, number of rooms, type of rental, frequency of checks.

I would like to clarify two points
> Should all new ads be sent or only those that pass the filters by price, district, and keywords?
> What fields should be in the message - price, address, photo, description, author, phone, link, time of appearance? Expand

Budget: 2000 UAH Deadline: 2 days

We will develop a bot that will collect advertisements from the websites you provide and send notifications via Telegram.

Various technologies can be used for the development of this bot.

These include Python, Node.js, and Next.js.

Budget: 999 UAH Deadline: 1 day

Mykhailo, I will create a Telegram bot with a parser that will track listings on OLX, LUN, and Rieltor.ua and send them in a convenient structure. I have experience with Laravel and Vue, so I can immediately think through a stable data collection, filters, and a neat message format. I will also take into account frequent website updates and keep the logic maintained. I can discuss how to better organize monitoring and delivery of notifications.

Budget: 2000 UAH Deadline: 1 day

Good day!
In general, the task is clear, but to provide an accurate response regarding the deadlines and price, 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: 20000 UAH Deadline: 3 days

I can develop a Telegram bot that will automatically monitor new listings on OLX, LUN, and Rieltor.ua, remove duplicates, and send data in a structured format. Please clarify:
1. What specific data needs to be displayed: price, address, area, photo, description, contacts, link?
2. What filters should the user set: city, district, price, number of rooms, and others?
3. How often should new listings be checked?
4. Will the bot be personal or used by multiple people?
5. Is it necessary to save listings in a database and keep a history of viewed options?

Budget: 10000 UAH Deadline: 5 days

I can implement such a solution.
What I will do:

Parsers for all three sites
Duplicate filtering (so that the same ad does not come repeatedly)
Convenient message format in Telegram (price, area, number of rooms, square footage, link, photos if possible)
Ability to customize search parameters (city, price, number of rooms, etc.)
Stable operation with bypassing basic site restrictions

I work with Telegram bots and parsing, using a modern approach to development (including AI-assisted) to close such tasks faster and more efficiently.
I am ready to discuss the details:

What specific filters are needed at the start?
Where exactly should the messages come (personal chat / group / channel)?
Is an admin interface needed to manage the filters? Expand

Budget: 4000 UAH Deadline: 4 days

Good day. I will create a bot in Python + a database for duplicates, so the same thing doesn't come through twice. LUN is currently under Cloudflare, so it will need to be pulled through browser automation; OLX and rieltor are simpler. Please advise on what criteria to filter by — city, price, number of rooms — and what fields are needed in the message: photo, price, address, link, contacts. How often should the sites be checked?

Budget: 6000 UAH Deadline: 10 days

Good day.

I can develop a system that will regularly track new apartment rental listings on OLX, LUN, and Rieltor.ua and send them to Telegram in a single structured format.

I propose to implement a modular system instead of three separate one-time scripts: each site will have its own data collection adapter, while a common core will be responsible for scheduling, filtering, removing duplicates, saving history, and sending messages to Telegram. This way, changes on one resource will not disrupt the operation of others, and new sources can be added as separate modules.

The system will collect:

the title and description of the listing;
the price and currency;
the city, district, and address if available;
the number of rooms and area;
photos;
the publication date;
a link to the original listing;
the source of publication.

I will provide filters by city, districts, budget, number of rooms, and other available parameters. Settings can be saved in a configuration file or, if necessary, changed directly through the Telegram bot menu.

To prevent users from receiving duplicate messages, the system will store identifiers and links of already processed listings. If one apartment is published on multiple sites, approximate comparisons can be additionally performed based on phone number, address, price, and photos.

The proposed message format in Telegram:

2-room apartment, Shevchenkivskyi district
Price: 18,000 UAH
Area: 58 m²
District: Center
Source: OLX
Short description…
View listing

One main photo or an album can be added to the message.

For stable operation, I will also implement:

checking websites at a specified interval;
retry attempts after temporary errors;
logging the operation of each source;
notifying the administrator about the parser stopping;
request frequency limits;
a local SQLite or PostgreSQL database;
running on VPS via Docker;
automatic restart after server reboot.

It is important to consider that the structure of pages and website protections may change. Therefore, I will first check the available methods for obtaining data for each resource and will use the most stable option: open requests or official mechanisms, and browser automation only where it is truly needed.

For an accurate estimate, it is necessary to clarify:

which cities and districts need to be monitored;
the required filters;
how often to check for new listings;
whether messages should be sent to a personal chat, group, or channel;
if parameter management is needed via Telegram;
where the system will operate — on your server or if needed. Expand

Budget: 2000 UAH Deadline: 3 days

I have experience in developing such projects, I did it on an asynchronous basis.

Budget: 900 UAH Deadline: 5 days

Hello! I am an AI Automation specialist, working with Make.com and the Telegram Bot API.

I want to immediately point out a technical nuance: OLX, LUN, and rieltor.ua do not have public webhooks for listings, so the optimal approach is periodic monitoring (every 15-30 minutes) with page parsing based on your filters (city, district, price), rather than "instant" real-time notifications. This is standard practice for such tasks and ensures stable results without the risk of being blocked by the sites.
What I have already implemented with similar logic:
· Automatic data collection from external sources on a schedule with filtering by time window (last 24 hours) — similar to what is needed here
· Deduplication of records through an atomic Data Store — critically important for your task to ensure that the same listing does not come through again from different checks
· Structured content delivery to Telegram via Bot API with formatting for easy reading
How I see the implementation:

A monitoring module for each of the 3 sites (HTTP + parsing) based on specified filters
Data Store for saving IDs/URLs of already sent listings — duplicates are automatically filtered out
Formatted Telegram post: photo, price, district, link, publication date
A launch schedule that you can configure yourself (check frequency)

I am ready to discuss the details — what specific filters (city, district, price, number of rooms) are needed and whether you require the ability to manage monitoring parameters directly from Telegram (for example, with bot commands). Expand

Budget: 700 UAH Deadline: 3 days

Hello!

I am ready to develop a stable monitoring bot that will operate 24/7 without failures or blocks. I have experience setting up parsers for OLX, LUN, and Rieltor, so I know well how to bypass their bot protection.

What exactly you will receive as a result:

- Speed: The bot checks the websites 24/7 and sends new listings to the chat just a few minutes after they appear on the platform.
- Protection against spam and duplicates: All found listings are filtered through a database. If the same apartment is listed on different sites, the bot will send it only once.
- Convenient format: Messages will come in a clearly structured form — with photos, price, short description, and a direct link to the source.

I will deploy the entire project on a "turnkey" server and provide you with a fully ready-to-use product.

I am ready to move to private messages, discuss the details, and start implementation right away! Expand

Budget: 5000 UAH Deadline: 5 days

Need to track new rental listings on OLX, LUN, and Rieltor.ua and immediately send them to Telegram in a convenient format.

I will do it in Python + aiogram 3: Playwright for OLX (there's JS rendering and protection), requests/BeautifulSoup for LUN and Rieltor. The parser runs on cron every 5-10 minutes, new listings are compared with the database by URL, duplicates are not sent. In the message: photo, price, area, link, rooms.

Important point: OLX blocks bots, so I will implement user-agent rotation and delays between requests to prevent the parser from failing silently.

Please clarify: should I filter by specific city/areas and price range, or send all listings without filters?

Budget: 6000 UAH Deadline: 7 days

Hello! The task is completely clear. I have extensive experience in developing fast parsers and Telegram bots in Python (aiogram + PostgreSQL).

I am ready to discuss the details and start working immediately.

Budget: 1700 UAH Deadline: 6 days

Hello!

I can complete your order as I have experience in creating parsers and Telegram bots.

I will execute the order using Python and set up data storage in a database to not only save the announcements but also to check the relevance of those already viewed.

Budget: 6000 UAH Deadline: 10 days

Hello!

I have extensive experience in developing solutions for parsing and processing data (various sources, protection against blocking, automation). I am ready to complete the assigned task.

I suggest we discuss the details in private messages.

Budget: 1000 UAH Deadline: 1 day

Hello! The task is clear: monitoring new listings from OLX, LUN, and rieltor.ua with sending structured notifications to Telegram. I regularly create parsers and bots, so I will build a reliable system with periodic checks and filters. I am happy to discuss the details in private messages.

Budget: 3030 UAH Deadline: 4 days

Hello!

I am ready to complete your project. I have experience in developing Telegram bots and parsers in Python.

I will create a bot that will monitor OLX, LUN, and Rieltor.ua, collect new listings based on specified filters, and send them to Telegram in a convenient structured format. I will exclude duplicates, set up periodic checks, and, if necessary, add flexible filter settings through the bot itself.

After completion, I will assist with the launch and provide support if needed.

I would be happy to discuss the details and get started.

Budget: 17845 UAH Deadline: 8 days

Good day!

I am ready to develop a Telegram bot for monitoring ads from OLX, LUN, and Rieltor.ua.

I will implement:

* automatic collection of new ads from the specified platforms;
* filtering by parameters (city, price, number of rooms, etc.);
* duplicate checking to ensure identical ads are not sent repeatedly;
* structured sending of ads to Telegram;
* data storage in a database;
* setup instructions and usage guidelines.

I can perform the development in Python using the Telegram Bot API, parsers, and databases.

I suggest starting with an MVP to achieve a reliably functioning system that can later be expanded with additional features.

Development cost: $400.
Deadline: 7–9 days (depends on the specifics of the sites and filter requirements).

I am ready to discuss the details and propose an optimal architecture for your task. Expand

Budget: 5000 UAH Deadline: 3 days

Good evening Mykhailo, I can help with the creation of your project. You can take a look at a couple of my works, there is a scanner but only in a slightly different field.

Budget: 15000 UAH Deadline: 7 days

Good day.

I am professionally engaged in the development of parser systems. I work with all the websites you need. Please write to me in private messages to discuss the details.

Best regards, Roman.

Budget: 700 UAH Deadline: 2 days

I am the owner of a property parsing system in Ukraine - ParseKeep.
I collect real estate from olx, ria, rieltor, otodim 24/7.
I can provide you with data extraction based on any required filters and in any format (including extraction to Telegram).

Budget: 4500 UAH Deadline: 6 days

Good day! I have been engaged in browser automation and bypassing anti-bot protection for over 8 years (AliExpress, FunPay, and other platforms with strict blocking) - exactly the experience needed for stable work with OLX, LUN (Cloudflare), and Rieltor.ua.

Approach: a separate scraper for each site (where possible - light HTTP/internal JSON requests, for LUN - browser emulation with proxy rotation). Deduplication by hashing key fields (address, price, area), not just by ID - this is important because LUN partially aggregates listings from OLX. Storage in SQLite, sending cards in Telegram (photo, price, address, rooms, link). Filters (city, price, rooms) - via commands in the bot.

I am ready to start immediately, to discuss the details of the filters and the format of messages in private.

Budget: 2000 UAH Deadline: 4 days

Hello! I am interested in your project; I have experience in creating a Telegram bot for apartments, but from a German site. We can discuss all the details in private messages or on Zoom.

Budget: 1000 UAH Deadline: 5 days

Good day!
We have experience in developing parsers, Telegram bots, and advertisement monitoring systems.

We can implement a solution that:
- will automatically monitor new advertisements on OLX, LUN, and Rieltor.ua based on specified parameters;
- will check the websites at a configured interval and send only new advertisements without duplicates;
- will send information to Telegram in a convenient structured format: photo, price, address/area, square footage, number of rooms, link to the advertisement, and other available characteristics;
- will allow changing search filters (city, area, budget, number of rooms, square footage, etc.) without modifying the code;
- will support multiple simultaneous search scenarios and notifications for different users or chats.

If needed, we can also add:
- filtering by keywords;
- detection of price drops;
- separate notifications only for advertisements from owners;
- saving the history of found objects and statistics.
We are ready to offer a stable solution with the possibility of further expanding functionality and support after launch. Expand

Budget: 1200 UAH Deadline: 1 day

Good day.
I have an Olx parser in my portfolio.
I will create parsers using request/selenium.
I will complete the parser in 1-1.5 days.
Budget: 1200
Write to me, we will discuss the details.

Budget: 2000 UAH Deadline: 2 days

Good day, I can implement this bot. It will send announcements to the Telegram bot, indicating from which site and other information (reviews, description, etc.).

Budget: 3500 UAH Deadline: 3 days

Hello, Mykhailo!

The task is completely clear. I specialize in developing Telegram bots and asynchronous parsers in Python, so I will gladly implement this project for you.

The main problem with such systems is the stability of parsing (especially on OLX and LUN due to dynamic content) and avoiding spam duplicates.

Here’s how I propose to technically solve your task:

1. Reliable data source: I will write asynchronous parsers for OLX, LUN, and Rieltor.ua. For OLX, we will use optimized HTTP requests (or mobile API), and for LUN, tools that correctly handle dynamic page rendering.
2. Database (SQLite/PostgreSQL): each ad will receive a unique ID, which will be stored in the database. The bot will check for new ads and send you ONLY fresh offers. No duplicates.
3. Beautiful structure in Telegram: ads will come in the form of a structured card with a photo, price, number of rooms, district, short description, and a direct link to the source.
4. Background monitoring: the script will run in asynchronous mode with a configured check interval (for example, every 5/10 minutes).

Development stack: Python (aiogram 3.x, httpx / BeautifulSoup / Playwright for parsing, SQLite for storing ad history).

I am ready to discuss the details and set the update frequency. Please message me privately; I would be happy to collaborate! Expand

Budget: 1500 UAH Deadline: 1 day

Hello! I have experience creating similar Telegram bots. I offer a loyal price and quality work. Write to me)

Budget: 10000 UAH Deadline: 7 days

Hello! The approach for these three websites is different, and it affects speed and reliability. On olx, there is a mobile API, from which I take ads directly in JSON, cleanly and without the risk of blocks. Lun and rieltor.ua keep data in JS, where I either read their internal requests or render through headless, with pauses and rotation to avoid getting banned during constant monitoring.

Since this is monitoring, the main thing is not to duplicate: I remember each ad by id, and only new ones go to Telegram, not the same object repeatedly. I send structured information: price, rooms, area, link, and photo, so it’s clear at first glance.

I will apply filters based on your criteria (price, area, rooms) directly during the collection. We can discuss project details in private. I look forward to collaborating.

Budget: 2300 UAH Deadline: 4 days

Good day.
I have experience in writing parsers and especially with Telegram automation.

I see the parsing process through the Playwright browser, and possibly with proxies. OLX, Lun, and Rieltor.ua have serious bot protection systems.
All duplicates will be removed at the database level, so you will only receive unique notifications. For convenience, I suggest adding filtering using Telegram's built-in feature - hashtags (e.g., #1_room, #Pechersk, etc.). This will allow you to instantly search for what you need in the chat itself.

Budget: 26000 UAH Deadline: 14 days

Hello! Real estate websites, especially OLX and LUN, have very strict anti-scraping protection (Cloudflare/Akamai), so regular curl requests will get banned within the first few minutes of operation. I have successful experience in developing ad trackers on Laravel and know how to bypass these blocks through proper proxy rotation, header emulation, and working with hidden site APIs without launching heavy browsers. The bot will operate through queues (Laravel Queues + Redis), instantly catching new apartments, filtering duplicates by ad hash, and sending you structured cards with photos, prices, and quick buttons in Telegram. Let's discuss!

Budget: 10000 UAH Deadline: 3 days

There is a ready solution, I can connect it to your bot and set a list of required filters for each site. As a result, you will have your own channel with your own bot, where you will receive announcements a few minutes after they appear on the sites. And you won't need to have your own server, you won't need to buy proxies, and you won't have to think about updating the code in case of changes on the source sites. The price in the bid is indicated for the initial setup and the first month of operation. Each subsequent month will be paid additionally, the price will be discussed, and it will depend on the number of filters that will be in operation. Approximately 1-3 thousand UAH per month.

Budget: 3000 UAH Deadline: 5 days

I will create a bot that pulls new listings from three websites and sends them to Telegram as a card: photo, price, address, rooms, link. Duplicates are filtered out by the database, not just by the link: LUN pulls some listings from OLX, so the check is done by content to ensure that the same apartment does not come twice from different sites.

I collect data in a hybrid way: where the site provides data through simple requests, I work without a browser, which is faster and more stable, and I only use browser emulation for LUN, which is currently behind Cloudflare. I have written similar monitors for myself, so I am familiar with the pitfalls of these protections.

Filters (city, price, rooms) can be set up directly in the bot. We will discuss the details in the chat.

Budget: 700 UAH Deadline: 1 day

Good day, I already have experience in developing Telegram bots, ready to start right now, I will complete everything in the best possible way.

Budget: 15000 UAH Deadline: 7 days

LUN aggregates listings from OLX and several other platforms — meaning these two sources are not independent, and without deduplication, some apartments will appear in Telegram twice under different links.

I build the deduplication on the hash of significant fields — address, price, photo — rather than on the URL: a reposted listing with a new ID and new link, but the same content, will not pass through again under this logic. I store this in SQLite: one table, UNIQUE constraint on the hash, record through INSERT OR IGNORE, and a last_seen column — this way, it’s clear which apartments haven’t appeared in results for a long time, and they can be removed from the list of current ones. A separate database server is not needed here — one process that checks three sites on a schedule, and the SQLite file is handled without issues and backed up by copying.

For data extraction, I take different approaches for each site. OLX does not have a fast public API — there is a partner one, with an application and waiting, so I monitor through an internal JSON endpoint used by the frontend itself: it’s more stable and cheaper than constantly rendering pages in a browser. LUN and rieltor.ua do not provide such an option; browser scraping is required there — and the protection there in 2026 looks not at the User-Agent, but at the TLS/HTTP2 fingerprint and page behavior. I set up Playwright with stealth patches and proxy rotation, rather than in the default form — otherwise, it will catch a captcha within a week.

The scheme: a worker retrieves new listings from each platform separately on a schedule, checks against the database, and sends a structured card to Telegram — photo, price, address, link to the original.

Budget: 1000 UAH Deadline: 1 day

I am glad. I have experience in creating stable parsers for the specified resources. I need to familiarize myself with the detailed technical specifications. I have extensive experience in creating various parsers. I am ready to collaborate.

Budget: 4500 UAH Deadline: 6 days

Hello, I can implement this.
The bot will automatically track new listings based on specified filters, exclude duplicates, and send them to Telegram in a convenient structured format.
I have experience in developing parsers, monitoring systems, and Telegram bots.

As a result, you will receive a ready-made solution with the ability to customize filters, check intervals, and message formats.
If needed, notifications can be added only for new listings, logging, and the ability to easily expand functionality in the future.

Please let me know what specific filters are needed and whether the bot will send listings only to you or to multiple users?

Budget: 2500 UAH Deadline: 3 days

Hello, Mikhail! The task is clear and manageable — I created a similar bot for real estate monitoring (dom.ria), here’s a video of how it works: Google Drive

Plan: the script will log into OLX, LUN, and Rieltor.ua based on your filters, fetch new listings, compare them with those already sent (to avoid duplicates), and send them to Telegram as a card — photo, price, area, link to the listing. Checking every 5-10 minutes, the frequency can be adjusted.

Please let me know: what are your filtering criteria (city, price, rooms) — and where is it better to send messages, to a chat or a channel?

Budget: 2500 UAH Deadline: 2 days

Hello! The task is clear and technically not difficult for me — I have done similar work: parsing + structuring data with subsequent notifications sent to Telegram (for example, real-time notifications about task statuses in a data pipeline project). I will implement it this way: a separate parser for each of the three sites (OLX, LUN, rieltor.ua have different page structures, so a unified parser won't work effectively), polling with a reasonable interval (to avoid IP blocking), deduplication of already sent ads (so the same one doesn't come again), structured messages in Telegram (price, address, number of rooms, area, link, photo if available). A few clarifications before evaluation:
— Do you need filters (price range, district/city, number of rooms), or should all new ads be displayed?
— Is the bot for one user (you) or should it have a subscription for multiple people/channel?
— How many times a day/hour do you need updates — real real-time or is checking every 10-15 minutes sufficient?
I am ready to start immediately after clarifying the details.

Budget: 8000 UAH Deadline: 7 days

Good day
I can take on the writing of a similar program with notifications using a Telegram bot. The final price and deadlines will depend on the parameters by which the announcements need to be filtered (location, price, type), and which parameters need to be collected and sent to Telegram. There is also the question of how quickly the announcements should arrive in Telegram after being published on the site.

Budget: 12000 UAH Deadline: 10 days

Good day! We have experience in developing parsers for complex platforms. We implement this through asynchronous scripts in Python, which will ensure quick data retrieval from OLX, LUN, and Rieltor. We will set up flexible filtering and a convenient message structure in your Telegram bot. We are ready to discuss the details of technical implementation and the database architecture to avoid duplicates.

Budget: 5000 UAH Deadline: 5 days

Hello, I am ready to implement a solution for your case; the program will monitor the announcements.

Budget: 2000 UAH Deadline: 2 days

Hello. My name is Volodymyr, I am a Python and Node.js developer, as well as the founder of the engineering agency Vaysed. I have thoroughly reviewed your task. I understand that you need to create a monitoring system for new apartment rental listings from the platforms OLX, LUN, and Rieltor.ua, with subsequent structured sending of results to Telegram.
To implement this task, I propose to build a microservice architecture based on Python. Data collection from the platforms will be carried out using asynchronous parsers with proxy server rotation, which will reliably bypass anti-scraping protection systems. The core of the Telegram bot for receiving and displaying notifications will be written using the modern aiogram 3 framework. To avoid sending duplicates, we will use a MongoDB or PostgreSQL database for quick storage and verification of identifiers of already processed listings. The system for periodic polling of the sites will be organized through task queues based on Redis, and the entire application will be packaged in Docker for quick deployment on the server.
I have significant experience in developing continuous monitoring systems and rapid notification. For example, in the Lumos project, I implemented complex asynchronous monitoring of external data sources with instant message dispatch to users. Additionally, I have already successfully completed exactly the same project for developing a bot for monitoring new listings, the details of which you can find at this link: https://freelancehunt.com/project/bot-dlya-olx-monitoring-novih/1629271.html
You can view my main portfolio at the link Freelancehunt
I suggest discussing the technical details of parsing and the desired format for displaying listings in private messages.

Budget: 5000 UAH Deadline: 4 days

Good day.
I can create a bot that will track new listings on OLX, LUN, and RIELTOR.UA, normalize data from different sites, filter out duplicates, and send them to Telegram in a single format.
I will also check where it is more stable to obtain data from each site: from open queries, pages, or through browser automation if the content is loaded dynamically.

Budget: 1234 UAH Deadline: 1 day

Hello! I have experience in data parsing and bot development. I would be happy to help you!

Budget: 15000 UAH Deadline: 15 days

Good day. There is already a ready parser for Olx with notifications in Telegram. I can make the same parser for 2 other platforms.

Budget: 5000 UAH Deadline: 10 days

Hello! I am ready to implement this bot.

The task is clear: maximum speed in obtaining new listings to outpace competitors.

I suggest dividing the development into several stages:
1. Development of the Telegram bot, integration of the database, and implementation of the first parser for Rieltor.ua - 2500 UAH.
2. Connection and configuration of parsers for LUN and setting up filters - 500 UAH.
3. Connection of the parser for OLX with bypassing protection and deployment of the project on a VPS server - 2000 UAH.

Proposed functionality of the bot:
Convenient filter settings directly in Telegram (city, price, number of rooms).
A database that will remember already sent listings so you do not receive duplicates.
Structured output: Photo, price, link, contacts. Expand

Budget: 1000 UAH Deadline: 1 day

Mykhailo, I parse advertisement sites and create Telegram bots on a regular basis. I have many reviews of completed work and examples in my portfolio.

What I will do:
— a parser for each site separately (OLX, LUN, Rieltor.ua) with protection bypass using Playwright — it handles JS rendering and Cloudflare;
— SQLite for deduplication, so that one advertisement does not appear twice;
— a card in Telegram: photo, price, address, area/rooms, link;
— a command in the bot to change filters (district/price/rooms) without stopping the bot.

- The price and timeline depend on whether support is needed after launch (sites may change their layout — the parser will need to be updated), and whether I take care of deployment on the server or hand over the ready code to you.

Budget: 8000 UAH Deadline: 5 days

Hello! I have extensive experience in developing parsers for real estate websites and integrating them with Telegram bots. I implement monitoring for OLX, LUN, and Rieltor.ua using Python (libraries BeautifulSoup/Selenium/Playwright and aiogram for the bot). The ads will come in a convenient structured format with links and key features. I am ready to discuss the details, feel free to write.

Budget: 3000 UAH Deadline: 10 days

Hello! I am creating a Telegram bot that will monitor listings on the websites olx, lun, rieltor.ua and send them in a structured format. I will use Python with libraries for parsing and working with the Telegram API, which will allow me to collect data in 5 minutes from each site. If needed, I can send code examples and the architecture of the solution in private messages.

Budget: 4000 UAH Deadline: 5 days

Mikhail, I understand the task: you need a tool for quickly obtaining current rental options to avoid wasting time on manual page updates. For working with OLX, LUN, and Rieltor, it's important to set up stable queries that are not blocked by the sites and to structure the data for convenient viewing in Telegram. First, I will set up data collection from each resource, and then I will integrate them into a single stream of messages. Please let me know if you already have a Telegram bot created or if a new one needs to be registered from scratch.

Budget: 1600 UAH Deadline: 2 days

Hello! I can develop a Telegram bot for automatic monitoring of new listings from OLX, LUN, and Rieltor.ua. The bot will be able to regularly check the websites, filter apartments based on specified parameters: city, district, price, number of rooms, area, and other filters. New listings will be sent to Telegram in a structured format: photo, price, address, characteristics, description, and a link to the original. I will also implement protection against resending identical listings, configure the frequency of checks, log errors, and allow changing filters through bot commands. Technologically, I propose Python, Aiogram, PostgreSQL or SQLite, asynchronous data collection, and deployment on VPS. I am ready to discuss the exact filters, monitoring frequency, and message format.

Budget: 3500 UAH Deadline: 5 days

Hello, Mikhail! Great task, I have thoroughly reviewed the requirements for real estate monitoring. I specialize in asynchronous development of Telegram bots using Python 3.12 (aiogram 3.x) and data parsing, so I am ready to implement a stable and fast automatic tracking system for you.

Full parsing of OLX, LUN, and Rieltor.ua has its technical complexities, so I propose a professional architecture that won't "crash" after a day of work:

1. Bypassing protection and Cloudflare: Real estate websites (especially LUN) are actively protected against bots. Instead of regular simple requests, I will set up parsing through Playwright (emulating a real browser). This will allow the script to bypass captchas and Cloudflare without issues.
2. Duplicate checking (Database): The bot will not send you the same listing multiple times. We will deploy a lightweight SQLite database. The script will check the unique ID of the apartment and send only new, fresh listings to the chat.
3. Structured cards in Telegram: Information will come in a clear and beautiful format: Photo, Title, Price, Area/Address, Brief description, and a direct link to the source.
4. Uninterrupted operation 24/7: I will fully set up and deploy the entire system for free on a Railway server via GitHub. The bot will operate autonomously, and you will be able to manage the frequency of checks (for example, every 5-10 minutes) directly from the interface.

All development will be done in pure Python, and the code will be commented. I will hand over the project "turnkey" with complete instructions for launching.

Please let me know what criteria are planned for filtering listings (city, price, number of rooms), and whether these filters need to be displayed in the bot's settings so that you can change them on the fly? Expand

Budget: 999 UAH Deadline: 1 day

Good day. I have a fully prepared project specifically for your needs. I will provide all the links in private.

Budget: 10000 UAH Deadline: 7 days

I worked with all three websites, Lun started to be protected by Cloudflare a month ago, I am bypassing it as well. Write the details in private, we will discuss, the price depends on these details.

Budget: 1000 UAH Deadline: 2 days

Good day!

I won't waste your time with a long template description — I will show a test result of the parser on real ads on the very first day.

I will implement a parser in Python with:

— automatic collection of all necessary fields;
— page navigation and pagination;
— data cleaning and duplicate removal;
— error handling and retries;
— export to Excel, CSV, Google Sheets, or a database;
— the ability to run the parser again to get new ads.

If the site is dynamic, I will use Playwright to ensure stable data collection. After completion, I will provide the source code and a brief instruction on how to run it.

I can start today. To begin, it is enough to clarify the source website, the required fields, and the format of the final file. Expand

Budget: 4000 UAH Deadline: 5 days

Hello! I can create a Telegram bot for monitoring ads on specified websites. I will use Python for parsing and integration with Telegram. I am ready to discuss the details. I have already made a parser for Olx and Realtor.

Budget: 3000 UAH Deadline: 3 days

Ready to do it.

Budget: 4000 UAH Deadline: 1 day

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

Budget: 1000 UAH Deadline: 1 day

Hello. I propose the implementation of a Telegram bot for monitoring announcements, using an architecture based on asynchronous parsers (for example, Playwright for resilience to changes in website structure), a reliable data storage system with indexing for quick search and prevention of duplicates. I will ensure the stable operation of the system with automatic detection and handling of parsing errors, as well as optimization of server resources for uninterrupted monitoring in 24/7 mode. I have ready-made developments and templates for creating similar content aggregators and integration with the Telegram API, which will significantly speed up the project launch. I suggest discussing all implementation details, final budget, and deadlines in private messages.