Budget: 3000 UAH Deadline: 2 days
Good evening, Tores!
In general, the task is clear, but for 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: 10400 UAH Deadline: 10 days
Good day. There is a ready parser for OLX and Dim.Ria, we can discuss writing a parser for LUN. The price is indicated for 2 ready parsers. I will be happy to collaborate.
Looking forward to working with you!
Budget: 3000 UAH Deadline: 1 day
Hello, I worked on an OLX parsing project for commercial real estate – over a thousand listings daily, data: price, area, contact. How do you plan to filter the listings by regions? I suggest we get in touch, I will consult you for free on the technical side and we will create a development plan + I will tell you about my team!
Budget: 3000 UAH Deadline: 4 days
Good day!
I have reviewed your project regarding parsing real estate platforms (LUN, OLX, and possibly DIM.RIA). I am ready to take on this task.
I have experience in developing parsers and automating data collection, including for complex websites with bot protection. I understand what technologies (such as proxy servers, browser emulation) are needed for stable operation with platforms like OLX.
My proposal includes:
Development of a script that will collect the necessary data according to your filters.
Output of data in a format convenient for you (Excel, CSV, JSON, etc.).
Free support and bug fixes for 14 days after project delivery (for example, if one of the websites updates its structure and the parser stops working correctly).
For an accurate assessment of cost and timelines, I would like to clarify a few details:
What specific fields from the listings need to be collected (price, area, address, description, photos, contacts)?
Are there specific cities/regions and filters for which data needs to be collected?
In what format is it most convenient for you to receive the result?
I am ready to discuss the details. Please reach out!
Budget: 3000 UAH Deadline: 7 days
Hello!
I am a Python developer, working with parsing, process automation, and creating Telegram bots.
I use Scrapy, Selenium, and BeautifulSoup, setting up scheduled updates so that the data is always current without manual intervention.
I can customize everything to your needs — message format, filters, update frequency, etc.
I am ready to discuss the details and scope of work.
Budget: 3000 UAH Deadline: 7 days
Hello!
The task is clear and not difficult — the main thing is to set up stable parsing and daily updates. I actually need a similar project in my portfolio, so I will do everything well and at a reasonable rate. I have specified a fairly broad deadline, but the order will likely be ready much earlier.
Budget: 3000 UAH Deadline: 2 days
Good day! I am engaged in creating parsers in Python. I have extensive work experience.
Budget: 3000 UAH Deadline: 2 days
Hello!
I am interested in your project and I am ready to take on its execution. I have extensive experience in developing similar platforms and admin panels for them - I am happy to help.
And here are the works I am NOT ASHAMED of -
1) Admin panels and CRM system modules - 
Behance
2) Telegram bot for registering new students + built-in admin panel Behance
3) Design development and its implementation into a finished product (personal page of an English and French tutor):
https://www.aniriyar.com/
4) Development of an extension for Outlook: Behance
Open to communication and discussion of details.
Budget: 4000 UAH Deadline: 1 day
Hello! I am ready to complete this project. I have extensive experience in developing various applications.
Budget: 3000 UAH Deadline: 1 day
Hello,
I have significant experience in the field of parsing.
I would like to get more details, specifically which real estate platforms you are interested in.
I look forward to your response.
Budget: 3000 UAH Deadline: 2 days
Good day
I will write and provide a parser for lun.ua. You will be able to run it on your PC at a convenient time for you.
You will receive:
Title, address, price and currency (usd or uah), area (total, room), floor and their quantity in the building, agency or owner, phone number(s).
For clarification of all details, please write in private.
Budget: 3000 UAH Deadline: 2 days
Good morning, Alex!
Overall, the task is clear, but for 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: 3000 UAH Deadline: 1 day
Good afternoon
I have experience in parsing
Write to me
I will be happy to quickly complete your work
Budget: 3000 UAH Deadline: 2 days
Hello.
As far as I understand, your main goal is to create a reliable continuous data analysis system that will collect real estate data from priority platforms such as LUN, extract key information about properties, and automatically send structured updates via messengers daily. My approach will include developing a robust data collection pipeline with anti-blocking mechanisms, data validation, and intelligent filtering to ensure you receive accurate information on prices, areas, floors, commissions, and direct contact numbers. I will also design the system to be easily scalable and fully automated, requiring no manual intervention after deployment. I am ready to provide a detailed proposal with timelines and costs based on the platforms you choose and integration with messengers.
Budget: 3000 UAH Deadline: 1 day
Hello! I have experience in parsing Ukrainian real estate rating platforms, specifically I have worked on similar projects for real estate in Kyiv and Lviv.
I will perform regular daily data collection from LUN, OLX, and DIM.RIA with extraction to Telegram, using Python libraries Selenium and Requests for adaptive bypassing of blocks.
I will add notifications about errors and changes in the structure of the websites, which will ensure stable operation of the system without your intervention.
I am ready to start as early as tomorrow.
Budget: 3000 UAH Deadline: 2 days
Hello, I have familiarized myself with the task. I will write a convenient parser with clear documentation.
Budget: 3000 UAH Deadline: 3 days
My niche, web scraping and automation specialist!
I am the one you need, contact me!
Budget: 3333 UAH Deadline: 11 days
I am engaged in parsing on a regular basis, I host parsers on my servers with support for their operation.
I am familiar with the specified websites.
It is necessary to clarify the implementation details, write to discuss.
Budget: 3000 UAH Deadline: 3 days
Hello!
I am ready to complete this task. I can set up daily parsing from all necessary platforms (including LUN) with data sent to the messenger.
I can start today.
Budget: 3000 UAH Deadline: 1 day
Hello!
I have experience in developing parsers for real estate websites (including LUN, OLX, DIM.RIA) with regular data updates. I can implement the collection of specified parameters and automatic sending of new listings to a messenger.
To accurately assess the cost and timelines, we need to agree on:
• which specific regions or types of real estate to parse;
• the output format (table, bot, chat message).
After clarification, I will be able to offer the optimal solution for your request.
Best regards,
Oleksandr | Data Scraping / Automation
Budget: 10000 UAH Deadline: 1 day
Good day!
My name is Roman, and I am among the top 5 developers in the "Artificial Intelligence and Machine Learning" category out of ~1600 specialists on the platform.
I guarantee:
- Fast and quality task execution
- Strict adherence to deadlines
- Regular communication throughout the entire process
I would be happy to discuss the details of your project in private messages.
Budget: 3000 UAH Deadline: 7 days
Hello, I have developed several similar projects for parsing dom.ria, olx, lun, realtor.ua.
I have a few questions regarding the project, I would be happy to discuss.
Budget: 4000 UAH Deadline: 1 day
Good day
I am ready to perform parsing for you according to the specified websites and I would be happy to discuss the details.
