Budget: 700 UAH Deadline: 1 day
Hello, I have experience in developing many parsers.
Write to me, we will discuss the terms.
Budget: 700 UAH Deadline: 1 day
Good day. More information is needed to assess the order.
Looking forward to working with you!
Budget: 1000 UAH Deadline: 2 days
Hello, Dmitry!
I can implement a parser for classified ad boards with subsequent data segmentation by categories (and if necessary — by regions, types of ads, key parameters, etc.).
For an accurate assessment, I need to clarify:
which specific boards need to be parsed
which data fields are critical
volume (one-time or on an ongoing basis)
is authorotation / bypassing protection / logins needed
After that, I will be able to estimate the timelines and costs.
Budget: 700 UAH Deadline: 1 day
Hello! I am ready to complete your project after receiving access and details.
Budget: 700 UAH Deadline: 1 day
Good day!
I will create a parser for bulletin boards with segmentation by categories.
What I will do:
Parsing advertisements from specified boards
Segmentation by categories
Exporting to Excel / Database / any convenient format
Which specific boards and what output format is needed?
Budget: 5000 UAH Deadline: 1 day
Good day. I am ready to complete this project and have extensive experience in developing various applications.
Budget: 700 UAH Deadline: 2 days
Good day!
For this work, I want 600 UAH.
I am ready to develop a parser for classifieds with categorization. I have experience creating similar solutions for collecting and structuring data from various websites.
What I can implement:
Parsing ads from the required resources (considering the website structure);
Data distribution by categories (automatic classification);
Collection of key fields: title, description, price, contacts, photos, etc.;
Protection against blocks (delays, User-Agent rotation, proxies if needed);
Export in a convenient format: CSV / JSON / database;
Ability for regular execution (cron) for data updates.
Technologies:
Python (BeautifulSoup / Scrapy / Selenium — depending on the website and complexity).
As a result:
A ready script + instructions for execution. If needed — support and improvements.
I would be happy to discuss the details: which specific websites need to be parsed and which categories you are interested in.
Thank you!
Budget: 2000 UAH Deadline: 5 days
Hello!
I can develop such a parser for you.
It would be good to look at the websites that need to be parsed.
Budget: 700 UAH Deadline: 1 day
Good evening, Dmitry!
In general, the task is clear, but for an accurate answer 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: 1000 UAH Deadline: 1 day
Good day! I will implement this functionality in Node.js and TypeScript. If the platforms you need have open APIs, I suggest using them for greater stability and speed of operation, but otherwise, I will write a reliable scraper. The script will clearly structure and distribute all the collected information into the specified categories. I am waiting for the list of platforms in private messages, where we can also discuss the deadlines and cost of completing the task in detail.
Budget: 1000 UAH Deadline: 1 day
Good day! Your task is clear: you need not just a script, but a reliable tool that can distinguish between "apartment" and "vacancy" and consistently collect data. Our team specializes in automating data collection and working with large volumes of information.
Why choose us:
Smart segmentation: We implement an algorithm that automatically categorizes listings, saving you time on manual sorting.
Bypassing blocks: We use modern methods (headless browsers, proxy rotation) to ensure the parser runs smoothly.
Convenient format: We can configure the output in JSON, CSV, Excel, or directly into your database/Telegram.
We offer three approaches to the solution:
Light: A Chrome extension for quick data collection from open pages.
Standard (Recommended): A server-side parser on Node.js that operates autonomously and collects thousands of listings per hour.
Premium: A desktop application in Java with advanced functionality, filters, and high processing speed.
Let's clarify which specific boards you need to collect data from? We are ready to propose the optimal architecture today!
Budget: 700 UAH Deadline: 1 day
Hello, I can implement a parser.
I will set up the collection of ads with distribution by sections, saving key fields, and the possibility of further processing or filtering.
I have experience in developing such parsers.
As a result, you will receive a ready tool or export (Excel/Google Sheets) with clear categorization and clean data.
Please let me know which specific websites need to be parsed and what data about the ads you are interested in?
Budget: 1000 UAH Deadline: 1 day
Hello!
I have extensive experience in developing parsers for classifieds, directories, and open online databases.
On the technical side, I can implement the collection of ads from the necessary platforms, segmentation by categories, duplicate removal, saving data in a convenient table/database, setting up filters, regular updates, and exporting in the required format.
I suggest we move to private messages for a detailed discussion of the list of boards, categories, and data structure. I am ready to start immediately after the discussion.
Budget: 2000 UAH Deadline: 3 days
Hello! I am ready to prepare the necessary parsers for classified ads with segmentation into categories. Write to me.
Budget: 1000 UAH Deadline: 2 days
Good day, I am ready to take on the task. Please clarify the details: how many classified ad websites need to be parsed and how many categories are planned to be highlighted.
Budget: 2000 UAH Deadline: 2 days
Hello! I am Roman, an individual developer with 4 years of professional experience in full-stack development and automation, and I will professionally implement a parser for classified ads with intelligent segmentation by categories for you. With experience in developing complex data collection systems and B2B lead generation, I will build an architecture in Python that will automatically categorize ads by topics using regular expressions or lightweight ML models for text classification. I work exclusively as a freelancer through a sole proprietorship, which guarantees you direct communication, legal transparency, and clean code, and you can familiarize yourself with my approach to developing automated solutions and architecture at the following links: https://3magency.co/, https://jk-solution.com.ua/, https://farfieworldwide.com/, 
Behance.
Budget: 2000 UAH Deadline: 1 day
Dmytro, greetings!
I am engaged in the development of parsers and am ready to take on your project. To provide an accurate estimate of the timeline and cost, please tell me the names of the websites, as well as in what format you would like to receive the results.
Feel free to reach out - I will be happy to collaborate!
Budget: 1000 UAH Deadline: 2 days
Good day, I am ready to complete the task. Just clarify the details regarding the number of websites and the number of categories.
Budget: 700 UAH Deadline: 1 day
Hello, Dmitry! I have experience in parsing classified ads with segmentation, and I can start immediately. Please specify which boards exactly, which fields, and the volume (one-time or regularly), in what format to deliver the data (CSV/Google Sheets/DB), and how often updates are needed?
Budget: 1000 UAH Deadline: 2 days
Hello, I am ready. Write to me privately — which specific websites to parse and in what format the result is needed?
Budget: 1000 UAH Deadline: 3 days
Good day!
I am ready to develop a parser for classified ads boards with flexible segmentation into categories, as required by the technical specifications. I have experience with web parsing and APIs.
Please write to me in private messages, we will discuss the project details.
Budget: 1000 UAH Deadline: 1 day
Good day, I have developed parsers of various complexity and technology. I am ready to work, but I need a more detailed task. Write!
Budget: 1500 UAH Deadline: 2 days
Ready to take it on.
Need to clarify the order details, write!
I use python, uv, github, docker.
Budget: 5000 UAH Deadline: 5 days
I have experience in developing parsers for marketplaces, classifieds, company directories, and lead-generation systems, where stability of data collection, protection against blocking, correct data structure, and scalability for large volumes are critically important.
The main advantage of my work is not just a parser, but a ready-made tool that automatically collects, cleans, structures, and distributes advertisements into the necessary categories without manual processing.
I work with Python, Selenium, Playwright, Scrapy, API integrations, anti-bot protection, proxies, IP rotation, and automatic data saving in Google Sheets, CRM, databases, or CSV/XML/JSON formats.
Work plan:
Source analysis:
- defining the list of classifieds
- checking the structure of websites
- assessing protection against parsing
- determining fields for collection
Designing parser logic:
- data collection structure
- segmentation rules by categories
- logic for filtering duplicates
- data update rules
- final export format
Parser development:
- automatic collection of advertisements
- parsing texts, contacts, photos, prices, locations
- defining categories
- segmentation according to specified rules
- protection against blocking
- stable operation through proxies if necessary
Integration and export:
- Google Sheets
- Excel / CSV
- CRM
- database
- API export if needed
Testing and launch:
- checking data accuracy
- stability test
- speed optimization
- user instructions
- support after launch.
Budget: 1000 UAH Deadline: 1 day
Hello, I am a Python developer, I have experience in developing parsers of varying complexity. I can complete your project quickly and efficiently. Write to me - we will discuss the details. I am ready to start working today.
Budget: 27000 UAH Deadline: 8 days
Please advise: which specific bulletin boards need to be parsed (a list of 3–5 to start?), is there an example of target categories/mapping, in what format is it convenient to receive data (CSV/Google Sheets/DB), and how often are updates needed?
We have created aggregators for marketplaces and price monitoring: Python (FastAPI/Flask), stable parsing with proxies/delays, segmentation by categories, deduplication, saving in Postgres/Mongo, caching in Redis. If needed — a simple admin panel and dashboard on React for category mapping and viewing the status of data collection.
We are ready to start with an MVP: 1–2 boards + category mapping, then we will scale. Please write the details — we will agree on the plan and start today.
