Budget: 27000 UAH Deadline: 10 days
To parse 50,000 contacts, it is necessary to have that many in the area you need, and also a very large number of OLX accounts to open the contacts or spend a lot of time on this. With such costs, the payment should be at least 0.5 UAH per contact.
Budget: 5000 UAH Deadline: 2 days
Hello!
I have experience in implementing high-complexity parsing. I understand the specifics of working with OLX.ua: I know how their protection works and I am ready to build a stable pipeline for collecting current contacts from Kyiv and the region.
Technical stack and approach to implementation:
Tools: For data collection, I plan to use [Python + Playwright/Selenium] or [Scrapy] (depending on the need for JS rendering). To speed up the work and process large volumes, the use of asynchronous libraries (aiohttp) is possible.
Bypassing protection:
Rotation Proxy: Using a pool of residential or mobile proxies to change IPs to avoid IP bans.
User-Agent Rotation: Dynamic substitution of headers (User-Agent, Referer) to simulate the behavior of a real user.
CAPTCHA: Integration of services for automatic CAPTCHA solving (for example, 2Captcha or Anti-Captcha), if it arises.
Data:
Deduplication: Built-in checks at the script level (checking ad_id in SQL or Redis) to avoid duplicates.
Validation: Filtering numbers for format correctness.
Format: Output of data in a clean form (Excel/CSV/JSON/Google Sheets).
Budget: 5000 UAH Deadline: 4 days
Hello! I have experience in developing asynchronous parsers in Python and I am ready to implement daily collection of a valid database of numbers from OLX.
How I will implement this:
Technologies: I will use Python + Playwright (headless browser) to simulate the actions of a real user and click the "Show number" button. This guarantees the retrieval of phone numbers, not just links.
Anti-ban system: I will use proxy rotation and mobile User-Agents so that OLX does not block requests during high volumes.
Validation and uniqueness: Each contact is checked by the ad ID through a local database (SQLite), which completely eliminates duplicates in your Excel/CSV file.
Filtering: I will set up precise collection based on your categories and geolocation (Kyiv/region).
Performance: I can realistically deliver from 3,000 to 7,000 fresh contacts daily (depending on the speed of new ads appearing in the selected categories).
Price: I agree to your rate of 0.1 UAH per contact. I am ready to provide a test export (50-100 numbers) to confirm quality and speed.
I am ready to start working as early as tomorrow. I look forward to your feedback!
Budget: 5000 UAH Deadline: 1 day
Good day! We are the company Devoxen, and we have extensive experience in similar projects, particularly in parsing OLX and collecting large volumes of contact data with verification for relevance and duplicates.
We can implement a stable process for collecting new listings with filtering by region, categories, and publication date, obtaining phone numbers, checking for uniqueness by ID, and forming a database in CSV/Excel format. We can also set up daily automatic collection with the required volume and quality control of the data.
I suggest moving to private messages for a more detailed discussion of the technical specifications, deadlines, and costs.
Budget: 5000 UAH Deadline: 3 days
Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best result.
Budget: 5000 UAH Deadline: 3 days
Good day!
I have a deep understanding of the OLX structure and significant experience in parsing to collect relevant, unique contacts. I am ready to gather 50,000+ numbers from Kyiv/region, using my own scripts with proxy servers. I will provide a daily volume of up to 5,000+ contacts in CSV/Excel.
Write to me in private messages, we will discuss the details and potential ongoing collaboration.
