Thank you for the quick and active cooperation. Yaroslav immediately understood the essence of the task and completed it responsibly.
We managed to do what we planned.
We managed to do what we planned.
5
0
Budget: 14997 UAH Deadline: 10 days
I have experience parsing Netflix, Instagram, Reddit, and others
I will confidently and quickly complete your task
Let's discuss the details in private messages
70
0
Budget: 3000 UAH Deadline: 3 days
Good day!
I have extensive experience in both manual and automated collection and processing of various types of information. Examples of completed projects and reviews can be viewed in my profile, more details are available in private messages.
Examples of completed projects:
https://freelancehunt.com/project/analiz-konkurentiv/1500505.html
https://freelancehunt.com/project/zibrati-spisok-naykrutishih-programistiv/1493621.html
https://freelancehunt.com/project/rozsilka-rezyume-na-indeed/1403537.html
https://freelancehunt.com/project/zbir-bazi-potentsiynih-klientiv-dlya-autsorsingovogo/1436641.html
Available for work, ready to start immediately after discussing the details of cooperation.
105
2
Budget: 2000 UAH Deadline: 2 days
I can gather information on the required group since 2015. It will include all information except the quantity. I suggest we discuss.
1
0
Budget: 15000 UAH Deadline: 6 days
Hello! I understand that you need to collect a large volume of contact data and procurement data from Prozorro and similar government platforms in a structured and automated way.
For this, I would develop a scalable data parsing tool in Python using Playwright or Selenium for browser automation and BeautifulSoup for HTML parsing. The tool will extract data about auctions, including contact details, quantities, prices, and classifier codes, and organize them in CSV format or Google Sheets. I will ensure support for pagination and filtering by keywords, region, or year according to your product category.
To ensure security and reliability, I will implement error handling, request limiting, and logging. If login is required, I will include sessions with authentication or cookie support for access to legal entities.
I have developed several data parsing pipelines for trading platforms and procurement sites and am confident I can offer an accurate and efficient solution.
Do you prefer the tool to run locally or should I deploy it in the cloud?
Looking forward to working together.
Best regards,
Tatyana
0
0
Budget: 1500 UAH Deadline: 2 days
Hello! I have experience in parsing and have preliminary familiarized myself with the proposed websites (https://prozorro.gov.ua/uk and https://zakupivli.pro/). I see possible solutions for obtaining this information. The approximate stack I can use is beautifulsoup4 for extracting elements from HTML. Initially, access to the account as an individual entrepreneur or a legal entity is required.
54
1
Budget: 999 UAH Deadline: 2 days
Good day
I can create an automated script in Python for collecting contact data from government procurement websites.
Using libraries: requests, httpx for fetching pages, BeautifulSoup or lxml for HTML parsing, pandas for saving into a table, csv or Excel for export.
The script will be able to automatically browse auction pages, filter required categories of goods, collect company name, EDRPOU, contact person, email, phone, website, region, etc., and save everything into a table.
To implement this, access to the account as an individual entrepreneur or legal entity is needed (directly or temporary access).
Regarding time — approximately 1–2 days, depending on details.
Ready to coordinate everything and start immediately.
0
0
Budget: 2000 UAH Deadline: 5 days
A detailed breakdown of the period for which the sample needs to be taken
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