Extract the database of Ucontrol based on specific filters.

Budget: 4800 UAH Deadline: 4 days

Good day.

I have reviewed the task. In this project, it is important not just to scrape a list of companies, but to gather a relevant database across several specific categories, filter out individual entrepreneurs, remove duplicates, and bring everything to a normal working appearance.

I can perform the collection in the following segments:
— agricultural enterprises in Ukraine with more than 10 employees
— residents of Diia.City
— transportation companies
— private medical companies

I will provide a structured table with the following fields:
name, manager, type of activity, region, phone, email.

What the work includes:
— collection of companies in each segment
— exclusion of individual entrepreneurs
— cleaning and removal of duplicates
— normalization of data into a convenient Excel/CSV format

I work on such tasks using Python, so I do not just produce an export, but a result suitable for further work.

I will immediately note an important point: if contact details are not available in the open access of the source for some companies, such entries will be provided with the available fields without artificial filling.

Cost: 4800 UAH
Deadline: 4 days
Payment: through Safe Expand

Budget: 2000 UAH Deadline: 1 day

Hello.

I develop parsers in NodeJS. I am ready to take on the task. Write to me, we will discuss.

Budget: 2000 UAH Deadline: 4 days

Good day! I am ready to complete this task, write to me in private - we will discuss the details.

Budget: 10962 UAH Deadline: 4 days

I will create a structured database for you in Excel/Google Sheets format, using automated scripts to gather information from official registries. For agricultural enterprises, I will apply filters based on the NACE code and the number of employees (10+), for Diya City — the current registry of residents, and for medical and transport companies — a selection based on legal status (exclusively LLC, PE, JSC, etc.). Each row will contain the name, full name of the manager, NACE code, region, and verified contacts. I will ensure the validity of email addresses to minimize the bounce rate during the mailing. The estimated time for collecting and processing the complete database is 4 days, and the cost is $250. Do you need to separate the database into individual files by regions, or is it better to create one general registry with filters?

Budget: 2222 UAH Deadline: 2 days

Hello Dmitry, I will do it.
Message me privately to discuss the work in more detail.

Budget: 5000 UAH Deadline: 1 day

Good day. I am ready to complete this project as I have extensive experience in application development.

Budget: 2000 UAH Deadline: 2 days

Good day.
I am ready to write a parser for collecting the necessary data in Python.

Budget: 2222 UAH Deadline: 2 days

Good evening, I am ready to complete your order and will be happy to collaborate further. Write to me here in private messages, I will send you examples of my work. I can also send you a link to my portfolio.

Budget: 2000 UAH Deadline: 2 days

Hello, I will make a quality parser in Python very quickly, I can start right away to show you as soon as possible!

Budget: 2000 UAH Deadline: 2 days

Good day!

I will collect a database of companies (agriculture, Diia.City, transport, medicine, without individual entrepreneurs).
Fields: name, manager, NACE code, region, phone, email.

I can do a test. Please specify the volume.

Budget: 2000 UAH Deadline: 3 days

Hello!
I am ready to complete your project.
I have experience in collecting B2B contacts through web scraping.
An example of similar work I have done before:
https://docs.google.com/spreadsheets/d/15-5CUjRQGhIxevpyuA6N2_kankpwbwZ5/edit?usp=sharing&ouid=102572697027067735953&rtpof=true&sd=true

Budget: 2000 UAH Deadline: 2 days

Good evening!
I will complete your task within the clearly specified deadlines, with attention to detail and the technical assignment.