Procurement Analytics

Budget: 4000 UAH Deadline: 4 days

Good day.
I have familiarized myself with the task. The key here is not just to gather 100 companies, but to correctly build the logic of selection: what exactly we consider to be the "largest purchasers" of disposable gloves for the year 2025, if Prozorro and tender selection are not used. Without this, it is easy to obtain a list that is formally filled out but does not solve the task as an analysis.
I can close this project as a structured analytical selection from open sources:
— search and selection of relevant enterprises;
— normalization of company names;
— collection of addresses and contact details;
— recording of procurement data for the year 2025;
— compiling the results into a neat table suitable for further work.
I work not in the format of "just throwing together a list," but in the format of a managed result: first, the selection criteria and sources are fixed, then an array is formed, duplicates are cleaned, fields are checked, and in the end, you receive not a chaotic selection, but a proper working analytical table.
I have practical experience in Python automation, data collection and verification, parsing, information structuring, and preparing tables for analytical tasks. I understand well the difference between "gathering something from the internet" and "collecting an array that can actually be used."
For this project, the benchmark is: 4000 UAH, 4 days. Expand

Budget: 2000 UAH Deadline: 2 days

Good afternoon.
I will gather the necessary database of enterprises. Since government tenders are excluded, I suggest using the API of specialized commercial platforms and customs databases to collect information, as the data on volumes will be more accurate. I will write a script in Node.js that will extract the required statistics and create a ready table for all items. We will discuss all the details in private messages.

Budget: 1000 UAH Deadline: 1 day

Good day, Alexey!
In general, the task is clear, but to provide an accurate response 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: 1500 UAH Deadline: 1 day

I have experience in parsing and analyzing large datasets, including commercial information, with subsequent structuring into convenient tables. I will be able to implement a script or service that will gather information on the 100 largest buyers of disposable gloves for the year 2025, exclusively not from tender platforms, taking into account all requested fields: name, actual name, address, contacts, and purchase amounts. I use PHP/Laravel for clean architecture, MySQL/PostgreSQL for data storage, as well as REST API for integration to ensure convenient access and further processing. I have over 12 years of experience in web development, particularly in complex projects involving parsing, CRM, and analytics, so I guarantee the quality and reliability of the solutions.

Budget: 1000 UAH Deadline: 2 days

Hello! I understand the task: I need a database of 100 large B2B consumers of disposable gloves (private sector, not Prozorro).

To be honest: there is no exact information on the amounts and volumes of purchases by private companies for the year 2025 in open inquiries (this is a commercial secret).

But I can solve your main task — to gather a database of top market players who objectively consume these gloves by the ton. I will collect networks of private medical centers, large dental clinics, and food production companies.

I will fill out the table strictly according to your format: Name / Actual name (legal entity) / Address / Contact details. Instead of "purchases," I can add a column with the scale of the company (for example, the number of branches), so you understand the potential volume.

Let me gather 5 such companies in a Google Sheet right now for a test. If the quality of the database meets your expectations — you will entrust this project to me.

Budget: 2000 UAH Deadline: 3 days

Hello!
I am ready to take on the task.
I will gather the companies, check the contacts, and organize everything in a table.

Budget: 1000 UAH Deadline: 3 days

Hello. I have experience in data parsing and automating the collection of information from open sources and registries. I will analyze the market for the year 2025 through customs import statistics, industry reports, and registries of large private networks in the fields of medicine, food industry, and retail. I will provide data in a table format with 100 entries, including legal and actual names, addresses, contacts, and estimated purchase volumes. I use Python for quick collection and structuring of the database.

Budget: 3000 UAH Deadline: 3 days

Hello! I understand the task: I will create a database of the 100 largest glove buyers for the year 2025, using import analytics, customs databases, and business registries.

My stack: Data search and collection (OSINT), working with registries, Excel/Google Sheets.

I am ready to discuss the timeline and cost of the work in private messages.

Best regards,

Olexiy.

Budget: 1000 UAH Deadline: 2 days

Good day. The task is clear, I can collect and structure data on enterprises in the form of a table.

I will implement:

search for information based on the required criteria
collection of contact details and addresses
a neat structured table

I can use automation to speed up the collection, as well as verify the data for accuracy.

I would like to clarify:

Are there preferred data sources?
In what format is the final table needed?

I am ready to start immediately. Expand

Budget: 3000 UAH Deadline: 3 days

Hello, Alexey! This work will cost 3000 UAH. I can start at any moment.

Budget: 1000 UAH Deadline: 3 days

Hello! I have studied your project and am ready to start working immediately. I guarantee excellent quality and promptness.