Company database - parsing

Hello. I can take this on, but I want to be honest right away: I won’t promise "100% of phones and emails for all companies," because in real open sources, some contacts may be missing or outdated.

What I can do well: gather a database of legal entities in the required categories, filter out individual entrepreneurs, remove duplicates, categorize them, pull in names, managers, NACE codes/type of activity, regions, as well as phones and emails where they are available in open sources.

To avoid misunderstandings, I suggest starting with a test fragment of 100-200 companies. You will see the quality, structure, and percentage of found contacts. If the format works for you — then we can create the full database.

I will deliver the final file in Excel, with separate sheets by categories.

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Good day. I was gathering a similar database through prozorro, and I would like to understand the range of the number of entries for each file. I am ready to discuss the details and start working.

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Good day.

I can help with the formation of such databases in a structured format with export to Excel. Before starting, we need to separately agree on the selection criteria and data quality, as the sources and completeness of contact information may vary across different categories.

To adequately assess the volume and cost, I need to clarify:
— whether only current active companies are needed;
— how critical the completeness of emails/phones is;
— whether contact validation is required;

… After agreeing on the criteria, I will be able to provide a realistic estimate of the data volume and implementation format.

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Hello! I can collect and prepare such databases in Excel/CSV format with the necessary fields:
— company name
— manager
— type of activity
— region
— phone
— email

I work with large volumes of data, parsing, cleaning, and validating contacts.
… I can prepare:
— agricultural enterprises of Ukraine
— residents of Diia.City
— transport companies
— private medical companies

I can also:
— remove duplicates
— filter individual entrepreneurs
— check email validity
— categorize by categories/regions

Regarding timelines:
from 3 to 10 days depending on the volume and depth of verification.

Regarding cost:
approximately from $300+, more accurately after agreeing on the volume and number of contacts.

I can immediately show an example of the structure of the finished database or a test sample.

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I have been working in the field of data collection and processing for over 3 years. I specialize in creating large structured databases for businesses: company contacts, enterprises, niches, directories, Google Maps, open registries, and other sources.

I have extensive experience working with large volumes of information — from searching and parsing to cleaning, verifying, and structuring data into ready Excel spreadsheets. I work carefully, responsibly, and focused on results.

I can quickly find the necessary information, systematize it, and prepare quality databases tailored to the client's needs. I always meet deadlines and maintain communication during the project.

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Hello Dmitry, I am ready to complete the project. Please write in private messages so we can discuss the task in detail.

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Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best results.

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Good day
My name is Dmytro.
I can collect and prepare such databases in a structured Excel format with duplicate cleaning and data normalization.
I understand that you need not a "partial parsing," but a ready result with the most complete filling of contacts.
What I can prepare:
— agricultural enterprises of Ukraine (not individual entrepreneurs, from 10 employees)
— residents of Diia City
— transport companies
— private medical companies
… In the table there will be:
— company name
— manager
— type of activity
— region
— phone
— email
— additionally, I can add website and social media
I will also do:
— duplicate cleaning
— data structure verification
— filtering individual entrepreneurs
— categorization by categories/regions
I work with large volumes of data and automation of information collection, so I understand the importance of the quality of the database, not just the "number of rows."
I will be able to provide more precise information on timelines and costs after clarifying the desired volume and priority of categories.
I am ready to discuss the details 👍

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Good day, I am ready to complete your order, please write to me privately to discuss all the details.

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Good afternoon, Dmitry! I am ready to gather the necessary database for you. We can start, for example, with agricultural enterprises. In the table, there are the codes and the number of enterprises by them:
01.11 Growing of cereal crops (except rice), leguminous crops, and oilseed crops. 94,166 companies
01.13 Growing of vegetables and melons, root crops, and tubers. 2,759 companies
01.24 Growing of pome and stone fruits. 1,769 companies
01.41 Breeding of dairy cattle. 2,982 companies
01.42 Breeding of other cattle and buffaloes. 379 companies
01.46 Breeding of pigs. 1,108 companies
01.47 Breeding of poultry. 1,313 companies
Total agricultural enterprises by these codes: 104,476 enterprises.

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Hello. I will complete everything quickly and efficiently, I have noted all the wishes and conditions )

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Hello, I worked on parsing a database of over 15,000 Ukrainian IT companies for a FinTech startup - I extracted names, contacts of managers, areas of activity, and regions from open registers.

What specific sources have you considered for parsing agricultural enterprises? Do you need additional information about the size of the companies or their turnover?

I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!

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