Budget: 10000 UAH Deadline: 5 days
Good day! I create parsers for open registries — I extracted data from state registries into tables and via API. Newly created individual entrepreneurs/limited liability companies can be automatically collected from the open State Register. The question is: do you need a one-time export or should it automatically pull new data every day for the previous day? This will affect the solution.
Budget: 10000 UAH Deadline: 5 days
Hello.
I develop parsers in NodeJS. I can give it a try. Write to me, and we will discuss.
Budget: 10000 UAH Deadline: 5 days
Good day!
It is advisable to organize not a manual collection, but an automated retrieval of new registrations of individual entrepreneurs and legal entities, with subsequent data storage in Excel or Google Sheets.
I can develop a method that will filter newly created records by registration date and generate a table with available fields: name or full name, registration date, region, NACE code, status, EDRPOU code, and available contact details.
An important point: registration information can be collected systematically, but phone numbers and emails are not present in all records. If necessary, a separate enrichment of the database with contacts from open business sources can be considered.
I am ready to start after clarifying the source and the necessary fields.
Budget: 10000 UAH Deadline: 3 days
Good day.
The category of data parsing is indicated absolutely correctly. However, for such a task, working with APIs and open databases is also ideal.
I am ready to organize a stable automatic collection of contacts for new individual entrepreneurs and limited liability companies. The most reliable and legal way is to set up a script that will download official updates from the Unified State Register through the open data portal data gov ua or specialized services daily or weekly.
I will write a program that will filter companies by the latest registration date and extract all available contact information, including phone numbers and email addresses. All collected data will be automatically stored and sorted in a convenient format of an Excel table or Google Sheets.
For implementation, I propose using the Python language. This will make the system fast and completely autonomous. If needed, I can set up the sending of new contacts directly to your Telegram.
I am ready to discuss the details and make a test export to check the quality of the database.
Budget: 10000 UAH Deadline: 5 days
I can provide the price and timeline as the first stage - 10,000 UAH and 5 working days. For this, it is worth not writing a blind parser, but checking the sources, the update script, and creating a working collection of the first database. Look, there’s a nuance here - for individual entrepreneurs and LLCs, the normal path is most likely through public registers, open data, checking the freshness of records, and separate enrichment with contacts where it is legal =)
We would start with a mini-audit of the sources, then we would collect new records by registration date, deduplication, status verification, enrichment with contacts, and exporting to Google Sheets or a simple admin panel. If the source is unstable, we will establish a queue for checks, an error log, and manual moderation of suspicious records. This way, the system will work not just once, but as a regular process.
Two things need clarification:
> Which region is needed - all of Ukraine or specific regions?
> What contacts do you consider sufficient - phone, email, website, social media, only open sources?
Similar logical examples from Ingello:
> https://business.ingello.com/vorfahr - automation of data collection and processing for business processes
> https://business.ingello.com/platforma - an example of a platform with roles, data, and operational logic
> https://systems-fl.ingello.com/ua - Ingello Systems' approach to such tasks on FLH
!!It is important not to build this as chaotic scraping!! - it is better to establish sources, updates, verification, and rules for data usage; otherwise, the database will quickly become garbage.
Budget: 10000 UAH Deadline: 6 days
Denys, for collecting newly created individual entrepreneurs and limited liability companies, I would first identify the most reliable data source, and then choose the method: parsing, automatic collection from open registers, or a hybrid solution. I have experience with Laravel and MODX, so I can quickly assemble a working tool that will filter the necessary contacts and be convenient for further scaling. If you're interested, I will propose an optimal scheme for your tasks.
Budget: 10000 UAH Deadline: 5 days
Good day.
The task is better implemented not as a one-time parsing, but as a system for daily detection of newly created individual entrepreneurs and legal entities, followed by the search for available public contacts.
I propose to build the process in two stages.
First, the program retrieves new registrations from official open datasets or registry services available at the time of implementation. For each record, the following information is stored:
the name of the individual entrepreneur or legal entity;
the full name of the manager or entrepreneur;
the registration date;
the EDRPOU code;
the organizational form;
the main and additional types of economic activity (KVED);
the region and locality;
the current registration status.
After that, contact enrichment is initiated. The system searches only for openly published business data: website, corporate phone, email, company page, and other available communication channels. For each contact, a link to the source will be saved to verify the information.
It is important to consider: the official registration record does not always contain a phone number or email. Therefore, it is impossible to guarantee contact for every new individual entrepreneur. The correct result is a database of all found new registrations with contacts where they are actually available in open sources.
I propose to implement the following capabilities:
automatic daily launch;
filtering by registration date, region, KVED, and type of entity;
separate lists for individual entrepreneurs and limited liability companies;
search for public phones, emails, and websites;
removal of duplicates;
indication of the reliability level of the contact;
saving the source and verification date;
export to Excel or CSV;
if necessary — automatic updating of Google Sheets;
work log and error notifications.
For the first version, a local SQLite database is sufficient. If a large volume of data, multiple users, or further integration with CRM is expected, it is better to use PostgreSQL from the start.
Within a budget of 10,000 UAH, I can implement an MVP:
Retrieving newly created individual entrepreneurs and legal entities from an agreed source.
Filters by KVED, region, and date.
Basic enrichment with public contacts.
Removal of duplicates.
Export to Excel/CSV or Google Sheets.
Instructions for launching and setting up.
The estimated timeframe is 5–8 working days after checking the availability of sources.
Before starting, it is necessary to clarify which contacts are a priority — phones, emails, websites, or messengers, which regions and KVEDs are of interest, as well as whether all of Ukraine is needed or only specific business directions. After that, I will be able to propose the optimal method of collection and show a test sample.
Budget: 10000 UAH Deadline: 2 days
Hello! I am ready to complete this task. I will find the relevant data sources, determine the optimal method for collecting newly created individual entrepreneurs and limited liability companies, and develop an automated script. I will set up regular updates of the information, check and remove duplicates, as well as save the results in a convenient format. After completion, I will test the system's functionality and provide usage instructions.
Budget: 10000 UAH Deadline: 5 days
I understood the task: it is necessary to regularly receive a list of newly created individual entrepreneurs (FOP) and preferably limited liability companies (LLC) with contacts.
The most reliable way is not to parse the website manually, but to extract data from the Unified State Register, where the registration of new FOPs and LLCs is published officially and in a structured manner. I am writing a script that regularly (for example, once a day) extracts new entries for the specified period, filters them by the necessary criteria (region, type of activity, if needed), and compiles a table or uploads it to your database. Contact details in the register are often missing directly, so as a separate step, we can enhance the data through open sources where it is realistic and legal; this should be discussed separately, as it largely depends on what specific contacts you need.
I will adjust the frequency and format of the output to how you find it most convenient to consume further.
Budget: 10000 UAH Deadline: 5 days
Hello! The task of collecting new individual entrepreneurs and limited liability companies is not quite "parsing" in the classical sense, but rather building a reliable data pipeline. Direct scraping of the Ministry of Justice's state register website is a bad idea due to strict CAPTCHAs, blocking, and unstable server performance.
Technologically, I will implement this through a Python architecture using one of two reliable scenarios: either setting up automatic monitoring of open data (dumps from data.gov.ua) to detect the "delta" (exclusively new registrations), or direct backend integration with the APIs of aggregator services (such as Opendatabot or YouControl). The collected contacts will be automatically structured by the system and sent to a convenient environment for you (PostgreSQL, Google Sheets, or directly into your CRM).
Budget: 10000 UAH Deadline: 5 days
Hello! The task is clear, I have experience working with registries and open data APIs.
To propose the optimal solution, please clarify:
Do you need a one-time collection of already existing individual entrepreneurs/limited liability companies or automation (daily monitoring of new registrations)?
Where exactly do you need to import this data (Google Sheets, Telegram bot)?
I am ready to discuss the details and find the most stable way to collect data without the risk of blocks.
Budget: 10000 UAH Deadline: 1 day
Hello! The task of collecting data on newly created individual entrepreneurs is quite feasible — a parser for open registers can be set up with regular updates and exports in a convenient format. I will explain which method will be the most reliable for your case. I am ready to discuss the details in private messages.
Budget: 10000 UAH Deadline: 3 days
Good day, I will do everything quickly and efficiently. I have a lot of experience in similar cases! Write to me and we will discuss.
Budget: 10000 UAH Deadline: 7 days
Hello. I have an idea for the implementation of your project and I'm ready to discuss the details with you.
Budget: 10000 UAH Deadline: 4 days
Hello, Denys!
I will perform an automatic collection of new individual entrepreneurs (FOP) and limited liability companies (LLC) from the official register of the Ministry of Justice (open data data.gov.ua) without paid APIs like Opendatabot, meaning no monthly subscription on your part.
The Python script compares the fresh export of the register with the previous one, finds new entries, and provides a ready list: full name/company name, address, KVED, registration date - in Google Sheets or CSV, with the frequency you need (daily/weekly).
An important nuance: the register itself does not contain phone numbers or emails - these are official data, only name/address/KVED/date are included. If you need contact information for calls, that is a separate stage (searching in open sources), and for newly registered FOPs, the percentage of found contacts will be low, as they do not yet have a public online presence.
Experience - web scraping and automated data collection with regular updates. Many reviews on my page. I am ready to provide a free test sample of up to 20 new FOPs (and LLCs, if they are included in the sample) in one day of your choice, so you can see that the method really works before starting payment.
What update frequency do you need, and is a filter by region/KVED important?
Budget: 10000 UAH Deadline: 1 day
Hello.
I have a ready solution for parsing LLCs, I can provide the result in a couple of hours. We can discuss the individual entrepreneur separately, as the database for LLCs will be HUGE.
Budget: 10000 UAH Deadline: 7 days
Hello! I'll immediately suggest a method, as parsing is not the best way here. All fresh individual entrepreneurs and limited liability companies are available in the open state register EDR on data.gov.ua: it is updated regularly and contains the registration date, KVED, region, and the individual or company itself. So I take the official export and filter new entries by date and necessary criteria. This is more reliable and cleaner than parsing third-party sites that change their markup and ban.
One honest point worth discussing: the register shows who has registered, but usually does not include phone numbers or emails. Therefore, collecting contacts involves two steps: first, a list of new individual entrepreneurs/LLCs from the register, and then pulling contacts from separate sources. I can explain how to realistically accomplish the second step for your tasks in private messages.
I will automate this: daily or weekly, the system will automatically pull new registrations based on your criteria and compile them into a table or CRM. Details are available for free in correspondence. I would be happy to collaborate.
Budget: 10000 UAH Deadline: 5 days
Hello. I will perform an automatic daily collection of new individual entrepreneurs/limited liability companies from open registers in Google Sheets or Excel. Registration data will be stable, contacts will only be included where they are publicly available. Do you need daily updates or a one-time export? The price is starting and negotiable.
Budget: 10000 UAH Deadline: 1 day
Good day\
I have all the necessary resources for such parsing, specifically for gathering information. Please tell me the amount you need.\
And what exact timeframe do you need the data for: a week? a month? a quarter?
Budget: 10000 UAH Deadline: 7 days
Hello, I can implement this.
I will find the optimal way to obtain the data, automate the collection, and prepare the data in a convenient format for further work. I have experience in developing parsers and collecting data from state registries.
As a result, you will receive a system that will regularly generate an up-to-date database of new registrations with the ability to export to Excel or another required format.
Please let me know what specific data is needed and how often the database should be updated?
Budget: 10000 UAH Deadline: 3 days
Hello. I can create a solution in Python for regularly obtaining new individual entrepreneurs and, if the source allows, limited liability companies from public registry data. First, I will identify the source, frequency, and required fields, then I will perform data collection without duplicates, export to CSV/Excel, and log errors. I will collect contacts only from open legal sources — without bypassing closed access. The fee includes a working initial version and a brief instruction for running it.
Budget: 10000 UAH Deadline: 3 days
Denis, in the daily XML dumps from the Ministry of Justice on data.gov.ua, individual entrepreneurs and limited liability companies are contained in one large file of several gigabytes. If you try to process it using standard methods, the server will simply crash due to lack of memory. I will write a Python script with streaming reading (iterparse) that will extract only the fresh delta of registrations for the required day in seconds.
Contacts in the official register are often lumped together in the notes field separated by commas. I will set up regular expressions that will automatically distribute phone numbers and emails into separate columns of a Google Sheet without chaos in the data. I can send you a test example of the export of new individual entrepreneurs for any day of this month for free before we open the Safe, so you can visually assess the quality of the collection.
Do you need a daily automatic collection of new individual entrepreneurs on a schedule, or are you planning to run the script manually for specific dates?
Budget: 10000 UAH Deadline: 5 days
Good day! I am ready to organize such a collection. Message me privately. We will discuss how to do this in a convenient and safe way.
Budget: 10000 UAH Deadline: 5 days
We have experience in automating data collection from open registries. We implement this through setting up data parsing from the Opendatabot portal or direct monitoring of the API of the Unified State Register. This will ensure the automatic retrieval of current contacts of individual entrepreneurs and limited liability companies with export to your CRM or spreadsheet. We are ready to discuss the details of implementation.
Budget: 10000 UAH Deadline: 4 days
Hello! Good news: there is an official legal source for this task — the Unified State Register (USR) of legal entities and individual entrepreneurs, the data of which is available through the open data of the Ministry of Justice (data.gov.ua / usr.minjust.gov.ua). It is updated regularly, so an automatic pipeline can be built that retrieves new registrations daily or weekly.
What can be obtained immediately from there: the name of the individual entrepreneur/legal entity, registration date, KVED (type of activity), address, status. This is clean, legal, and does not require bypassing any protections.
An important point I want to address honestly right away: phone numbers and emails are usually not published in this register — they are private data. If you specifically need contacts for cold calls/mailings, that is a second step — enriching data from other open sources (Google Maps, social networks, company websites), and this does not always work for newly registered individual entrepreneurs, as they often do not have an online presence in the first few days after registration.
I propose the following:
- Automatic collection of new registrations from the USR (filter by region/KVED if you need to target a specific niche)
- Cleaning, deduplication, exporting to Excel/CSV or Google Sheets on a regular basis
- Optionally, as a second step — an attempt to enrich contacts from open sources where technically possible
Stack: Python, Pandas for processing, automatic scheduling (Docker), exporting in a format convenient for you.
Please clarify: which regions/KVED are of interest, and whether the name + address + type of activity is sufficient, or if you specifically need phone/email (then we will discuss the feasibility separately)?
I am ready to start immediately after clarifying the details.
Budget: 10000 UAH Deadline: 3 days
Good day, Denis! I am ready to do this work for you efficiently and quickly, feel free to reach out!
Budget: 10000 UAH Deadline: 4 days
Hello! The task is clear. I am ready to develop an autonomous script for you to regularly and automatically collect newly created individual entrepreneurs and limited liability companies.
Since direct parsing of the Ministry of Justice website is blocked by protection, the script will work with the primary source through official daily updates of open data from the Unified State Register (or through commercial APIs at your request).
How your script will work:
1. Regular monitoring: The script automatically (on a schedule or at the push of a button) checks for new registrations.
2. Date filtering: It filters out old companies and extracts only those individual entrepreneurs/limited liability companies that were created in the last 24 hours (or another chosen period).
3. Data collection: It saves the name/full name, registration date, types of economic activity (KVED), and contact mobile phone numbers recorded in the register during business creation.
4. Automatic export: It independently records new leads into a Google Sheet or a local Excel file.
You purchase a ready-made tool once and use it without limitations, without overpaying for each individual data export.
Implementation time: 3-4 days.
Please let me know where it would be more convenient for the script to store the finished contacts - in a local Excel file or directly in online Google Sheets?
Budget: 10000 UAH Deadline: 5 days
Hello, I have experience in creating parsers, I can complete the task and parse the FOPs.
Budget: 13500 UAH Deadline: 10 days
Good day! I am interested in your task. I understand that it is necessary to organize automated data collection about newly created individual entrepreneurs and, if possible, limited liability companies. I am ready to study the data sources in more detail and propose the optimal implementation method (parsing open registers or using an API, if available). I would appreciate clarification on which specific resources to collect information from and what data should be included in the result. I am ready to discuss the details of our collaboration.
Budget: 10000 UAH Deadline: 4 days
😀 Hello!
✅ I will perform it carefully 👌
✅ I have done similar work before — parsing registries and collecting contacts using Python 🎯
🛠 How I will do it: I will gather new individual entrepreneurs from open sources/registry (EDR/opendatabot) based on your criteria (NACE, region, registration date) → contacts and data in a structured Excel/Google Sheets; daily auto-updating if needed
🎥 Portfolio: 
Freelancehunt
✅ Feel free to reach out, clarify the selection criteria 👌🙂
Budget: 10000 UAH Deadline: 3 days
Good day.
I see that you need to organize automatic data collection about newly created individual entrepreneurs and, if possible, limited liability companies.
Here, I would first check available official sources, open registers, and APIs (API - a method of data exchange between services). If there is no ready-made API or it has limitations, a reliable parsing system can be built with regular data updates.
I can implement a system that will:
* regularly check for new registrations;
* collect necessary data about individual entrepreneurs and limited liability companies;
* remove duplicates;
* store information in Google Sheets, CRM, or a database;
* send notifications about new entries.
Please let me know what specific data you need: name, registration date, KVED, region, contacts, or other information?
After clarification, I will suggest the optimal implementation method and can start immediately.
Budget: 10000 UAH Deadline: 5 days
Good day. I am engaged in automation and parsing, and I already have developed and fine-tuned tools for the necessary tasks. I can gather the data you need, and I would like to hear the details about the search criteria. Please write, we will discuss, and I will immediately start working on it.
Budget: 10000 UAH Deadline: 5 days
Hello! I have experience in developing parsers for collecting data from open government registers and websites. To solve your task, I can write a Python script that will automatically monitor updates in the registers (for example, through the Opendatabot API or direct parsing of official sources) and export data on new individual entrepreneurs and limited liability companies in a format convenient for you (Excel, Google Sheets, or a database). I am ready to discuss the details, feel free to write.
Budget: 9999 UAH Deadline: 3 days
Hello!
I have a list of individual entrepreneurs/entities registered in 2026.
I can gather their contacts; for more detailed discussion, please write to me privately.
I have a file with individual entrepreneurs.
It contains a total of records: ~6,966,073
- Registered in 2026: 138,341
and legal entities:
- Total records: ~2,011,083
- Of which LLCs: ~991,409
- LLCs registered in 2026: 15,355
Budget: 10000 UAH Deadline: 7 days
Good day. An interesting task. I can offer a system for collecting and updating data on individual entrepreneurs and limited liability companies. It will serve you and at any convenient time, at your request, will export the necessary data for both individual entrepreneurs and limited liability companies in a convenient format. To start, I would suggest, for example, an Excel spreadsheet. What do you think of the idea? I am ready to collaborate starting today. Write to me, I will be waiting for you)
Budget: 10000 UAH Deadline: 5 days
I have almost a ready solution for such a collection; it can be quickly adapted and launched, I'm in touch ))
It's better to do this not as chaotic parsing, but as a small system for collecting from open sources, with filters by registration date, KVED, region, type of individual entrepreneur or LLC, checking for duplicates, and exporting to a table or CRM.
Within 10,000 UAH, the first working stage can be completed in 5 days - find stable sources, collect a test database, set up the data structure, and show which contacts can be legally obtained.
If there is no phone or email in the registry, then we add enrichment from public sources - websites, maps, directories, company pages.
Look, there’s a nuance - it’s important not to promise magic where contacts are physically absent in open data, but a practical working mechanism can be created.
Two things need to be clarified.
What specific contacts are needed - phone, email, website, address, KVED, city.
How often is the update needed - daily, weekly, or a one-time export.
Similar logic cases are Ingello.
https://business.ingello.com/fractal - automation of complex workflows and agency scenarios.
https://business.ingello.com/vorfahr - automation of data collection, processing, and commercial use.
Our profile on systems and automation for the exchange - https://systems-fl.ingello.com/ua
Budget: 10000 UAH Deadline: 4 days
Good day! I am ready to conduct a manual search and selection of individual entrepreneurs, so this database will be of the highest quality and up-to-date as of July 2026!!! Feel free to reach out!!!!
Budget: 10000 UAH Deadline: 8 days
Good day!
The task can be implemented as an automated system for collecting newly created individual entrepreneurs and limited liability companies with subsequent export to Excel, Google Sheets, or CRM.
Proposed process:
— obtaining new registrations from an approved source/API;
— filtering by date, region, business activity codes, and type of entity;
— removing duplicates;
— saving full names/names, registration dates, status, business activity codes, addresses, and other available data;
— if necessary, additional search for public phone numbers, emails, websites, and social media;
— automatic daily or weekly updates of the table.
It is important to clarify that phone numbers and emails may be absent directly in the registration data, so a separate search in open sources may be required for them.
Estimated cost of MVP: 10,000 UAH
Deadline: 7–10 days
For an accurate estimate, please let me know:
What specific fields are needed: full names/names, phone numbers, emails, addresses, business activity codes, registration dates?
Do you need all new individual entrepreneurs/limited liability companies or only certain business activity codes and regions?
Where should the results be sent: Excel, Google Sheets, or CRM?
How often should the database be updated?
Do you already have access to the data source or a paid API?
Budget: 10000 UAH Deadline: 7 days
Good day! I have experience in collecting, processing, and structuring data. I can offer an optimal method for the automated collection of newly created individual entrepreneurs, and if possible, limited liability companies, taking into account your requirements. We will discuss the data source, necessary fields, export format, and update frequency, after which I will propose the most effective solution. I would be happy to collaborate.
Budget: 10000 UAH Deadline: 1 day
Good day!
Overall, the task is clear, but for 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: 10000 UAH Deadline: 5 days
Need to receive fresh records daily about new individual entrepreneurs and limited liability companies from open registers.
Here’s how I will do it: parsing the official register of the Unified State Register through data.gov.ua (they publish XML dumps with updates) or the API of YouControl/OpenDataBot if more detail is needed. A Python script will fetch the delta daily, filter by registration date, deduplicate, and compile into Excel/Google Sheets or a database. If contacts (phone, email) are needed — I will add an enrichment step: searching by EDRPOU in open sources or Prozorro. Running via cron or a cloud scheduler, with an alert in Telegram if something breaks.
Main question: are contacts needed only for new registrations for the current day/week, or is a one-time review for the last N months required first?
Budget: 10000 UAH Deadline: 7 days
Good day, there is a similar case.
Write to me, I will gather quickly and efficiently.
Write.
Budget: 10000 UAH Deadline: 1 day
Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I would be happy to help :)
