It is necessary to parse a database of masters for keratin hair straightening, with phone numbers.

Budget: 2000 UAH Deadline: 3 days

Hello! I regularly collect such databases: all individual entrepreneurs and limited liability companies are extracted from the register by the classification code, but there are no phone numbers — I gather them from Google Maps listings and directories by matching names and addresses.

I will provide it in Excel: name, individual entrepreneur or limited liability company, city, address, phone number, source link. I simply do not include rows without a found number in the summary, so the database is not empty.

Do you need the entire Ukraine or just Kyiv and regional centers?

Budget: 1500 UAH Deadline: 1 day

Good day
In my opinion, the freshest will be from Instagram
+ map
Please reply

Budget: 2500 UAH Deadline: 3 days

⚡ Important nuance: in the register for the KVED 96.02, there are no phone numbers of the masters - only the full name of the individual entrepreneur and the legal address. Real numbers are found in open sources: Google Maps, Instagram profiles of salons, websites, and booking aggregators. So, the database should be collected from there, and the register should be used as a reference.

I have been engaged in parsing since 2013, and recently built a similar scraping engine for spare parts catalogs: tens of thousands of items, parsing, normalization, output via API. Python and Beautiful Soup are my stack.

Please clarify: do you need data for all of Ukraine or specific regions, and how many masters do you expect approximately? The final price depends on the volume - let me know, and we can discuss the details in correspondence.

Budget: 4000 UAH Deadline: 5 days

Mykola, to obtain a database specifically of masters in keratin straightening, one OKVED 96.02 is not enough — it is necessary to additionally confirm the service through public pages and descriptions. I will compile an initial list, find open phone numbers, remove duplicates, and provide a table with full names or titles, city, number, source link, and specialization indicator. In my current system for searching local companies, contact collection from Google, Maps, and websites, as well as cleaning and deduplication of the database, are already implemented. Before the main collection, I will create a small sample to agree on inclusion criteria and avoid filling the result with ordinary salons without the required service. The cost of the database for up to 1000 unique entries is 4000 UAH, with a timeframe of 5 days. Which cities or regions are needed, and should salons be included if they offer the keratin straightening service?

Budget: 2000 UAH Deadline: 3 days

Mykola, the NACE code 96.02 alone does not provide a base specifically for keratin specialists and almost contains no current phone numbers. Therefore, I would use the registry only as a starting list, and then verify the specialization and select contacts from open business sources: Google Maps, salon websites, booking directories, and public professional pages.

I have been engaged in data parsing and normalization for many years: Python/JS, Playwright, API, deduplication, contact verification. In the final table, I will provide the name or full name, city, address, public phone number, source, and a note where keratin straightening has been confirmed. I will remove duplicates and normalize the numbers.

The rate of 2000 UAH and 3 days covers a pilot for one region or the first 100 verified contacts. After the pilot, the actual share of found numbers will be visible, and we can accurately assess all of Ukraine.

Do you need all of Ukraine or specific regions, and what is the minimum volume of contacts you expect?

Budget: 1200 UAH Deadline: 7 days

Good day, Mikola!

I have experience in data parsing and understand the specifics of working with databases. Your task of gathering information about masters from the NACE 96.02 is important for the development of the beauty business.

To effectively execute the project, I propose the following plan:
1. Identify the data sources from which we will parse information.
2. Conduct the parsing of the database, collecting the necessary data, including phone numbers.
3. Prepare a report with the obtained data in a convenient format.

The preliminary cost of my parsing services starts from $200, depending on the volume of work and the complexity of accessing the data.

In my profile, you can review examples of completed projects that confirm my expertise in this area.

I suggest discussing the details of your project in private messages to clarify all nuances and determine the next steps. Expand

Budget: 3000 UAH Deadline: 2 days

Good day! I understood the task - it is necessary to compile a database of hairdressers according to the KVED 96.02 (keratin straightening) with phone numbers. I will gather data from open sources (registries, business cards, social networks) and compile it into a table with contacts, ready for further use. I will check the numbers for format correctness before delivering the result. I will prepare the file in Excel or Google Sheets, whichever is more convenient for you. I am ready to clarify whether only Ukraine as a whole is needed or specific cities/regions.

Budget: 1500 UAH Deadline: 3 days

Good day, Nikolai! I am interested in your task of collecting a database of specialists in keratin hair straightening. I have extensive experience in data parsing and web scraping using Python (with libraries such as BeautifulSoup, Requests, Selenium/Playwright). I am ready to efficiently compile an up-to-date database according to the specified OKVED 96.02, including phone numbers and other available contact details, and export it in a convenient format (Excel, Google Sheets, or CSV).

Budget: 1500 UAH Deadline: 2 days

Good day.

I can gather and prepare a structured database of masters and salons that provide keratin hair straightening services.

An important point: the KVED 96.02 covers hairdressers and beauty salons in general, but does not confirm that a specific master works specifically with keratin. Therefore, a simple extraction of entrepreneurs by KVED will not be sufficient — the database needs to be additionally verified and enriched.

I propose the following workflow:

Gather entrepreneurs and companies with the main or additional KVED 96.02 from available open sources.
Find public contact details: website, salon page, phone number, and city.
Check for the availability of services using keywords: "keratin straightening," "hair botox," "nanoplastics," and related queries.
Normalize phone numbers to a single format.
Remove duplicates by phone number, name, address, and page.
Add a link to the source so that each contact can be verified.

I will provide the result in Excel or CSV format with the following fields:

salon name or master’s name;
city and region;
phone number;
website or page;
confirmed service;
KVED;
link to the source;
note on the reliability of the contact.

I will only use openly published business contacts, without obtaining closed or private data.

Before the full collection, I can prepare a test sample to agree on the structure and quality of the database. To assess, it would be helpful to clarify the required geography, approximate number of contacts, and whether only individual masters should be included or also beauty salons. After that, I will be able to provide the exact cost and timeframe for completion. Expand

Budget: 1000 UAH Deadline: 2 days

Hello! For the KVED 96.02, I take the names of individual entrepreneurs and addresses from the open register by code, it's quick. However, such a database is almost non-contact: there are hardly any phone numbers in the register, and I believe you need live numbers to work with the database. Therefore, I pull numbers separately from open sources (maps, business directories, salon pages) and compile everything into one table: name, address, phone, city.

To provide an exact price, please indicate the region and whether you need phone numbers, as this affects the volume. Approximately starting from 3500 UAH for one region with numbers, I can provide the format as convenient, Excel or CSV. I am ready to start. I would be happy to collaborate.

Budget: 1200 UAH Deadline: 2 days

Good day! I will perform parsing according to the KVED 96.02 using Python. I would like to point out a technical nuance: in official registers (EDR), the phone numbers of individual entrepreneurs are rarely listed or are outdated.

To ensure you receive a truly working database with current numbers, I suggest additionally: parsing sources such as Google Maps, Instagram, or beauty portals with queries like: "keratin," "hair straightening," "hair master," etc.

I will provide a cleaned database in Excel/Google Sheets without duplicates.

Budget: 1500 UAH Deadline: 2 days

Hello!

I have experience with parsing business databases according to the KVED. I can gather hairdressers (KVED 96.02) from open registers - name, address, phone, email, and other data.

Before estimating, I would like to clarify:
What specific data is needed?
For which regions/cities?

I am ready for discussion.

Budget: 2000 UAH Deadline: 2 days

Hello! Regarding the official register of the Unified State Register (individual entrepreneurs): since the beginning of martial law, the Ministry of Justice has completely closed direct access to contact information (phones, emails) in open databases.

However, if your goal is to obtain a WORKING database of hairdressers and salons with real numbers, parsing the Unified State Register is impractical (it often contains the numbers of registrars or accountants).

I offer two options for solving the task:

Option 1: One-time database collection (Excel / CSV)
We will collect a quality database from active sources with real contacts:
- Google Maps (salons, hairdressers, private masters) - numbers, addresses, ratings.
- Barb.ua (the largest catalog of beauty masters in Ukraine).
- OLX / Instagram.

Option 2: Development of your own auto-parser (Turnkey)
I will write a custom script (with the ability to run on a schedule) that will regularly collect new masters, filter out duplicates, and automatically upload fresh numbers to your Google Sheets or CRM. This will provide you with a constant flow of new leads, as new salons open every week.

Message me privately - we will discuss which format suits you best and agree on the details! Expand

Budget: 2500 UAH Deadline: 4 days

Good day! I am ready to take on the task.

Clarification regarding the source: in the open register of individual entrepreneurs (EDR) for the code 96.02, there is a name, address, registration date — but there are no phone numbers, as these are government open data without contacts. To gather numbers, it is necessary to match the list of individual entrepreneurs with places where the masters themselves leave contact information — Google Maps/Google Business, Instagram. The coverage will be approximately 60-80% (not all masters have a public profile with a phone number) — I honestly warn you right away to avoid surprises at the finish.

I propose: I will take individual entrepreneurs with code 96.02 from the open register for the region you need, match them with Google Maps by name/address, extract the phone number where it is publicly available, and provide a completed table (Google Sheets or Excel) with a source note for each number. Please let me know which region and the approximate number of entries — then I will provide the exact price and timeframe.

Budget: 2000 UAH Deadline: 3 days

Hello! I will gather for you the most complete and up-to-date database of hairdressers (NACE 96.02) from open registers or specialized directories for further lead generation.

Technologically, I will implement this through a custom Python script (using Playwright to bypass anti-scraping protection of the sources). All collected data will be automatically cleaned of duplicates, validated, and structured in a format convenient for you (Excel, CSV, or Google Sheets).

I have a fully prepared and tested pipeline for this task: I have already parsed large databases of narrow specialists (just under different NACE codes) multiple times, so the mechanics of quickly collecting contact data are perfectly refined.
I have one clarifying question for precise execution: do you only need the phone numbers that are listed during the registration of individual entrepreneurs in the state registers, or should the script additionally search for linked work pages/social networks (Instagram/Facebook) of these specialists?

Budget: 1500 UAH Deadline: 2 days

Hello!
I propose to scrape the database of masters from barb.ua. This is currently the most comprehensive service for searching beauty masters/salons in Ukraine. Please let me know which cities you are considering for scraping and what the minimum/estimated volume of the database is?
Example of work on collecting tattoo masters/salons: https://docs.google.com/spreadsheets/d/1zirVPPE-7sn7ds449ytnFpBvTlvFq1Hw/edit?gid=1245674906#gid=1245674906

Budget: 3000 UAH Deadline: 5 days

Ready to promptly and qualitatively complete your order. I have experience working with similar projects, always adhere to deadlines and technical specifications. I would be happy to collaborate!

Budget: 1500 UAH Deadline: 2 days

Good afternoon, Nikolai! I can gather all the data on the required OKVED from OpentadataBot. There are 2035 companies registered there.

Budget: 2000 UAH Deadline: 2 days

Good day, I have been working in web programming for over 9 years. I work with REST APIs, frameworks, and CMS such as Django, Laravel, Yii2, WordPress, OpenCart, CodeIgniter, etc. I am ready to complete the task. Reviews: Freelancehunt

Budget: 2000 UAH Deadline: 3 days

Hello
I can gather information on individual entrepreneurs according to the required KVEDs.
Message me privately.

Budget: 1000 UAH Deadline: 2 days

Good evening. I am ready to gather such a database through parsing. I have a source for parsing, but we need to agree on the details with you.

Budget: 2000 UAH Deadline: 1 day

Hello! I am ready to compile a complete database of active individual entrepreneurs and legal entities according to the KVED 96.02 from official registers. What will be included in the database: Name/Full Name, status (active), contacts (phone numbers, email, if they are listed in the unified register), registration date, and region. Please let me know if you are interested in a selection for all of Ukraine or a specific region/area? I am ready to agree on the final price and immediately send you a test piece of the file for verification.

Budget: 2000 UAH Deadline: 1 day

Hello. I have a database from https://barb.ua/uk/volosy that might interest you, the screenshot of the database - https://ibb.co/gLcyQgj7

Budget: 1500 UAH Deadline: 3 days

Good day! I am ready to perform parsing of the database of hair straightening masters. I have experience in data collection and structuring, I pay close attention to the quality of information and verification of contacts. I will be able to compile the database in Excel/Google Sheets format with the appropriate fields. I look forward to collaborating))

Budget: 2500 UAH Deadline: 1 day

Hello! The task is clear and understandable. I have ready software and established algorithms for quick data extraction from state registries (Opendatabot, YouControl, etc.), Google Maps, and specialized platforms for beauty professionals.

I will compile a database of individual entrepreneurs and companies with the NACE code 96.02 (Providing services by hairdressers and beauty salons) with up-to-date contacts for you.
The cost of the work: 1500–2500 UAH (The price depends on whether you need just an extract from the registry or additional searches for live phone numbers/Instagram from Google).

Deadline: 1-2 days
I would be happy to collaborate.

Budget: 3000 UAH Deadline: 3 days

Good day! I have experience in collecting and structuring contact databases. I can gather a current database of craftsmen/hairdressers according to the classification code 96.02, including phone numbers, names (if available), cities, and other necessary data. I will format the database in Excel or Google Sheets, check for duplicates, and update the information as much as possible. I would be happy to discuss the details and scope of work.

Budget: 1600 UAH Deadline: 2 days

Mykola, the NACE code 96.02 will yield thousands of general hair salons and individual entrepreneurs where the word "keratin" is not present at all, and the numbers in the registries are often stationary or legal. To ensure the database is targeted, we need to parse Instagram and Google Maps using direct keyword queries for the service. This way, I will gather the actual specialists with mobile phone numbers. I will provide the first 50 contacts for free as a test, so you can check the quality before payment.

Budget: 3000 UAH Deadline: 3 days

Good day!

I am ready to take on the task. Estimated cost: 3000 UAH, timeframe 3 days — this calculation is based on a basic volume (up to ~500 contacts, from open sources: Google Maps, Instagram profiles of salons, Prom.ua, for one or two large cities or all of Ukraine with a filter by KVED 96.02).

To provide a more accurate estimate, please clarify:

Approximate expected volume of entries (hundreds or thousands)?
All of Ukraine or a specific region/city?
Output format (Excel/CSV, what fields besides phone — name, address, link to profile)?

If the volume exceeds the basic one — I will adjust the price and timeframe after clarification. Expand

Budget: 2000 UAH Deadline: 2 days

Good day! I am ready to gather such a database in a couple of days! All contacts will be up-to-date!!! Feel free to reach out!!!!

Budget: 1500 UAH Deadline: 3 days

Good day! I am ready to take on the parsing of a database of keratin straightening specialists. The registry for the KVED 96.02 will provide a list of individual entrepreneurs/salons, but without phone numbers and without confirmation of narrow specialization — therefore, I am completing the database through Google Maps, Instagram, and salon websites: there I can find both the phone number and confirmation that the specialist indeed performs keratin straightening. The output will be a clean table: name/title, city, phone, link to Instagram/website, without duplicates. Please specify the city/region and the approximate number of contacts — this will affect the price. For one city, the estimate is 1,500–3,500 UAH, with a timeframe of 3–5 days. I am ready to start immediately.

Budget: 2000 UAH Deadline: 7 days

Hello, Mykola! I am ready to set up a parser to collect current contacts of masters according to the KVED 96.02 from the state register. I have experience bypassing CAPTCHAs and protection against blocks for similar tasks.

Do you need a ready file in Excel or integration of the database into CRM?

I can show you an example of the data structure you will receive as a result.

Budget: 1500 UAH Deadline: 2 days

Hello, Mykola! I am compiling a database of craftsmen from open registers and extracting phone numbers. Ukrainian registers often hide phone numbers behind a click or captcha, so I bypass this through a browser with authorization. I will set up Playwright with DOM change detection to ensure I get all the contacts. Which register should I use — YouControl or Opendatabot?

Budget: 2000 UAH Deadline: 1 day

Hello! I have experience in writing parsers for collecting contact data. I will create a script that quickly and efficiently gathers a database of specialists according to your request. I use Python (libraries BeautifulSoup/Selenium/Playwright depending on the source), which ensures stable operation. I am ready to discuss the details, feel free to write.

Budget: 700 UAH Deadline: 1 day

Hello!

I will create a parser that will gather craftsmen with the required KVED and their phone numbers, exporting the data in a format convenient for you (Excel/Google Sheets). I will consider possible website restrictions to collect the maximum amount of information without getting blocked.

Please let me know which sources to parse data from and what the estimated volume of the database is.

Budget: 2000 UAH Deadline: 3 days

Mykola, for collecting a database of craftsmen according to OKVED 96.02, I will check the relevance of the data in open registries and bulletin boards to obtain contacts directly from the specialists' profiles. The result will be in the form of a ready table with names, phone numbers, and locations.

Should the list of craftsmen be filtered by a specific city or should I leave a general database for all of Ukraine?

Budget: 1000 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 :)