Yaroslav Zhomiruk
Offer Yaroslav work on your next project.
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Lutsk,
Ukraine
1 month 26 days back
available for hire
4 Safes completed
1 year back
4 clients
age 29 years
on the service 4 years
Rating
Average rating
Language proficiency level
Українська: fluent
English: pre-intermediate
Русский: pre-intermediate
Skills and abilities
Programming
Portfolio
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11 USD Collection and Export of Store Information from the Dakis Servic
Data Parsing
Developed a program that automatically collects store information from the public Dakis website. It retrieves and validates data, extracting key details such as the store name, address, contact information, opening hours, and map location. All information is saved in a user-friendly Excel file, making it easy to find what you need — including daily opening hours for each day of the week. This greatly simplifies data analysis or further usage.
#Python #Dakis #DataCollection #Automation #Excel #DataProcessing
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45 USD Data collection from Reddit on popular subreddits
Data Parsing
Developed a script in Python that automatically collects the latest posts from popular subreddits, including r/AskReddit, r/todayilearned, r/technology, and r/worldnews. The project is implemented through the official Reddit API (PRAW), which allows obtaining structured data with all important post attributes. All collected data is stored in a convenient Excel format — this is an ideal solution for further analysis or uploading to a database.
#Python #RedditAPI #PRAW #DataCollection #WebScraping #Excel #DataExtraction #Automation
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27 USD Woltu.eu – Product parser for all categories
Data Parsing
Created a parser for the e-commerce site woltu.eu, which automatically collects products from all categories, including name, price, and link.
Data is exported in CSV/Excel for further analysis or import into other systems.
Flexible structure allows for quick addition of new fields (e.g., photos, SKU, or description).
Example of the result: ready files for 6+ categories.
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#Python #Parsing #BeautifulSoup #Ecommerce #Parser #DataScraping #CSV #Excel
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27 USD Parsing football match history from the HKJC website (2 years)
Data Parsing
Created a reliable parser that collected over 10,000 matches from the website bet.hkjc.com over the past two years. Gathered all key data: accounts, dates, teams, half-time results, unique IDs. Data is collected in a clean format and structured for further analysis.
The project is fully autonomous and optimized for large volumes. Works quickly, stably, and easily adapts to other similar sources.
… #WebScraping #FootballData #Python #Automation #SportsStats
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79 USD Parsing contact information from various online resources
Data Parsing
Performed a series of projects collecting clean, structured data from various sources: business directories, company lists, student databases, etc.
Ready to adapt solutions to the specifics of each website, considering possible difficulties such as protection or non-standard layouts.
… Provide flexibility in export formats (Excel, CSV, Google Sheets) and a transparent approach to estimating timelines and costs after reviewing the resource.
#DataExtraction #WebScraping #Automation #FlexibleSolutions #ClientFocused
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180 USD Universal product options parser from product pages (PDP)
Python
Developed a flexible solution for automatic collection of all product options (colors, sizes, other options) from product pages of online stores.
For example, implemented parsing of a page with over 40 shades of Dior lipstick on Sephora.com, including shade names, thumbnail images, and current prices.
… The solution is built with versatility in mind so that it can be easily adapted to different websites without significant changes. Optimized for fast data collection.
Technologies used: Python, web scraping, as well as possible application of AI for complex cases.
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27 USD Parsing business directory with contact information
Completed a project to collect data from a business directory, including company names, addresses, phone numbers, categories, subcategories, cities, and websites (if available).
The work was done using Python and the BeautifulSoup library, which provides accurate and reliable collection of structured data.
… The result is a clean and well-organized Excel file, ready for further use.
#webscraping #python #beautifulsoup #DataExtraction #BusinessDirectory #Automation
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23 USD Automatic collection and update of contacts from TheGarrNetwork.org
Data Parsing
Developed a reliable web scraper that retrieves a complete set of contact information directly through the backend API of TheGarrNetwork.org, avoiding unstable HTML parsing and manual clicks.
Among the collected data: names, tags, categories, email addresses, phones, descriptions. Data is exported to Excel or Google Sheets.
Ensured the possibility of regular automatic updates of the contact database according to new entries on the site.
… #webscraping #api-development #Automation #DataExtraction #Excel #GoogleSheets
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23 USD Collection of local medical assistance contacts (Florida and Texas)
Data Parsing
Developed a script for quick and comprehensive collection of contact information from two regional search pages of the official Healthcare.gov portal:
Florida: https://www.healthcare.gov/find-local-help/results/?q=FLORIDA&lat=0&lng=0&city=&state=FL&zip_code=&mp=FFM
… Texas: https://www.healthcare.gov/find-local-help/results?q=TEXAS&lat=0&lng=0&city=&state=TX&zip_code=&mp=FFM
Implemented an efficient solution for collecting over 60,000 unique contacts from two regional Healthcare.gov pages.
Data includes phone numbers, email addresses, and other key fields. Results are provided in a structured Excel file, ready for further processing.
https://docs.google.com/spreadsheets/d/1DQ-5W8irC0ACNNP_FQ3cY4RN9LwN8C7nBZWmcJ10EtM/edit?usp=sharing
#DataExtraction #Automation #WebScraping #HealthcareData #Excel
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23 USD Contact parser for lawyers and law firms
Data Parsing
Developed a Python script for fully automatic collection of contact details and informational fields from two directories of the official portal:
-> Lawyers Directory — https://portal.oa.pt/advogados/pesquisa-de-advogados/
-> Law Firms Directory — https://portal.oa.pt/advogados/pesquisa-de-sociedades-de-advogados/
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The solution supports:
-> Export in CSV, XLSX, and JSON formats
-> Gathering a complete set of data: names, email addresses, phones, addresses, and other fields
-> Using exclusively free open-source Python libraries
-> Instructions for quick installation and running on Windows
-> Ability to rerun and further adapt as an API or simple application
#python #webscraping #DataExtraction #Automation #opensource #LegalData #portal
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Automated data collection and analytics for the RoyalRoad platform
Data Parsing
This project was aimed at creating a high-performance server solution for automated data collection and analysis from the literary platform RoyalRoad. The main task was to gather detailed information about 37,000 books, convert it into a structured format, and provide the capability for in-depth analysis for further use.
Functional capabilities of the application:
Data collection:
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Extraction of information about books, including titles, ratings, descriptions, categories, and key tags.
Collection of information about authors: names, profile links, activity on the platform.
Obtaining detailed information about chapters, including the number of chapters, publication dates, and their popularity.
Data structuring:
Automated conversion of the collected information into JSON format, with a clear structure for convenient use.
Storing data in a database to optimize access and further analysis.
Data analysis and report generation:
Sorting and filtering books by rating, number of chapters, popularity among readers.
Development of algorithms to identify trends, such as the most popular genres or authors.
Preparation of reports with specific analytical insights for use in business purposes or research.
Main challenges and their solutions:
Bypassing anti-scraping protection:
A bypass of the platform's protection systems, such as CAPTCHA and request limits, was implemented. This ensured a stable and continuous data collection process.
Processing large volumes of data:
Optimized algorithms and efficient databases were used to ensure fast processing and storage of data.
Flexibility of the application:
The created application easily adapts to changes in the website's structure, allowing it to maintain its relevance in the long term.
Project results:
A complete dataset on 37,000 books, authors, and chapters was collected.
Tools for analytics were implemented, allowing books to be ranked by popularity, number of chapters, and ratings.
A flexible database was created, enabling effective storage and use of data for further purposes, such as recommendation systems, marketing analysis, or integration into other projects.
Reviews and compliments on completed projects 4
16 February 2025
135 USD
Parsing binance.com
Quality
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"P" - Professional. Fast, high quality. All wishes taken into account, even unexpressed ones.
Haven't encountered such a high level of execution in a long time.
I won't recommend to anyone, I will personally flood with orders 🙂
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13 February 2025
113 USD
Regular data parsing from websites on a cron job
Quality
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Thank you, everything is fine, we will continue to cooperate.
27 January 2025
23 USD
Python request with selenium auth
Quality
Professionalism
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The task was completed quickly, efficiently, and exactly as requested.
18 August 2024
45 USD
Parsing or any method of collecting simple information
Quality
Professionalism
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Great performer. There are few performers like this on the exchange. Solved a task that other specialists could not. I recommend for collaboration to everyone.
Activity
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Prepare the export of goods for the outlet from PrestaShop.
113 USD
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A program is needed that parses the football website https://www.goaloo.com/
50 USD
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Price parser for the site avto.pro
23 USD
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WEB application finalization.
113 USD
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Parsing contacts of online stores, OLX, Prom
90 USD
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Export the complete register of customs brokers to an Excel/CSV file.
79 USD
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Adding products from the website to an Excel spreadsheet
23 USD
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I am looking for a person who can write a parser in Python.
90 USD
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Download manuals for engines
23 USD
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Resume parser robota.ua
100 USD
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