Web Research & Data Scraping (Excel/Python)Wongyu Jeon
I help collecting and organizing accurate data through web research, manual/assisted scraping, and light Python extraction. Whether you need contact lists, competitor research, event data, or structured datasets, I clean and organize everything for direct use in Excel, Sheets, or SQL.
What's included
Web Research & Data Collection
Accurate extraction of information from websites, directories, and public sources, organized into a clean spreadsheet (Excel/Google Sheets).
Light Python-Based Scraping (Manual)
Using Python (BeautifulSoup / requests) to collect publicly available data when feasible.
Clean, Structured Dataset
All collected data cleaned, deduplicated, standardized, verified, and delivered in Excel, CSV, or Google Sheets format.
Optional SQL Formatting (Database-ready)
Convert the final dataset into SQL-ready tables or provide basic SQL scripts for easy import into databases.
FAQs
I use light Python scraping for publicly available data only.
Yes — I gather and combine data from many sources into one structured dataset.
My salary prediction project required data scrapping from multiple stats-providing websites (NBA Official, Hoopshype, Basketball-reference, etc.) and merge them into single csv for analysis.
Example work
Starting at$10
Duration1 week
Tags
Google Sheets
LinkedIn
Microsoft Excel
Python
SQL
Data Analyst
Data Modelling Analyst
Researcher
Service provided by
Wongyu Jeon Seoul, South Korea
- 34
- Followers
Web Research & Data Scraping (Excel/Python)Wongyu Jeon
Starting at$10
Duration1 week
Tags
Google Sheets
LinkedIn
Microsoft Excel
Python
SQL
Data Analyst
Data Modelling Analyst
Researcher
I help collecting and organizing accurate data through web research, manual/assisted scraping, and light Python extraction. Whether you need contact lists, competitor research, event data, or structured datasets, I clean and organize everything for direct use in Excel, Sheets, or SQL.
What's included
Web Research & Data Collection
Accurate extraction of information from websites, directories, and public sources, organized into a clean spreadsheet (Excel/Google Sheets).
Light Python-Based Scraping (Manual)
Using Python (BeautifulSoup / requests) to collect publicly available data when feasible.
Clean, Structured Dataset
All collected data cleaned, deduplicated, standardized, verified, and delivered in Excel, CSV, or Google Sheets format.
Optional SQL Formatting (Database-ready)
Convert the final dataset into SQL-ready tables or provide basic SQL scripts for easy import into databases.
FAQs
I use light Python scraping for publicly available data only.
Yes — I gather and combine data from many sources into one structured dataset.
My salary prediction project required data scrapping from multiple stats-providing websites (NBA Official, Hoopshype, Basketball-reference, etc.) and merge them into single csv for analysis.
Example work
$10