
brythyy
web scraping data mining apify data extraction automation data scraping
Habilidades

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Porfolio
Experiencia laboral
Online Marketplace Data Scraper
Marketing • Tiempo parcial
Feb 2025 - Sep 2025 • 7 mos
I worked on collecting product and seller data from online marketplaces where information is often spread across multiple pages and categories. The objective was to gather useful details such as product names, prices, seller information, and ratings. To achieve this, I created processes that could navigate through categories, handle multiple pages, and collect all relevant details without missing important data. I also made sure the structure of the output remained clear so it could be used easily for comparison or analysis. Clients used this data to better understand market trends and identify opportunities. My role was to ensure that the information provided was complete and organized in a way that made sense from a business perspective.
Web Data Extraction Specialist
DataTech Labs® Data Recovery • Freelance
Sep 2024 - Dec 2024 • 3 mos
I have worked on extracting structured data from a wide range of websites for clients who needed reliable datasets for different purposes. Each project came with its own requirements, so I had to carefully study how the target website was built before designing the scraping process. Some sites were straightforward, while others required more attention due to how the data was loaded or organized. I made sure the extraction process captured all the necessary fields and that the output remained consistent from one run to another. I also spent time validating the results to ensure accuracy. This included checking for missing values and making sure the data matched what was visible on the website. The goal was always to deliver something that clients could trust and use without second guessing the results.
Data Integration Specialist
Integrated Development Studies Institute • Freelance
Jun 2024 - Jun 2024 • 0 mos
I have worked on combining data from different sources into a single structured dataset. This involved collecting data through scraping and then merging it in a way that made sense. One of the key challenges was ensuring that all sources aligned properly. I handled differences in formatting and made sure that the final output remained consistent. This work helped clients get a complete view of their data instead of dealing with separate files. It also made analysis easier since everything was in one place. The focus was on clarity, consistency, and usability.