I’m working on a thesis about luxury fashion collaborations (e.g., Louis Vuitton x Supreme, Gucci x The North Face) and need support with the data-collection phase. Specifically, I need Python scripts that can automatically scrape public online text data (social media posts, Reddit threads, blogs, press releases) from 2015–2025. The scripts should allow me to set keywords, date ranges, and the number of posts/comments to collect (e.g., 300–1,000). The outputs must be clean, beginner-friendly, well-commented, and exportable to CSV/DataFrames. Sources include Twitter/X, Reddit, fashion blogs (Hypebeast, Highsnobiety, PurseBlog), and official brand sites. The goal is to build a reusable pipeline starting with Louis Vuitton x Supreme, then extend to other alliances. I’m looking for a freelancer experienced in Python web scraping and Pandas who can deliver modular code, clear documentation, and structured datasets. Ideally, the scripts are written in Google Colab or VSCode.
Please let me know if you can do this project. I’m also looking for a trusty partner that would be available and willing to help me in the future for all phases of this project.
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