
This is the first stable release of RedScrap, a lightweight and customizable Python tool designed for netnographic research using Reddit data. RedScrap allows researchers to extract Reddit comments and metadata from posts and subreddits, with filtering options by keyword, post type, and date range. It supports both command-line and graphical user interface (GUI) modes, and outputs data in structured formats (CSV or JSON) suitable for qualitative analysis. This release (v1.0.0) includes: CLI and GUI interfaces Support for subreddit and post-level scraping Filtering by keyword and date range Export to CSV or JSON Basic error handling and documentation Developed as part of a PhD research project at Universiti Teknologi MARA (UiTM), this version was submitted to the Journal of Open Source Software (JOSS) for peer review and citation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
