A collection of standalone Python workflows for collecting, processing, and analyzing Reddit data.
This repository grew out of my work with Reddit data since 2020. Over that time, I have developed scripts and repeatable processes for tasks such as data collection, cleaning, dataset construction, text analysis, and network analysis. This repository organizes those approaches into practical, reusable workflows that may also be useful to other researchers and data practitioners.
The workflows are intended to be straightforward, independently usable, and adaptable to different Reddit research projects.
- Provide reusable Python workflows for Reddit data
- Turn commonly repeated research tasks into documented processes
- Support practical data collection, preparation, and analysis
- Produce outputs that can be used in common research and data-science tools
- Keep individual workflows independent and relatively easy to modify
- Avoid including private datasets, API credentials, or project-specific information
The repository will include utilities covering areas such as:
- Reddit API data collection
- Submission and comment retrieval
- Data cleaning and preprocessing
- Dataset construction and merging
- User and community activity analysis
- Network and co-occurrence analysis
- Text preparation and extraction
- Research reproducibility
- Exporting data for downstream analysis
Each workflow is kept in its own folder and generally includes:
- Python source code
- A workflow-specific README
- Installation requirements
- Input and output documentation
- Command-line usage instructions
The workflows are not intended to form one large software package. They can be downloaded, modified, and run independently depending on the needs of a project.
These workflows may be useful to:
- Researchers working with Reddit data
- Computational social scientists
- Data scientists
- NLP practitioners
- Students
- Developers building Reddit datasets or analysis pipelines
The emphasis is on practical scripts rather than a large framework. Workflows are designed around tasks that commonly arise when working with Reddit data, including retrieving records, restructuring conversations, cleaning text, combining data sources, and preparing datasets for statistical, network, or machine-learning analysis.
Where practical, workflows support common formats such as CSV, JSON, Parquet, and Excel.
This repository does not include Reddit datasets or API credentials.
Some workflows may require users to provide their own Reddit API credentials or input data. Credentials and generated datasets should not be committed to a public repository.
Users are responsible for complying with Reddit's current Terms of Service, API requirements, and privacy policies. Researchers should also follow applicable institutional, ethical, and data-protection requirements.
This repository is not affiliated with or endorsed by Reddit.
See the repository license for details.