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https://github.com/sbaack/github-scraper
A scraper focused on organizational Github accounts and their members.
https://github.com/sbaack/github-scraper
Last synced: about 2 months ago
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A scraper focused on organizational Github accounts and their members.
- Host: GitHub
- URL: https://github.com/sbaack/github-scraper
- Owner: sbaack
- License: gpl-3.0
- Created: 2015-09-21T13:10:24.000Z (almost 9 years ago)
- Default Branch: main
- Last Pushed: 2022-08-01T13:23:33.000Z (about 2 years ago)
- Last Synced: 2024-07-27T06:38:28.774Z (about 2 months ago)
- Language: Python
- Homepage:
- Size: 82 KB
- Stars: 39
- Watchers: 2
- Forks: 13
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-starred - sbaack/github-scraper - A scraper focused on organizational Github accounts and their members. (others)
README
# GitHub scraper
This tool focuses on scraping information from _[organizational Github accounts](https://developer.github.com/v3/orgs/)_, which means that it only takes a list of organizations as input, not normal user accounts. It generates CSV spreadsheets or [GEXF](https://gephi.org/gexf/format/) files to be used in network analysis software like [Gephi](https://gephi.github.io/).
The scraper offers the following options:
```
usage: github_scraper.py [-h] [--all] [--repos] [--contributors] [--member_repos] [--member_infos] [--starred] [--followers]
[--memberships]
Scrape organizational accounts on Github.
optional arguments:
-h, --help show this help message and exit
--all, -a scrape all the information listed below
--repos, -r scrape the organizations' repositories (CSV)
--contributors, -c scrape contributors of the organizations' repositories (CSV and GEXF)
--member_repos, -mr scrape all repositories owned by the members of the organizations (CSV)
--member_infos, -mi scrape information about each member of the organizations (CSV)
--starred, -s scrape all repositories starred by the members of the organizations (CSV)
--followers, -f generate a follower network. Creates full and narrow network graph, the latter only shows how scraped
organizations are networked among each other (two GEXF files)
--memberships, -m scrape all organizational memberships of org members (GEXF)
```
I originally wrote this scraper in 2015 for my dissertation about civic tech and data journalism. You can find the data I scraped and my analysis [here](https://sbaack.com/blog/scraping-the-global-civic-tech-community-on-github-part-2.html). If you're interested, my final dissertation is available [here](https://research.rug.nl/en/publications/knowing-what-counts-how-journalists-and-civic-technologists-use-a).
## Setup
You need Python 3.9+.
```bash
# Clone this repository
git clone https://github.com/sbaack/github-scraper.git
# Create virtualenv with your preferred tool, for example:
cd github-scraper
python -m venv github-scraper_venv && source github-scraper_venv/bin/activate
# Install necessary dependencies
python -m pip install -Ur requirements.in
```
Next, you need to add information to two configuration files. First, add your GitHub user name and your [personal access token](https://github.com/settings/tokens) to access the GitHub API in the `config.json` file. Second, add the Github account names of the organizations you want to scrape to the `organizations.csv` spreadsheet in the column *github_org_name*. For example, if you want to scrape [mySociety](https://github.com/mysociety), [Open Knowledge](https://github.com/okfn), and [Ushahidi](https://github.com/ushahidi), your file will look like this:
| github_org_name |
| :-------------- |
| mysociety |
| okfn |
| ushahidi |
Note that you can you add as many columns with additional information as you like, this scraper will only read the *github_org_name* column.
# How to use
Start the scraper with the desired options listed above. Some examples:
```bash
# Scrape everything this scraper provides
python -m github_scraper --all
# Scrape organizations' repos and generate follower networks
python -m github_scraper --repos --followers # OR use the shortcuts: python -m github_scraper -r -f
# Only scrape starred repositories
python -m github_scraper --starred # OR github_scraper -s
```
The results will be stored in the `data` subfolder, where each scrape creates it's own directory named according to the date (in the form of YEAR-MONTH-DAY_HOUR-MINUTE-SECOND).