📊 Dataverse to Bluesky GitHub Action

This GitHub Action:

1. Pulls datasets from your Harvard Dataverse collection
2. Commits the dataset list as datasets.json to the repository
3. Posts a random dataset to your Bluesky feed with title + link

Perfect for sharing research assets and building visibility.

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🔧 Setup

1. Required Secrets

Set the following secrets in your GitHub repository:

Secret Name	Description
DATAVERSE_TOKEN	Your Harvard Dataverse API token
BSKY_HANDLE	Your Bluesky handle (e.g. soodoku.bsky.social)
BSKY_PASSWORD	Your Bluesky password or app password

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2. Sample Workflow (.github/workflows/monthly.yml)

name: Monthly Dataverse + Bsky

on:
  schedule:
    - cron: "0 6 1 * *"  # Run on the 1st of every month
  workflow_dispatch:

jobs:
  update-and-post:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.11"

      - name: Install dependencies
        run: pip install requests atproto

      - name: List datasets
        env:
          DATAVERSE_TOKEN: ${{ secrets.DATAVERSE_TOKEN }}
        run: |
          python scripts/list_datasets.py \
            -b https://dataverse.harvard.edu \
            -t $DATAVERSE_TOKEN \
            --alias soodoku \
            -o datasets.json

      - name: Commit datasets.json
        run: |
          git config user.name "github-actions[bot]"
          git config user.email "github-actions[bot]@users.noreply.github.com"
          git add datasets.json
          git commit -m "Update datasets.json [skip ci]" || echo "No changes"
          git push

      - name: Post to Bluesky
        env:
          BSKY_HANDLE: ${{ secrets.BSKY_HANDLE }}
          BSKY_PASSWORD: ${{ secrets.BSKY_PASSWORD }}
        run: python scripts/post_random_dataset_bsky.py

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📜 License

MIT © Gojiplus