Refresh a stale GitHub dataset
Goutam Soni
GitHub Scraper
Re-run this preset to replace an ageing export with current GitHub repositories and keep your records up to date. Configured with a cap of 500.
Input
Output fields
Sign up on Apify or log in
The GitHub Scraper Actor is ready to run with the inputs already set for "Refresh a stale GitHub dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Refresh a stale GitHub dataset" task
The GitHub Scraper Actor will start running based on the input automatically. You can also change all the input fields, like repositories (repo mode), users or organizations (user mode), and more, to match your specific use case.
Receive the "Refresh a stale GitHub dataset" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, repo, login, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Refresh a stale GitHub dataset" task via API.
