Store Medium bookmarks in a data.world dataset
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Other popular data.world workflows and automations
- Sync data once on specific days
- Store favorite Tweets in a data.world dataset
- Store current weather reports from Weather Underground in a data.world dataset
- Add new spreadsheets from Google Sheets to a data.world dataset
- Add new files from Google Drive to a data.world dataset
- Store tweets by a specific user in a data.world dataset
- Sync data every day at a specific time
- Add new files from Dropbox to a data.world dataset
Useful data.world and NewsBlur integrations
Triggers (If this)
- New unread storyThis Trigger fires every time a feed or folder has a new unread story.
- New unread focus storyThis Trigger fires every time a feed or folder has a new unread focus story.
- New saved storyThis Trigger fires every time you save a new story on NewsBlur.
- New shared storyThis Trigger fires every time you or another user shares a new story.
Queries (With)
- History of unread storiesThis query returns a list of when feed or folder had new unread stories.
- History of saved storiesThis query returns a list of when you saved new stories on NewsBlur.
- History of shared storiesThis query returns a list of when you or another user shared new stories.
- History of unread focus storiesThis query returns a list of when feed or folder had new unread focus stories.
Actions (Then that)
- Share a storyThis Action will share a new story on your blurblog.
- Add file from URLThis action will add a file via URL to a data.world dataset or data project. If a file already exists with the same name, it will be updated.
- Save a storyThis Action will save a new story to your stories list.
- Sync files and streamsThis action will initiate the sync process for a data.world dataset or data project. data.world will fetch the latest version of all files added via URL and process data streamed since the last sync.
- Add a new siteThis Action will attempt to add a new site from a feed or page URL.
- Append to a streamThis action will append a new record to a stream in a data.world dataset or data project. New data appended to a stream will be processed the next time sync runs.
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