https://github.com/pedesen/twitter-highscore

A local node app which is showing highscores based on a twitter timeline
https://github.com/pedesen/twitter-highscore

Last synced: about 1 month ago
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A local node app which is showing highscores based on a twitter timeline

• Host: GitHub
• URL: https://github.com/pedesen/twitter-highscore
• Owner: pedesen
• License: mit
• Created: 2015-09-17T09:56:05.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-14T09:21:01.000Z (about 9 years ago)
• Last Synced: 2024-10-25T06:50:25.258Z (3 months ago)
• Language: JavaScript
• Size: 172 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# twitter-highscore

A local node app which is showing highscores based on a twitter timeline

## Getting Started

Create a new Twitter App here: https://apps.twitter.com/

Create a file named config.json and paste in your twitter credentials from the link above (see [config_example.json](config_example.json))

Add some more configuration properties to config.json:

* *screen_name*: check this user's twitter feed for highscore tweets

* *since_id*: the id of a tweet since tweets should be fetched

* *regex*: a regular expression which returns a user name as the first and the score as the second group

* *num_top*: the first x users should appear in the highscore list

* *from_date*: filter tweets which are posted earlier than this date. Format: "YYYY-MM-DD HH:MM"

* *to_date*: filter tweets which are posted later than this date. Format: "YYYY-MM-DD HH:MM"

* *refresh*: the refresh rate of the highscore list in seconds

Run the development server (don't use in production!!):

`npm install`

`npm run start`

This servess all necessary files on port 3000, so you can see the highscores in your browser: `http://localhost:3000`

**Please note:** There is a limit of requests to the Twitter API! Only 180 requests (200 tweets each) are allowed per 15 minutes ([more info](https://dev.twitter.com/rest/reference/get/statuses/user_timeline)). You can reduce the amount of requests by setting the *since_id* property to the latest possible tweet.