This code exposes a working NodeJS server, that scrapes and matches food and dining deals in Singapore.
Multiple deals for a given restaurant are matched automatically by the algorithm in O(n^2) time.
At current, the following sources are supported.
Help would be appreciated to integrate more providers below:
| Source | Status |
|---|---|
| Burpple | Scraped |
| Chope Deals | Scraped |
| Chope Outlets | Outlets not scraped yet |
| Amex | Scraped |
| Citi | Scraped |
| OCBC | |
| HungryGoWhere |
- Scraping OCBC promos
- Scraping HungryGoWhere promos
- Refactoring code
- Improving matching algorithm time / space efficiency and accuracy (O(n^2) time, O(n) space at current)
You will need to have node and a working MongoDB instance running. Populate the values in .env.
To install, use the following:
$ yarn # yarn
$ npm install # npm
To run, use the following:
$ yarn run dev # yarn
$ npm run dev # npm
Please open on GitHub issues.