https://github.com/sdclarkelab/jamstockex-scraper

Jamaica Stock Exchange (jamstockex/ JSE) website scraper
https://github.com/sdclarkelab/jamstockex-scraper

beautifulsoup4 heroku jamaica jamaica-stock-exchange jamstockex jamstockex-scraper jse mongodb python sdclarkelab stockwatchja webscrapper

Last synced: 27 days ago
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Jamaica Stock Exchange (jamstockex/ JSE) website scraper

• Host: GitHub
• URL: https://github.com/sdclarkelab/jamstockex-scraper
• Owner: sdclarkelab
• License: mit
• Created: 2020-06-09T00:01:30.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-07T22:34:02.000Z (almost 3 years ago)
• Last Synced: 2023-03-07T21:44:57.610Z (almost 2 years ago)
• Topics: beautifulsoup4, heroku, jamaica, jamaica-stock-exchange, jamstockex, jamstockex-scraper, jse, mongodb, python, sdclarkelab, stockwatchja, webscrapper
• Language: Python
• Homepage: https://jamstockex-api.herokuapp.com/api/v1/stocks
• Size: 55.7 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# StockWatchJa: JamStockEx Scraper

The **StockWatchJa: JamStockEx Scraper** scrapes the [Jamaica Stock Exchange](https://www.jamstockex.com/) website daily using Python and saves to a MongoDB collection.

The data is then served as JSON by **[StockWatchJA: JamStockEx API](https://github.com/sdclarkelab/jamstockex-api)** at this [URL](http://jamstockexapi.stockwatchja.com/stocks).

#### The following stock data is scraped:

- All Listed Stocks

- Dividends pending payout dates

- Stock details:

    - Name

    - Instrument Code

    - Currency

    - Sector

    - Type

    - Website

    - Market

    - Volume Traded

    - Dollar Change

    - Market Price

    - Percentage Change

## Requirements

Tool | Version  | Source |

--- | --- | --- |

Python |3.7.0| [Python 3.7.0 Release](https://www.python.org/downloads/release/python-370/)|

Windows OS| 10 | - |

#### Create Secrets.json file

Create ".env" in application root folder

```.env

NODE_ENV=dev

DB_CONN_STR=""

DB_NAME=stockwatch

STOCK_COL=stock

```

#### Initialize database

```shell script

python main.py

```