Missions Write a bot for this dataset: 'Financ...

Write a bot for this dataset: 'Finance Licences (Various) - National Bank of Rwanda'


Your mission is to write a bot (some code) to transform a website into open data

This is the site in question: http://www.bnr.rw/index.php?id=195

This is one for people with technical skills - specifically coding in Ruby or Python (other languages are in the pipeline)


This is the website, that contains a link to "List of Licensed Banks" on the right.


Following this link, you are presented with a WORD document download.


This missions needs the table in the WORD document to be parsed. Here is some example output that could be extracted from the table in the document:

{"category": "Commercial Bank", "company_name": "I&M Bank Rwanda Ltd( ex Banque Commerciale du Rwanda (BCR", "company_website": "www.imbank.com/rwanda", "year_licensed": "1963"},
{"category": "Commercial Bank", "company_name": "Bank of Kigali Ltd", "company_website": "www.bk.rw", "year_licensed": "1966"},...


Here's how we suggest you go about it:

  1. Start by clicking 'Accept this mission' on this page. Don't worry, you can always give up if you can't finish it.
  2. You'll write the scraper using our "Turbot" framework. Head over to the Turbot website to and click "Start contributing" to read a getting started guide.
  3. If you have any questions, whether they are technical or about the data, get in touch and ask!
  4. When you think you've written a suitable bot, submit it for review using the Turbot command line tool.
  5. Once we've checked over the data, we'll either tell you if anything needs to be fixed or we'll accept the bot which means your mission will be complete!
Still not sure? Don't worry!

Whilst this does require you to be able to code, its probably not as hard as you think. Take a look at our example bots to get a feel for what's required.

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