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

Write a bot for this dataset: 'Finance Licences (Various) - Bank of Papua New Guinea'

Briefing

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

This is the site in question: http://www.bankpng.gov.pg/financial-system-topmenu-130

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

Example

This is the website, that contains links to the PDF with the data.

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This is an example from the PDF, extract the headings and associate them with the company names. Here is some example output for the screenshot below:

{"category": "Commercial Bank", "company_name": "Australia & New Zealand Banking Group (PNG) Ltd"}
{"category": "Commercial Bank", "company_name": "Bank South Pacific Ltd"}
{"category": "Commercial Bank", "company_name": "Maybank (PNG) Ltd"}
{"category": "Commercial Bank", "company_name": "Westpac Bank (PNG) Ltd"}
{"category": "Licensed Financial Institutions (LFI)", "company_name": "Credit Corporation Finance Ltd"}
...

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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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