For once a project without a visual: a few weeks ago I launched a Twitterbot that scrapes the German parliament's website where party donations larger than €50,000 are published. Unfortunately the website is completely managed by hand and they make mistakes. A lot of mistakes. Some of them drive my scraper completely crazy and that drove the bot's followers crazy. That's why I want to spend time on make the script bulletproof.
Details
Possible headline(s): Twitterbot for party donations 2.0
Pitch
Summary
For once a project without a visual: a few weeks ago I launched a Twitterbot that scrapes the German parliament's website where party donations larger than €50,000 are published. Unfortunately the website is completely managed by hand and they make mistakes. A lot of mistakes. Some of them drive my scraper completely crazy and that drove the bot's followers crazy. That's why I want to spend time on make the script bulletproof.
Details
Possible headline(s): Twitterbot for party donations 2.0
Data set(s): https://www.bundestag.de/parlament/praesidium/parteienfinanzierung/fundstellen50000/2017/2017-inhalt/488236
Code repository: https://github.com/marcelpauly/parteispenden (going to translate it very soon)
Possible problems/fears/questions: to anticipate all possible mistakes they could make
Work so far
The scraper works - if the websites content is like it is supposed to be.
Checklist
This checklist must be completed before you submit your draft.
[Project]
in the title