a simple python demo script which parses the downdetector website for json data for use in reporting
- This was a 3 hour demo project. Nothing deep. Evaluate as such
- I advide the use of downdetector's supported api if you find this of value
- I have nothing to do with downdetector. Just a random guy deving
downdetector datascrapeer
optional arguments:
-h, --help show this help message and exit
--company COMPANY, -c COMPANY
the company name you wish to get data for
--start-year START_YEAR, -sy START_YEAR
beginning year to search from
--start-month START_MONTH, -sm START_MONTH
beginning month to search from
--end-year END_YEAR, -ey END_YEAR
ending year to search to. Defaults to this year
--end-month END_MONTH, -em END_MONTH
ending month to search to. Defaults to this month
--output OUTPUT, -o OUTPUT
The file you want to dump the csv data into. Defaults to a calculated name in this directory
--plot, -p plot this data in a window
--plot-title PLOT_TITLE, -pt PLOT_TITLE
X axis titles: M=Months, W=Weeks, D=Days. Defaults to M
--debug, -d show processing information
# show me the issues at amazon for June of 2020. Plot and use Days in the title
# csv is saved to the local directory calculated
./downdetector_feed.py -c amazon -sy 2020 -sm 6 -d -p -pt d
"date","count"
2020-06-11T03:44:10-04:00,4
2020-06-11T03:59:10-04:00,7
2020-06-11T04:14:10-04:00,6
2020-06-11T04:29:10-04:00,6
2020-06-11T04:44:10-04:00,2
2020-06-11T04:59:10-04:00,4
2020-06-11T05:14:10-04:00,12
2020-06-11T05:29:10-04:00,9
2020-06-11T05:44:10-04:00,2
2020-06-11T05:59:10-04:00,1
2020-06-11T06:14:10-04:00,5
2020-06-11T06:29:10-04:00,4
2020-06-11T06:44:10-04:00,4
2020-06-11T06:59:10-04:00,9
2020-06-11T07:14:10-04:00,8
2020-06-11T07:29:10-04:00,4
2020-06-11T07:44:10-04:00,7
2020-06-11T07:59:10-04:00,14
2020-06-11T08:14:10-04:00,7
2020-06-11T08:29:10-04:00,6
2020-06-11T08:44:10-04:00,16
2020-06-11T08:59:10-04:00,12
2020-06-11T09:14:10-04:00,6
2020-06-11T09:29:10-04:00,8