Minimal Python script to scrape data from different source of Pemilu live count websites (kawalpemilu.org, pemilu2024.kpu.go.id) and serve the api using Flask (Initially will be used to feed data to my visualisation)
Access it from http://157.230.44.40/{source}. Data updates every 10 minutes.
Available sources:
- kawalpemilu.org (
kawalpemilu) - pemilu2024.kpu.go.id (
kpu)
E.g., fetching from http://157.230.44.40/kpu will return json of counts from KPU
Sample (data/provinces_data.json)
{"data": {"ACEH": {"paslon_1_ratio": 80.23, "paslon_1_count": 4962, "paslon_2_ratio": 18.17, "paslon_2_count": 1124, "paslon_3_ratio": 1.6, "paslon_3_count": 99, "cakupan_ratio": 0.22, "cakupan_count": "36/16,046", "cakupan_jaga_ratio": 13.86, "cakupan_jaga_count": "2,224/16,046"}, "BALI": {"paslon_1_ratio": 6.65, "paslon_1_count": 5086, "paslon_2_ratio": 55.44, "paslon_2_count": 42372, "paslon_3_ratio": 37.91, "paslon_3_count": 28975, "cakupan_ratio": 2.8, "cakupan_count": "359/12,809", "cakupan_jaga_ratio": 6.59, "cakupan_jaga_count": "844/12,809"}, "BANTEN": {"paslon_1_ratio": 37.88, "paslon_1_count": 35676, "paslon_2_ratio": 47.17, "paslon_2_count": 44424, "paslon_3_ratio": 14.94, "paslon_3_count": 14074, "cakupan_ratio": 1.25...- Make the API public
- Scrape city/regency level data
- Save and load data directly to/from Postgre instead of saving it to JSON
- Add more sources
- Add feature to access older vote counts
All credit for the data belongs to the KawalPemilu team!
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