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A scraper of statistical data from the Siris database of Skolverket, built on top of Statscraper.

Project description

This is a scraper for statistical data from the Skolverket’s ([SIRIS database] built on top of the Statscraper package <>.

The scraper is limited to the data avialble through


pip install siris_scraper

Example usage

from siris.scraper import SirisScraper

# Init scraper
scraper = SirisScraper()

# List all schooltypes
verksamhetsformer = scraper.items
# [<Verksamhetsform: 15 (Fritidshem)>, <Verksamhetsform: 10 (Förskola)>, <Verksamhetsform: 14 (Förskoleklass)>,... ]

# Select a schooltype
verksamhetsform = verksamhetsformer.get_by_label(u"Öppen förskola")

# List all available datasets
datasets = verksamhetsform.items
# [<SirisDataset: 40 (Kostnader per kommun)>...]

# Select a dataset
dataset = datasets.get_by_label("Kostnader per kommun")

# Make a query
res = dataset.fetch()  # Get latest available data
#res = dataset.fetch({"period": "2015"})  # Get data for a given period
#res = dataset.fetch({"period": "*"})  # Get data all periods

# List all avilable periods

# Use the result
# Python Pandas for example
dataframe = res.pandas


Set up:

pip install -r requirements.txt

Run tests:

make tests


To pypi:



  • The scraper does not handle “uttag” at the moment. Fetches latest by default.

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