Skip to main content

Siris Scraper

This is a non-official scraper for statistical data from the Skolverket’s (https://www.skolverket.se/skolutveckling/statistik/)[SIRIS database] built on top of the Statscraper package <https://github.com/jplusplus/statscraper>. It lets you interact with the stat export interface in a pythonic way.

Install

pip install siris_scraper

Example usage

from siris.scraper import SirisScraper

# Init scraper
scraper = SirisScraper()

# List all schooltypes
skolformer = scraper.items

# Select a dataset
dataset = skolformer.get_by_label(u"Grundskolan")\
  .items.get_by_label("Kommunnivå")\
  .items.get_by_label("Personal")\
  .items.get_by_label("Personalstatistik")


# 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
print(dataset.periods)

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

Develop

Set up:

pip install -r requirements.txt

Run tests:

make tests

Deploy

To pypi:

python3 deploy_to_pypi.py

Todo

  • Handle filtering in export (“Begränsa träfflista”)

Metadata

Release files for siris-scraper 0.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for siris-scraper 0.4.0
File Size Uploaded Provenance
siris_scraper-0.4.0.tar.gz 7.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for siris-scraper 0.4.0
File Interpreter ABI Platform
siris_scraper-0.4.0-py3-none-any.whl Python 3 none any Details

Total release size: 14.6 kB

Release files / siris_scraper-0.4.0.tar.gz

Download URL siris_scraper-0.4.0.tar.gz
Size 7.3 kB
Tags Source
SHA-256 checksum
How to use checksums
57794dcdb3ace3da91f4baccfa33d5007c2d40a5e9c00fd764a3adcf161a6891
BLAKE2b-256 checksum
How to use checksums
374a775620603df5adab8679a8451c51037b1c0bc7565018f680caf0b7782a5e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/6.0.0 pkginfo/1.8.1 requests/2.28.2 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Release files / siris_scraper-0.4.0-py3-none-any.whl

Download URL siris_scraper-0.4.0-py3-none-any.whl
Size 7.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c0fa906109de04c542d905480acf2a639c1da9fb663d0c8aeb185284f6cd2869
BLAKE2b-256 checksum
How to use checksums
611a567bd705dacbf08783dbf7af4d95b1deb5d90c28a62088178bc4672c6a42
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.6.0 importlib_metadata/6.0.0 pkginfo/1.8.1 requests/2.28.2 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

Security for siris-scraper 0.4.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page