jplusplus/statscraper

A base library for building web scrapers for statistical data, and a helper ontology for (primarily Swedish) statistical data.

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Emerging

This tool helps journalists, researchers, and data analysts gather structured statistical data from various online sources, particularly those in Sweden. You provide a web address or select from pre-built scrapers, and it outputs organized datasets, often in a table format that can be easily used with tools like Pandas. It's designed for anyone who needs to systematically collect numerical data, like population figures, economic indicators, or environmental statistics, from multiple online sources.

No commits in the last 6 months. Available on PyPI.

Use this if you regularly need to extract consistent, time-series, or categorical statistical data from government websites, public databases, or other online sources, and you want a structured, repeatable way to do it.

Not ideal if you're looking to scrape unstructured text, images, or general web content, or if your primary need is for a simple, one-off data extraction from a single, static page.

data-journalism social-science-research economic-data-collection public-sector-analysis statistical-reporting
Stale 6m
Maintenance 0 / 25
Adoption 6 / 25
Maturity 25 / 25
Community 15 / 25

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Stars

15

Forks

5

Language

Python

License

MIT

Category

scraper

Last pushed

Feb 28, 2025

Commits (30d)

0

Dependencies

3

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