# stanfordjournalism/search-script-scrape

101 real world web scraping exercises in Python 3 for data journalists

Repository: https://github.com/stanfordjournalism/search-script-scrape
Canonical: https://ross.abutalabs.com/products/search-script-scrape
Homepage: https://github.com/compjour/search-script-scrape#repo-status
Language: Python
License Family: other
Last push: 2021-10-14T16:18:41+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4105, "days_push": 1784, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1234, forks 224 (observed 2026-08-28T04:04:04.711804+00:00)

## What it is
A collection of 101 real-world web scraping and data-collection exercises in Python 3, created for Stanford's Computational Journalism class. Each task involves researching a data source online and writing a short script to fetch and print the answer.

## Use cases
- learn web scraping with python 3
- practice exercises for data journalism
- find examples of scraping public government data
- teach a computational journalism class
- get started with python data collection tasks
- examples of fetching and parsing web data

## When to choose
- you want hands-on scraping practice with real-world targets
- you're teaching or learning data journalism and need exercise material
- you want small example scripts for scraping public datasets

## When to avoid
- you need production-quality, best-practice scraping code
- you need a maintained library or framework for scraping
- you need up-to-date scripts, since many target sites have changed

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: web-scraping, developer-tools
- domain: data-science, education, crawlers
- platform: python, cross-platform
- tags: data-journalism, exercises, python3, computational-journalism, tutorial

## Member repositories
- stanfordjournalism/search-script-scrape (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.711804+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:22:11.912817+00:00, confidence not recorded.
  - readme: https://github.com/stanfordjournalism/search-script-scrape (fetched 2026-08-28T04:04:04.711804+00:00, sha 630a925d8ef6)
  - homepage: https://github.com/compjour/search-script-scrape#repo-status (fetched 2026-08-29T12:21:56.987023+00:00, sha 2b0ddf816525)
- Data as of 2026-08-30T08:39:29.467469+00:00.