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Easy scraper that extracts data from Wikipedia articles thanks to its URL slug

Project description

CC BY 4.0 Downloads

wikiscraper

Easy scraper that extracts data from Wikipedia articles thanks to its URL slug : title, images, summary, sections paragraphs, sidebar info

Developed by Alexandre MEYER

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

Installation

$ pip install wikiscraper

Initialization

Import

import wikiscraper as ws

Main request

# Set the language page in Wikipedia for the query
# (ISO 639-1 & by default "en" for English)
ws.lang("fr")
# Search and get content by the URL slug of the article
# (Example : https://fr.wikipedia.org/wiki/Paris)
result = ws.searchBySlug("Paris")

Examples

Title H1 & URL

# Get article's title
result.getTitle()
# Get article's URL
result.getURL()

Sidebar

# Get value of the sidebar information label
result.getSideInfo("Gentilé")

Abstract

# Get all paragraphs of abstract
print(result.getAbstract())
# Get the second paragraph of abstract
print(result.getAbstract()[1])
# Optional : Get the x paragraphs, starting from the beginning
print(result.getAbstract(2))

Images

# Get all illustration images
img = result.getImage()
# Get a specific image thanks to its position in the page
print(img[0]) # Main image

Sections

# Get table of contents
# Only first headlines
print(result.getContentsTable())
# All headelines (first and second levels)
print(result.getContentsTable(subcontents=True))
# Get paragraphs from a specific section thanks to the parents' header title
# All optional args : .getSection(h2Title, h3Title, h4Title)
# Exemple : https://fr.wikipedia.org/wiki/Paris#Politique_et_administration
print(result.getSection('Politique et administration', 'Statut et organisation administrative', 'Historique')[0])

Errors

"Unable to find the requested query: please check the spelling of the slug"

  • Check if the spelling of the slug is correct
  • Check if the article exists
  • Check if the language set for the query matches with the slug (by default the search is for English articles)

Versions

  • 1.1.0 = Error Handling
  • 1.0.0 = init

Project details


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