Pricing

from $0.67 / 1,000 results

Try for free

Go to Apify Store

Wikipedia Scraper [$0.7💰/1k] | RAG & AI Training

Try for free

Extract structured data from Wikipedia articles — infoboxes, sections, tables and full text. Build knowledge graphs, RAG pipelines and AI training datasets from the world's largest encyclopedia.

Pricing

from $0.67 / 1,000 results

Rating

0.0

(0)

Developer

Ahmed Jasarevic

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Developer tools

Other

Start URLs

startUrls

Required

URLs to start scraping from (Wikipedia article URLs).

Type:array

Min. items:1

Extract Infobox

extractInfobox

Optional

Whether to extract infobox key-value pairs from the top-right infobox.

Type:boolean

Default:true

Extract Section Headings

extractSectionHeadings

Optional

Whether to extract section headings (h2, h3) and their hierarchy.

Type:boolean

Default:true

Extract Article Text

extractMainText

Optional

Whether to extract the full article text plus per-section text of each page.

Type:boolean

Default:true

Max Text Length per Section

maxSectionTextLength

Optional

Maximum number of characters stored per section's text (0 = unlimited).

Type:integer

Minimum:0

Default:50000

Extract Tables

extractTables

Optional

Whether to extract wikitext tables from the article content.

Type:boolean

Default:true

Extract Wikitext

extractWikitext

Optional

Whether to extract the raw wikitext of the article.

Type:boolean

Default:false

Max Infobox Fields

maxInfoboxFields

Optional

Maximum number of infobox fields to extract (0 = all).

Type:integer

Minimum:0

Default:50

Max Section Depth

maxSectionDepth

Optional

Maximum section heading depth to extract (1 = h2 only, 2 = h2+h3, etc.).

Type:integer

Minimum:1

Maximum:6

Default:3

Max Tables

maxTables

Optional

Maximum number of tables to extract (0 = all).

Type:integer

Minimum:0

Default:20

Use Wikipedia API for Infobox

useApiForInfobox

Optional

Use Wikipedia REST API to parse infobox from wikitext (more accurate). Disable to use HTML parsing only.

Type:boolean

Default:true

Use Wikipedia API for Sections

useApiForSections

Optional

Use Wikipedia REST API to get section hierarchy from TOC (more accurate). Disable to use HTML parsing only.

Type:boolean

Default:true

Wikipedia Language

language

Optional

Wikipedia language edition code (e.g., 'en', 'de', 'fr', 'es', 'ja', 'zh').

Type:string

Default:en

Max Requests per Crawl

maxRequestsPerCrawl

Optional

Maximum number of pages to scrape (0 = unlimited).

Type:integer

Minimum:0

Default:100

Max Concurrency

maxConcurrency

Optional

Maximum concurrent requests (higher = faster but more likely to hit rate limits).

Type:integer

Minimum:1

Maximum:10

Default:4

Wikipedia Category Scraper — Articles for RAG & AI

fast_api/wikipedia-category-scraper

Extract Wikipedia articles from any category with titles, URLs, extracts, page IDs, categories, and metadata. A fast MediaWiki API actor for building RAG datasets, knowledge bases, research corpora, and AI training data.

Fast API

Wikipedia Article Extractor

glassventures/wikipedia-article-extractor

Extract Wikipedia articles via MediaWiki API. Get full text, summaries, sections, categories, images, links. Multi-language. Perfect for AI/ML training data and RAG.

Glass Ventures

Wikipedia Scraper | $5 / 1k | Fast & Reliable

fatihtahta/wikipedia-scraper

Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.

Fatih Tahta

Wikipedia Page Dataset Scraper

scrapeai/wikipedia-page-dataset-scraper

Scrape Wikipedia articles and export structured dataset fields for training, knowledge bases, and research.

ScrapeAI

5.0

Wikipedia Table Extractor

lafuan/wikipedia-data

Extract structured data from Wikipedia tables as clean JSON. Supports all languages, multiple tables and header detection. Ideal for AI training data and research.

Muhammad Naufal

Wikipedia Scraper — Search Articles & Extract Content

puskin/wikipedia-scraper

Search Wikipedia articles, get summaries, and extract full page content via the free MediaWiki API. No authentication required — perfect for research, AI training data, and knowledge base building.

Giovanni Bucci

Wikipedia Scraper - Articles, Summaries & Full Text for AI/RAG

flash_scraper/wikipedia-scraper

Wikipedia full text scraper: search by keyword or fetch exact titles in 300+ languages and get the intro summary or the full article plaintext plus word count, categories, thumbnail and URL. Free, keyless MediaWiki API. Built for RAG, LLM training and research. CSV/JSON/Excel.

Flash Scrape

Wikipedia Article Extractor Pro

noetic_caption/wikipedia-extractor

Extract full article content from Wikipedia — search, categories, or URLs. Rich structured output with sections, categories, links, images. No API key needed, 100+ languages. Perfect for AI training data, knowledge bases, research.