MediaWiki Extractor - Wikipedia Text, Sections & Infobox

Turns a list of article URLs into normalized records: title, author, dates, canonical, heading outline, main text, word count, language, an extraction-confidence score, and per-field provenance.

Wikipedia structured data with chunks

apily/wikipedia-structured-data-with-chunks

Extract structured data from any Wikipedia page: full text, infobox,tables, images, references, categories, links, Wikidata QID, and revision metadata. Async, cached, and ready for bulk pipelines.

Wikipedia Scraper API — Articles, Summaries & Full Text

factpipe/wikipedia-scraper

Get Wikipedia articles by title, URL or keyword search in any language: summary, full plain text, categories, Wikidata ID, coordinates, thumbnail, last edit. Official API, no key. $1 per 1,000 articles.

Extract and structure articles from any news or research site using AI for clean text, metadata, and autogenerated summaries to feed AI models or content platforms.

Turn any article into clean markdown for LLMs. Renders JS-heavy pages, strips ads and navigation, pay only for successful extractions. Best for blog posts, news articles, and documentation pages — not homepage or listing pages.

Extract structured content from Wikipedia articles. Get summaries, sections, categories, infobox data, images, and internal links in any language.

Main text of the article and blog URLs you list, as plain text and Markdown, with title, author, date and language. Article-body F1 0.959 on a held-out half of a public benchmark. One request per URL, robots.txt obeyed; blocked pages reported, not bypassed.

Scrape all articles from any Zendesk Help Center. Full plain-text bodies with sections, categories and labels. Ready for RAG, AI support bots and knowledge base migration.

Scrape CNBC news and CNBC Pro articles into structured records: headline, authors, section, tags, ticker symbols, dates and the full article body. Give it article URLs or section names (technology, markets, economy...) — ideal for news monitoring, research and AI pipelines.

Turn any website's sitemap into clean, LLM-ready Markdown. Auto-discovers sitemaps via robots.txt, extracts article text, tables, headings, links and images while stripping navigation, ads and cookie banners. Filter pages by lastmod date.