Wikipedia JSON-LD Structured Data Scraper

Extract structured JSON-LD and Schema.org data from any web page. Pull products, articles, breadcrumbs, and rich results for SEO and data work.

Wikipedia Structured Data Scraper

parseforge/wikipedia-structured-data-scraper

Extract embedded JSON-LD structured data from Wikipedia pages. Returns schema.org fields including @type, name, description, author, publisher, date, license, and interaction statistics. No API key required.

Extract Schema.org JSON-LD structured data from any website. Fast, lightweight HTTP-based scraper that pulls all JSON-LD scripts - perfect for SEO analysis, product data extraction, and AI/RAG pipelines. No browser overhead.

Extract structured data from Wikipedia articles by topic or keyword. Get title, summary, description, thumbnail, coordinates and related links. Supports all Wikipedia languages. No API key required.

Extract Product schema.org JSON-LD from e-commerce pages: name, brand, price, rating.

Wikipedia Article Scraper

crawlerbros/wikipedia-scraper

Extract structured data from Wikipedia articles. Get summaries, categories, images, metadata, and descriptions using Wikipedia's official API. Supports 300+ languages.

Check JSON-LD structured data quality and rich-result readiness.

JSON-LD Extractor - Schema.org Structured Data & Rich Snippets

ninhothedev/json-ld-extractor

$0.5/1K 🔥 JSON-LD structured data extractor! Pull Schema.org markup — products, articles, recipes & events — from any URL. No API key. Export JSON, CSV, Excel or API in seconds. Perfect for SEO audits & RAG ⚡

LD+JSON Schema scraper

pocesar/json-ld-schema

Extract all LD+JSON tags from the given URLs.