Article Scraper & Text Extractor – Clean Markdown for LLM/RAG
Article scraper & web page text extraction: turn any list of URLs into clean article text and Markdown (HTML to Markdown) with title, author, date, site, language and word count. Boilerplate removed; content extraction for LLM/RAG. Works as a news article & blog scraper. No browser, fast.
Paste a list of URLs and get the main content of every page as clean plain text and Markdown, with title, author, published date, site name, language, description and word count. Menus, sidebars, footers, cookie notices, scripts and styles are removed (using Mozilla Readability, the engine behind Firefox Reader View), so what you get is the article itself, ready to chunk and embed.
Use it to: feed web pages into an LLM or RAG pipeline, build a knowledge base from docs or blog posts, collect articles for summarisation or classification, archive readable copies of pages, or get word counts and metadata for a list of URLs.
Pricing
Extract clean article text, title, author, date and Markdown from any list of URLs. No browser, fast, per-URL errors. $1 per 1,000 articles. Pay per result on Apify; you need an Apify account (Apify's free plan includes monthly usage credit).
This is a hosted data tool that runs on the Apify platform, built with AI assistance by an independent developer. Full documentation, input options and output examples are on the Apify page.