Instaparser – An API for Instapaper's parser
Structured article extraction, PDF parsing, and AI-ready summaries through one fast API.
Instaparser – An API for Instapaper's parser launched on April 5, 2016 with 12 votes, #1,780 of 4,301 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 10 years on.
In plain words
Instaparser is an API that extracts structured article content from URLs and PDFs, including titles, authors, body text, images, and metadata without requiring custom selectors. It handles scanned documents, multi-column layouts, and tables, and can generate concise summaries of web content in a single API call. The service is designed for developers and applications that need to parse and organize web content quickly for uses like link previews or reducing context for language models.
written from the facts on this page · September 2026
From the sources
Structured article extraction, PDF parsing, and AI-ready summaries through one fast API. Everything you need to extract, parse, and summarize web content. All included in every plan. Structured article content from any URL — title, author, body, images, metadata. No selectors. No scraping. Just content. Upload a PDF or pass a URL. Get clean, structured text back. Handles scanned documents, multi-column layouts, and tables. Get a concise summary of any URL's content in a single API call. Great for previews, link cards, and trimming LLM context windows. Other APIs fight with bot detection and proxies to access pages. Instaparser focuses on understanding page content — so you get…from instaparser.com
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