All projects on Base matching “web page to markdown”

Multi-page research brief with cited sources. Crawl one URL and follow its links, or pass a list of URLs, and get a synthesized answer to your question as JSON with a sources array, optionally shaped by your JSON Schema. Use it to compare several pages, gather a list across a site, summarise a topic from multiple sources, or answer a question that spans documents. Up to 8 pages per call, typically

Fetch a public web page and return clean, readable Markdown (main-article extraction via Readability, scripts/nav/ads stripped). Body: {"url": "https://..."}. Private/localhost URLs are refused; pages over 2 MB are refused; output capped at 200k chars. Not charged on errors.

URL to Markdown API for AI agents. Converts a public web page into clean Markdown for LLMs and RAG pipelines: main content only (no nav, ads or scripts), absolute links, plus title, description and language metadata. Suited to AI agents that read, cite or summarize web pages. Respects robots.txt; only successful reads are charged. Search intents: url to markdown, web page to markdown api, web scra

Extract web content from any page or PDF as clean Markdown — web page text, HTML to Markdown for any URL: strips scripts, nav, ads, and boilerplate while preserving headings, links, lists, tables, code blocks, and blockquotes; extracts the text layer from PDFs. Returns Markdown body, title, word count, and a quality grade. Web reader for article and main content. For JS-rendered or bot-walled page

Scrape website page to Markdown. Fetch any public web page URL and get clean, LLM-ready text or Markdown: main content, code blocks, tables, links and headings, for RAG and agent context. Static HTML, Markdown or text; optional section ID. Default 20,000 output characters, max 100,000; input 2 MiB. No JavaScript rendering (see /extract/rendered), logins or paywalls. Empty pages, bad sections, brow

Fetch one public web page now and return clean markdown (or plain text) of the main content plus title, description, author, published time, canonical, language and sha256. Charged only on success.

Webpage text extraction: extract clean text from any webpage. Extract the clean readable text from a public webpage with title, headings, links and SHA-256; add format=markdown for Markdown or render=true to render JavaScript pages. Web read / fetch URL / scrape URL to markdown — public webpage to clean text or Markdown with headings, links and SHA-256, for RAG and research. Batch up to 10 URLs; o

Scrape any web page: URL to Markdown / HTML to Markdown for LLM context. Readability article extraction strips nav, ads, scripts, and footers while keeping tables and code blocks. Optional render:true executes JavaScript in a headless browser for SPAs (React/Next/Vue).

Markdown only: fetch a public web page (robots.txt respected) and return clean Markdown plus title/word count. Cheaper than /v1/extract when you do not need structured product/table JSON.

Web scraping API for AI agents: read any live web page as clean markdown, text or HTML. Renders JavaScript in our own headless browser, then strips navigation, ads and boilerplate. Use it when a plain HTTP GET returns empty or garbled HTML: single-page apps, dynamic feeds, or content that only appears after scripts run. Also returns the page's HTTP status. Page text is flagged untrusted so an agen

Fetch a web page and return clean Markdown with Litmus intelligence. Requires payment of $0.005 USDC per page.

Fetch a public web page and return just the main article as clean Markdown, with title, byline and excerpt. Menus, ads and footers are removed. Use when you need to read, summarise or quote a web page cheaply without parsing HTML yourself. Returns JSON {title, byline, siteName, excerpt, markdown}. Errors: 400 bad or private URL, 422 no readable article, 502 site returned an error.

Bounded retrieval of one public page as Markdown or text with byte counters and truncation flags. Raw HTML is never returned.

Web page to markdown (read URL as clean text) for LLM agents: main content only (no nav, cookie banners, ads), with title, description, author, dates, language, headings, internal/external links and JSON-LD types, PLUS a prompt-injection scan of the page (visible text, hidden HTML, comments, invisible Unicode) so your agent knows whether the content tries to give it orders. Fetched from Cloudflare

Read any public web page as clean Markdown: main-content extraction (navigation, footers, scripts and hidden elements removed), headings, lists, tables, code blocks, links (absolute, deduplicated), images, plus title, description, canonical URL, language, author and publish date, and a content hash + fetch time as evidence. JSON and plain-text URLs are returned as-is. No JavaScript rendering. $0.0

Extract a web page to clean Markdown plus metadata (title, description, links, word count)

Read any public web page as clean Markdown for LLMs: main content only (no nav, ads, scripts), absolute links, title/description/lang metadata. Respects robots.txt; only successful reads are charged.

Fetch any public web page and return clean, readable Markdown with navigation, ads, and boilerplate stripped. For agents that need article text or documentation as Markdown.

Get the full text of one web page. Give a URL; returns the page's own main content as clean markdown (up to 8,000 characters) with navigation and ads removed, unchanged and not summarized (use /summarize for a short version). Typical response 2 to 5 seconds. If the page cannot be read you get an error and are not charged.

Fetch any public web page or PDF and return clean Markdown, plus title, description, author, publish date, JSON-LD and outgoing links. Built for LLM agents.

Fetch a public web page and convert it to clean Markdown (title, description, headings, absolute links). LLM-free, deterministic, honours robots.txt. ?url=

Render a web page and return its content as markdown

Render a web page and return its content as markdown

URL-to-Markdown web extraction and context compression for AI agents. Fetch a public web page and return clean, task-relevant, citation-verifiable LLM context with exact excerpts, locators, hashes, and estimated tokens saved. Use before an agent summarizes, answers questions from, or cites a long or noisy URL. Deterministic and model-free. Public HTML only; no PDFs, logins, or JavaScript-only page

Fetch a public web page and return its title, description, clean Markdown (scripts, styles, nav chrome removed) and the list of links. No model call, deterministic.

Fetch a public web page and return clean LLM-ready Markdown (Readability main-content extraction, nav/scripts stripped) plus title, byline, excerpt and OpenGraph metadata. {fullPage:true} keeps the whole body; {maxChars} caps output (default 100k). No JS rendering.

Fetch a public web page and return its title, description, clean Markdown (scripts, styles, nav chrome removed) and the list of links. No model call, deterministic.

Fetch any public web page and return clean, LLM-ready Markdown of the main content (boilerplate, nav and ads removed) plus title, byline, site name, language, publish date and word count. Optional absolute link list.

Read any public web page as clean JSON: title, description, site name, publish date, language, readable text (boilerplate removed), Markdown and the page's links. Give it a URL, get the content back in one call. HTML, plain text, JSON and XML pages supported.

Fetch any public web page and return its main readable content as clean Markdown or plain text plus metadata (title), stripping nav/ads/boilerplate (trafilatura). Optional JS rendering via headless browser for SPAs; markdown or text output. Robots-respecting, public content only — the reader/scraper building block for RAG and agent pipelines.