All projects 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

Web page to Markdown, $0.001 USDC per call: Fetch a public web page and return LLM-ready Markdown: title, meta description, canonical, language, main content (scripts/nav/footer stripped, headings/lists/links kept), first 50 absolute links, word count. Honours robots.txt (disallowed → 403, not charged). No JS rendering; non-HTML → 415. max_chars 500-50000 (default 20000). No params = runs the exam

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.

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.

Render a web page and return its content as markdown

Render a web page and return its content as markdown

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

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 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 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.

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.

Geo web fetch for AI agents. Fetch any public web page from a residential IP in a chosen country (190+ countries, optional city or US state) as clean markdown, text or HTML, with the product price/currency/availability extracted automatically when the page has product data. $0.005 per page, only charged when the page loads. Respects robots.txt; no CAPTCHA solving; sign-in, payment and email servic

Web page scrape: one URL fetched and rendered by Firecrawl (headless browser), returned as markdown, html, rawHtml and/or links. Not charged when the page cannot be fetched.

Fetches a public web page URL and returns its main article content as clean Markdown with title, byline and excerpt; strips navigation, ads and scripts. Useful for RAG ingestion and LLM context.