Paid services on Base matching “web content”

Extract clean structured content from a public web page

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

Web content extraction: fetch any public URL and get clean readable text, title, meta description, OpenGraph data, headings, links and word count as JSON. Built for AI agents that need web page content without HTML noise.

Read one public web URL and convert its webpage content to clean Markdown or plain text. Removes HTML boilerplate and returns LLM-ready text for AI agents, RAG context, research and summaries. One URL per paid request.

Clean web content extraction — any URL to markdown + text + metadata

Web content extraction and search. Get clean markdown from any URL or search results.

Page to JSON: scrape and extract any public web page URL into clean structured data JSON. Web scraper / HTML-to-JSON extractor / readability parser for AI agents and LLMs: returns title, author, site name, published date, main article text (plain text), word count, up to 200 links and an optional short summary. Web scraping, content extraction, metadata extraction, article parsing, crawl, RAG inge

Market & brand sentiment for any keyword, brand, ticker or product: analyses the sentiment of web & news content mentioning it and returns an overall label (positive/negative/neutral/mixed), a net sentiment score (-1..1), positive/negative/neutral shares and an emotion breakdown (anger, happiness, love, sadness, fun).

Render a web page and return its content as markdown

Render a web page and return its content as markdown

You.com Search API: real-time web search returning ranked results grouped by section (results.web, results.news), each with url, title and description; web results also carry snippets. Use when an agent needs fresh, citable web data (news, markets, company facts) to ground a decision. Query params: query (required), count 1-100 (default 10), livecrawl (web|news|all; fetches live page contents, cha

Fetch a public web page and return its readable content as JSON: plain text or Markdown (headings, lists, links kept), plus title, description, author, publish date, site name, language and preview image. Ads, menus and scripts are stripped. Failed fetches are not charged.

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.

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

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.

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.

Extracts OG tags, canonical URL, title, and meta description from any web page. Useful for link previews, SEO audits, and content enrichment.

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

Read URL content: extract the readable plain text and title of any public web page, with scripts, styles and navigation removed, plus character count, truncation flags and read time. Use this when an agent needs the text of an article, doc or product page to quote, classify or summarize, without an API key. Static HTML only (no JavaScript, no login), up to 20,000 characters, JSON out. For 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.

Safe Read: fetch one public web page and get its clean main text, title, metadata, a sha256 content hash, and prompt-injection warnings with a 0-100 risk score (visible text, hidden elements, HTML comments, alt/meta attributes, invisible Unicode, base64). SSRF-guarded: DNS-checked and pinned public addresses only, 4 redirects max, 2 MB, 8 s, text/html and text/plain only. Errors are not charged.

Web scraping proxy API - send a URL, get clean markdown or HTML content back. Supports dynamic rendering.

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 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.

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

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.

AI Web Extractor — turn ANY url into clean, LLM-ready markdown. POST {url}; get the main content as markdown (boilerplate/nav/ads stripped) with title, description, and links. The scrape / read / url-to-markdown primitive for RAG and research agents. Fast, cheap, x402-native.

Use before spending tokens, money or crawler capacity fetching an unfamiliar web resource. Resolves redirects (manually, bounded, re-validated per hop) and returns deterministic HTTP/resource facts — final URL, status, content type and length, response time, a bounded HTML title/canonical peek, and a lightweight generic-bot robots.txt indication — so an agent can decide whether a normal web fetch

SWARM Read Page - Retrieve the content of a URL as clean, LLM-ready text (headings with #, lists with -; menus, scripts, styles and markup removed). Use when an agent needs to read a web page, article or docs page without paying model tokens for raw HTML: on 15 public pages we measured, the text was a median 97% smaller than the HTML (about 67,000 fewer tokens per page). Requires `url`; HTML or te