MCP server

Scrapeunblocker Official

com.scrapeunblocker/scrapeunblocker-mcp-remote

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Fetch any page's HTML or AI-parsed JSON, Google results, or 100+ site plugins via ScrapeUnblocker

Website Source

At a glance

Type

MCP server

Publisher

scrapeunblocker.com (verified by the MCP Registry)

Status

Working at last check

Tools

24

Token cost

About 11,988 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http scrapeunblocker-mcp-remote https://mcp.scrapeunblocker.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.scrapeunblocker-mcp-remote]
url = "https://mcp.scrapeunblocker.com/mcp"

Gemini CLI

{"mcpServers":{"scrapeunblocker-mcp-remote":{"httpUrl":"https://mcp.scrapeunblocker.com/mcp"}}}

Cursor

{"mcpServers":{"scrapeunblocker-mcp-remote":{"url":"https://mcp.scrapeunblocker.com/mcp"}}}

VS Code

{"servers":{"scrapeunblocker-mcp-remote":{"type":"http","url":"https://mcp.scrapeunblocker.com/mcp"}}}

Antigravity

agy mcp add scrapeunblocker-mcp-remote https://mcp.scrapeunblocker.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"scrapeunblocker-mcp-remote","server_url":"https://mcp.scrapeunblocker.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scrapeunblocker-mcp-remote","server_url":"https://mcp.scrapeunblocker.com/mcp"}

Tools

• amazon_product ~588 tokens
  Fetches a single Amazon product and returns it as JSON: `title`, `brand`, `price` + `currency`, `listPrice` and `savingsPercent`, `availability` (+ a boolean `inStock`), `rating`, `reviewCount`, `seller`, `features` (bullet points), `categories` (breadcrumb) and `images`. Identify the product with e
• amazon_reviews ~779 tokens
  Returns the review data an Amazon product page shows to a signed-out visitor, as JSON: the overall `rating`, total `reviewCount` (global ratings), the 5..1-star `histogram` (percent per star), the AI `customersSay` summary (overall text plus per-aspect `sentiment`, `mentions`, `positive`, `negative`
• amazon_search ~634 tokens
  Searches any regional Amazon marketplace for `keyword` and returns the result cards as JSON: `asin`, `title`, `price` + `currency`, `listPrice`, `rating`, `reviewCount`, a clean product `url`, `image`, and the `sponsored` / `prime` flags. Filter with `min_price` / `max_price`, order with `sort` (fea
• booking_hotels ~427 tokens
  Searches Booking.com for `location` and returns the properties as JSON: `name`, `price` (with `checkin`/`checkout`), `reviewScore`, `address`, coordinates, `image` and a hotel `url`. Set `adults`, `children`, `rooms` and `currency`, and collect up to `max_results` across pages. Prices only appear wh
• browse_page Browses the web · ~702 tokens
  Load a web page in a real browser through the ScrapeUnblocker API (https://docs.scrapeunblocker.com), run ordered browser actions on it (click, type into a search box, choose an option, press a key, scroll, wait), then return the resulting HTML. Discover selectors with list_elements first. Steps act
• ebay_search ~843 tokens
  Searches any regional eBay marketplace for `keyword` and returns the listings as JSON: `title`, `price` + `currency`, `condition` (with a normalised `conditionCode`), `seller` (username, feedback percentage and score), `shippingCost`, `sold`, `watchers`, `bids`, `image` and a clean item `url`. Filte
• fetch_html ~332 tokens
  Fetch the fully rendered HTML of any web page through the ScrapeUnblocker API (https://docs.scrapeunblocker.com), bypassing anti-bot protection (Cloudflare, DataDome, PerimeterX, Akamai, Shape). Use when a normal fetch is blocked (403/429, captcha) or the page needs a real browser. Returns raw HTML.
• fetch_markdown ~398 tokens
  Fetch a web page in a real browser through the ScrapeUnblocker API (https://docs.scrapeunblocker.com) and return it as clean Markdown: the main content with absolute links, without scripts, styles, navigation or footer. Use it to read, quote or summarise a page; it is usually 2-25% the size of the H
• fetch_parsed ~201 tokens
  Fetch a web page through the ScrapeUnblocker API (https://docs.scrapeunblocker.com) and return AI-parsed structured JSON instead of raw HTML (product details, article content, listings). If the page holds no structured data, the result says so and returns the rendered HTML instead (billed like fetch
• google_images ~782 tokens
  Runs the Google Images vertical (`udm=2`) for `q` and returns the image results as JSON. Every result carries `imageUrl` (the full-resolution origin image, not a Google thumbnail; for an image found inside a document such as a PDF, which has no URL of its own, it is Google's thumbnail and `sourcePag
• google_local ~370 tokens
  Runs a Google Local (`tbm=lcl`) search for `keyword` and returns up to ~20 businesses as JSON: `name`, `rating`, `reviews`, `price`, `category`, `address`, `phone`, `website`, `hours`, and a top `review_snippet`. `phone` and `website` are null when Google does not render them for that result - servi
• google_search ~187 tokens
  Run a Google search through the ScrapeUnblocker API (https://docs.scrapeunblocker.com) and return organic results as JSON.
• google_shopping ~450 tokens
  Runs the Google Shopping vertical (`udm=28`) for `q` and returns the product cards as JSON: `title`, `price`, `currency`, `currencyCode`, `originalPrice`, `discount`, `merchant`, `rating`, `reviewCount` and Google's own ids for the product (`productId`, `catalogId`, `offerId` - stable across searche
• indeed_jobs ~567 tokens
  Searches Indeed for `query` in `location` and returns the job listings as JSON: `title`, `company`, `location`, `salary` (with parsed `min`/`max`), `jobTypes`, `companyRating`, a `snippet`, `datePosted` (YYYY-MM-DD), `sponsored` (Indeed's paid placement) and a clean job `url`. Filter with `country`,
• list_elements ~319 tokens
  Fetch a page through the ScrapeUnblocker API (https://docs.scrapeunblocker.com) and return its interactive elements (buttons, inputs, selects, links, forms), each with a ready-to-use selector, as JSON {url, count, elements:[...]} instead of raw HTML. Use it to discover what to target, then drive the
• list_plugins ~361 tokens
  List ScrapeUnblocker's ready-made site plugins: scrapers for specific sites that return clean structured JSON (Amazon, Walmart, Target, eBay, Zillow, Redfin, Booking.com, Airbnb, Indeed, Glassdoor, Google Trends / Shopping / Maps, YouTube, Spotify, App Store, Google Play, Trustpilot, Yelp, Ahrefs, S
• maps_place_details ~485 tokens
  Returns the full data for one Google Maps place as JSON: `name`, `address` (+ `addressLines`), `phone`, `website`, `rating`, `categories`, `latitude`/`longitude`, `plusCode`, `hours` + `openNow`, `description`, `photo`, `cid`, `featureId`, `googleMapsUrl` and `relatedPlaces`. Identify the place with
• run_plugin ~931 tokens
  Run one ScrapeUnblocker site plugin and return its JSON - e.g. a Target or Walmart search, a Zillow listing search, Google Trends for some keywords, an app's App Store reviews. Find the plugin and its parameters with list_plugins first. `params` uses the parameter names list_plugins shows (snake_cas
• search_and_read ~270 tokens
  Search Google through the ScrapeUnblocker API (https://docs.scrapeunblocker.com) and read the top results in one call: returns Google's AI Overview when there is one, each of the first `results` pages (default 3, max 5) as Markdown, and the other organic results as title, URL and snippet. Use it to
• trustpilot_reviews ~682 tokens
  Returns a company's Trustpilot profile and reviews as JSON. `company` is the reviewed domain (e.g. `www.nike.com`). The response has a `company` summary (`trustScore`, `totalReviews`, `ratingDistribution` 1-5, `categories`, `contact`) and a `reviews` array - each with `rating`, `title`, `text`, `ver
• walmart_search ~378 tokens
  Searches Walmart for `query` and returns the products as JSON: `name`, `price` and `wasPrice`, `rating`, `reviewCount`, `brand`, `seller`, `availability`, `image` and a product `url`. Sort with `sort`, filter with `min_price`/`max_price`, and collect up to `max_results` across pages. Returns JSON. B
• youtube_search ~358 tokens
  Searches YouTube for `query` and returns the results as JSON. For each video: `videoId`, `title`, `url`, `channel` (name/id/url), `publishedText`, `viewCount` (+ text), `lengthSeconds` (+ text), `thumbnails`, `descriptionSnippet`, `badges`, `verified` and `isLive`. Filter with `type` (video / channe
• youtube_transcript ~361 tokens
  Returns a YouTube video's captions as JSON: timestamped `segments` (`start`, `dur`, `text`) and a joined `text`, plus `availableLanguages`, the picked `language`, `isAutoGenerated`, and the video's `title`, `author` and `lengthSeconds`. Pass a video id or any YouTube video URL; choose a caption lang
• zillow_search ~583 tokens
  Searches Zillow for `location` (a city/state or ZIP) and returns the listings as JSON: `price`, `beds`, `baths`, `area`, `address`, `homeType`, `zestimate`, `rentZestimate`, `daysOnZillow`, coordinates, broker and a clean `url`. Filter with `status` (for_sale / for_rent / sold), `min_price`/`max_pri

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