Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@scrapingdog scrape the content of https://example.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Scrapingdog MCP — wraps Scrapingdog (scrapingdog.com), a proxy-based web
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tool | Description |
| Scrape any website through Scrapingdog's rotating proxies and return its content. Returns HTML by default, or clean markdown with format:"markdown" (ideal for feeding an LLM). Set dynamic:true to render JavaScript in a headless browser for SPAs and dynamic pages (costs 5 credits instead of 1), premium:true for hard-to-scrape sites (residential proxies, 10 credits), and country to geotarget the proxy. Example: scrapingdog_scrape({ url: "https://example.com", format: "markdown", dynamic: true, _apiKey: "your-key" }) |
| Google SERP API — run a Google search via Scrapingdog and get structured results: parsed organic results (title, link, snippet), related searches, and people-also-ask questions. Costs 5 credits per search. Example: scrapingdog_google_search({ query: "best running shoes 2026", country: "us", _apiKey: "your-key" }) |
| Get Amazon product data by ASIN via Scrapingdog — title, price, rating, review count, availability, feature bullets, and images as parsed JSON. Pass an asin (e.g. "B0BFC7WQ6R") or a full Amazon product url. Example: scrapingdog_amazon_product({ asin: "B0BFC7WQ6R", domain: "com", _apiKey: "your-key" }) |
Related MCP server: ScrapingDog MCP Server
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"scrapingdog": {
"url": "https://gateway.pipeworx.io/scrapingdog/mcp"
}
}
}tools/list at https://gateway.pipeworx.io/scrapingdog/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Scrapingdog data" })The gateway picks the right tool and fills the arguments automatically.
MIT
This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/scrapingdog_scrape. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
This server cannot be deployed
Scrape, crawl and search the web for AI agents via MCP.
ScrapingBee MCP — wraps the ScrapingBee headless-scraping API (scrapingbee.com)
ScrapingAnt MCP — wraps the ScrapingAnt web scraping API (scrapingant.com)
Firecrawl MCP — wraps the Firecrawl API (firecrawl.dev) for web