Arcadium Data Scrapers MCP Server
A remote MCP server that gives Claude, Cursor, LangChain and other AI agents live web data: reviews (Tripadvisor, Booking.com, Google Hotels, Agoda, Trip.com, Yelp, Trustpilot, Capterra, TrustRadius, Google Play, App Store) and review monitoring, hotel prices (Google Hotels, Booking.com), Amazon search and Best Sellers, Etsy, 1688.com factory prices, TikTok Shop, Zillow homes, Google Trends, Google News, YouTube transcripts and video lists, company hiring signals, job search, software products (Capterra) and used cars in 8 EU countries (AutoScout24).
Free actor; you pay Apify platform usage
Why this actor
- Endpoint:
https://arcadium--scrapers-mcp.apify.actor/mcp(Streamable HTTP, on Apify) - Auth: your Apify API token on every request,
Authorization: Bearer <APIFY_TOKEN>(get a token) - Server card:
/.well-known/mcp/server-card.json(also at/mcp/server-card) - Every call returns at most 50 rows and has a spend cap of $0.10-0.50; all rows stay in the run's dataset on your account (
datasetUrlin every answer)
What you get
Price
Live Apify price on 2026-11-03, per 1,000 rows, by Apify plan. You pay only for rows delivered; error and summary rows marked free in the README cost nothing.
| Per 1,000 | Free | Bronze | Silver | Gold | Platinum | Diamond |
|---|
Run it from code or an AI agent
Actor ID arcadium/scrapers-mcp. Set APIFY_TOKEN to your Apify API token. The input below is the actor’s prefilled example; see the guide for every field.
curl
curl -X POST "https://api.apify.com/v2/acts/arcadium~scrapers-mcp/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"waitSecs":150}'JavaScript
// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/scrapers-mcp').call({
"waitSecs": 150
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);Python
# pip install apify-client
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/scrapers-mcp").call(run_input={
"waitSecs": 150,
})
items = client.dataset(run.default_dataset_id).list_items().items # apify-client 3.x returns a Run object
print(items)MCP
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com/?tools=arcadium/scrapers-mcp",
"headers": {
"Authorization": "Bearer <APIFY_TOKEN>"
}
}
}
}LangChain
# pip install langchain-apify (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("arcadium/scrapers-mcp")
rows = tool.invoke({"run_input": {
"waitSecs": 150,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])LlamaIndex
# pip install llama-index-readers-apify
import os
from llama_index.core import Document, VectorStoreIndex
from llama_index.readers.apify import ApifyActor
reader = ApifyActor(os.environ["APIFY_TOKEN"])
documents = reader.load_data(
actor_id="arcadium/scrapers-mcp",
run_input={
"waitSecs": 150,
},
dataset_mapping_function=lambda item: Document(text=str(item.get("title") or ""), metadata={"url": item.get("url")}),
)
index = VectorStoreIndex.from_documents(documents)CrewAI
# pip install crewai crewai-tools langchain-apify (reads APIFY_API_TOKEN from the environment)
from crewai import Agent
from crewai_tools import ApifyActorsTool
tool = ApifyActorsTool(actor_name="arcadium/scrapers-mcp")
researcher = Agent(
role="Research analyst",
goal="Answer with data collected by the tool",
backstory="Uses public web data.",
tools=[tool],
)n8n
{
"nodes": [
{
"name": "Run arcadium/scrapers-mcp",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
0,
0
],
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/arcadium~scrapers-mcp/run-sync-get-dataset-items",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"specifyBody": "json",
"jsonBody": "{\"waitSecs\":150}",
"options": {
"timeout": 300000
}
}
}
],
"connections": {}
}Google Sheets
// Extensions > Apps Script. Store your token once: Project Settings > Script properties > APIFY_TOKEN.
function importLastRun() {
const token = PropertiesService.getScriptProperties().getProperty('APIFY_TOKEN');
const url = 'https://api.apify.com/v2/acts/arcadium~scrapers-mcp/runs/last/dataset/items?status=SUCCEEDED&clean=true&format=json';
const res = UrlFetchApp.fetch(url, { headers: { Authorization: 'Bearer ' + token } });
const rows = JSON.parse(res.getContentText());
if (!rows.length) return;
const keys = Object.keys(rows[0]);
const values = rows.map((r) => keys.map((k) => (typeof r[k] === 'object' ? JSON.stringify(r[k]) : r[k])));
const sheet = SpreadsheetApp.getActiveSheet();
sheet.clearContents();
sheet.getRange(1, 1, 1, keys.length).setValues([keys]);
sheet.getRange(2, 1, values.length, keys.length).setValues(values);
}