# Multi-Scraper MCP - 12 Scraping Tools for AI Agents (`renzomacar/multi-scraper-mcp`) Actor One MCP server, 12 scraping tools for AI agents: Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok, Indeed, Trustpilot, contact finder, SaaS pricing. Streamable HTTP + SSE. $0.05/tool call. - **URL**: https://apify.com/renzomacar/multi-scraper-mcp.md - **Developed by:** [Renzo Madueno](https://apify.com/renzomacar) (community) - **Categories:** Agents, AI, MCP servers - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 tool calls This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Multi-Scraper MCP — 14 scraping tools for AI agents, one MCP server Give your AI agent real-time web data with a single connection. This [Model Context Protocol](https://modelcontextprotocol.io) server exposes **14 production scraping tools** — Reddit, Amazon, eBay, Google Maps (search + reviews + email-enriched leads), Yelp, YouTube, TikTok, Indeed, Trustpilot, website contact finder, SaaS pricing tracker, and verified healthcare provider leads — to Claude, ChatGPT, Cursor, Cline, Windsurf, or any MCP client. One endpoint. Fourteen tools. Pay only for the calls your agent makes. ### The 14 tools | Tool | What your agent gets | |------|----------------------| | `reddit_scrape` | Subreddit posts, Reddit-wide search, comment threads — sentiment & market research | | `amazon_search` | Products, prices, ratings, ASINs — 10 marketplaces (US/UK/DE/FR/IT/ES/CA/AU/JP/IN) | | `ebay_search` | Live listings + **sold listings** for real market-price history | | `google_maps_search` | Local businesses: name, address, phone, website, rating, GPS | | `google_maps_leads` | **Email-enriched** local B2B leads — Google Maps + website emails/phones in one step | | `google_maps_reviews` | Full review text + ratings for any Google Maps place | | `healthcare_provider_leads` | **Verified US doctors/dentists** from the NPPES/NPI Registry + enriched emails | | `yelp_search` | Yelp businesses via the official Fusion API (bring your free Yelp key) | | `youtube_channel` | Channel stats + recent video metrics | | `tiktok_profile` | Creator profiles, video stats, hashtag discovery | | `indeed_jobs` | Job listings with salary data — 7 countries, date/type filters | | `trustpilot_reviews` | Company reviews — mine complaints with `filterByRating: 1` | | `website_contacts` | Emails, phones, social links, tech stack from any domain | | `saas_pricing` | Structured pricing tiers from any SaaS pricing page + change detection | ### Quick start You need an [Apify account](https://console.apify.com/sign-up) (free tier works) and your API token from [Console → Settings → API & Integrations](https://console.apify.com/settings/integrations). The MCP endpoint (Streamable HTTP): ```` https://renzomacar--multi-scraper-mcp.apify.actor/mcp ```` Authenticate with `Authorization: Bearer ` (or append `?token=`). #### Claude Code ```bash claude mcp add --transport http multi-scraper \ "https://renzomacar--multi-scraper-mcp.apify.actor/mcp" \ --header "Authorization: Bearer YOUR_APIFY_TOKEN" ```` #### Claude Desktop Settings → Developer → Edit Config, then add: ```json { "mcpServers": { "multi-scraper": { "command": "npx", "args": [ "mcp-remote", "https://renzomacar--multi-scraper-mcp.apify.actor/mcp", "--header", "Authorization: Bearer YOUR_APIFY_TOKEN" ] } } } ``` #### Cursor / Windsurf / Cline Add to your MCP config (e.g. `.cursor/mcp.json`): ```json { "mcpServers": { "multi-scraper": { "url": "https://renzomacar--multi-scraper-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ``` #### ChatGPT (Developer Mode connectors) Settings → Connectors → Advanced → Developer mode → Add custom connector, with URL: ``` https://renzomacar--multi-scraper-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN ``` #### Legacy SSE clients An SSE transport is also available at `/sse` (+ `/messages`) for older clients. ### Pricing — transparent pay-per-event | Event | Price | |-------|-------| | Tool call (successful) | **$0.05** | | Actor start (standby wake-up) | $0.00005 per GB | - No subscription, no minimums — you pay only when your agent actually calls a tool. - Underlying scraper runs execute under your Apify account at their own listed rates (typically fractions of a cent per result). - Failed tool calls are **not** charged. ### Notes per tool - **`yelp_search`** needs a Yelp Fusion API key — free, 5,000 calls/day, 2 minutes to get at [docs.developer.yelp.com](https://docs.developer.yelp.com/). Pass it as the `yelpApiKey` tool argument. - **`reddit_scrape`** survived Reddit shutting down its public `.json` endpoints (June 2026, universal 403): it now falls back to Reddit RSS feeds with a circuit breaker, so it keeps returning posts. In RSS mode items don't include score/comment counts (`source: rss-fallback`). - Keep `maxResults*` small (10–30) for snappy agent loops; raise them for batch research. ### Example agent workflows - **One-step lead lists**: `google_maps_leads` ("dentists in Miami, FL", `onlyWithWebsite: true`) → email-enriched leads straight into your CRM (no separate enrichment pass). - **Healthcare prospecting**: `healthcare_provider_leads` ("dermatologist", "Los Angeles", "CA") → government-verified NPI providers + emails for compliant medical outreach. - **Local lead-gen pipeline (manual)**: `google_maps_search` ("dentists in Miami") → `website_contacts` (emails + tech stack) → your CRM. - **Product intelligence**: `amazon_search` + `ebay_search` (soldOnly) → real street price vs. listed price. - **Brand/sentiment monitor**: `reddit_scrape` + `trustpilot_reviews` (filterByRating: 1) + `google_maps_reviews` → weekly complaint digest. - **Competitor watch**: `saas_pricing` on competitor pricing pages with `compareWithPrevious: true` → alert on changes. - **Hiring-signal prospecting**: `indeed_jobs` ("Shopify developer") → companies investing in e-commerce → `website_contacts`. ### Why this server - Every tool wraps a battle-tested public Apify Actor (4,000+ combined runs). - Structured JSON with consistent schemas — built for LLM consumption, results truncated to stay token-friendly. - Both modern Streamable HTTP (`/mcp`) and legacy SSE (`/sse`) transports. - Open source: [github.com/Perufitlife/multi-scraper-mcp](https://github.com/Perufitlife/multi-scraper-mcp). ### FAQ **How do I connect an AI agent to web scraping tools?** Add this MCP server's endpoint (`https://renzomacar--multi-scraper-mcp.apify.actor/mcp`) to your MCP client with an `Authorization: Bearer ` header, and your agent instantly gains 14 scraping tools — Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok, Indeed, Trustpilot, website contacts, SaaS pricing, and verified healthcare leads. See the Claude Code, Claude Desktop, Cursor, Windsurf, Cline, and ChatGPT setup snippets above. **Which AI clients and agents work with this MCP server?** Any Model Context Protocol client: Claude Code, Claude Desktop, Cursor, Cline, Windsurf, and ChatGPT (Developer Mode connectors) are all documented above. It speaks both modern Streamable HTTP (`/mcp`) and legacy SSE (`/sse`), so older MCP clients work too. **Do I need an API key?** You need a free Apify account and your Apify token to authenticate the MCP endpoint — that is the only required credential. One tool, `yelp_search`, additionally needs a free Yelp Fusion API key (5,000 calls/day) passed as the `yelpApiKey` argument; every other tool works with just your Apify token. **Why use this MCP server instead of calling each Apify scraper directly?** Calling actors directly means juggling 14 separate endpoints, input schemas, and result shapes inside your agent. This server exposes all of them as clean, LLM-friendly tools behind one connection with consistent JSON and token-truncated results — honestly, if you only ever need one scraper, call that actor directly; if your agent needs several web-data sources, one MCP endpoint is far simpler. **Are there alternatives to this multi-scraper MCP?** For pure web research without these specific scrapers, see [Deep Research MCP](https://apify.com/renzomacar/deep-research-mcp). For a single data source, the standalone actors ([Trustpilot](https://apify.com/renzomacar/trustpilot-reviews), [SaaS Pricing Tracker](https://apify.com/renzomacar/saas-pricing-tracker), [Google Maps Reviews](https://apify.com/renzomacar/google-maps-reviews), etc.) each run on their own. This server's edge is bundling 14 tools behind one MCP connection. **How am I charged for tool calls?** Pay-per-event: $0.05 per successful tool call, and failed calls are not charged. The underlying scraper runs execute under your own Apify account at their normal per-result rates (usually fractions of a cent), and there is no subscription or minimum. ### Connect it to your agents This server is built to be wired into automated agent workflows. Beyond chat clients, you can drive it from any MCP-capable orchestration or connect the underlying actors to Apify integrations — Make, n8n, Zapier, Slack, or a webhook — so scraping steps run as part of a scheduled pipeline. Recurring agent loops (a weekly complaint digest, a daily lead-gen run, a competitor pricing watch) are exactly what the 14-tool surface is designed for; see **Example agent workflows** above for ready-made chains. ### Related actors - [Deep Research MCP](https://apify.com/renzomacar/deep-research-mcp) — A companion MCP server for keyless multi-source web research, when you need synthesis over raw scraping. - [Trustpilot Reviews Scraper](https://apify.com/renzomacar/trustpilot-reviews) — The standalone actor behind the `trustpilot_reviews` tool, for batch review extraction. - [SaaS Pricing Tracker](https://apify.com/renzomacar/saas-pricing-tracker) — The standalone actor behind the `saas_pricing` tool, for scheduled competitor pricing monitoring. - [Google Maps Reviews Scraper](https://apify.com/renzomacar/google-maps-reviews) — The standalone actor behind the `google_maps_reviews` tool, for local-business reputation data. - [Website Contact Finder](https://apify.com/renzomacar/website-contact-finder) — The standalone actor behind the `website_contacts` tool, for email/phone/tech-stack enrichment. ### Found this useful? Please leave a quick review on the **Reviews** tab — it genuinely helps independent developers get visibility on the Apify Store. Thanks! # Actor input Schema ## `yelpApiKey` (type: `string`): Required only for the yelp\_search tool. Get a free key at https://docs.developer.yelp.com/ ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("renzomacar/multi-scraper-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("renzomacar/multi-scraper-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call renzomacar/multi-scraper-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=renzomacar/multi-scraper-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-Scraper MCP - 12 Scraping Tools for AI Agents", "description": "One MCP server, 12 scraping tools for AI agents: Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok, Indeed, Trustpilot, contact finder, SaaS pricing. Streamable HTTP + SSE. $0.05/tool call.", "version": "0.1", "x-build-id": "Fpehka23cnrNbAHS5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/renzomacar~multi-scraper-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-renzomacar-multi-scraper-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/renzomacar~multi-scraper-mcp/runs": { "post": { "operationId": "runs-sync-renzomacar-multi-scraper-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/renzomacar~multi-scraper-mcp/run-sync": { "post": { "operationId": "run-sync-renzomacar-multi-scraper-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "yelpApiKey": { "title": "Yelp Fusion API Key (optional)", "type": "string", "description": "Required only for the yelp_search tool. Get a free key at https://docs.developer.yelp.com/" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```