# Multi-Scraper MCP - 12 Tools for AI Agents (`renzomacar/multi-scraper-mcp`) Actor

MCP server exposing 12 web scrapers as tools for ChatGPT, Claude, Cursor, Cline. Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok, Indeed, Trustpilot, contact finder, SaaS pricing.

- **URL**: https://apify.com/renzomacar/multi-scraper-mcp.md
- **Developed by:** [Renzo Madueno](https://apify.com/renzomacar) (community)
- **Categories:** Agents, AI, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Server — 12 Tools for AI Agents

Connect ChatGPT, Claude Desktop, Cursor, Cline, Continue, Windsurf, or any [Model Context Protocol](https://modelcontextprotocol.io) client to a curated set of 12 production web scraping tools — Reddit, Amazon, eBay, Google Maps (search & reviews), Yelp, YouTube, TikTok, Indeed, Trustpilot, website contact finder, SaaS pricing tracker.

This is a **Standby MCP server**: deploy it once on Apify, get a stable HTTP endpoint, and any MCP client can connect.

### Available tools

| Tool | What it does |
|------|--------------|
| `reddit_scrape` | Subreddit posts + comments, search queries, sentiment data |
| `amazon_search` | Product listings, prices, ratings — 10 marketplaces |
| `ebay_search` | eBay listings, sold listings (historical pricing) |
| `google_maps_search` | Local business search by category + location |
| `google_maps_reviews` | Extract reviews from any Google Maps business |
| `yelp_search` | Yelp businesses via official Fusion API (requires user's Yelp key) |
| `youtube_channel` | Channel stats + recent videos |
| `tiktok_profile` | Creator profiles + video stats + hashtag discovery |
| `indeed_jobs` | Job listings — 7 countries supported |
| `trustpilot_reviews` | Customer reviews for any company |
| `website_contacts` | Emails, phones, socials, tech stack from any domain |
| `saas_pricing` | Pricing pages tracking with change detection |

### Why use this MCP server

- **Production-ready**: every tool wraps a battle-tested public Apify Actor (1,800+ runs, 350+ users)
- **Single endpoint**: connect once, get 12 tools — no need to install 12 separate scrapers
- **Pay-per-call**: $0.05 per tool call. No subscriptions, no minimums.
- **High-quality output**: structured JSON, consistent schemas across tools
- **Multi-marketplace**: Amazon/eBay/Indeed/Yelp support multiple regional sites

### How to connect

#### Claude Desktop

Add this to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "multi-scraper": {
      "command": "npx",
      "args": ["@modelcontextprotocol/inspector-cli"],
      "env": {
        "MCP_SERVER_URL": "https://YOUR-ACTOR-STANDBY-URL.apify.actor/mcp"
      }
    }
  }
}
````

#### Cursor / Cline / Continue

In your MCP config, add server URL: `https://YOUR-ACTOR-STANDBY-URL.apify.actor/mcp`

#### Run the actor in Standby mode

1. Start this actor on Apify with `Standby: true` (or click "Start in standby" in the console)
2. Copy the standby URL Apify gives you
3. Use that URL as the MCP endpoint in your client

#### For yelp\_search: get your free Yelp API key

The `yelp_search` tool needs a Yelp Fusion API key (free 5,000 calls/day). Get one at [docs.developer.yelp.com](https://docs.developer.yelp.com/) and paste it into the actor input.

### Pricing

- **$0.05 per tool call** (pay-per-event)
- Cost includes the underlying scraper run — no double charging
- Apify takes 20%, developer gets 80%

### Use cases

- **AI agent that researches markets**: combine `google_maps_search` + `yelp_search` + `trustpilot_reviews` to score local businesses.
- **AI shopping assistant**: `amazon_search` + `ebay_search` + `tiktok_profile` for cross-platform product intelligence.
- **AI lead generation pipeline**: `google_maps_search` → `website_contacts` → `indeed_jobs` to qualify and enrich prospects.
- **AI sentiment monitor**: `reddit_scrape` + `trustpilot_reviews` + `youtube_channel` for brand monitoring.

### Found this useful?

Please leave a quick review on the **Reviews** tab above. It helps small developers like me 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Multi-Scraper MCP - 12 Tools for AI Agents",
        "description": "MCP server exposing 12 web scrapers as tools for ChatGPT, Claude, Cursor, Cline. Reddit, Amazon, eBay, Google Maps, Yelp, YouTube, TikTok, Indeed, Trustpilot, contact finder, SaaS pricing.",
        "version": "0.1",
        "x-build-id": "GTgP4gJX4CxKs2ucu"
    },
    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
