npx -y @smithery/cli install outscraper-mcp --client claude

# Using pip
pip install outscraper-mcp

# Using uv (recommended)
uv add outscraper-mcp

# Using uvx for one-time execution
uvx outscraper-mcp

git clone https://github.com/jayozer/outscraper-mcp
cd outscraper-mcp

# Using uv (recommended)
uv sync

# Using pip
pip install -e .

export OUTSCRAPER_API_KEY="your_api_key_here"

OUTSCRAPER_API_KEY=your_api_key_here

{
  "mcpServers": {
    "outscraper": {
      "command": "npx",
      "args": ["-y", "@smithery/cli", "run", "outscraper-mcp"],
      "env": {
        "OUTSCRAPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "outscraper": {
      "command": "uvx",
      "args": ["outscraper-mcp"],
      "env": {
        "OUTSCRAPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "outscraper": {
      "command": "uv",
      "args": ["run", "python", "-m", "outscraper_mcp"],
      "env": {
        "OUTSCRAPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "outscraper": {
      "command": "uvx",
      "args": ["outscraper-mcp"],
      "env": {
        "OUTSCRAPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "outscraper": {
      "command": "outscraper-mcp",
      "env": {
        "OUTSCRAPER_API_KEY": "your_api_key_here"
      }
    }
  }
}

# Parameters:
query: str              # Search query (e.g., 'restaurants brooklyn usa')
limit: int = 20         # Number of results (max: 400)
language: str = "en"    # Language code
region: str = None      # Country/region code (e.g., 'US', 'GB')
drop_duplicates: bool = False  # Remove duplicate results
enrichment: List[str] = None   # Additional services ['domains_service', 'emails_validator_service']

# Parameters:
query: str              # Place query, place ID, or business name
reviews_limit: int = 10 # Number of reviews per place (0 for unlimited)
limit: int = 1          # Number of places to process
sort: str = "most_relevant"  # Sort order: 'most_relevant', 'newest', 'highest_rating', 'lowest_rating'
language: str = "en"    # Language code
region: str = None      # Country/region code
cutoff: int = None      # Unix timestamp for reviews after specific date

# FastMCP Inspector - Web-based testing dashboard
fastmcp dev outscraper_mcp/server.py

# Then open your browser to: http://127.0.0.1:6274
# Interactive testing of Google Maps tools with real-time responses

# Via PyPI installation
outscraper-mcp

# Via uv
uv run python -m outscraper_mcp

# Via manual installation
python -m outscraper_mcp

from outscraper_mcp import mcp

if __name__ == "__main__":
    mcp.run(transport="streamable-http", host="127.0.0.1", port=8000)

# 1. Search for restaurants
results = google_maps_search(
    query="italian restaurants manhattan nyc",
    limit=5,
    language="en",
    region="US"
)

# 2. Get reviews for a specific place
reviews = google_maps_reviews(
    query="ChIJrc9T9fpYwokRdvjYRHT8nI4",  # Place ID from search results
    reviews_limit=20,
    sort="newest"
)

# Find businesses with enhanced contact information
businesses = google_maps_search(
    query="digital marketing agencies chicago",
    limit=20,
    enrichment=["domains_service", "emails_validator_service"]
)

# Get detailed reviews for sentiment analysis
for business in businesses:
    if business.get('place_id'):
        reviews = google_maps_reviews(
            query=business['place_id'],
            reviews_limit=10,
            sort="newest"
        )

# Research competitors in specific area
competitors = google_maps_search(
    query="coffee shops downtown portland",
    limit=50,
    region="US"
)

# Analyze recent customer feedback
recent_reviews = google_maps_reviews(
    query="coffee shops downtown portland",
    reviews_limit=100,
    sort="newest"
)

import logging
logging.basicConfig(level=logging.DEBUG)