serpshot 0.1.1

Official Python SDK for SerpShot API - Google Search Results

SerpShot Python SDK

Official Python client for the SerpShot API - Get Google Search Results programmatically.

中文文档 | English

Features

• ✅ Synchronous & Asynchronous - Support for both sync and async operations
• ✅ Type Safe - Full type hints with Pydantic models
• ✅ Automatic Retries - Built-in exponential backoff for failed requests
• ✅ Error Handling - Comprehensive exception hierarchy
• ✅ Easy to Use - Simple, intuitive API
• ✅ Google Search - Regular search and image search
• ✅ Customizable - Flexible configuration options

API Endpoints

The SDK uses the following SerpShot API endpoints:

• Main Search: /api/search/google - For regular and image searches
• Free Tier: /api/search/google/free - For free tier searches (limited)

Installation

Using pip

pip install serpshot

Using uv

uv add serpshot

Quick Start

Synchronous Usage

from serpshot import SerpShot

# Initialize client
client = SerpShot(api_key="your-api-key")

# Perform a search
response = client.search("Python programming")

# Process results
for result in response.results:
    print(f"{result.title}: {result.link}")

# Clean up
client.close()

With Context Manager (Recommended)

from serpshot import SerpShot

with SerpShot(api_key="your-api-key") as client:
    response = client.search("Python programming")
    print(f"Found {len(response.results)} results")

Asynchronous Usage

import asyncio
from serpshot import AsyncSerpShot

async def main():
    async with AsyncSerpShot(api_key="your-api-key") as client:
        response = await client.search("Python programming")
        print(f"Found {len(response.results)} results")

asyncio.run(main())

API Reference

SerpShot Client

Initialize

from serpshot import SerpShot

client = SerpShot(
    api_key="your-api-key",      # Required: Your SerpShot API key
    base_url=None,                # Optional: Custom API endpoint
    timeout=30.0,                 # Optional: Request timeout in seconds
    max_retries=3,                # Optional: Maximum retry attempts
)

search()

Perform a Google search. Supports both single query and batch queries (up to 100 queries per request).

from serpshot import SerpShot, LocationType

# Single search
response = client.search(
    query="search query",         # Required: Search query string or list of queries (max 100)
    num=10,                       # Optional: Number of results per page (1-100)
    page=1,                       # Optional: Page number for pagination (starts from 1)
    gl="us",                      # Optional: Country code (e.g., 'us', 'uk', 'cn')
    hl="en",                      # Optional: Language code (e.g., 'en', 'zh-CN')
    lr="en",                      # Optional: Content language restriction (e.g., 'en', 'zh-CN')
    location=LocationType.US,    # Optional: Location type for local search
)

# Batch search (recommended for multiple queries)
responses = client.search(
    query=["Python", "JavaScript", "Rust"],  # List of queries (1-100)
    num=10,
)
# Returns list[SearchResponse] when query is a list

image_search()

Perform a Google image search. Supports both single query and batch queries (up to 100 queries per request).

# Single image search
response = client.image_search(
    query="cute puppies",         # Required: Image search query string or list (max 100)
    num=10,                       # Optional: Number of results per page (1-100)
    page=1,                       # Optional: Page number for pagination (starts from 1)
    gl="us",                      # Optional: Country code
    hl="en",                      # Optional: Language code
    lr="en",                      # Optional: Content language restriction
)

# Batch image search
responses = client.image_search(
    query=["cats", "dogs", "birds"],  # List of queries (1-100)
    num=10,
)

Response Model

The SearchResponse object contains:

class SearchResponse:
    success: bool                 # Request success status
    query: str                    # Original search query
    total_results: str            # Estimate of total results (e.g., "About 12,300,000 results")
    search_time: str              # Search execution time in seconds (as string)
    results: list[SearchResult] | list[ImageResult]  # List of search results
    credits_used: int             # Credits consumed

Note: When using batch search (passing a list of queries), search() returns list[SearchResponse] instead of a single SearchResponse.

Search Result Model

Each result in response.results contains:

class SearchResult:
    title: str                    # Result title
    link: str                     # Result URL
    snippet: str                  # Description snippet
    position: int                 # Position in results (1-based)

Image Result Model

For image searches, results contain:

class ImageResult:
    title: str                    # Image title
    link: str                     # Image source URL
    thumbnail: str                # Thumbnail URL
    source: str                   # Source website
    source_link: str              # Source page URL
    width: int                    # Image width in pixels
    height: int                   # Image height in pixels
    position: int                 # Result position

Advanced Examples

Batch Search (Recommended)

The most efficient way to search multiple queries is using batch search, which makes a single API call:

from serpshot import SerpShot

with SerpShot(api_key="your-api-key") as client:
    # Batch search - single API call for multiple queries
    queries = ["Python", "JavaScript", "Rust", "Go"]
    responses = client.search(queries, num=10)  # Returns list[SearchResponse]
    
    for query, response in zip(queries, responses):
        print(f"{query}: {len(response.results)} results")
        if response.results:
            print(f"  Top result: {response.results[0].title}\n")

Note: Batch search supports up to 100 queries per request and is more efficient than making separate API calls.

Pagination

from serpshot import SerpShot

with SerpShot(api_key="your-api-key") as client:
    # Get first page (results 1-10)
    page1 = client.search("Python", num=10, page=1)
    
    # Get second page (results 11-20)
    page2 = client.search("Python", num=10, page=2)
    
    # Get third page (results 21-30)
    page3 = client.search("Python", num=10, page=3)

Asynchronous Usage

For async applications, you can use AsyncSerpShot:

import asyncio
from serpshot import AsyncSerpShot

async def main():
    async with AsyncSerpShot(api_key="your-api-key") as client:
        # Single async search
        response = await client.search("Python programming")
        print(f"Found {len(response.results)} results")
        
        # Batch async search
        queries = ["Python", "JavaScript"]
        responses = await client.search(queries, num=10)
        for response in responses:
            print(f"Found {len(response.results)} results")

asyncio.run(main())

Error Handling

from serpshot import (
    SerpShot,
    AuthenticationError,
    RateLimitError,
    InsufficientCreditsError,
    APIError,
    NetworkError,
)

try:
    with SerpShot(api_key="your-api-key") as client:
        response = client.search("test query")
        
except AuthenticationError as e:
    print(f"Invalid API key: {e}")
    
except RateLimitError as e:
    print(f"Rate limit exceeded. Retry after {e.retry_after}s")
    
except InsufficientCreditsError as e:
    print(f"Insufficient credits. Need: {e.credits_required}")
    
except APIError as e:
    print(f"API error ({e.status_code}): {e.message}")
    
except NetworkError as e:
    print(f"Network error: {e}")

Custom Configuration

client = SerpShot(
    api_key="your-api-key",
    timeout=60.0,        # Longer timeout for slow connections
    max_retries=5,       # More retries for reliability
)

Environment Variables

You can set your API key via environment variable:

export SERPSHOT_API_KEY="your-api-key"

Then use in code:

import os
from serpshot import SerpShot

api_key = os.getenv("SERPSHOT_API_KEY")
client = SerpShot(api_key=api_key)

Rate Limits

Please refer to your SerpShot account dashboard for rate limit information. The SDK automatically handles rate limiting with exponential backoff.

Credit Costs

Different search operations consume different amounts of credits:

• Regular Search: 1 credit per request (base)
• Image Search: ~2 credits per request
• Higher result counts: Additional credits for num > 10
• Premium regions: Slightly higher costs for some countries

Use response.credits_used to track consumption.

Development

Setup

# Clone the repository
git clone https://github.com/serpshot/serpshot-python.git
cd serpshot-python

# Install with dev dependencies using uv
uv sync --dev

# Or using pip
pip install -e ".[dev]"

Run Tests

pytest

Type Checking

mypy serpshot

Linting

ruff check serpshot

Examples

Check out the examples directory for more usage examples:

• sync_example.py - Synchronous usage examples
• async_example.py - Asynchronous usage examples

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• 📧 Email: [e-mail]
• 📖 Documentation: https://www.serpshot.com/docs
• 🐛 Issues: https://github.com/serpshot/serpshot-python/issues

Links

• SerpShot Website
• API Documentation
• Get API Key