serp-scraper 2.0.1

SERP scraper with undetected-chromedriver, proxy rotation, and stealth browsing

⚠️ WARNING: This project is in early development stages.

SERP Scraper

A powerful, async Python library for scraping Google and Bing Search Engine Results Pages (SERPs) with proxy rotation, intelligent caching, and stealth browsing.

Features

• Dual Search Methods: Browser-based (nodriver) and HTTP-based (httpx) scraping
• Google News RSS: Scrape news articles via Google News RSS feeds
• Proxy Rotation: DataImpulse and custom proxy support with automatic rotation
• Intelligent Caching: Disk-based caching with configurable TTL
• CAPTCHA Handling: Automatic detection with retry logic and exponential backoff
• Type Safety: Full type annotations with Pydantic validation
• Async/Await: Modern asynchronous API design
• Environment Config: .env file support for configuration
• CLI Tool: Interactive command-line interface for testing

Installation

Basic Installation

pip install serp-scraper

From Source

git clone https://github.com/neuronaline/serp-scraper.git
cd serp-scraper
pip install -e .

With Dependencies

pip install serp-scraper[dev]  # With dev tools
pip install serp-scraper[test] # With test dependencies

Requirements

• Python 3.10 or higher
• Google Chrome browser installed

Quick Start

Recommended: Using SerpClient

import asyncio
from serp import SerpClient

async def main():
    async with SerpClient() as client:
        results = await client.search("python programming")

        for r in results:
            print(f"{r.rank}. {r.title}")
            print(f"   {r.url}")
            print(f"   {r.description[:100]}...")

asyncio.run(main())

Quick Functions

For simple use cases without creating a client:

import asyncio
from serp import quick_search, quick_fetch

async def main():
    # Search
    results = await quick_search("web scraping")
    print(f"Found {len(results)} results")

    # Fetch URL
    content = await quick_fetch("https://example.com")
    print(content[:500])

asyncio.run(main())

Google News RSS

Scrape news articles using Google News RSS feeds:

import asyncio
from serp import GoogleNewsClient

async def main():
    async with GoogleNewsClient(language="en", country="US") as client:
        news = await client.get_news("Tesla", max_results=20)

        for r in news:
            print(f"{r.title}")
            print(f"  Source: {r.source}")
            print(f"  URL: {r.url}")
            print(f"  Date: {r.published}")

asyncio.run(main())

Or use the quick function:

import asyncio
from serp import quick_news

async def main():
    news = await quick_news("Tesla", language="en", country="US", max_results=20)
    print(f"Found {len(news)} news articles")

asyncio.run(main())

URL Fetching

import asyncio
from serp import SerpClient

async def main():
    async with SerpClient() as client:
        # Fetch page content as Markdown
        content = await client.fetch("https://example.com")
        print(content)

asyncio.run(main())

Using with Configuration

import asyncio
from serp import SerpClient, SerpConfig

# Create configured client
config = SerpConfig(
    log_level="DEBUG",
    max_retries=5,
    cache_ttl=3600,  # 1 hour
    cache_enabled=True,
)

async with SerpClient(config) as client:
    results = await client.search("python tutorial")

Environment Variables (.env file)

Create a .env file in your project. Copy from .env.example for all options:

# DataImpulse Proxy (recommended)
SERP_DATAIMPULSE_GATEWAY=http://gw.dataimpulse.com:10001
SERP_DATAIMPULSE_USER=your_username
SERP_DATAIMPULSE_PASS=your_password

# Custom Proxies (comma-separated)
SERP_CUSTOM_PROXIES=http://user:[e-mail]:8080,socks5://proxy2.com:1080

# Proxy Strategy: "random" or "dataimpulse_first"
SERP_PROXY_STRATEGY=dataimpulse_first

# Logging
SERP_LOG_LEVEL=WARNING
SERP_DEBUG=false

# Cache
SERP_CACHE_ENABLED=true
SERP_CACHE_DIR=.cache/serp
SERP_CACHE_TTL=86400

# Search
SERP_DEFAULT_SOURCE=auto  # "google", "bing", or "auto"
SERP_HEADLESS=false
SERP_TIMEOUT=30

# Retry
SERP_MAX_RETRIES=3
SERP_RETRY_DELAY_MIN=0.5
SERP_RETRY_DELAY_MAX=2.0
SERP_EXPONENTIAL_BACKOFF=false

# Custom User Agent (optional)
SERP_USER_AGENT=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36

Configuration

SerpConfig Options

Parameter	Type	Default	Description
custom_proxies	str	""	Comma-separated proxy URLs from env
proxy_strategy	str	"dataimpulse_first"	Proxy selection: "random" or "dataimpulse_first"
dataimpulse_gateway	str	None	DataImpulse gateway URL
dataimpulse_user	str	None	DataImpulse username
dataimpulse_pass	str	None	DataImpulse password
log_level	str	"WARNING"	Logging level (DEBUG, INFO, WARNING, ERROR)
max_retries	int	3	Maximum retry attempts (1-10)
retry_delay_min	float	0.5	Minimum retry delay in seconds
retry_delay_max	float	2.0	Maximum retry delay in seconds
exponential_backoff	bool	false	Use exponential backoff
timeout	int	30	Request timeout in seconds (5-120)
cache_enabled	bool	true	Enable/disable caching
cache_dir	str	".cache/serp"	Cache directory path
cache_ttl	int	86400	Cache TTL in seconds (min 60)
default_source	str	"auto"	Default search source: "google", "bing", or "auto"
headless	bool	false	Run browser in headless mode
user_agent	str	None	Custom user agent string

Environment Variables

Variable	Description	Default
SERP_DATAIMPULSE_GATEWAY	DataImpulse gateway URL	-
SERP_DATAIMPULSE_USER	DataImpulse username	-
SERP_DATAIMPULSE_PASS	DataImpulse password	-
SERP_CUSTOM_PROXIES	Comma-separated proxy URLs	-
SERP_PROXY_STRATEGY	Proxy selection strategy	dataimpulse_first
SERP_LOG_LEVEL	Logging level	WARNING
SERP_CACHE_DIR	Cache directory path	.cache/serp
SERP_CACHE_TTL	Default cache TTL in seconds	86400
SERP_CACHE_ENABLED	Enable/disable caching	true
SERP_MAX_RETRIES	Maximum retry attempts	3
SERP_RETRY_DELAY_MIN	Minimum retry delay (seconds)	0.5
SERP_RETRY_DELAY_MAX	Maximum retry delay (seconds)	2.0
SERP_EXPONENTIAL_BACKOFF	Use exponential backoff	false
SERP_TIMEOUT	Request timeout in seconds	30
SERP_DEBUG	Enable debug logging	false
SERP_DOTENV_FILE	Path to .env file	Auto-detect

API Reference

SerpClient

The recommended high-level interface for using the library.

from serp import SerpClient

client = SerpClient(
    headless=False,              # Optional
    use_cache=True,             # Optional
    cache_ttl=86400,            # Optional
    source=None,                # Optional: "google", "bing", or None (auto)
    max_retries=3,              # Optional
    timeout=30,                 # Optional
    log_level="WARNING",        # Optional
)

Methods

client.search(query, page_num=1, method=None, source=None, use_cache=None)

Search for a query and return results.

Parameters:

• query (str): Search query string
• page_num (int): Page number (1-based), defaults to 1
• method (str): Search method - "browser" (nodriver), "http" (httpx), or None (auto)
• source (str): Search engine - "google", "bing", or None (auto: google first, bing fallback)
• use_cache (bool): Whether to use cache. None uses client default.

Returns:

• list[SearchResult]: List of SearchResult objects

Raises:

• ProxyError: All proxies failed
• CaptchaError: CAPTCHA detected after all retries
• PageTimeoutError: Page load timeout
• ParseError: Failed to parse results

---

client.fetch(url, use_cache=None, prefer_browser=True)

Fetch a URL and return content as Markdown.

Parameters:

• url (str): Target URL
• use_cache (bool): Whether to use cache. None uses client default.
• prefer_browser (bool): If True, use browser directly. If False, try HTTP first then fallback to browser.

Returns:

• str: Page content converted to Markdown

---

SearchResult

Typed result object returned by search operations.

from serp import SearchResult

result = SearchResult(
    rank=1,
    title="Example Title",
    url="https://example.com",
    description="Example description...",
    source="google"  # or "bing"
)

Attributes:

• rank (int): Position in search results (1-based)
• title (str): Result title
• url (str): Target URL
• description (str): Result snippet/description
• source (str): Search engine source ("google" or "bing")

Methods:

• to_dict(): Convert to dictionary for backward compatibility

---

Quick Functions

Module-level convenience functions using default client:

from serp import quick_search, quick_fetch, quick_search_http

# Quick search (auto method)
results = await quick_search("query")

# HTTP-based search only
results = await quick_search_http("query")

# Fetch URL
content = await quick_fetch("https://example.com")

---

GoogleNewsClient

Client for scraping Google News via RSS feeds.

from serp import GoogleNewsClient

client = GoogleNewsClient(
    language="tr",        # Language code (tr, en, etc.)
    country="TR",        # Country code (TR, US, etc.)
    time_range="d",      # Time range: "h" (hour), "d" (day), "w" (week), "m" (month)
)

Methods

client.get_news(query, max_results=50, queries=None)

Get news articles for a search term.

Parameters:

• query (str): Search term to find news for
• max_results (int): Maximum number of results (default: 50)
• queries (list[str]): Custom list of queries to use

Returns:

• list[NewsResult]: List of NewsResult objects

quick_news(query, max_results=50, language="tr", country="TR")

Convenience function for quick news retrieval.

from serp import quick_news

news = await quick_news("Tesla", max_results=20, language="en", country="US")

---

NewsResult

Typed result object for Google News articles.

from serp import NewsResult

result = NewsResult(
    title="Tesla announces new model",
    url="https://news.google.com/rss/articles/...",
    original_url="https://example.com/article",
    published=datetime(2026, 5, 11, 8, 0, 0),
    source="BBC",
    description="Tesla unveiled...",
    query="Tesla"
)

Attributes:

• title (str): News headline
• url (str): Google News RSS URL
• original_url (str): Original article URL (extracted from description)
• published (datetime): Publication date
• source (str): News source name (e.g., "BBC", "NTV")
• description (str): News summary/snippet
• query (str): Search query that returned this result

Methods:

• to_dict(): Convert to dictionary

---

NewsSettings

Configuration for Google News scraping.

from serp import NewsSettings

settings = NewsSettings(
    language="tr",    # Language code
    country="TR",     # Country code
    time_range="d",   # Time range: "h", "d", "w", "m"
)

Attributes:

• language (str): Language code (default: "tr")
• country (str): Country code (default: "TR")
• time_range (str): Time range filter (default: "d")

---

Utility Functions

set_log_level(level)

Set the log level for all serp loggers.

from serp import set_log_level

set_log_level("DEBUG")  # Enable debug logging
set_log_level("WARNING")  # Only show warnings and errors

---

Exceptions

Exception	Description
ProxyError	All proxies failed
CaptchaError	CAPTCHA could not be solved after retries
PageTimeoutError	Page load timeout
ParseError	Failed to parse results

---

Constants

Constant	Description
MAX_RETRIES	Maximum retry attempts (default: 3)
TIMEOUT_MS	Page timeout in milliseconds (default: 30000)
USER_AGENTS	List of user agent strings for rotation

---

Interactive CLI

The package includes an interactive CLI tool for testing:

python main.py

Features:

• SERP Search testing
• URL Fetch testing
• Google News RSS testing
• Proxy status checking

Project Structure

serp-scraper/
├── serp/                    # Main package
│   ├── __init__.py          # Exports and API
│   ├── client.py            # SerpClient and quick functions
│   ├── config.py            # Configuration constants
│   ├── config_pydantic.py   # Pydantic-based configuration
│   ├── types.py             # Type definitions (SearchResult, etc.)
│   ├── google_news.py       # Google News RSS client
│   ├── search.py            # Browser-based search
│   ├── fetch.py             # URL fetch functionality
│   ├── simple.py            # HTTP-based search
│   ├── parsers.py           # Result parsing logic
│   ├── cache.py             # Disk-based caching
│   └── utils.py             # Utilities and helpers
├── tests/                   # Test suite
│   ├── conftest.py          # Test fixtures
│   ├── test_serp.py
│   ├── test_google_news.py
│   └── test_cache.py
├── main.py                  # Interactive CLI tool
├── .env.example            # Environment variables template
├── pyproject.toml          # Project metadata
└── README.md               # This file

Testing

Run the test suite:

pytest

Run with coverage:

pytest --cov=serp --cov-report=html

Run specific test file:

pytest tests/test_serp.py

Architecture

Search Flow

1. Check cache for existing results (if use_cache=True)
2. Load proxy configuration from file or environment
3. Select random proxy (or DataImpulse if configured)
4. Create browser with stealth settings (browser method) or use HTTP client (http method)
5. Navigate to search URL
6. Wait for results to load
7. Check for CAPTCHA
8. Parse organic results
9. Cache results before returning

Search Methods

Browser Method (method="browser"):

• Uses nodriver for stealth Chrome automation
• More reliable, harder to detect
• Slower due to browser overhead

HTTP Method (method="http"):

• Uses httpx for direct HTTP requests
• Faster, less resource intensive
• May be blocked more easily

Caching

The caching system uses a disk-based approach:

• Cache entries stored as JSON files in .cache/serp/
• Keys are SHA256 hashes of query parameters
• Automatic expiration based on TTL
• Can be disabled via cache_enabled=False or SERP_CACHE_ENABLED=false

Error Handling

The library provides specific exceptions for different failure modes:

• ProxyError: All configured proxies failed or returned errors
• CaptchaError: Search engine detected automation and presented CAPTCHA
• PageTimeoutError: Page did not load within the timeout period
• ParseError: Page loaded but results could not be parsed

---

Dependencies

Package	Version	Purpose
nodriver	>=4.0.0	Stealth Chrome automation
markdownify	>=0.12.0	HTML to Markdown conversion
httpx	>=0.25.0	Async HTTP client
beautifulsoup4	>=4.12.0	HTML parsing
pydantic	>=2.0.0	Configuration validation
python-dotenv	>=1.0.0	.env file support

Development Dependencies

Package	Version	Purpose
pytest	>=7.0.0	Testing framework
pytest-asyncio	>=0.21.0	Async test support
pytest-cov	>=4.0.0	Coverage reporting
pytest-mock	>=3.10.0	Mocking utilities
pytest-httpserver	>=1.0.0	HTTP server for testing
ruff	>=0.1.0	Linting
mypy	>=1.0.0	Type checking
build	>=1.0.0	Package building
twine	>=4.0.0	Package publishing

License

MIT License - see LICENSE file for details.

Author

neuronaline - [e-mail]

Links

• Repository
• Issue Tracker
• Changelog

Disclaimer

This software is provided for educational and legitimate purposes only. Users are responsible for ensuring their use complies with search engine Terms of Service and applicable laws. The authors assume no liability for misuse of this software.