serp-forge 1.0.0

A powerful web scraping toolkit for SERP data extraction and analysis

Serp Forge 🚀

The next-generation search & web intelligence engine for developers, analysts, and AI workflows.

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🌟 Vision & Purpose

Serp Forge empowers you to search, extract, and analyze the world's information with ease, speed, and stealth. Whether you're building data-driven products, monitoring trends, or fueling AI models, Serp Forge is your all-in-one toolkit for:

• Unrestricted search across web, news, images, and videos
• Anti-detection scraping with IP rotation, browser evasion, and header randomization
• AI-powered content extraction and sentiment/meta analysis
• Batch, async, and high-performance workflows
• Rich, ready-to-use outputs for analytics, ML, and reporting

Purpose: Democratize access to web data, making advanced search and extraction accessible, ethical, and developer-friendly.

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🛠️ How Serp Forge Works

flowchart TD
    A["User/Developer"] -->|"CLI / Python API"| B["Serp Forge"]
    B --> C["Serper API"]
    B --> D["Anti-Detection Engine"]
    B --> E["Content Extraction & AI Analysis"]
    D --> F["Proxy Rotation"]
    D --> G["Header Randomization"]
    D --> H["Browser Evasion"]
    E --> I["Text Extraction"]
    E --> J["Sentiment & Metadata"]
    E --> K["Batch & Async Processing"]
    B --> L["Rich Output: JSON, CSV, Analysis"]
    style B fill:#f9f,stroke:#333,stroke-width:2px
    style D fill:#bbf,stroke:#333,stroke-width:1px
    style E fill:#bfb,stroke:#333,stroke-width:1px

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🚀 Quick Start

Installation

# Install from PyPI (recommended)
pip install serp-forge

# Or install from source
git clone https://github.com/vishal-mishra/serp-forge.git
cd serp-forge
pip install -e .

Setup

# Set API key
export SERPER_API_KEY="your_api_key_here"

# Basic usage
serp-forge search "AI news 2025" --max-results 10

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🧠 Why Serp Forge?

• No more blocks: Advanced anti-detection, proxy, and browser evasion built-in
• AI-native: Sentiment, metadata, and content extraction for downstream ML/analytics
• Lightning fast: Async, batch, and parallel scraping for scale
• Developer-first: Python API, CLI, config, and rich output formats
• Ethical & transparent: Designed for responsible, legal, and auditable use

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🐍 Python Usage

import serp_forge as sf

# Simple search and scrape
results = sf.scrape("latest AI news", max_results=10)

# News search
news = sf.scrape("blockchain technology", search_type="news", max_results=5)

# Batch processing
queries = ["AI trends", "ML news", "tech updates"]
batch_results = sf.batch_scrape(queries, parallel=True)

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✨ Features

• 🔍 Serper API Integration - Get search results with full content extraction
• 🛡️ Anti-Detection - IP rotation, header randomization, browser fingerprinting evasion
• 🤖 AI Content Extraction - Intelligent content parsing and cleaning
• ⚡ Async Support - High-performance concurrent scraping
• 📊 Batch Processing - Process multiple queries efficiently
• 🎯 Multiple Search Types - Web, news, images, videos
• 📝 Rich Output - JSON, CSV, sentiment analysis, metadata extraction

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🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

# Clone the repository
git clone https://github.com/vishal-mishra/serp-forge.git
cd serp-forge

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .

# Install development dependencies
pip install -r requirements.txt

# Run tests
pytest

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📚 Documentation

• Installation Guide
• Usage Examples
• Configuration
• API Reference
• CLI Reference
• Testing Guide

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📦 PyPI Package

Serp Forge is available on PyPI: https://pypi.org/project/serp-forge/

pip install serp-forge

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💡 License

MIT License - see LICENSE file for details.