🚀 Advanced Keyword Scraper

A lightning-fast, asyncio-powered CLI tool designed for SEO professionals, digital marketers, and e-commerce sellers. It extracts thousands of long-tail search suggestions from multiple search engines in seconds, analyzes their SEO potential, identifies keyword trends, and groups them into intelligent topic clusters.

Developed with 🔥 by LORD SRIJWN

✨ Key Features

• ⚡ Ultra-Fast Async Engine: Powered by asyncio and aiohttp to fetch thousands of keywords in mere seconds without lag.
• 🌍 Multi-Platform Support: Scrape keywords from Google, YouTube, Amazon, and Bing.
• 📊 SEO Opportunity Score: Automatically grades each keyword (1-100) based on length, search intent, and ranking difficulty.
• 📈 Keyword Trend Status: Identifies if a keyword is a 🔥 Breakout Trend, 📈 Rising, 💡 Emerging, or ➖ Stable.
• 🧠 Topic Clustering: Automatically groups thousands of keywords into relevant topic clusters (e.g., "Cotton", "Silk", "Party") and saves them in separate Excel sheets.
• 📝 N-Gram Analysis: Generates frequency counts for Unigrams (Top Words), Bigrams, and Trigrams to help optimize titles and backend search terms.
• 🌐 Regional Language Support: Perform local SEO by extracting keywords in Bengali (bn), Hindi (hi), or any other language.
• 🕵️‍♂️ Recursive Deep Search (Level 2): Digs deep into initial results to find hidden, ultra-low competition long-tail keywords.
• 🗃️ Multi-Format Export: Save your reports in beautiful Excel (.xlsx), CSV, JSON, or even SQLite (.db) databases for massive datasets.

⚙️ Installation

Install or upgrade the package globally using pip:

pip install --upgrade advanced-keyword-scraper

(Note: Requires Python 3.8 or higher)

📖 User Manual & Usage Guide

Once installed, you can run the tool from anywhere in your terminal using the keyword-scraper command.

Basic Syntax

keyword-scraper [KEYWORDS] [OPTIONS]

Command Line Arguments (Options)

💡 Practical Examples

1. YouTube Deep Search with SQLite Export

Extract thousands of hidden YouTube keywords, ignore outdated years, and save to a database: keyword-scraper "ssc cgl strategy" "ssc cgl maths" --engine youtube --depth 2 --exclude "2023,2024,scam" --format sqlite

2. Regional Local SEO (Bengali)

Find out what local customers are searching for in their native language: keyword-scraper "annapurna bhandar" "অন্নপূর্ণা ভান্ডার" --engine google --lang bn

3. E-commerce Keyword Research (Amazon)

Perfect for finding high-intent buying keywords for product listings: keyword-scraper "cotton kurti" "party wear saree" --engine amazon --format excel

4. Massive Google Topic Clustering

Perform a massive search and let the tool automatically cluster keywords by topics and generate N-Grams: keyword-scraper "digital marketing" "seo course" --engine google --depth 2 --threads 30

📁 Output Structure

The tool creates a folder named SEO_Keywords in your current directory. If you choose the excel format, you get an incredibly detailed, ready-to-use file:

1. All Keywords: The master dataset containing the Keyword, Search Intent, SEO Opportunity Score, and Trend Status.
2. Top Words (Unigram): Frequency of single words used across all queries.
3. Top Bigrams: 2-word combinations for long-tail title optimization.
4. Top Trigrams: 3-word combinations for backend search terms.
5. Topic Clusters (Multiple Sheets): Keywords automatically grouped by their core topic (e.g., a dedicated sheet just for "Strategy" or "Syllabus").

📜 License

This project is licensed under the MIT License.

Crafted by LORD SRIJWN