Google Scholar Search v1.01

A Python tool to search and analyze Google Scholar articles by keywords, sort by citations, and extract useful information.

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Features

• Search Google Scholar for academic papers
• Sort results by citation count
• Extract keywords from abstracts
• Save results to CSV file

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Installation

1. Clone this repository:

   git clone https://github.com/xodn348/google-scholar-search.git
   cd google-scholar-search

2. Install required packages:

   pip install serpapi pandas nltk python-dotenv

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Setup

1. Create a .env file with your SerpAPI key and search parameters:

   SERPAPI_KEY=your_serpapi_key_here
   

2. Get a SerpAPI key from https://serpapi.com/ (free tier available)

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Usage

Run the script:

python3 serp.py

The tool will:

1. Search Google Scholar for your keyword
2. Retrieve up to 100 papers
3. Sort them by citation count
4. Extract keywords from abstracts
5. Save results to a CSV file (e.g., byzantine_fault_tolerance_papers.csv)

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Required Modules

The script requires these Python modules:

• serpapi: For Google Scholar API access
• pandas: For data handling and CSV export
• nltk: For natural language processing and keyword extraction
• python-dotenv: For loading environment variables

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Example Output

The CSV output includes:

• Paper title
• Snippet/abstract
• Link to paper
• Citation count
• Extracted keywords

The script also prints the top 10 most frequent keywords in the results.

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License

Apache-2.0 License

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Author

Junhyuk Lee (@xodn348)