async-web-search 0.2.1

Async web search library supporting Google, Wikipedia, and arXiv

Web Search

Async web search library supporting Google Custom Search, Wikipedia, and arXiv APIs.

You can search across multiple sources and retrieve relevant, clean, and formatted results efficiently.

🌟 Features

• ⚡ Asynchronous Searching: Perform searches concurrently across multiple sources
• 🔗 Multi-Source Support: Query Google Custom Search, Wikipedia, and arXiv
• 🧹 Content extraction and cleaning
• 🔧 Configurable Search Parameters: Adjust maximum results, preview length, and sources.

📋 Prerequisites

• 🐍 Python 3.8 or newer
• 🔑 API keys and configuration:
  • Google Search: Requires a Google API key and a Custom Search Engine (CSE) ID.
  • arXiv: No API key required.
  • Wikipedia: No API key required.

Set environment variables for Google API:

export GOOGLE_API_KEY="your_google_api_key"
export CSE_ID="your_cse_id"

📦 Installation

pip install async-web-search

🛠️ Usage

Example 1: Search across multiple sources

from web_search import WebSearch, WebSearchConfig

config = WebSearchConfig(sources=["google", "arxiv"])
results = await WebSearch(config).search("quantum computing")

print(results)

Example 2: Google Search

from web_search import GoogleSearchConfig
from web_search.google import GoogleSearch

config = GoogleSearchConfig(
    api_key="your_google_api_key",
    cse_id="your_cse_id",
    max_results=5
)
results = await GoogleSearch(config)._search("quantum computing")

for result in results:
    print(result)

Example 3: Wikipedia Search

from web_search import BaseConfig
from web_search.wikipedia import WikipediaSearch

wiki_config = BaseConfig(max_results=5, max_preview_chars=500)
results = await WikipediaSearch(wiki_config)._search("deep learning")

for result in results:
    print(result)

Example 4: ArXiv Search

from web_search import BaseConfig
from web_search.arxiv import ArxivSearch

arxiv_config = BaseConfig(max_results=3, max_preview_chars=800)
results = await ArxivSearch(arxiv_config)._search("neural networks")

for result in results:
    print(result)

📘 API Overview

🔧 Configuration

• BaseConfig: Shared configuration for all sources (e.g., max_results, max_preview_chars).
• GoogleSearchConfig: Google-specific settings (e.g., api_key, cse_id).
• WebSearchConfig: Configuration for the overall search process (e.g., sources to query).

📚 Classes

• WebSearch: Entry point for performing searches across multiple sources.
• GoogleSearch: Handles searches via Google Custom Search Engine API.
• WikipediaSearch: Searches Wikipedia and retrieves article previews.
• ArxivSearch: Queries arXiv for academic papers.

⚙️ Methods

• search(query: str): Main search method for WebSearch.
• _search(query: str): Source-specific search logic for GoogleSearch, WikipediaSearch, and ArxivSearch.

🤝 Contributing

We welcome contributions! To contribute:

• Fork the repository.
• Create a new branch (git checkout -b feature-name).
• Commit your changes (git commit -am "Add new feature").
• Push to the branch (git push origin feature-name).
• Open a pull request.

🧪 Running Tests

pytest -v

License

MIT