search-ai-core 0.1.3

Google Search & News tool with advanced filters and LLM-friendly output formats!

Google Search & News tool with advanced filters and LLM-friendly output formats!

✅ Search google with 20+ powerful filters

✅ Get results in LLM-optimized Markdown and JSON formats

✅ Built-in support for asyncio, proxies, regional targeting, and more!

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Install

$ pip install search-ai-core

🚀 Examples

Basic search

from search_ai import search

results = search('Best LLM')

for result in results:
    print(result)

Output:

SearchResult(title="LLM Leaderboard 2025 - Vellum AI", link="https://www.vellum.ai/llm-leaderboard", description="This LLM leaderboard displays the latest public benchmark performance for SOTA model versions released after April 2024.")
SearchResult(title="What is your favorite LLM right now? : r/singularity - Reddit", link="https://www.reddit.com/r/singularity/comments/1impsjl/what_is_your_favorite_llm_right_now/", description="Gemini 2.0 pro is amazing at writing tasks specially because of the long context window. Try it out. It can even write in style of famous ...")
SearchResult(title="Top 9 Large Language Models as of May 2025 | Shakudo", link="https://www.shakudo.io/blog/top-9-large-language-models", description="Below, we highlighted the top 9 LLMs that we think are currently making waves in the industry, each with distinct capabilities and specialized strengths.")
SearchResult(title="The best large language models (LLMs) in 2025 - Zapier", link="https://zapier.com/blog/best-llm/", description="There are dozens of major LLMs, and hundreds that are arguably significant for some reason or other. These are 14 of the best LLMs available now.")
SearchResult(title="LLM Rankings - OpenRouter", link="https://openrouter.ai/rankings", description="Leaderboard · 1. OpenAI: GPT-4o-mini · 2. Anthropic: Claude 3.7 Sonnet · 3. Google: Gemini 2.0 Flash · 4. Google: Gemini 2.5 Pro Preview · 5. Google: Gemini 2.5 ...")
SearchResult(title="Best LLM Benchmarks for code? - Cursor - Community Forum", link="https://forum.cursor.com/t/best-llm-benchmarks-for-code/36022", description="I have been struggling to find good benchmarks for LLMs to use with coding. Now we have ~10 models to choose from all with pros/cons.")
SearchResult(title="Best Small LLM For Rag - Models - Hugging Face Forums", link="https://discuss.huggingface.co/t/best-small-llm-for-rag/143971", description="Among the 7 or 8B models, Ministral instruct 2410 GGUF is the best for me in french (IQ4 XS is small), so it's probably also the best among the ...")
SearchResult(title="LLM Leaderboard - Compare GPT-4o, Llama 3, Mistral, Gemini ...", link="https://artificialanalysis.ai/leaderboards/models", description="Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed.")
SearchResult(title="25 of the best large language models in 2025 - TechTarget", link="https://www.techtarget.com/whatis/feature/12-of-the-best-large-language-models", description="Top current LLMs · BERT · Claude · Cohere · DeepSeek-R1 · Ernie · Falcon · Gemini · Gemma.")
SearchResult(title="The Best LLM Is.... (A breakdown for every category) - YouTube", link="https://www.youtube.com/watch?v=0K66T6J1pVc", description="Comparing large language models can be confusing, so I created a benchmarking system that ranks them in 17 key categories—like search, ...")

Using filters

from search_ai import search, Filters

search_filters = Filters(
    in_title="python",              # Only include results with "python" in the title
    tlds=[".edu", ".org"],          # Restrict results to .edu and .org domains
    https_only=True,                # Only include websites that support HTTPS
    exclude_sites='quora.com',      # Exclude results from quora.com
    exclude_filetypes='pdf'         # Exclude PDF documents from results
)

results = search(filters=search_filters)
for result in results:
    print(result.title)

Output:

Welcome to Python.org
Python Tutorial - W3Schools
Python (programming language) - Wikipedia
Learn Python - Free Interactive Python Tutorial
CS50's Introduction to Programming with Python | Harvard University
Real Python: Python Tutorials
Python for Everybody Specialization - Coursera
scikit-learn: machine learning in Python — scikit-learn 1.6.1 ...
Table Of Contents - Learn Python the Hard Way
Python Institute - PROGRAM YOUR FUTURE

Regional targeting

Search news

Markdown format

JSON format

Using proxies

Async support

🧰 All filters

⚙️ Search Configuration Options