ai-url-aggregator 0.2

Tool that uses Perplexity and OpenAI to search with SERP and filter for relevant URLs.

ai_url_aggregator

Note: This is a small experimental library, provided as-is.

ai_url_aggregator is a Python tool that leverages Perplexity and OpenAI to search the internet for relevant URLs, filter and deduplicate them, check their availability, and then select the most important ones based on GPT analysis.

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Features

1. Search Across Models
   Uses Perplexity’s sonar-reasoning model to query the internet for URLs related to your prompt.
2. Clean & Filter
   • Prefers https:// links when both http:// and https:// are found for the same domain.
   • Removes duplicates by collecting results into a set.
3. Online Check
   • Verifies each URL’s availability (status codes 200 or 403) using requests.
4. Relevance Ranking
   • Uses an OpenAI model to select the most important websites from the deduplicated list of online URLs.

DeepWiki Docs: https://deepwiki.com/carlosplanchon/ai_url_aggregator

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Installation

1. Install via PyPI

uv add ai_url_aggregator

2. Set Environment Variables

You must provide your Perplexity and OpenAI API keys:

export PERPLEXITY_API_KEY="PERPLEXITY_API_KEY"
export OPENAI_API_KEY="OPENAI_API_KEY"

Replace "PERPLEXITY_API_KEY" and "OPENAI_API_KEY" with your actual API keys.

3. (Optional) Install from Source

1. Clone or Download this repository.
2. Install Dependencies:

   uv sync
   

   This ensures all required libraries (like openai, requests, etc.) are installed.

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How It Works

1. query_models(query: str) -> list[str]

   • Sends a query to Perplexity’s sonar-reasoning model.
   • Parses the Perplexity output with an OpenAI model into a structured list of URLs.

2. keep_https(urls: list[str]) -> list[str]

   • Selects https:// versions of URLs when duplicates exist, else keeps http://.

3. execute_query_multiple_times(query: str, num_runs: int) -> list[str]

   • Runs the query multiple times to gather more URLs.
   • Deduplicates results using a set.

4. check_urls_online(urls: list[str]) -> list[str]

   • Pings each URL to see if it’s reachable (status 200 or 403).

5. search_for_web_urls(query: str, num_runs: int) -> list[str]

   • Brings all the above together:
     1. Executes a query multiple times.
     2. Prefers HTTPS versions of each domain.
     3. Verifies URL reachability.
     4. Returns a final list of online, deduplicated URLs.

6. get_top_relevant_websites(website_urls: list[str]) -> list[Website]

   • Uses an OpenAI model to select the most relevant (important) websites from the final list of URLs.

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Usage Example

Once installed and your environment variables are set, you can do:

import prettyprinter
from ai_url_aggregator import (
    search_for_web_urls,
    get_top_relevant_websites
)

# Optional: install prettyprinter extras for nicer output
prettyprinter.install_extras()

# Example query:
query = "Give me a list of all the real state agencies in Uruguay."

# Step 1: Get a cleaned, deduplicated, and verified list of URLs
online_urls = search_for_web_urls(query=query)

print("--- Online URLs ---")
prettyprinter.cpprint(online_urls)

# Step 2: Get the most important websites from the final list
most_important_websites = get_top_relevant_websites(website_urls=online_urls)

print("--- Most Important Websites ---")
prettyprinter.cpprint(most_important_websites)

Result (Main real state agencies in Uruguay):

[
    'https://www.infocasas.com.uy',
    'https://www.casasweb.com.uy',
    'https://www.mercadolibre.com.uy/inmuebles',
    'https://www.uruguayinmobiliarias.com'
]

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License

This project is distributed under the MIT License. See LICENSE for more information.

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All suggestions and improvements are welcome!