llm-price-scraper 1.0.2

A simple Python SDK to scrape and retrieve pricing information for Large Language Models (LLMs) from an external webpage, with structured models for easy integration and usage.

LLM Price Scraper

LLM Price Scraper is a Python package designed to scrape and organize pricing information for large language models (LLMs) from the following sources:

• https://docsbot.ai/tools/gpt-openai-api-pricing-calculator (best source for now)
• https://huggingface.co/spaces/philschmid/llm-pricing
• https://www.botgenuity.com/tools/llm-pricing
• https://llm-price.com

Installation

You can install the package using pip:

pip install llm-price-scraper==1.0.2

Usage

Once you have installed the scrapper, you can use it to quickly retrieve the current pricing information from the website.

from llm_price_scraper.scrapers import LlmPricingScraper

# Get the pricing information
pricing_data = LlmPricingScraper.scrape()

# Loop through each pricing entry and print data
for entry in pricing_data:
    print(f"Model: {entry.model}")
    print(f"Provider: {entry.provider}")
    print(f"1M input tokens: {entry.input_tokens_price}$")
    print(f"1M output tokens: {entry.output_tokens_price}$")
    print(f"Context: {entry.context}")
    print(f"Source: {entry.source}")
    print(f"Updated: {entry.updated}")
    print("-" * 40)
    
# get all gpt-4o models
gpt_4o_models = [entry for entry in pricing_data if "gpt-4o" in entry.model.lower()]
print("GPT-4o models:")
for entry in gpt_4o_models:
    print(f"Model: {entry.model}")
    print(f"Provider: {entry.provider}")
    print(f"1M input tokens: {entry.input_tokens_price}$")
    print(f"1M output tokens: {entry.output_tokens_price}$")
    print(f"Context: {entry.context}")
    print(f"Source: {entry.source}")
    print(f"Updated: {entry.updated}")
    print("-" * 40)

You can also chose the source of the data you want to scrape by passing the source as an argument to the scrape method. The available sources are defined in the DataSources enum.

from llm_price_scraper.scrapers import LlmPricingScraper, DataSources

pricing_data = LlmPricingScraper.scrape(DataSources.HUGGINGFACE)

Example Output

After running the above code, you should see an output like this:

Model: gpt-4-32k
Provider: OpenAI
1M input tokens: 60
1M output tokens: 120
Context: 32K
Source: https://www.botgenuity.com/tools/llm-pricing
Updated: March 16, 2024
----------------------------------------
...

Error Handling

In case of a failure to connect to the webpage, an exception will be thrown with an appropriate message. For example:

Exception: Failed to retrieve the webpage. Status code: 404

Contributing

Contributions, bug reports, and feature requests are welcome! Feel free to submit a pull request or open an issue on GitHub.

License

This project is licensed under the MIT License - see the LICENSE file for details.