fundingextractor 2025.12.21141421

A new package that processes news headlines and extracts structured information about company funding events, such as startup names, valuation amounts, and funding rounds, using pattern matching to en

FundingExtractor

FundingExtractor is a Python package designed to process news headlines and extract structured information about company funding events. Using pattern matching, it ensures consistent and accurate data extraction from text inputs, capturing details such as startup names, valuation amounts, and funding rounds.

Installation

pip install fundingextractor

Usage Example

from fundingextractor import fundingextractor

# Example user input
user_input = "Tech startup ABC raised $50M in Series A funding."

# Call the function with default LLM
results = fundingextractor(user_input)
print(results)

Parameters

• user_input: str
  The input text to process, such as news headlines or reports.

• llm: Optional[BaseChatModel]
  An optional LangChain LLM instance. Defaults to using ChatLLM7 from langchain_llm7.

• api_key: Optional[str]
  API key for the LLM service. If not provided, the package will attempt to use the LLM7_API_KEY environment variable.

Supported LLMs

The package uses ChatLLM7 from langchain_llm7 by default. You can also pass your own LLM instance to leverage different providers, such as:

• OpenAI

from langchain_openai import ChatOpenAI
from fundingextractor import fundingextractor

llm = ChatOpenAI()
response = fundingextractor(user_input, llm=llm)

• Anthropic

from langchain_anthropic import ChatAnthropic
from fundingextractor import fundingextractor

llm = ChatAnthropic()
response = fundingextractor(user_input, llm=llm)

• Google PaLM or Generative AI

from langchain_google_genai import ChatGoogleGenerativeAI
from fundingextractor import fundingextractor

llm = ChatGoogleGenerativeAI()
response = fundingextractor(user_input, llm=llm)

Notes

• The default rate limits for LLM7's free tier are sufficient for general use.
• For higher rate limits, you can pass your API key via the LLM7_API_KEY environment variable or directly in the function call:

response = fundingextractor(user_input, api_key="your_api_key")

• Obtain a free API key by registering at https://token.llm7.io/

References

• The package utilizes ChatLLM7 from langchain_llm7

Support and Issues

For issues or contributions, please visit the GitHub repository: https://github.com/chigwell/fundingextractor

Author

• Eugene Evstafev
• Email: [e-mail]
• GitHub: chigwell