langchain-webmetadata-extractor

LangChain tools for the Web Metadata, OpenGraph & Contact Extractor API — give an agent the ability to turn any URL into structured web intelligence, clean Markdown for RAG, contact signals for lead-gen, or a graded SEO audit.

pip install langchain-webmetadata-extractor

Quick start

Get a free API key on RapidAPI (1,000 requests/month, no credit card required).

from langchain_webmetadata_extractor import get_tools

tools = get_tools(api_key="YOUR_RAPIDAPI_KEY")
# or leave api_key out and set the WEBMETADATA_API_KEY environment variable instead

agent = create_react_agent(llm, tools)  # or bind_tools(tools), or any LangGraph node

You can also import and use tools individually:

from langchain_webmetadata_extractor import WebMarkdownTool

reader = WebMarkdownTool(api_key="YOUR_RAPIDAPI_KEY")
print(reader.run("https://example.com"))

Tools included

Every tool supports both sync (.run() / ._run()) and async (.arun() / ._arun()) execution, and returns a JSON string — API errors come back as {"error": true, "status_code": ..., "detail": ...} instead of raising, so an agent loop can react to them without crashing.

Configuration

Pass api_key explicitly per tool, or set it once via the WEBMETADATA_API_KEY environment variable and omit it everywhere:

export WEBMETADATA_API_KEY=your-rapidapi-key

Links

• Python SDK this wraps (webmetadata-extractor)
• Full API documentation
• Live interactive demo — no signup needed

License

MIT