LangChain (Python)

pip install langchain-decodo

export DECODO_API_TOKEN=your_api_key

from langchain_decodo import DecodoWebScrapeTool

tool = DecodoWebScrapeTool(auth_mode="token")

pip install langchain-decodo langchain langchain-openai
export DECODO_API_TOKEN=your_api_key
export OPENAI_API_KEY=your_openai_key

# main.py
from langchain.agents import create_agent
from langchain_decodo import DecodoSearchTool, DecodoWebScrapeTool

agent = create_agent(
    model="openai:gpt-5-mini",
    tools=[
        DecodoSearchTool(auth_mode="token"),
        DecodoWebScrapeTool(auth_mode="token"),
    ],
)

result = agent.invoke(
    {
        "messages": [
            {
                "role": "user",
                "content": "Search Google for the 2025 NBA Finals, scrape the Wikipedia page about it and tell me who won.",
            }
        ]
    }
)

print(result["messages"][-1].content)

from langchain_decodo import DecodoSearchTool, DecodoWebScrapeTool

scrape = DecodoWebScrapeTool(auth_mode="token")
markdown = scrape.invoke("https://quotes.toscrape.com")

search = DecodoSearchTool(auth_mode="token")
results = search.invoke({"query": "wireless keyboard", "engine": "amazon"})

from langchain_decodo import DecodoLoader

loader = DecodoLoader(
    urls=["https://quotes.toscrape.com", "https://books.toscrape.com"],
    auth_mode="token",
)

for doc in loader.lazy_load():
    print(doc.metadata["url"], doc.metadata["status_code"], len(doc.page_content))