langchain-quanticdata

LangChain integration for QuanticData: give an agent live web data — pages as clean Markdown, structured SERP results, whole-site crawls, SEO audits, 74 ready-made collectors and prompt-driven datasets — all routed through residential proxies with real-browser TLS fingerprints, billed only on success.

pip install langchain-quanticdata

Set your key once (free monthly usage, no card required — get one at quanticdata.io):

export QUANTICDATA_API_KEY=qd_live_your_key_here

Document loaders

from langchain_quanticdata import QuanticDataLoader, QuanticDataCrawlLoader

# one or more URLs, rendered only when the page needs it
docs = QuanticDataLoader(["https://example.com"], content_mode="smart").load()
print(docs[0].page_content)          # Markdown
print(docs[0].metadata["title"], docs[0].metadata["engine"])

# a whole site, breadth-first
docs = QuanticDataCrawlLoader("https://docs.example.com", limit=50, depth=2).load()

Retriever

Search the live web and get the top sources back as documents — useful when an index would go stale:

from langchain_quanticdata import QuanticDataRetriever

retriever = QuanticDataRetriever(k=3, country="us")
docs = retriever.invoke("what changed in the EU AI act")

Agent toolkit

from langchain.agents import create_agent
from langchain_quanticdata import QUANTICDATA_TOOLS

agent = create_agent(model, tools=QUANTICDATA_TOOLS)
agent.invoke({"messages": [("user", "Find the 5 cheapest Nintendo Switch OLED offers in the US")]})

Import any of them individually if you want a smaller surface:

from langchain_quanticdata import quanticdata_search, quanticdata_scrape

Notes

• Failed calls (blocked pages, captchas) are never billed.
• The tools call the public QuanticData API with your own key; nothing else is stored or proxied.
• Full parameter reference: quanticdata.io/docs.

MIT licensed.