Integrations / AI frameworks / LangChain
Give your LangChain agents
the live web.
The langchain-zenrows package lets your chains and agents reach any page, past anti-bot and JavaScript, as clean Markdown or structured data.
Connect it
in a few lines.
# pip install langchain-zenrows from langchain_zenrows import ZenrowsUniversalScraper os.environ["ZENROWS_API_KEY"] = "YOUR_ZENROWS_API_KEY" scraper = ZenrowsUniversalScraper() result = scraper.invoke({ "url": "https://example.com", "response_type": "markdown", })
Full setup, parameters, and examples are in the LangChain integration docs.
What the integration
gives you.
- Live web, no blocksFetch real-time content past anti-bot and JavaScript-rendering limits.
- The format you needReturn pages as Markdown, plaintext, HTML, or PDF.
- Point extractionPull specific fields, tables, and more with CSS selectors.
- Managed infrastructureProxy rotation, headless browsers, and anti-bot evasion, handled.
What people build with it.
- 01Real-time monitoring. Watch pages and flag changes as they happen.
- 02Market research. Feed prices, reviews, and signals to a model for analysis.
- 03Grounded answers. Ground model responses in live, current web data.
- 04Comparison & summaries. Compare or summarize sources across many sites.
Connect LangChain
today.
Start building free
10,000 credits/month for free, always.
See the docs, or explore LlamaIndex, OpenAI.