Plug Searlo Into Your Stack

Use Searlo as a LangChain tool for agent web search and RAG retrieval

Custom Tool for agents WebSearchRetriever RAG pipeline integration

# pip install langchain httpx from langchain.tools import tool import httpx @tool def searlo_search(query: str) -> str: """Search the web using Searlo SERP API.""" resp = httpx.get( "https://api.searlo.tech/api/v1/search/web", params={"q": query, "toon": "true"}, headers={"X-API-Key": "your_key"}, ) return resp.json()["toon"] # Token-optimized output # Use in a LangChain agent from langchain.agents import initialize_agent, AgentType from langchain_openai import ChatOpenAI agent = initialize_agent( tools=[searlo_search], llm=ChatOpenAI(model="gpt-4o"), agent=AgentType.OPENAI_FUNCTIONS, ) agent.invoke("What are the latest AI trends?")

Give your CrewAI agents real-time web search with Searlo

Custom BaseTool Agent web access Multi-agent workflows

# pip install crewai httpx from crewai import Agent, Task, Crew from crewai.tools import BaseTool import httpx class SearloSearchTool(BaseTool): name: str = "Web Search" description: str = "Search the web for current information" def _run(self, query: str) -> str: resp = httpx.get( "https://api.searlo.tech/api/v1/search/web", params={"q": query, "toon": "true"}, headers={"X-API-Key": "your_key"}, ) return resp.json()["toon"] researcher = Agent( role="Research Analyst", goal="Find accurate, current information", tools=[SearloSearchTool()], )

Add web search retrieval to your LlamaIndex RAG pipeline

Custom QueryEngine Web retrieval node Index augmentation

# pip install llama-index httpx from llama_index.core.tools import FunctionTool import httpx def web_search(query: str) -> str: """Search Google via Searlo for real-time web results.""" resp = httpx.get( "https://api.searlo.tech/api/v1/search/web", params={"q": query, "num": 5}, headers={"X-API-Key": "your_key"}, ) results = resp.json().get("organic", []) return "\n".join( f"- {r['title']}: {r['snippet']}" for r in results ) search_tool = FunctionTool.from_defaults(fn=web_search) # Use in a LlamaIndex agent from llama_index.agent.openai import OpenAIAgent agent = OpenAIAgent.from_tools([search_tool]) agent.chat("Find recent news about RAG pipelines")

Add Searlo web search to your n8n automation workflows

HTTP Request node Webhook triggers Data transformation

// n8n HTTP Request Node Configuration { "method": "GET", "url": "https://api.searlo.tech/api/v1/search/web", "qs": { "q": "={{ $json.query }}", "num": 10, "gl": "us" }, "headers": { "X-API-Key": "your_searlo_api_key" }, "json": true } // Connect: Trigger → HTTP Request → Process Results // Use expressions to pass dynamic queries from forms, // webhooks, or previous nodes.

Native Python integration with async support and type hints

Async support Type hints Error handling

# pip install httpx import httpx from typing import Any async def search( query: str, num: int = 10, country: str = "us", toon: bool = False, ) -> dict[str, Any]: """Search Google via Searlo SERP API.""" async with httpx.AsyncClient() as client: resp = await client.get( "https://api.searlo.tech/api/v1/search/web", params={ "q": query, "num": num, "gl": country, "toon": str(toon).lower(), }, headers={"X-API-Key": "your_key"}, ) resp.raise_for_status() return resp.json() # Usage import asyncio results = asyncio.run(search("best SERP API 2026", toon=True)) print(results["toon"]) # Token-optimized output

Server-side integration with Express, Fastify, or standalone

Express middleware Fetch API TypeScript support

// Node.js 18+ with built-in fetch const SEARLO_KEY = process.env.SEARLO_API_KEY; async function search(query, options = {}) { const params = new URLSearchParams({ q: query, num: options.num || 10, gl: options.country || "us", ...(options.toon && { toon: "true" }), }); const res = await fetch( `https://api.searlo.tech/api/v1/search/web?${params}`, { headers: { "X-API-Key": SEARLO_KEY } } ); if (!res.ok) throw new Error(`Searlo: ${res.status}`); return res.json(); } // Express route example app.get("/api/search", async (req, res) => { const data = await search(req.query.q, { toon: true }); res.json(data); });

Searlo is a standard REST API. Any language that can make HTTP requests can integrate in one line:

curl "https://api.searlo.tech/api/v1/search/web?q=your+query&toon=true" \ -H "X-API-Key: your_api_key" # Also works: Go, Ruby, PHP, Rust, Java, C#, Kotlin, Swift... # Any HTTP client works. JSON response. No SDK required.

We also build RenderKit — the browser-rendering API for screenshots, PDFs, and LLM-ready markdown. Same billing model, same developer-first API design.

Explore the full RenderKit API →