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Live web data for AI agents and automated workflows

ScraperAPI gives teams reliable web data for AI agents and automated workflows. Connect Claude, n8n, MCP clients, LangChain, LlamaIndex, and more to live web data for research, monitoring, and automation without managing proxies, browsers, retries, or bot detection.

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No card required. Connect your first workflow in minutes.

99.9% success rate

40M+ IPs

150+ countries

What teams build with ScraperAPI

Build automations that run on live web data. ScraperAPI gives teams the web data for automated workflows that need current pricing, search, market, and lead intelligence.

Competitor pricing monitor

Track prices across Amazon, Walmart, and competitor sites automatically. Your workflow pulls live data on a schedule, flags changes, and provides data for AI agents to summarize trends and identify pricing opportunities.

Market research

Pull competitor pages, news sources, and industry sites automatically. Your AI works with structured, current data, not manual searches or stale exports.

Lead research automation

Pull company data, job listings, and contact signals from fresh public web data across directories and websites. Your workflow enriches the list while you focus on outreach.

SERP and ranking tracker

Monitor keyword positions, track SERP features, and pull structured SERP data automatically. Run automated workflows on a schedule and get clean results weekly, daily, or hourly.

Native integrations for your automation stack

Connect the tools you already use to the live web.

Claude plugin

For Claude Code and Cowork

Use Claude with live data for AI agents during research, monitoring, and analysis tasks. Ask Claude for live web data and get structured results back directly in the conversation. No setup, no configuration. Just tell Claude what you need, and ScraperAPI handles the rest.

n8n node

For workflow builders

For no-code teams that need web data for automated workflows, ScraperAPI works as a native node in your n8n workflows. Pull live data, including prices, search results, news, listings, and more on a schedule or as a trigger. No code required.

CLI & MCP Server

For terminal and MCP clients

Give terminal workflows and MCP clients reliable access to live web data. Run ScraperAPI straight from your terminal with the CLI, or connect once via MCP and use it across every MCP client you use today and any new one you adopt. Routing is handled automatically, so the right endpoint is selected without you writing any logic.

LangChain & LlamaIndex

For Python developers

Give Python-based AI agents reliable web data through raw HTML, clean markdown, or structured JSON. Access Google, Amazon, and virtually any other website with bot detection, proxy management, and automatic retries built in.

Everything Your AI Agents Need

AI agents need current web data, structured outputs, and reliable access to protected websites. ScraperAPI provides all three through one simple integration.

Scraper API Tool

  • Returns raw HTML, clean text, or LLM-ready markdown
  • Use it to supply data for AI agents from JavaScript-heavy and protected sites.
  • Geo-targeting, bot detection bypass, and retries included

Google & Amazon Structured Tools

  • Use structured web data for automated workflows like SERP tracking, job monitoring, and product research.
  • Google Jobs: Job cards (title, company, location, link, etc.)
  • Amazon Search: Products, prices & ratings

LLM Optimized Output by Design

  • Markdown yields better comprehension and lower tokens
  • JSON schema simplifies post-processing. Structured outputs help AI agents reliably read, interpret, and act on web data with minimal cleanup or transformation.

See It in Action

From basic chatbot to intelligent web agent in just under 5 min.

python snippet
from langchain_openai import ChatOpenAI
from langchain.agents import AgentExecutor, create_openai_tools_agent
from langchain_scraperapi import ScraperAPITool
from langchain.prompts import PromptTemplate


input = "Find Python developer jobs in London"
prompt = PromptTemplate(
	template="""
	You are a job search AI assistant with the ability to browse Google jobs via an API. 
	Help the user based on their request: {input} / {agent_scratchpad}.
	""",
	input_variables=["input", "agent_scratchpad"]
)


model = ChatOpenAI( )
tools = [
	ScraperAPITool(
		type="structured",
		endpoint="google/jobs",
		tld="co.uk", # search for jobs in the UK only, as an example
		max_results=10
	)
]

agent = create_openai_tools_agent (model, tools, prompt)
agent_executor = AgentExecutor(
 	agent=agent, 
 	tools=tools,
)

result = agent_executor . invoke({"input": input})
Without ScraperAPI x LangChain
  • Gets blocked by bot detection
  • Fails on JavaScript-heavy sites
  • Requires complex proxy setup
  • Inconsistent data quality
  • Hours of debugging
With ScraperAPI x LangChain
  • Works on any website, every time
  • Handles JavaScript automatically
  • No infrastructure needed
  • Clean, LLM-optimized data
  • 2 lines of code
Start for free

Why 10,000+ Teams Choose ScraperAPI

Replace hours of manual data work

Stop refreshing spreadsheets, copy-pasting from websites, and waiting on engineering to pull a dataset. ScraperAPI turns manual research into web data for automated workflows that run on a schedule.

Your workflows keep running, even on protected sites

99.9% success rate on sites like Amazon and Google. When a site updates its anti-bot protection, ScraperAPI adapts automatically so your automation keeps running. This keeps data for AI agents flowing even when target websites change.

Data your AI can actually use

ScraperAPI returns clean markdown and structured JSON, not raw HTML. AI agents can interpret web data correctly without an extra cleanup step, making it easier to automate decisions and workflows.

Connect in minutes, with or without code

Install the ScraperAPI Claude plugin, run it from your terminal with the ScraperAPI CLI, or add it to your LangChain project. Teams can connect data for AI agents through Claude, n8n, CLI, MCP, LangChain, or LlamaIndex. No proxies to configure and no infrastructure to maintain.

Pay only for data that comes back clean

No charges for failed requests. ScraperAPI handles IP rotation, JavaScript rendering, and CAPTCHA bypassing behind the scenes, so you only pay for successful results.

Data from anywhere, targeted to where it matters

Pull data from 150+ countries with geo-targeted IPs. Track prices in specific markets, monitor local search results, and collect region-specific web data for automated workflows and AI agents.

Frequently Asked Questions About Data for AI Agents

ScraperAPI connects to the tools your team already uses:

For developers: command-line interface (CLI) for terminal and scripted workflows, MCP server for any MCP-compatible client, and native LangChain and LlamaIndex support for Python.

For no-code workflows: n8n node for visual workflow builders, Claude plugin for Cowork.

Absolutely! ScraperAPI works with any LLM provider supported by LangChain, including OpenAI, Cohere, Hugging Face models, and local models. The tools are completely LLM-agnostic, so you can switch providers without changing your scraping setup.

Data for AI agents is live web data that an AI system can use to research topics, monitor changes, compare products, enrich records, and complete tasks. ScraperAPI provides this data as raw HTML, clean markdown, or structured JSON so agents can use it in automated workflows.

AI agents need live web data when they are expected to work with current prices, search results, job listings, market changes, news, product data, or lead signals. Fresh data helps AI agents produce more accurate outputs and take action based on current information instead of stale exports.

ScraperAPI handles the web scraping infrastructure behind automated workflows, including proxy rotation, JavaScript rendering, geotargeting, retries, and bot detection. This lets teams pull reliable web data on a schedule, through a trigger, or directly inside tools like Claude, n8n, MCP clients, CLI workflows, LangChain, and LlamaIndex.

Yes. ScraperAPI can return raw HTML, clean markdown, and structured JSON. Structured outputs help AI workflows reduce cleanup, lower processing time, and pass cleaner data into LLMs, agents, dashboards, and automation tools.

Start with 5,000 FREE requests to test your agents. After that, upgrade to a paid plan.

Yes. ScraperAPI is designed for ethical scraping of publicly available data. We implement ethical rate limiting and are CCPA and GDPR compliant. However, it is still important to use the service ethically: make sure to use ScraperAPI’s infrastructure while following best practices.

Stop building scrapers. Start running on live data.

Connect ScraperAPI to Claude, n8n, LangChain, and more. Pull structured web data into AI agents, automated workflows, and applications in minutes.

Start for free

No card required. Connect your first workflow in minutes.