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Give your LangChain Agents Real-Time Web Access

Pull in full-page scraping, markdown extension, and structured results. No infrastructure, no blocks, all with just two lines of code.

Get a custom trial and discover how ScraperAPI handles large scraping volumes

LangChain
Transform your LangChain agent

Why 10,000+ Developers Choose ScraperAPI for LangChain

Say goodbye to complex infrastructure and start focusing on building intelligent agents that work seamlessly.

Uptime guarantee

Save 200+ Hours of Development

Skip building proxy rotation, CAPTCHA solving, and rate limiting. We handle all the complex infrastructure so you can ship faster.

Never Get Blocked Again

99.9% success rate on protected sites like Amazon, LinkedIn, and Google. Your agents scrape reliably while you sleep.

Icon AI LLM-Ready Data

LLM-Ready Data That Boosts Agent Reliability

Clean markdown formatting and structured JSON output optimized for LLMs. Your agents understand web data better.

Icon code setup

Two Lines of Code Setup

Pip install, add API key, done. No complex configuration, no proxy management, no headaches. Just efficient web scraping.

Icon Pay only for successful

Pay only for successful requests

Eliminate manual proxy management, server maintenance, and DevOps overhead—ScraperAPI handles IP rotation, headless browsers, and CAPTCHAs for you.

IP locatations

Global Data Access

Scrape from 150+ countries with geo-targeted IPs. Ideal for market research, price monitoring, and localized content creation.

Everything Your LangChain Agents Need

Three powerful capabilities, one simple integration

Scraper API Tool

Google & Amazon Structured Tools

LLM Optimized Output by Design

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

What our Users Build

Real applications powered by ScraperAPI + LangChain

Market Research Agent

Monitor competitor pricing, track product launches, and analyze market trends across multiple websites automatically.

News Intelligence Bot

Scrape multiple news sources, extract key information, and generate personalized daily briefings for your users.

Lead Generation Assistant

Find potential customers by scraping business directories, social media, and company websites for contact information.

Price Monitoring System

Track product prices across Amazon, eBay, and other marketplaces. Alert users when prices drop below thresholds.

Frequently Asked Questions

Modern sites block simple requests and require JS rendering, proxy rotation, CAPTCHAs, and rate-limit handling. We do all that for you and return LLM-friendly markdown/JSON, improving accuracy and reducing tokens.

Any publicly accessible site, including protected and JS-heavy pages (Amazon, LinkedIn, and Google). We handle JS, CAPTCHAs, retries, geotargeting, and rate limits ethically and with compliance in mind.

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

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

Frequently, the API has higher latencies than sending requests directly to a normal proxy, as average latencies typically range from 4 to 12 seconds (depending on the website) and single requests can sometimes take up to 60 seconds. However, this is compensated by the fact that our average success rate is around 99%.

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.

With ScraperAPI, your agents will have a 99.99% success rate. We automatically handle retries, rotate IPs, and handle CAPTCHAs. If a request fails, we provide detailed error messages and automatic fallback options. Plus, our support team monitors for issues 24/7 to keep your agents running smoothly.

Ready to Give Your AI Agents Web Scraping Superpowers?

Join 10,000+ developers building reliable LangChain agents with ScraperAPI.