Get 20% off the Enterprise Package And Avoid Fixing Broken Scrapers: End-Of-Year Promo
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
Say goodbye to complex infrastructure and start focusing on building intelligent agents that work seamlessly.
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.
LLM-Ready Data That Boosts Agent Reliability
Clean markdown formatting and structured JSON output optimized for LLMs. Your agents understand web data better.
Two Lines of Code Setup
Pip install, add API key, done. No complex configuration, no proxy management, no headaches. Just efficient web scraping.
Pay only for successful requests
Eliminate manual proxy management, server maintenance, and DevOps overhead—ScraperAPI handles IP rotation, headless browsers, and CAPTCHAs for you.
Global Data Access
Scrape from 150+ countries with geo-targeted IPs. Ideal for market research, price monitoring, and localized content creation.
Three powerful capabilities, one simple integration
From basic chatbot to intelligent web agent in just under 5 min
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
With ScraperAPI x LangChain
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.
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.
Join 10,000+ developers building reliable LangChain agents with ScraperAPI.