ScraperAPI has acquired Traject Data
ScraperAPI has acquired Traject Data
AI is only as good as the data it can reach. ScraperAPI turns any public URL into clean, structured data, handling the proxies, headless browsers, and CAPTCHAs so you can focus on building. Feed RAG pipelines and training sets through MCP, CLI, LangChain, and LlamaIndex, or power no-code workflows in Claude, n8n, and Zapier.
No card required. Connect your first workflow in minutes.
Up to 99.99% success rate
40M+ IPs
150+ countries
Build automated workflows on live web data: price monitoring, market research, SERP tracking, and lead generation. ScraperAPI delivers the clean, structured data behind each one.
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.
One reliable web scraping layer between the open web and your AI agents and workflows.
The same reliable web access runs under every integration, with proxies, CAPTCHAs, and rendering handled for you
MCP server
For MCP clients
Give any MCP client access to live web data. Pull Amazon and Walmart prices, SERP results, or read any public URL. Your agent gets the data, not the page.
LangChain
For Python developers
Add web access to your LangChain agents in two lines. They reach any public URL and get clean text, markdown, or structured JSON from Amazon, Google, eBay, Walmart, and Redfin. Your agent gets the data, not page.
LlamaIndex
For RAG and indexing
Add web access to your LlamaIndex agents in two lines. Pull any URL as clean text or markdown, plus structured JSON from Amazon, Google, eBay, Walmart, and Redfin, ready to chunk, embed, and load into your vector store.
CLI
For the terminal
Reach any page from your terminal in one command: raw HTML, text, markdown, or parsed JSON. See the exact credit cost before you run it. Feed the clean output straight to an LLM, RAG pipeline, or training set.
Claude plugin
For Claude Code and Cowork
Give Claude live web data: search Google, pull prices, or read any page. Add the skills pack for ready-made tasks like price monitoring and market research.
n8n node
For workflow builders
Drop ScraperAPI into your n8n workflows as a native node. Pull live prices, search results, and listings on a schedule, and connect with over 1,000 different apps, data sources, and services.
AI agents need current web data, structured outputs, and reliable access to protected sites. ScraperAPI delivers all three through one AI web scraping API, with no proxies, browsers, or parsers to maintain.
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% success rate keeps your agents and workflows running, even on protected sites like Amazon and Google. When a site updates its anti-bot protection, ScraperAPI adapts automatically, so your automation keeps going when target websites change.
Data your AI can actually use
ScraperAPI returns clean markdown and structured JSON, so your agent gets the data, not the page. It acts on the results directly, with no cleanup step and fewer LLM tokens to process.
Connect in minutes, with or without code
No-code teams connect through n8n or Claude; developers use the 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.
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 returns raw HTML, clean markdown, and structured JSON, so your agent gets the data, not the page. Structured outputs 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. Teams use ScraperAPI for web scraping for machine learning — building custom datasets for LLM training, fine-tuning, and RAG. Point it at any URL and get back clean text, markdown, or structured JSON that you can store as JSONL or load straight into a vector database, with proxy rotation, JavaScript rendering, and retries handled for you.
Building your own scraper means maintaining proxies, headless browsers, and parsers as target sites change. A web scraping API like ScraperAPI handles all of that behind a single endpoint, so your AI web scraping stays reliable without the infrastructure. You get a higher success rate and clean, structured output instead of raw HTML to untangle.
Connect ScraperAPI to Claude, n8n, LangChain, and more. Pull structured web data into AI agents, automated workflows, and applications in minutes.
No card required. Connect your first workflow in minutes.
