Crawleo

Real-Time Search, Crawling, and Web Intelligence API for AI Developers

Crawleo is a privacy-first web search and crawling API built for developers working with LLM apps, RAG pipelines, AI agents, automation tools, and real-time data workflows.

Instead of forcing developers to combine separate search APIs, crawlers, proxies, HTML cleaning scripts, Markdown converters, and agent integrations, Crawleo provides one API layer for accessing live web data in formats that are easier to use inside AI systems.

Core Crawleo Endpoints

Search API
The Crawleo Search API allows developers to run real-time web searches and receive structured search results that can be used inside AI products, research tools, monitoring systems, and automation workflows.

It supports parameters for controlling the query, number of pages, result count, language, country, geolocation, and device type. Developers can also enable automatic crawling, so Crawleo can search the web and crawl the returned result pages in the same workflow.

This is useful for:

• LLM apps that need fresh web context

• RAG pipelines that need real-time sources

• AI agents that need to search before answering

• SEO and competitor research tools

• Monitoring and alerting workflows

• No-code automations that need live web data

Crawler API
The Crawleo Crawler API allows developers to crawl one or multiple URLs directly and extract clean page content. It is useful when the developer already has target URLs and wants to convert those pages into AI-ready formats.

The crawler can return outputs such as:

• Raw HTML

• Cleaned HTML

• Plain text

• Markdown

This makes it easier to prepare web pages for LLM prompts, embedding pipelines, content analysis, summarization, and knowledge-base ingestion.

Output Formats Built for AI Workflows

Crawleo focuses on returning content in practical formats developers can actually use:

• Markdown for RAG, LLM prompts, documentation ingestion, and knowledge bases

• Plain text for lightweight extraction and classification

• HTML for structured parsing and advanced processing

• Raw HTML when developers need the original page source

The goal is to reduce the amount of custom post-processing developers need to write before passing web content into an AI workflow.

Integrations

Crawleo is also built around modern AI and automation integrations.

MCP Integration
Crawleo supports the Model Context Protocol, allowing AI assistants and IDEs to connect directly to Crawleo as a web-search and crawling tool.

MCP endpoint:
https://api.crawleo.dev/mcp

This allows tools such as Claude, Cursor, GitHub Copilot, Windsurf, and other MCP-compatible clients to use Crawleo for live web search and page crawling.

Available MCP tools include:

• web.search

• web.crawl

This is especially useful for AI agents that need to retrieve live information, inspect web pages, or use external context before producing answers or taking actions.

REST API
For developers building custom apps, backends, scripts, dashboards, and internal tools, Crawleo can be used directly through its REST API.

REST API base:
https://api.crawleo.dev/api/v1

This gives developers full control over request parameters, response handling, and integration into their own systems.

LangChain Integration
Crawleo also provides a LangChain integration for developers building agentic or RAG-based applications with LangChain.

Package: langchain-crawleo

It exposes tools such as:

• CrawleoSearch

• CrawleoCrawler

This makes it easier to plug Crawleo into LangChain workflows without manually wrapping the API.

Who Crawleo Is For

Crawleo is useful for:

• AI developers

• RAG application builders

• AI agent developers

• Automation builders

• No-code developers using tools like n8n, Zapier, and Make

• SEO and research tools

• Data extraction workflows

• Internal business intelligence systems

• Developers who need live web data without maintaining scraping infrastructure

Why We Built It

Real-time web data is becoming a core layer for AI products. But the infrastructure behind it is still fragmented.

Developers often need to manage:

• Search APIs

• Crawlers

• Proxies

• Anti-bot handling

• JavaScript rendering

• HTML cleanup

• Markdown conversion

• Rate limits

• API integrations

• Agent tooling

Crawleo brings these pieces closer together so developers can focus on building products instead of maintaining web data infrastructure.

Crawleo Links

Website: https://www.crawleo.dev/
Docs: https://www.crawleo.dev/docs
API Base: https://api.crawleo.dev/api/v1
MCP Endpoint: https://api.crawleo.dev/mcp
GitHub: https://github.com/Crawleo
Product Hunt: https://www.producthunt.com/products/crawleo
LinkedIn: https://www.linkedin.com/company/crawleo
X/Twitter: https://x.com/crawleo_dev