Home › RAG and Search › Tavily Crawl API

Tavily Crawl API

Website crawling API for high-quality, low-latency information retrieval; resources for beta testers.

Key Information

  • Category: RAG and Search
  • Source: Github
  • Last updated: January 09, 2026

Structured Metrics

No structured metrics captured yet.

Links

Visit official website

Canonical source: https://github.com/tavily-ai/tavily-crawl-beta-test

Related Tools

Auto-Deep-Research

An open-source, fully-automated personal AI assistant that serves as a cost-effective alternative to OpenAI's Deep Research. Built on the AutoAgent framework, it supports integration with various LLMs, function-calling interactions, file uploads, and a one-click launch for effortless research automation.
Crawl4AI

An open-source, LLM-friendly tool designed to crawl and extract data, facilitating content aggregation for AI applications.
DeepSearcher

DeepSearcher is an open-source tool that leverages multiple large language models and vector databases to perform private data search, evaluation, and reasoning, providing accurate answers and comprehensive reports for enterprise knowledge management and intelligent Q&A systems.
Firecrawl

Firecrawl is a web data API built for AI that crawls and scrapes entire websites and pages, returning LLM‑ready outputs such as clean Markdown, structured JSON, HTML, screenshots, links, and metadata. It supports dynamic, JS‑rendered sites with proxies and anti‑bot handling, offers endpoints for crawl, scrape, map, search, and extract, and includes SDKs (Python/Node) plus integrations with LangChain, LlamaIndex, Dify, and Langflow. A hosted API is available with optional self‑hosting.
GPT Researcher

An LLM-based autonomous agent that conducts deep local and web research on any topic and generates long reports with citations, with support for connecting to specialized data sources.
GPT-RAG

GPT-RAG is an enterprise-grade Retrieval-Augmented Generation (RAG) solution accelerator designed for integrating Azure Cognitive Search and Azure OpenAI services to power ChatGPT-style and Q&A experiences. It provides a modular architecture featuring data ingestion, an orchestrator (with options for Semantic Kernel functions or AutoGen-driven agentic workflows), and customizable front-end interfaces for efficient deployment in secure, enterprise environments.