jina-cli

Jina CLI is an essential utility for developers, researchers, and AI agents requiring efficient web data extraction and search capabilities. By leveraging the Jina AI Reader API, this tool simplifies the process of transforming complex, unstructured web content from blogs, news sites, and social media platforms—such as X (Twitter)—into clean, LLM-ready formats like Markdown, plain text, or raw HTML. It acts as a bridge between the live web and large language models, ensuring that context retrieval is accurate and token-efficient.

• Perform AI-powered web searches with automated content extraction from top results, perfect for building research pipelines or automated data collection.
• Advanced content extraction features including CSS selector targeting, element waiting for dynamic SPA content, cookie forwarding, and optional image captioning via VLM for social media links.
• Support for batch processing via URL lists in text files, allowing for large-scale data gathering in automated workflows.
• Highly configurable environment with support for proxy settings, custom API base URLs, request timeouts, and API key management to ensure better rate limits.
• Native binary support for Linux, macOS, and Windows, with specialized installation pathways for integration into AI-native environments like OpenClaw and Claude Code.
• Flexible output options tailored for machine readability, supporting native JSON responses or human-readable Markdown for direct documentation.

Usage and Constraints:

• Ideal for building RAG (Retrieval-Augmented Generation) pipelines, content curation workflows, and automated web research assistants.
• The tool requires a network connection to reach Jina AI Reader and Search APIs; API keys are recommended for high-volume requests.
• For complex dynamic websites, utilize the --wait-for-selector or --post options to ensure the DOM is fully rendered before extraction.
• The CLI is built in Go, ensuring a small footprint, zero external dependencies besides Cobra, and fast execution for local or containerized agent environments.