Fetch URL Content - Perplexity

2026-02-04 · Source: perplexity.ai via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, short

Summary

The Perplexity "fetch_url" tool enables AI agents to retrieve and extract full content from specific, known URLs during an API request. It differs from "web_search", which discovers relevant pages, by focusing on inspecting pre-identified articles or documents. Developers can integrate "fetch_url" using Python, Typescript, or cURL, specifying "max_urls" from 1 to 10. The tool returns "fetch_url_results" with the URL, title, and extracted snippet. Error handling addresses paywalls, redirects, non-HTML content, and timeouts, with the API explaining unavailable content. Pricing is \$0.50 per 1,000 invocations, plus standard model token usage.

Key takeaway

For AI Engineers building agentic applications, understanding the distinction between "fetch_url" and "web_search" is crucial for optimizing performance and cost. Use "fetch_url" when your application already knows the exact URL to inspect, ensuring the model gets full page content efficiently. Reserve "web_search" for initial discovery, then chain "fetch_url" for deep dives into specific results. This approach streamlines information retrieval and manages token usage effectively.

Key insights

The "fetch_url" tool retrieves full page content from specified URLs for AI model processing.

Principles

• Use "fetch_url" for known URLs, "web_search" for discovery.
• Combine "web_search" and "fetch_url" for multi-step research.

Method

Implement "client.responses.create" with "model", "input", "tools=[{"type": "fetch_url"}]", and "instructions".

In practice

• Summarize specific articles or documents.
• Inspect known sources for detailed context.
• Integrate for multi-step research workflows.

Topics

• Perplexity API
• fetch_url
• web_search
• AI Agents
• URL Content Extraction
• Tool Orchestration

Best for: AI Engineer, Software Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by perplexity.ai via Google News.