GitHub - firecrawl/firecrawl: The context API to search, scrape, and interact with the web at scale. 🔥
The context API to search, scrape, and interact with the web at scale. 🔥 - firecrawl/firecrawl
API Documentation
Summary
This documentation details the Gemini API's URL context tool, which allows AI models to access and process information directly from provided web links. It enables developers to automate complex tasks such as data extraction, document comparison, and content synthesis by using URLs as real-time context.
Highlights
- Enables models to retrieve and analyze content from specific URLs to inform and enhance responses
- Supports diverse use cases including data extraction, document comparison, and code analysis
- Can be combined with Google Search for broader or deeper information retrieval
- Provides practical implementation examples in Python, JavaScript, and cURL
auto-generated
Context
Audience
Developers and AI Engineers
DomainArtificial Intelligence
FormatTechnical Documentation
AccessFree online
Source Overview
The URL context tool in the Gemini API enables models to retrieve and use content from specified URLs as additional context for prompts.
It supports extracting, comparing, and synthesizing information from multiple web pages, and can be combined with Google Search for broader or deeper analysis. Content from URLs is subject to moderation and token limits, with usage and costs determined by the selected model.
Topics
Related
Gemini APIWeb ScrapingLLM WorkflowsGoogle AI for Developers
