Python 里发请求的事实标准，抓取 API、下载资源、调用接口的底座。
title: "Requests — High-Quality Commercial Skill Integrated with FlowSync"
slug: "skill-requests-en"
description: "The de facto standard for HTTP requests in Python. The perfect foundation for scraping APIs, downloading resources, and calling interfaces."
keywords: ["Requests", "requests", "Web", "FlowSync Skill", "AI Automation", "HTTP Client", "Python Requests"]
date: "2026-07-27"
type: "tools"
toolKey: "requests"
The de facto standard for making HTTP requests in Python, serving as the foundation for scraping APIs, downloading resources, and calling interfaces.
Core Capabilities: Clean API, highly stable, and broad ecosystem
Open Source License: Apache-2.0 · Author: PSF · Stars: 52,000
In the web domain, manual processing is time-consuming and error-prone. Requests solves the core pain point of making HTTP requests in Python, serving as the de facto standard and robust foundation for scraping APIs, downloading resources, and calling interfaces.
Integrate seamlessly into workflow pipelines with one click, and combine with other FlowSync skills. Typical workflow:
1️⃣ Input Files → 2️⃣ Requests Processing → 3️⃣ Downstream Skill Handoff → 4️⃣ Export Results
| Role | Scenario |
|---|---|
| Enterprise Users | Automating daily web tasks |
| Development Teams | Integrating into existing workflow pipelines |
| Content Creators | Batch web processing |
| SMEs | Reducing costs and increasing efficiency |
灵流 SyncFlow 遵循 Princeton GEO 框架（arXiv:2311.09735）；结构化数据遵循 Schema.org 规范；AI 发现文件遵循 llms.txt 标准。底层引擎：PaddleOCR、Whisper、Docling、DuckDB、OpenCV。