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ProResearch5 节点
评分 73

Market Research Automation

Define a market topic — Agent Reach sweeps news, reports, and analyst content, Trafilatura cleans sources, LLM synthesises findings into a structured research report with market sizing, trends, and competitor profiles.

运行此模板 → Fork 并自定义

这个工作流做什么？

投入你的Agent Reach——管线自动执行 5 个步骤：Agent Reach → Trafilatura → LLM Reasoning → LLM Reasoning → Python-DOCX——最终输出Python-DOCX。每个节点都可见、可审计、可替换。

系统流程

1. Agent Reach — Multi-source retrieval agent that sweeps public platforms and news 2. Trafilatura — Boilerplate-free main-content extraction from any web page 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 5. Python-DOCX — Renders the final Word document with headings, tables and styling

管线分解

Agent Reach topic Trafilatura URLs LLM Reasoning text LLM Reasoning json Python-DOCX markdown
  1. Agent Reach agent-reach — Multi-source retrieval agent that sweeps public platforms and news topic → json
  2. Trafilatura trafilatura — Boilerplate-free main-content extraction from any web page URLs → text
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output text → json
  4. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output json → markdown
  5. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling markdown → docx

工作流信誉评分

基于执行次数、成功率、更新频率、组件质量和用户评分。

73总分
★★★★★ 4.4
▶执行次数
30
✓成功率
100
↻更新频率
70
⚙组件质量
90
★用户评分
88

基于执行次数、成功率、更新频率、组件质量和用户评分。

使用组件

Agent Reachagent-reach

Multi-source retrieval agent that sweeps public platforms and news

FlowSync proprietary
Trafilaturatrafilatura

Boilerplate-free main-content extraction from any web page

adbar/trafilatura ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Python-DOCXpython-docx

Renders the final Word document with headings, tables and styling

python-openxml/python-docx ↗

与 n8n / Zapier 有什么不同？

与通用工作流构建器不同，FlowSync 工作流在每个节点中预置了 AI 能力——OCR、LLM 推理、转录、超分辨率——不仅仅是 webhook 触发器。每个节点都白盒可审计：你能看到输入、输出和配置。部署即时——无需自托管，无需逐节点配置 API 密钥。

使用场景

  • New market entry research
  • Industry landscape analysis
  • Competitive positioning study
  • Investment due diligence research

作者与来源

此工作流由 FlowSync 团队维护。所有组件均为开源或商业授权。各组件的源码链接见上方"组件"部分。

定价: 提供免费层 · PRO tier · 官方

数据处理

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync 工作流市场 · 73 分信誉评分 · 30% 执行率 · 100% 成功率 · 5 节点白盒管线 · FlowSync Official 维护

准备好运行了吗？

Define a market topic — Agent Reach sweeps news, reports, and analyst content, Trafilatura cleans sources, LLM synthesises findings into a structured research report with market sizing, trends, and competitor profiles.

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