Goodreads Quote Extraction with Bright Data and Gemini — n8n 工作流

低 复杂度⚡ 触发器5 个节点🏷️ Miscellaneous👁 119 次查看作者：Dvir Sharon

概览

Goodreads Quote Extraction with Bright Data and Gemini

This workflow demonstrates how to fetch data specifically from Goodreads web pages using Bright Data and then extract specific information (quotes) from that data using a Google Gemini AI model.

How it works

The workflow is triggered manually. It sends a request to a Bright Data collector to scrape data from a predefined list of Goodreads URLs. The collected text data from Goodreads is then passed to a Google Gemini AI node. The AI node p

使用的节点

HTTP RequestGoogle Gemini Chat ModelInformation Extractor

工作流预览

model
⚡
W
When clicking ‘Test work…
S
Set the fields
Google Gemini Chat Model
Quotes Extractor
Perform Bright Data Web …
5 nodes4 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 5 个节点, connecting httprequest, informationextractor, lmchatgooglegemini。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (5)

HT

HTTP Request

httpRequest

#1
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#2
IN

Information Extractor

n8n-nodes-langchain.informationExtractor

#3

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 goodreads-quote-extraction-with-bright-data-and-gemini 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "Goodreads Quote Extraction with Bright Data and Gemini", "nodes": [...], ...}

集成

httprequestinformationextractorlmchatgooglegeminimanualtriggerset

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点5
复杂度low
触发器trigger
查看次数119
分类Miscellaneous

创建者

Dvir Sharon

Dvir Sharon

@dvirsharon

标签

httprequestinformationextractorlmchatgooglegeminimanualtriggerset
⚡

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