AI & researchChain LLMChain SummarizationHTTP RequestLM Chat Google GeminiManual Trigger

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI

Configured with Chain LLM, Chain Summarization, HTTP Request, LM Chat Google Gemini. Review the connections and setup before adapting this template.

Download workflow JSON View files on GitHub ↗8 nodes · MIT

Workflow preview

Node categories in this workflow

Trigger
AI & models
Web / API
Transform

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
Node	Category	Type	Operation
When clicking ‘Test workflow’	Trigger	Manual Trigger	See node parameters
Google Gemini Chat Model For Summarization	AI & models	LM Chat Google Gemini	See node parameters
Google Gemini Chat Model2	AI & models	LM Chat Google Gemini	See node parameters
Summary Webhook Notifier	Web / API	HTTP Request	See node parameters
Wikipedia Web Request	Web / API	HTTP Request	POST
LLM Data Extractor	AI & models	Chain LLM	See node parameters
Concise Summary Generator	AI & models	Chain Summarization	See node parameters
Set Wikipedia URL with Bright Data Zone	Transform	Edit Fields	See node parameters

Setup

Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

googlePalmApi
httpHeaderAuth

Workflow notes

Note

This template deals with the Wikipedia data extraction and summarization of content with the Bright Data.

The LLM Data Extractor is responsible for producing a human readable content.

The Concise Summary Generator node is responsible for generating the concise summary of the Wikipedia extracted info.

Please make sure to update the Wikipedia URL with Bright Data Zone. Also make sure to set the Webhook Notification URL.

LLM Usages

Google Gemini Flash Exp model is being used to demonstrate the data extraction and summarization aspects.

Basic LLM Chain is being used for extracting the html to text

Summarization Chain is being used for summarization of the Wikipedia data.

Note - Replace Google Gemini with the Open AI or suitable LLM providers of your choice.

Set Wikipedia URL with Bright Data Zone

Set the URL which you are interested to scrap the data

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI

Purpose and structure

This folder contains the Extract & Summarize Wikipedia Data with Bright Data and Gemini AI workflow. Its executable nodes use chainLlm, chainSummarization, httpRequest, lmChatGoogleGemini, manualTrigger, set. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

When clicking ‘Test workflow’

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Manual/1979_Manual_Stickynote_Automation_Webhook.json MIT; preserve source notices.

Canvas section labels

These name areas of the original canvas; they do not include explanatory instructions.

Basic LLM Chain Data Extractor
Summarization Chain

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