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Generate Company Stories from LinkedIn with Bright Data & Google Gemini

Configured with Chain Summarization, Document Default Data Loader, HTTP Request, Information Extractor, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
TriggerWhen clicking ‘Testworkflow’Manual TriggerAI & modelsGoogle Gemini ChatModelLM Chat Google GeminiFiles / mediaDefault Data LoaderDocument Default Data Lo…TransformRecursive CharacterText SplitterText Splitter Recursive …RoutingIfIfTransformSet Snapshot IdEdit FieldsWeb / APIDownload SnapshotHTTP RequestTransformSet LinkedIn URLEdit FieldsAI & modelsGoogle Gemini ChatModel1LM Chat Google GeminiRoutingCheck on the errorsIfWeb / APIPerform LinkedIn WebRequestHTTP RequestWeb / APICheck Snapshot StatusHTTP RequestAI & modelsLinkedIn Data ExtractorInformation ExtractorAI & modelsConcise SummaryGeneratorChain SummarizationWeb / APIWebhook Notifier forData ExtractorHTTP RequestWeb / APIWebhook Notifier forSummary GeneratorHTTP RequestWaitWait for 30 secondsWait

Node categories in this workflow

  • Trigger
  • AI & models
  • Files / media
  • Transform
  • Routing
  • Web / API
  • Wait

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
NodeCategoryTypeOperation
When clicking ‘Test workflow’TriggerManual TriggerSee node parameters
Google Gemini Chat ModelAI & modelsLM Chat Google GeminiSee node parameters
Default Data LoaderFiles / mediaDocument Default Data LoaderSee node parameters
Recursive Character Text SplitterTransformText Splitter Recursive Character Text SplitterSee node parameters
IfRoutingIfSee node parameters
Set Snapshot IdTransformEdit FieldsSee node parameters
Download SnapshotWeb / APIHTTP RequestSee node parameters
Set LinkedIn URLTransformEdit FieldsSee node parameters
Google Gemini Chat Model1AI & modelsLM Chat Google GeminiSee node parameters
Check on the errorsRoutingIfSee node parameters
Perform LinkedIn Web RequestWeb / APIHTTP RequestPOST
Check Snapshot StatusWeb / APIHTTP RequestSee node parameters
LinkedIn Data ExtractorAI & modelsInformation ExtractorSee node parameters
Concise Summary GeneratorAI & modelsChain SummarizationSee node parameters
Webhook Notifier for Data ExtractorWeb / APIHTTP RequestSee node parameters
Webhook Notifier for Summary GeneratorWeb / APIHTTP RequestSee node parameters
Wait for 30 secondsWaitWaitSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. 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

Google Gemini Chat Model

Gemini Experimental Model

Note

Note

Deals with the LinkedIn data extraction using the Bright Data Web Scrapper API.

The information extraction and summarization are being used to demonstrate the usage of the N8N AI capabilities.

Please make sure to set the LinkedIn URL and Webhook Notification URL

LLM Usages

LLM Usages

Google Gemini Flash Exp model is being used.

Information extraction is being used for formatting the LinkedIn response to produce a story.

Summarization Chain is being used for summarization of the content

Generate Company Stories from LinkedIn with Bright Data & Google Gemini

Generate Company Stories from LinkedIn with Bright Data & Google Gemini

Purpose and structure

This folder contains the Generate Company Stories from LinkedIn with Bright Data & Google Gemini workflow. Its executable nodes use chainSummarization, documentDefaultDataLoader, httpRequest, if, informationExtractor, lmChatGoogleGemini, manualTrigger, set, textSplitterRecursiveCharacterTextSplitter, wait. 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/1960_Manual_Stickynote_Create_Webhook.json MIT; preserve source notices.

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