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Generate Company Stories from LinkedIn with Bright Data & Google Gemini

19 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
1960_Manual_Stickynote_Create_Webhook.json

Workflow flow

IntegrationsManualLmChatGoogleGeminiDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterHTTPInformationExtractorChainSummarizationWait@n8n/n8n-nodes-langchain.lmChatGoogleGemini@n8n/n8n-nodes-langchain.documentDefaultDataLoader@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitterIF+3 more
100%
TRIGGER

When clicking ‘Test workflow’

Manual

Google Gemini Chat Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Recursive Character Text Splitter

@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

Google Gemini Chat Model1

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Set LinkedIn URL

Set

Perform LinkedIn Web Request

HTTP

Set Snapshot Id

Set

If

IF

LinkedIn Data Extractor

@n8n/n8n-nodes-langchain.informationExtractor

Check on the errors

IF

Concise Summary Generator

@n8n/n8n-nodes-langchain.chainSummarization

Webhook Notifier for Data Extractor

HTTP

Wait for 30 seconds

Wait

Download Snapshot

HTTP

Check Snapshot Status

HTTP

Webhook Notifier for Summary Generator

HTTP

17 steps · flows top to bottom, branches left to right

Browse by integration

manuallmChatGoogleGeminidocumentDefaultDataLoadertextSplitterRecursiveCharacterTextSplitterhttpRequestinformationExtractorchainSummarizationwait
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Generate Company Stories from LinkedIn with Bright Data & Google Gemini (19-node n8n automation, manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

Built in n8n, "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" chains 19 nodes to move data between manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait. 19 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor Execution begins at the scheduled/triggered trigger and flows through the 19 configured nodes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Study how data moves from manual to lmChatGoogleGemini before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
  • Import "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" into n8n, reconnect credentials for manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait, and run the same automation in your own workspace.
  • Use it as a starting template when wiring manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait. Open each node after import to map credentials to your own manual and lmChatGoogleGemini accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" JSON into a plain-English runbook, node by node. It can flag where manual rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" — extract manual IDs and secrets into environment variables without changing the 19-node structure.

Frequently asked questions

How do I import "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" use?
It uses: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait. The flow diagram above shows how each service connects across the 19 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and lmChatGoogleGemini credentials in n8n after import.
What trigger type does "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Generate Company Stories from LinkedIn with Bright Data & Google Gemini" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, informationExtractor, chainSummarization, wait.

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