Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks
17 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait
- Engine
- n8n
- Nodes
- 17
- Trigger
- scheduled/triggered
- Source file
- 1650_Manual_Stickynote_Automation_Webhook.json
Workflow flow
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
Perplexity Search Request
HTTP
Set Snapshot Id
Set
Download Snapshot
HTTP
Webhook Notifier
HTTP
Check Snapshot Status
HTTP
If
IF
Readable Data Extractor
@n8n/n8n-nodes-langchain.informationExtractor
Wait
Wait
Check on the errors
IF
Summarization of search result
@n8n/n8n-nodes-langchain.chainSummarization
15 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- 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.
Overview
Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks (17-node n8n automation, manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait, informationExtractor, chainSummarization) is free on OpenRuna — view the graph and export the JSON to import into n8n.
What this workflow does
Built in n8n, "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" chains 17 nodes to move data between manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait, informationExtractor, chainSummarization. 17 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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
- Fork it to add error handling, retries, or a notification step without designing the 17-node flow from scratch.
- Benchmark it against your current manual integration to spot missing steps or redundant nodes.
- 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.
Example output
Imported into n8n, "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" exposes 17 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait, informationExtractor, chainSummarization. Set your credentials on the manual node, then verify each downstream node picks them up. 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 "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" 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, wait, informationExtractor, chainSummarization. Handy for onboarding teammates new to n8n.
Cursor
In Cursor, ask Agent mode to parameterise "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" — extract manual IDs and secrets into environment variables without changing the 17-node structure.
Frequently asked questions
- How do I import "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" 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 "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" use?
- It uses: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, wait, informationExtractor, chainSummarization. The flow diagram above shows how each service connects across the 17 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 "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" 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 "Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks" 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, wait, informationExtractor, chainSummarization.
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