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Auto-Tag Blog Posts in WordPress with AI

32 nodes · lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches

Engine
n8n
Nodes
32
Trigger
scheduled/triggered
Source file
1980_Splitout_Code_Automation_Webhook.json

Workflow flow

IntegrationsLmChatOpenAiOutputParserAutofixingOutputParserStructuredRssFeedReadSplit OutSplitInBatchesHTTPFilterAggregateWordPressExecuteWorkflowChainLlm+7 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Auto-fixing Output Parser

@n8n/n8n-nodes-langchain.outputParserAutofixing

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

RSS Feed Trigger

RssFeedRead

TRIGGER

Demo Usage in Another Workflow

ExecuteWorkflow

Generate tags for article

@n8n/n8n-nodes-langchain.chainLlm

MOCK article

Set

Auto-Tag Posts in WordPress

ExecuteWorkflow

Return article details

Set

Wordpress

WordPress

Combine slugs

Aggregate

Return missing tags

Code

If

IF

Split Out

Split Out

POST WP tags

HTTP

SET initial record

Set

GET updated WP tags

HTTP

Combine tag_ids

Aggregate

Loop over articles

SplitInBatches

GET WP tags

HTTP

Keep matches

Filter

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

Browse by integration

lmChatOpenAioutputParserAutofixingoutputParserStructuredrssFeedReadsplitOutsplitInBatcheshttpRequestfilteraggregatewordpressexecuteWorkflowchainLlm
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

Free n8n workflow: Auto-Tag Blog Posts in WordPress with AI. 32 nodes across lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "Auto-Tag Blog Posts in WordPress with AI" chains 32 nodes to move data between lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter. 32 nodes · lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches 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 32-node flow from scratch.
  • Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
  • Study how data moves from lmChatOpenAi to outputParserAutofixing before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.

Example output

Imported into n8n, "Auto-Tag Blog Posts in WordPress with AI" exposes 32 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter. Reconnect the lmChatOpenAi credential first, then walk the remaining nodes top to bottom. 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 "Auto-Tag Blog Posts in WordPress with AI" JSON into a plain-English runbook, node by node. It can flag where lmChatOpenAi 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 lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Auto-Tag Blog Posts in WordPress with AI" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 32-node structure.

Frequently asked questions

How do I import "Auto-Tag Blog Posts in WordPress with AI" 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 "Auto-Tag Blog Posts in WordPress with AI" use?
It uses: lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter. The flow diagram above shows how each service connects across the 32 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 lmChatOpenAi and outputParserAutofixing credentials in n8n after import.
What trigger type does "Auto-Tag Blog Posts in WordPress with AI" 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 "Auto-Tag Blog Posts in WordPress with AI" 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 lmChatOpenAi, outputParserAutofixing, outputParserStructured, rssFeedRead, splitOut, splitInBatches, httpRequest, filter.

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