Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.3
This n8n workflow automatically generates weekly Instagram Reel content ideas for a D2C brand using fresh Google News trends. In this example, the workflow is configured for a skincare brand called...
@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.limit, n8n-nodes-base.rssfeedread, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.scheduletrigger, n8n-nodes-base.notion, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jitesh Dugar.
Original n8n.io sourceThis n8n workflow automatically generates weekly Instagram Reel content ideas for a D2C brand using fresh Google News trends.
In this example, the workflow is configured for a skincare brand called GlowCare, but it can be reused for any D2C brand by simply changing the RSS URL and updating the brand details inside the AI prompt.
Any D2C brand can use this workflow by simply changing the Google News RSS URL based on their niche.
For example:
The AI prompt can also be slightly updated with the brand name, product category, target audience, and main product.
It runs every Monday at 8 AM, fetches recent niche-related articles from Google News RSS, selects the top 7 trend articles, combines them into one dataset, and sends the data to an AI model.
The AI then creates 7 ready-to-use Instagram Reel ideas with posting days, hooks, captions, hashtags, reel formats, and explanations.
Finally, the generated weekly content plan is saved directly into a Notion content calendar.
This node automatically starts the workflow every week.
The Schedule Trigger is configured to run the workflow weekly.
In this workflow, it runs every Monday at 8 AM.
This means the workflow can generate a fresh weekly content plan without any manual action.
This node collects recent trend articles from Google News RSS.
The RSS Feed Read node reads data from a Google News RSS search URL.
In this workflow, the RSS URL is configured for a skincare brand and searches for topics like:
However, this workflow can be used for any D2C brand by changing only the RSS URL keywords.
For example, a fashion brand can replace the RSS search terms with fashion-related keywords, while a fitness brand can use workout or health-related keywords.
This gives the workflow fresh niche-specific trend data that can be used as inspiration for content ideas.
This node keeps only the first 7 trend articles from the RSS results.
The RSS node may return many articles.
The Limit node reduces the number of items and allows only 7 articles to continue in the workflow.
This keeps the workflow focused and prevents too much unnecessary trend data from being sent to the AI model.
This node combines all selected trend articles into one single field.
Normally, n8n treats every RSS article as a separate item.
The Aggregate node collects all 7 article items and stores them together inside one field called:
trends
This makes it easier to send all trend articles together to the AI node in one clean input.
This node uses AI to turn the skincare trend data into content ideas.
The Basic LLM Chain receives the combined trend data from the previous node.
It sends that data to the OpenAI Chat Model with a detailed prompt.
The prompt tells the AI to act as a senior social media strategist for a D2C skincare brand called GlowCare.
The AI is asked to generate exactly 7 Instagram Reel ideas.
For each idea, it creates:
The output is generated in clean markdown format.
This node saves the AI-generated content plan into a Notion database.
The Notion node creates a new page inside the selected Notion content calendar database.
The page title is generated dynamically using the current date.
Example title:
Weekly Skincare Content Ideas - 19 May 2026
The node also fills the Date property with the current date.
The AI output is saved into Notion as text blocks.
To avoid Notion’s text block character limit, the content is split using:
$json.text.slice(0, 1900)
and
$json.text.slice(1900, 3800)
This node stores the final weekly content ideas in a structured content calendar so the team can review and use them later.
At the end of the workflow, a new Notion page is created with 7 Instagram Reel ideas.
Each idea includes:
This gives a skincare brand a complete weekly Instagram Reel plan based on fresh trends.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate weekly Instagram Reels ideas from Google News with OpenAI and Notion |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Content Creation, Multimodal AI |
| Author | Jitesh Dugar |
| Published | 19 May 2026 |
Use the JSON export at /data/workflows/15808/15808.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This n8n workflow automatically generates weekly Instagram Reel content ideas for a D2C brand using fresh Google News trends. In this example, the workflow is configured for a skincare brand called...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.