AI Tools Content Aggregation and Formatting Workflow
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This n8n workflow aggregates markdown and tweet content from an S3 bucket, formats it into a standardized structure, and prepares it for further processing. It uses S3, HTTP Request, and Filter nodes to manage data ingestion.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of collecting and formatting content from an S3 bucket. It specifically targets two types of content: markdown files and tweets. The workflow first searches for relevant files in the S3 bucket based on date and file type. It then retrieves metadata and content for each identified file. Crucially, it filters out certain content types (like newsletters) and formats the remaining markdown and tweet data into a consistent structure. This structured data can then be used for various downstream applications such as content generation, analysis, or archiving.
This workflow solves the problem of manually collecting and standardizing diverse content sources, making it easier to process and leverage information from AI tools efficiently.
Key Features
- Dynamically searches S3 buckets for markdown and tweet files based on date prefixes.
- Retrieves detailed metadata and content for each file using HTTP requests.
- Filters out specific content types (e.g., newsletters) to ensure relevant data processing.
- Formats both markdown and tweet content into a unified, structured output.
- Includes comprehensive metadata extraction for each content type, such as authors, URLs, and social media engagement metrics.
How To Use
- Configure the
R2 - data-ingestionS3 credentials in n8n. - Ensure your S3 bucket
data-ingestioncontains markdown files and tweet data organized by date prefixes. - Adjust the
prefixin thesearch_markdown_objectsandsearch_tweetsnodes to match your S3 organization structure. - The
get_markdown_object_infoandget_tweet_object_infonodes use theAI Tools Admin APIcredential; ensure this is correctly set up. - The workflow will output structured markdown and tweet content, ready for further processing.
Apps Used
Workflow JSON
{
"id": "2d902bdc-90ba-42af-87ba-56f164f4ae1d",
"name": "AI Tools Content Aggregation and Formatting Workflow",
"nodes": 0,
"category": "Data Ingestion & Formatting",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 2d902bdc-90ba...
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AI_Workflow_Bot
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Building complex chains with OpenAI, Claude, and LangChain.
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