Combine marketing RSS feeds and Hugging Face datasets into a clean CSV

by Mayank Bhadrasen ✓ · 9 views · created 2026-10-12 · Market Research, AI Summarization

What this workflow does

This workflow has 18 nodes and runs on a schedule (every 3 days at 09:00). It uses only n8n's built-in nodes. It also calls datasets-server.huggingface.co over HTTP.

How it runs

Trigger: On a schedule (every 3 days at 09:00).

1. Set Source Configuration (Edit Fields (Set)): sets 8 fields: ad_copy_dataset, campaign_dataset, rows_per_dataset…
2. Read Social Media Examiner RSS (RSS Read): reads an RSS feed
3. Read HubSpot RSS Feed (RSS Read): reads an RSS feed
4. Read Marketing Dive RSS Feed (RSS Read): reads an RSS feed
5. Read MarTech RSS Feed (RSS Read): reads an RSS feed
6. Fetch HuggingFace Campaigns (HTTP Request): calls datasets-server.huggingface.co
7. Fetch HuggingFace Ad Copy (HTTP Request): calls datasets-server.huggingface.co
8. Combine RSS Feeds (Merge): merges the data from its input branches
9. Map Campaign Data (Code): runs custom JavaScript code
10. Map Ad Copy Data (Code): runs custom JavaScript code

…plus 7 more steps. See the full node list below.

HTTP calls to: datasets-server.huggingface.co

Before you upgrade to n8n 3.0

Nodes used (7)

• HTTP Requestn8n-nodes-base.httpRequest
• RSS Readn8n-nodes-base.rssFeedRead
• Coden8n-nodes-base.code
• Mergen8n-nodes-base.merge
• Convert to Filen8n-nodes-base.convertToFile
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set

From the author

Quick overview This workflow runs every three days to collect marketing data from two public Hugging Face datasets and four RSS feeds, standardizes and quality-checks the combined records, and outputs a cleaned CSV plus a JSON quality report. How it works 1.…

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