Is this official n8n data?

The index is built from publicly available data on n8n's template library, including view counts, node counts, and npm download trends. It is not affiliated with or endorsed by n8n GmbH.

How is the Demand Score calculated?

Demand Score is a composite signal combining template view velocity, npm package trend data, and category growth rate. It's updated weekly. Members get the full scoring methodology in the weekly intelligence report.

What's actually in the weekly intelligence report?

Each report covers the top-moving use cases from the previous 7 days, ranked by demand signal strength. It includes Build vs Skip recommendations, strategic ratings per category, and a summary of which automation niches are gaining or losing momentum.

What does the free tier include?

Free gives you template counts, node data, use case distribution, npm raw download figures, complexity breakdown, and community access. You also get a summary version of the weekly signals post.

Can I cancel anytime?

Yes. Paid is month-to-month. Cancel anytime from your account settings. No questions asked.

I'm not an n8n power user — is this for me?

If you build, sell, or recommend automations for clients — yes. The index tells you which automations the market actually wants before you spend time building the wrong thing.

What is the Strategic Rating and how is it different from Demand Score?

Demand Score measures market signal strength. Strategic Rating goes further: it assesses build worthiness by factoring in competition density, complexity cost, and demand sustainability.

How often is the data updated?

The index runs a full crawl of n8n's public template library every week, refreshing view counts, node data, npm download trends, and use case classifications.

Data Processing n8n Templates

Move, transform, and route files and structured data between storage systems.

134

Templates

51%

Use AI nodes

Avg node count

Simple (1–5 nodes)

Intermediate (6–15)

Advanced (16+)

Data processing workflows move, transform, and route structured data between storage systems, databases, and APIs. This category covers CSV parsers, spreadsheet-to-database loaders, JSON transformers, and scheduled data pipeline jobs. The templates here range from two-node file readers to multi-step ETL pipelines with schema validation, type coercion, and error logging. Complexity tiers reflect pipeline depth: simple workflows read one source and write one target; intermediate builds add filtering, mapping, and conditional branching; advanced workflows handle chunked batch processing, incremental loads, and multi-destination fan-out. Because data processing is infrastructure-adjacent, Demand Score here correlates with integration pain — templates with high view counts often address file format or API quirks that lack good documentation. Free members see node counts and view volume. Paid members see which data pipeline patterns attract the most builder attention and which source-target combinations remain underserved.

Showing 1–50 of 134 templates, ordered by views

Data Processing

Backup all n8n workflows to Google Drive every 4 hours

This workflow takes off the task of backing up workflows regularly on Github and uses Google Drive as the main tool to host these. This ca…