n8n Workflow Marketplace Analyzer

Analyze public n8n marketplace workflows and turn raw template metadata into useful automation intelligence. Extract workflow nodes, categories, creators, pricing, views, and dates, then generate reports on popular integrations, complexity, and marketplace demand.

Features

• Collects up to 15,000 public n8n marketplace workflows, enough for the complete current catalogue
• Streams normalized pages directly to the dataset instead of retaining the full raw response in memory
• Saves page-level checkpoints for safe resurrection of long scrape and analysis runs
• Extracts workflow IDs, names, descriptions, nodes, categories, creators, views, and prices
• Calculates top nodes, categories, creators, and viewed workflows
• Compares free and paid templates plus workflow complexity
• Filters marketplace collection by category
• Optionally generates Alpaca and OpenAI-compatible training data
• Saves workflow rows, analysis, training files, and run statistics separately

Use Cases

• Automation product research: identify popular integrations and workflow patterns
• Template strategy: find high-demand categories and common node combinations
• Competitive intelligence: compare creators, pricing, and workflow popularity
• Content research: discover examples for tutorials and automation guides
• AI datasets: generate structured examples from public workflow descriptions

Input

Field	Type	Default	Description
mode	string	scrape_and_analyze	Scrape only, scrape plus analysis, or analysis plus ML data
maxWorkflows	integer	1000	Maximum workflows, from 1 to 15,000
startPage	integer	1	Starting marketplace page for a complete run or manual chunk
category	string	all categories	Optional n8n marketplace category
generateMLData	boolean	false	Generate Alpaca and OpenAI-compatible datasets
resumeFromCheckpoint	boolean	true	Resume a resurrected scrape or analysis run from its last completed page

{
  "mode": "scrape_and_analyze",
  "maxWorkflows": 15000,
  "startPage": 1,
  "category": "",
  "generateMLData": false,
  "resumeFromCheckpoint": true
}

Output

Each default-dataset item is one n8n workflow:

{
  "id": 3124,
  "name": "Summarize support tickets with AI",
  "slug": "summarize-support-tickets-with-ai",
  "description": "Analyze and summarize incoming support tickets...",
  "url": "https://n8n.io/workflows/3124",
  "totalViews": 18420,
  "recentViews": 612,
  "price": 0,
  "featured": true,
  "nodes": [
    { "name": "n8n-nodes-base.gmail", "displayName": "Gmail", "nodeCategories": [{ "name": "Communication" }] },
    { "name": "@n8n/n8n-nodes-langchain.openAi", "displayName": "OpenAI", "nodeCategories": [{ "name": "AI" }] }
  ],
  "workflowCategories": [{ "name": "AI" }],
  "user": { "username": "example", "verified": true },
  "createdAt": "2026-01-15T10:00:00.000Z",
  "updatedAt": "2026-06-30T10:00:00.000Z"
}

The key-value store separates the valuable derived outputs:

• analysis: top nodes, categories, integration pairs, AI-node adoption, creators, pricing, complexity, creation trends, and popular workflows
• training_data_*: optional ML datasets and metadata
• STATS: mode, filter, duration, records saved, and generated-output flags
• SCRAPE_CHECKPOINT: internal recovery state for resurrected runs

How to Use

1. Open the Actor and click Try for free.
2. Select an analysis mode.
3. Choose a category or leave it empty for the full marketplace.
4. Start with maxWorkflows: 100 for a quick validation run.
5. Enable ML data only when you need the additional training files.
6. Open the Output tab for workflows and the report links.

For a complete marketplace snapshot, use maxWorkflows: 15000. The Actor stops automatically when the n8n API reports that no more workflows are available. Checkpoint recovery applies to scrape_only and scrape_and_analyze; ML generation intentionally rebuilds its complete training set in one run.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("scraper_guru/n8n-marketplace-analyzer").call(run_input={
    "mode": "scrape_and_analyze",
    "maxWorkflows": 1000,
    "category": "AI"
})
analysis = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("analysis")

Pricing

This is a pay-per-event Actor. A workflow saved to the default dataset costs $0.0005, or $0.50 per 1,000 workflow records, plus any platform usage shown by Apify. The analysis report does not add thousands of duplicate result rows.

FAQ

Does this download executable n8n workflow JSON?
It collects the public metadata returned by the n8n marketplace search API. Availability of full workflow definitions depends on the source response.

Where is the analysis report?
Open the analysis record from the Actor Output or key-value store.

Why is the category list limited?
The input exposes common marketplace categories. Leave it empty to collect all categories and filter the dataset afterward.

When should I enable ML training data?
Enable it only when you need prompt-response examples derived from sufficiently detailed workflow descriptions.

Can I schedule market snapshots?
Yes. Save the input as an Apify Task and run it on a weekly or monthly schedule.

For API changes or incorrect marketplace fields, open the Issues tab on this Actor.