n8n-nodes-store-actor-intelligence-api
v0.1.1
Published
Get pricing, usage, reliability, and ratings for any public Actor in the Apify Store. Apify-backed n8n community node, pay-per-result, and usable as an AI agent tool.
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n8n-nodes-store-actor-intelligence-api
An n8n community node that pulls commercial intelligence on every public Actor in the Apify Store: pricing, usage trends, reliability, and ratings, returned as structured JSON. It is backed by the Apify Store API on Apify and bills per result, so there are no subscriptions and no minimums.
Installation · Credentials · Operations · Output · Example workflows · Pricing · Resources
What it does
Search the Apify Store by keyword, category, pricing model, or developer (or sweep the whole store), and it returns one item per Actor with pricing, 7/30/90-day users, run counts, a computed 30-day success rate, ratings, and bookmarks. It also works as an AI Agent tool, so an agent can answer questions about Store Actors on demand.
- Filter by keyword, category, pricing model, developer, and sort order
- One clean item per Actor, with pricing and reliability data
- Choose how much data to return per Actor: Simplified, Raw, or Selected Fields
- Optionally enrich each Actor with its full README and input schema
Installation
Follow the n8n community nodes installation guide:
- In n8n, open Settings > Community Nodes.
- Select Install.
- Enter
n8n-nodes-store-actor-intelligence-apiand confirm. - The Apify Store node is now available in the node picker.
Credentials
You need an Apify API token (the node authenticates to Apify on your behalf).
- Create a free Apify account.
- In the Apify Console, open Settings > Integrations and copy your API token.
- In n8n, create a new Apify API credential and paste the token. OAuth2 is also supported.
Operations
Actor > Search - search the Apify Store and return one item per matching Actor.
Inputs (all optional):
| Field | Description | | --- | --- | | Search Keyword | Keyword across title, name, description, developer, and README | | Category | One of the 25 Apify Store categories | | Pricing Model | Free, Flat Monthly Price, Price Per Dataset Item, or Pay Per Event | | Developer Username | Filter to one developer handle | | Sort By | Relevance, Popularity, Newest, or Last Updated | | Maximum Actors | How many to return (0 = the entire store) | | Start Offset | Skip this many Actors first (resume or shard) | | Include Full README and Input Schema | Enrich each Actor with deeper data |
Output
The Output parameter controls how much data each item carries:
- Simplified (default): a compact, LLM-friendly object. Forced automatically when the node is used as an AI Agent tool.
- Raw: every field the API returns.
- Selected Fields: pick exactly which fields to return.
Common fields:
| Field | Meaning |
| --- | --- |
| title, name, username, url | Identity of the Actor and its developer |
| pricingModel, pricePerUnitUsd, pricingEvents | Pricing model and per-event prices |
| totalUsers, monthlyUsers, totalUsers7Days/30Days/90Days | Usage and growth |
| totalRuns, totalBuilds, lastRunStartedAt | Activity |
| successRate30Days, runs30DaysTotal/Succeeded/Failed | Reliability |
| reviewRating, reviewCount, bookmarkCount | Quality and demand |
| categories, description | Classification |
Example workflows
Top free Actors in a category
- Apify Store node: Category =
AI, Pricing Model =Free, Sort By =Popularity, Maximum Actors =25. - Read
title,monthlyUsers, andsuccessRate30Daysfrom each item.
Daily competitor watch
- Schedule Trigger (daily).
- Apify Store node: Search Keyword = your niche, Sort By =
Popularity. - Send the results to a sheet or Slack to track pricing and usage over time.
As an AI Agent tool, connect the node to an agent and ask things like "which Apify Store Actors for Instagram have the highest success rate?".
Pricing
The backing Apify Store API bills per Actor returned on Apify's pay-per-event model, priced to be the cheapest Store-data API available. You pay only for what you pull; see the live price on the Store page.
Resources
Last Updated: 2026.06.29
