Apify Store Scout
Pricing
from $5.00 / 1,000 analyzed actors
Apify Store Scout
Research Apify Store niches. Search actors by keyword/category, compare demand signals, pricing, ratings, and recent activity, then output a ranked dataset.
Pricing
from $5.00 / 1,000 analyzed actors
Rating
0.0
(0)
Developer
Rodrigo Dias
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Search the Apify Store from an actor and get a ranked dataset back.
This actor is for builders who want to spot niches before they build. Give it a few keywords like website markdown, lead scraper, or dataset cleaner. It calls Apify's public Store API, deduplicates matching actors, and scores them with simple demand signals: recent users, total users, bookmarks, ratings, reviews, and pricing model.
It does not scrape Apify pages and it does not need proxies. It uses public Store API data.
What you get
Each output item is one actor, sorted by opportunityScore from highest to lowest. The dataset includes:
- the queries that matched the actor
- actor name, owner, title, description, categories, and Store URL
- pricing model when available
- total, monthly, and weekly users
- bookmarks, rating, and review count
- last run / modified timestamps when Apify returns them
- a simple opportunity score you can sort or filter further
The score is intentionally transparent:
monthlyUsers * 3+ totalUsers * 0.05+ bookmarks * 2+ reviewCount * 5+ rating * 20
Use it as a first pass, not as gospel. High scores usually mean crowded markets. Low but relevant results can point to smaller gaps.
Input
searchQueries— one or more Store searches.category— optional category filter such asAI,DEVELOPER_TOOLS,LEAD_GENERATION,SEO_TOOLS, orJOBS.sortBy—relevance,popularity,newest, orlastUpdate.limitPerQuery— how many Store results to fetch per query.includeUnrunnableActors— whether to include actors that are not currently runnable.
Output
A ranked dataset of Apify actors. Open the Output tab for the overview table, or export JSON/CSV for deeper analysis.