Apify Store Scraper - Stats, Pricing Tiers & Reviews

Turn the Apify Store's 20,000+ public actors into a dataset you can filter, rank and chart: users, reviews, success rate, every pricing tier and more, one row per actor.

Why use this scraper

The Apify Store website lets you browse and search, but not export. If you want to rank every "LinkedIn" actor by 30-day users, or see what every actor in a category charges across its FREE to DIAMOND tiers, there is no button for that on apify.com. This actor turns the same public data the Store page shows into a structured dataset, so market research, pricing benchmarks and competitor tracking become a filter in a spreadsheet instead of dozens of browser tabs opened one at a time.

Overview

Input is a search term, category, sort order and a handful of filters. Output is one record per actor with its identity (name, title, owner, URL), adoption numbers (total users, users in the last 7/30/90 days, total runs, bookmarks), quality signals (review rating, review count, 30-day success rate) and its full pricing structure, including every discount tier Apify offers to paying accounts. A run with maxItems: 100 typically finishes in under a minute because the data comes from Apify's own public Store API.

Supported inputs

Input	What it does
searchTerm	Free-text search across actor titles, names and descriptions
category	Filter to one Store category (AI, ECOMMERCE, JOBS, REAL_ESTATE, SOCIAL_MEDIA, etc.)
sortBy	popularity, newest, relevance (best paired with searchTerm) or totalUsers
maxItems	Cap on how many actors to return
enrichWithDetails	Adds createdAt, modifiedAt, exampleRunInput, isPublic, isDeprecated per actor
minTotalUsers	Drops actors below a user-count floor, to filter out abandoned or test actors
pricingModelFilter	Keep only actors on one pricing model (PAY_PER_EVENT, PAY_PER_RESULT, FREE, etc.)

Leave searchTerm and category both empty to list across the whole Store, newest or most popular first depending on sortBy.

Use cases

• Niche research before building an actor: search a target site name and rank every existing competitor by 30-day users to see if the niche is already served or wide open.
• Pricing benchmarks: pull every actor in a category and compare primaryEventPriceUsd and the FREE-to-DIAMOND tier table side by side.
• Market-gap mapping: filter minTotalUsers above a floor inside one category to see exactly who the established players are and who is not.
• Portfolio audits: search your own username to get every stat for every actor you publish in one dataset, instead of opening each actor page to screenshot numbers.
• Rising-actor tracking: sort by newest and filter a user-count floor to catch actors gaining traction in their first weeks on the Store.
• Quality screening before buying: before committing budget to an actor for a client project, pull its successRate30d and actorReviewRating to see whether it is reliable in production, not just popular in raw user count.

How it works

The actor calls Apify's own public Store API, the same one that powers the Store website's search and listing pages, and optionally enriches each result with the actor detail endpoint for fields the listing view does not carry (creation date, last modification, example input). No login or account connection is needed because this is all public data Apify already serves to anonymous visitors.

Input configuration

Search one niche, sorted by adoption:

{
  "searchTerm": "linkedin",
  "sortBy": "totalUsers",
  "maxItems": 100
}

Map an entire category, filtering out dead actors:

{
  "category": "REAL_ESTATE",
  "minTotalUsers": 50,
  "maxItems": 200
}

Audit one publisher's whole portfolio with full detail:

{
  "searchTerm": "gio21",
  "enrichWithDetails": true,
  "maxItems": 500
}

Output sample

Real output from a run on 12/10/2026 (trimmed to the key fields; full records also include every pricing tier per charge event):

{
  "name": "crawler-google-places",
  "title": "Google Maps Scraper",
  "username": "compass",
  "userFullName": "Compass",
  "categories": ["LEAD_GENERATION", "TRAVEL"],
  "url": "https://apify.com/compass/crawler-google-places",
  "bookmarkCount": 5181,
  "actorReviewCount": 1813,
  "actorReviewRating": 4.70,
  "totalRuns": 42790154,
  "totalUsers": 644065,
  "totalUsers7Days": 16158,
  "totalUsers30Days": 40430,
  "totalUsers90Days": 82765,
  "runs30Days": {
    "SUCCEEDED": 3888017,
    "FAILED": 69961,
    "ABORTED": 24854,
    "TIMED-OUT": 27418,
    "TOTAL": 4010250
  },
  "successRate30d": 97,
  "pricingModel": "PAY_PER_EVENT",
  "primaryEventPriceUsd": 0.004
}

Key output fields

Field	Type	Description
name / title / username	String	Actor slug, display title, publisher handle
categories	Array	Store categories the actor is listed under
totalUsers / totalUsers7Days / 30Days / 90Days	Integer	Adoption across different windows
bookmarkCount	Integer	Times the actor was bookmarked on the Store
actorReviewRating / actorReviewCount	Number / Integer	Average rating and number of reviews
runs30Days	Object	Count of SUCCEEDED / FAILED / ABORTED / TIMED-OUT runs in the last 30 days
successRate30d	Integer	Percentage of runs that succeeded in the last 30 days
pricingModel	String	PAY_PER_EVENT, PAY_PER_RESULT, FREE, etc.
primaryEventPriceUsd	Number	List price of the actor's main billing event
pricingTiersByEvent	Object	Full FREE through DIAMOND price per charge event
createdAt / modifiedAt	String	Only with enrichWithDetails: true

Pricing

Pay per event, no monthly fee:

Event	Price
Actor scraped	$0.003

1,000 actors returned costs $3, whether or not enrichWithDetails is on.

What makes this richer than the competition

The most-used direct alternative on the Store is shahidirfan/Apify-Store-Scraper (4 users in the last 30 days), followed by khadinakbar/apify-store-scraper ("Scrape Apify Store — All Actors with Stats & Pricing", 3 users in the last 30 days), which charges a flat actor-start event regardless of how many actors are returned rather than a price per actor. This actor's flat $0.003-per-actor pricing scales predictably with the size of the pull, and pricingTiersByEvent returns every discount tier (FREE through DIAMOND) per charge event, not just the headline price, which is what a pricing benchmark actually needs to be useful.

Notes & limitations

• Figures reflect the Apify Store's own public counters at the moment of the run; a very recently published or updated actor may take a short while to show its latest numbers.
• enrichWithDetails adds a second API call per actor, so a large maxItems with it enabled takes longer than the same pull without it, even though the price per actor stays the same.
• The Store's own server-side filtering (deprecated, draft or otherwise hidden actors) applies before this actor sees the list, so counts you get match what a logged-out visitor sees on the Store, not an internal Apify-only view.
• This actor reads public catalog data; it does not call any actor it finds or access private runs, datasets or account information.
• pricingTiersByEvent reflects only actors on PAY_PER_EVENT; an actor on a different pricing model (FREE, PAY_PER_RESULT, a flat monthly fee) simply will not have that object populated, which is expected, not a missing field.
• Review rating and review count are the actor's own aggregate numbers; this actor does not scrape individual review text.

FAQ

Do I need an Apify API token with special permissions? No beyond the one every actor run needs. The Store data itself is public and requires no authentication to read.

Can I get every pricing tier, not just the headline price? Yes, pricingTiersByEvent carries the FREE, BRONZE, SILVER, GOLD, PLATINUM and DIAMOND price for every charge event the actor defines.

How current is totalUsers30Days? As current as the Store's own public stats, which Apify updates continuously; it reflects the numbers visible on apify.com at run time.

Can I search by publisher instead of by topic? Yes, searchTerm matches against actor titles, names and descriptions, so a publisher's username (or a distinctive part of their actor names) works as a search term too.

Does category support more than one value per run? No, one category per run. For multiple categories, run the actor once per category and combine the datasets afterward.

Does this return private or unpublished actors? No. It only returns actors the Store itself shows to a logged-out visitor, so private, draft and deprecated actors are excluded the same way they are excluded from Apify's own search results.

Can I use this to watch a specific competitor over time? Yes, scheduling a run with the same searchTerm daily or weekly and comparing totalUsers30Days and successRate30d across runs gives you a trend line without building that tracking yourself.

For AI Agents & LLM Apps

Call this actor from an MCP-compatible client via mcp.apify.com, or directly over the API:

curl "https://api.apify.com/v2/acts/gio21~apify-store-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerm": "linkedin", "sortBy": "totalUsers", "maxItems": 20}'

run-sync-get-dataset-items returns the actor records directly in the response, so an agent researching a niche gets a ranked competitor list in a single tool call, without a separate polling step.

SEO Keywords

Apify Store scraper, Apify actor data API, Apify Store pricing scraper, Apify competitor research tool, Apify Store ranking scraper, Apify actor stats export.