Scrape Apify Store Actor rankings by platform keyword

Apify Store Ranking Scraper (Store README title: Apify Store Ranking Radar; Store id taroyamada/apify-store-ranking-radar) queries the official Apify Store API for platform or use-case search terms and returns ranked Actor rows. The live Store description is: scrape Apify Store rankings by platform keyword, compare competitor demand, and find low-maintenance Actor opportunities. It is Store catalog ranking, not website HTML extraction and not product-review scraping. Page-body cleanup belongs on Website Content Extractor. Review pages belong on Shopify App Store Review Scraper, G2 & Capterra Review Scraper, or Apple Podcasts Reviews Scraper.

From $1.00 per 1,000 results

Open Apify Store Ranking Scraper on Apify

Apify Store keyword rankings, not website content or reviews

Use this page when the job is to search the Apify Store by keyword and rank existing Actors. Use Website Content Extractor when the job is cleaned markdown or text from docs, product, pricing, policy, or help-center URLs you already have. Use the Review Intelligence pack when the job is public reviews on Apple Podcasts, Shopify App Store, or G2/Capterra. Use Chrome Web Store Extension Intelligence when the catalog is chromewebstore.google.com, not Apify Store.

This Actor Website Content Extractor Review scrapers
Intent Rank Apify Store Actors by platform keyword via the official Store API Clean docs, product, pricing, policy, and help-center HTML Normalize public review listings (Shopify App Store, G2/Capterra, Apple Podcasts reviews)
Input Store search terms in searches plus optional sort and filters (no schema required array) Page URLs in urls (maximum 200) App listing URLs, review page URLs, or podcast collection IDs — not Apify Store keywords
What it reads Official Apify Store API search results Live page HTML you authorize Public review-store HTML or Apple/iTunes reviews RSS JSON
Primary output Ranked Store Actor row: rank, slug, title, pricing fields, opportunityScore, maintenanceHint, url Cleaned markdown/text/html plus title and fetch metadata Ratings, review rows, and store-specific rollups — not Apify Store rank

Store categories on the listing are Developer tools, Marketing, and AI. The README says this is designed for Actor developers who want to decide what to build next without manually checking Store pages every day.

Use cases

Store Quickstart: run the documented first-run input (review the pricing section before increasing the scope), which is dryRun: false with no other fields.

How is Apify Store Ranking Scraper different from Website Content Extractor and review scrapers?

This Actor queries the official Apify Store API for platform or use-case search terms and returns ranked Store Actor rows. The live Store description is: Scrape Apify Store rankings by platform keyword, compare competitor demand, and find low-maintenance Actor opportunities. It does not fetch arbitrary website HTML and it does not scrape product-review pages. Website Content Extractor cleans docs, product, pricing, policy, and help-center pages you already have (urls, maximum 200) into markdown, text, or HTML. Shopify App Store Review Scraper and G2 & Capterra Review Scraper read public merchant or B2B review listings. Apple Podcasts Reviews Scraper reads Apple/iTunes Customer Reviews RSS JSON. Chrome Web Store Extension Intelligence reads chromewebstore.google.com listing and search HTML — a different catalog, not Apify Store search. Use this Actor to rank Actors already listed on the Apify Store. Use Website Content Extractor for page body cleanup. Use the review landings for review pages.

What input is required?

The live input schema has no required array. Live schema fields:

Field Type Default Notes
searches string[] prefill only Platform Searches. Apify Store search terms such as youtube transcript, reddit keyword monitor, or meta ad library. Editor is stringList. Prefill is those three terms.
sortBy string[] prefill only Sort Modes. Store sort modes to query. Editor is stringList with no enum. Prefill is popularity, newest, lastUpdate.
maxResultsPerSearch integer 50 Maximum Store actors returned per search/sort combination. Minimum 1, maximum 1000.
pricingModel string "" (Any) Optional Apify Store pricing model filter. Enum: empty, FREE, PAY_PER_EVENT, PRICE_PER_DATASET_ITEM, FLAT_PRICE_PER_MONTH (titles Any, Free, Pay per event, Price per dataset item, Flat price per month).
minUsers30Days integer 0 Filter out rows below this monthly active user count. Minimum 0, maximum 1000000.
includeUnrunnableActors boolean false Include actors that Apify excludes from automatically runnable search results.
dryRun boolean false Emit sample rows without calling the Apify Store API.

The schema does not set additionalProperties. It does not publish delivery, webhookUrl, or maxChargeUsd. The README Input list also names sort mode relevance; live schema sortBy has no enum, and schema prefill plus Store API examples omit relevance. The Store Quickstart input is only dryRun: false.

Published Store Quickstart:

{
  "dryRun": false
}

Published README input object example:

{
  "searches": [
    "youtube transcript",
    "reddit keyword monitor",
    "meta ad library"
  ],
  "sortBy": [
    "popularity",
    "newest",
    "lastUpdate"
  ],
  "maxResultsPerSearch": 50,
  "pricingModel": "",
  "minUsers30Days": 0,
  "includeUnrunnableActors": false,
  "dryRun": false
}

Published Store API examples (JavaScript, Python, CLI) send only searches and sortBy (popularity, newest, lastUpdate). The README Local Run section states the default input uses dryRun: true.

Run Apify Store Ranking Scraper on Apify

What does a result row contain?

The published README output list is search, sortBy, rank, slug, title, totalUsers, totalUsers30Days, totalRuns, pricingModel, primaryPriceUsd, opportunityScore, maintenanceHint, url, and scrapedAt. The README What It Does sentence also mentions categories; that name is not in the output field list. There is no published output JSON schema and no sample result object on the Store README. The field list is a README inventory, not a live coverage guarantee. Those user-count and run-count names are columns on each ranked Store Actor row the Actor returns; they are not metrics about this landing or about this Actor's own Store card.

Website HTML fields such as markdown or article body belong on Website Content Extractor or Article Content Extractor. Review text belongs on the review landings.

How does dry-run work?

dryRun is a boolean, default false. The live schema description is: Emit sample rows without calling the Apify Store API. The Store Quickstart uses dryRun: false. The README Local Run section states the default input uses dryRun: true. Live schema does not include delivery or webhookUrl, so dataset-versus-webhook switching is not a published input on this Actor.

How is Apify Store Ranking Scraper priced?

Billing is pay per event. The live Store card is from $1.00 / 1,000 results. Live Store events are Actor Start at $0.00005 (charged when the Actor starts running; number of events charged depends on Actor memory, one event per GB, minimum one event) and Result at $0.001 (charged automatically for each item saved to the default dataset; this is the primary event). The Store README Pricing section states: This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. The README Recommended launch pricing list also quotes a future opportunity report event at $0.03 per summary report; that event is not in the live Store pricing events, which currently list only Actor Start and Result.

From $1.00 per 1,000 results ($0.001 per default-dataset Result; Actor Start $0.00005)

See Apify Store Ranking Scraper pricing on Apify

Does this scrape website content or product reviews?

No. The README states the Actor queries the official Apify Store API for search terms such as youtube transcript, reddit keyword monitor, and meta ad library. That is Store search ranking for Actors, not page HTML extraction and not review-page scraping. Website body cleanup belongs on Website Content Extractor. Merchant and B2B review pages belong on Shopify App Store Review Scraper or G2 & Capterra Review Scraper. Chrome Web Store listings belong on Chrome Web Store Extension Intelligence.

Open Apify Store Ranking Scraper on Apify

Limits to keep in mind

Open Apify Store Ranking Scraper on Apify

Related pages