iPad App Store Data Scraper avatar

iPad App Store Data Scraper

Pricing

Pay per event

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iPad App Store Data Scraper

iPad App Store Data Scraper

Scrape iPad apps from the Apple App Store at scale. Search apps by keyword, browse top charts (free, paid, or top grossing), or look up specific app IDs. Extract app name, developer, price, ratings, review count, screenshots, and categories. Filter by country. Export results as JSON or CSV.

Pricing

Pay per event

Rating

5.0

(1)

Developer

ParseForge

ParseForge

Maintained by Community

Actor stats

1

Bookmarked

3

Total users

0

Monthly active users

8 hours ago

Last modified

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Apple App Store iPad Scraper

Pull structured iPad app data from the Apple App Store at scale. Search by keyword, browse top charts (free, paid, top grossing), or look up specific app IDs. Each result includes app name, developer, price, rating, review count, screenshots, and category - exported as JSON, CSV, Excel, XML, or JSONL.

What the Scraper Does

Scrapes the Apple App Store's iPad section for structured data. Three modes:

  • Keyword search - find apps matching any search term
  • Top charts - pull free, paid, or top grossing rankings by category and country
  • App ID lookup - get full details for a list of specific app IDs

Filter by country (US, GB, JP, DE, and 40+ more). Output lands in the dataset ready for downstream tools.

How to Use

  1. Sign up for Apify - free tier includes monthly credits
  2. Open the actor's input page and pick a mode (search, top charts, or lookup)
  3. Set your filters - keyword, country, category, max items
  4. Run the scraper - results appear in the dataset tab
  5. Export as JSON, CSV, Excel, XML, or JSONL

📊 Data fields

Each record includes: advisories, appUrl, artistId, artistName, artistUrl, averageUserRating, averageUserRatingCurrentVersion, bundleId, contentRating, currency, currentVersionReleaseDate, description, fileSizeBytes, formattedPrice, genreIds, genres, hasInAppPurchases, iconUrl, id, ipadScreenshotUrls, isFree, languages, minimumOsVersion, name, price, primaryGenre, primaryGenreId, releaseDate, releaseNotes, scrapedAt, sellerName, subtitle, supportedDevices, userRatingCount, userRatingCountCurrentVersion, version. All 36 field names come from a real production run, so what you see here is what lands in your dataset.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.