Apple App Store Top Charts Scraper

Apple App Store Top Charts Scraper pulls structured data from Apple App Store chart feeds and returns it as a clean dataset you can export as JSON, CSV or Excel. It reads Apple's own storefront chart feeds for every country you list and returns one row per app with its chart POSITION, so rank changes between runs show exactly who is climbing and who is falling.

No API key, no login. Click Start and it works with the prefilled input.

What does Apple App Store Top Charts Scraper do?

It queries Apple App Store chart feeds and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• Apple App Store chart feeds data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
countries	array	["us", "gb", "nz"]	Two-letter App Store storefront codes to pull top charts for.
chart	string	"top-free"	Which chart to pull: top-free or top-paid apps. One of: 'top-free', 'top-paid'.
maxResults	integer	50	How many ranked apps to keep per storefront (charts carry up to 100).

Example input:

{
  "countries": [
    "us",
    "gb",
    "nz"
  ],
  "chart": "top-free",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "rank": 1,
  "country": "us",
  "chart": "top-free",
  "app_name": "Muse from Meta",
  "developer": "Meta Platforms, Inc.",
  "app_id": "6760173601"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
rank	number	Chart Position
country	string	Storefront
chart	string	Chart
app_name	string	App Name
developer	string	Developer
app_id	string	App ID
app_url	string	App Store URL
icon	string	Icon
released	string	Released
chart_updated	string	Chart Updated
scraped_at	string	Scraped At

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from Apple App Store chart feeds. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use two-letter storefront codes such as us, gb, nz, au. Chart must be top-free or top-paid.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.