App Store Charts Scraper β Top Free, Paid & Grossing | $1/1K
Pricing
from $0.97 / 1,000 apps
App Store Charts Scraper β Top Free, Paid & Grossing | $1/1K
Scrape Apple App Store top charts: rank, app ID, name, developer, category, icon URL. Free/Paid/Grossing. Uses Apple's open iTunes RSS β no API key needed. Pay per result.
Pricing
from $0.97 / 1,000 apps
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App Store Charts Scraper β Top Free, Paid & Grossing | $1/1K | No Key
ASO managers, app publishers, and mobile market analysts use this actor to track weekly chart movements, discover trending apps before they peak, and monitor competitor positions across countries.
$1.00 per 1,000 chart entries. A full 200-app chart costs $0.20. All 3 chart types across 10 countries = $0.60 total.
Worked example:
- Top 100 Free Apps (US) = 100 entries β $0.10
- Full 200-entry chart (any type, any country) β $0.20
- All 3 charts Γ 10 countries Γ 200 entries = 6,000 entries β $6.00
200 apps per chart β Apple's RSS supports up to 200 entries, more than any other source.
Top Grossing = revenue intelligence. The Grossing chart is the best proxy for app subscription/IAP revenue β investors and developers use it for competitive due diligence.
Scrape Apple App Store top charts: Top Free, Top Paid, or Top Grossing apps for any country. Uses Apple's open iTunes RSS API β no API key required. Pay per result.
Sample output
{"rank":1,"app_id":"544007664","name":"YouTube","developer":"Google LLC","category":"Photo & Video","price":0.0,"chart_type":"free","country":"us","icon_url":"https://is1-ssl.mzstatic.com/...","parse_confidence":1.0}
What you get
| Field | Description |
|---|---|
rank | Position in the chart (1 = #1) |
app_id | Numeric Apple app ID |
bundle_id | Reverse-DNS bundle ID (e.g. com.company.app) |
name | App name |
developer | Developer/artist name |
developer_url | Developer's App Store page |
category | Primary category (e.g. Games, Productivity) |
category_id | Apple category ID |
price | Price in local currency (0.0 for free) |
currency | ISO 4217 currency code |
url | App Store URL |
icon_url | App icon URL (largest available) |
summary | Short app description |
release_date | Original release date (ISO 8601) |
chart_type | "free", "paid", or "grossing" |
country | Storefront country code |
parse_confidence | Data quality score 0.0β1.0 |
Usage
{"chartType":"free","country":"us","limit":100}
Filter by category (Games = 6014):
{"chartType":"grossing","country":"gb","limit":50,"genreId":6014}
Chart types
| Value | Chart |
|---|---|
free | Top Free Apps |
paid | Top Paid Apps |
grossing | Top Grossing Apps |
FAQ
Do I need an API key or proxy? No. Apple's iTunes RSS chart feed is fully public β no auth, no proxy, zero setup.
What formats can I export? JSON, CSV, Excel, or JSONL β from the Apify dataset UI or REST API.
Can I schedule it to track weekly chart movements? Yes. Use Apify Scheduler to run weekly per country. Pair with a webhook to Slack or Google Sheets to build a chart-position history automatically.
What if it returns empty results?
Apple's RSS occasionally returns an empty feed for certain country/genre combinations. The actor logs a warning and exits cleanly β no data is charged. Try the us storefront first to verify your genreId.
Limits
- Up to 200 apps per chart per country
- Supports all App Store country storefronts (us, gb, de, jp, au, ca, fr, etc.)
- Real-time data directly from Apple's RSS feed
vs. alternatives
| Feature | This actor | Sensor Tower | AppFollow | AppMagic |
|---|---|---|---|---|
| Bulk multi-country charts | β | β | β | β |
| Grossing chart (revenue proxy) | β | β | β | β |
| Structured JSON output | β | via API | via API | via API |
| Pay-per-use (no subscription) | β | β | β | β |
| Cost | $1/1K | $99+/mo | $99+/mo | $99+/mo |
(Verify competitor prices at publish time β adjust table accordingly.)
parse_confidence β every record carries a 0.0β1.0 data quality score. Score < 0.5 β check the warnings field.
Also see: ASO Keyword Rank Tracker β track keyword-level rankings, not just chart positions.
Use with AI agents (MCP)
All actors in this suite are available via the Apify MCP server. Connect to Claude, GPT-4o, or n8n to let AI agents pull live App Store data on demand β market research, competitor monitoring, and ASO tracking automated end-to-end.
MCP config: https://mcp.apify.com/?tools=bovi/appstore-charts
Also in this suite
- Apple App Store Scraper β full metadata + reviews
- Google Play Store Scraper β Android ecosystem
- App Store Reviews Scraper β reviews-only, bulk NLP use case
- ASO Keyword Rank Tracker β ranking intelligence, 10Γ cheaper than Sensor Tower
- iOS App Update Tracker β version monitoring
Integrations
Built for ASO managers and mobile market analysts tracking chart positions and top-grossing revenue signals by country β the JSON/dataset output drops into the tools you already run, no glue code:
- n8n / Make / Zapier β trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
- Webhooks β fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
- MCP server β expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
- API & SDKs β fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.
See all Apify integrations.
