iTunes & App Store Scraper Apps, Podcasts, Music, Movies

App Stores & Reviews

Operated by Sourcelane✓ verified

Searches Apple's iTunes / App Store catalog and extracts structured metadata for apps, podcasts, music, movies, TV shows, ebooks, and audiobooks. The connector queries the iTunes Search API to retrieve entity-level records containing store metadata such as titles and descriptions, developer/artist/publisher information, commercial data (pricing and currency), ratings and review counts, artwork and screenshot URLs, preview and store links, technical details (version, file size, supported languages, minimum OS), genres and content ratings, release and publication dates, episode counts and RSS feed URLs for podcasts, and music preview/album relationships. Each result preserves the original Apple record so entity-specific fields are retained alongside normalized metadata suitable for catalog analysis, discovery, ASO research, music cataloging, podcast pipelines, and lead extraction.

Verified Sep 28, 12:10 AM

$0.005

per catalog result

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

App market research: discover competing apps in a niche and compare ratings and pricing
Podcast discovery and outreach: find shows matching topics and obtain RSS feed URLs for podcast pipelines
App Store Optimization (ASO): analyze how Apple ranks results for target keywords
Music catalog research: locate artists, albums, or tracks matching a name and retrieve metadata and previews
Lead generation: extract developer, artist, or podcaster names and store links for outreach

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"itunes-app-store-search-scraper","params":{"term":"meditation","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`term`	string	required	What to search for. Apple matches across name, description, and keywords for the chosen entity.
`entity`	string	optional	What kind of items to search for. iOS Apps and Podcasts are the most popular.
`country`	string	optional	Two-letter ISO country code for the App Store / iTunes Store to search (e.g. 'us', 'gb', 'de', 'jp').
`maxItems`	integer	optional	Number of results to return. Apple's iTunes Search API caps single requests at 200. Capped at 100 per call.

Each result contains

Field	Type	Description
`entity`	string	Entity
`wrapperType`	null	Wrapper Type
`kind`	string	Kind
`trackId`	integer	Track Id
`collectionId`	null	Collection Id
`artistId`	integer	Artist Id
`name`	string	Name
`artistName`	string	Artist Name
`sellerName`	null	Seller Name
`bundleId`	null	Bundle Id
`description`	string	Description
`primaryGenre`	null	Primary Genre
`genres`	array	—
`price`	integer	—
`currency`	string	—
`formattedPrice`	string	—
`releaseDate`	string	—
`country`	null	—
`averageRating`	number	—
`ratingCount`	integer	—
`contentAdvisoryRating`	null	—
`fileSizeBytes`	null	—
`version`	null	—
`minimumOsVersion`	null	—
`trackCount`	null	—
`trackTimeMillis`	null	—
`languages`	array	—
`screenshotUrls`	array	—
`ipadScreenshotUrls`	array	—
`feedUrl`	null	—
`trackUrl`	string	—
`collectionUrl`	null	—
`artistUrl`	string	—
`artworkUrl`	string	—
`raw`	object	—

Use iTunes & App Store Scraper Apps, Podcasts, Music, Movies from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Summarise the one-star reviews for our iOS app from the last 30 days by theme.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"itunes-app-store-search-scraper","params":{"term":"meditation","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "itunes-app-store-search-scraper",
        "params": {"term":"meditation","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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