Apple Podcast Reviews Scraper

Name: Apple Podcast Reviews Scraper
Price: 0.004 USD

Podcasts

Operated by Sourcelane✓ verified

A scraper for Apple Podcasts that extracts user reviews and ratings for a specified podcast across Apple Podcasts storefronts. It harvests localized review feeds to produce per-review records containing numeric ratings, review titles, full review text, author name and profile link, helpful-vote counts, timestamps, storefront/country, and the associated podcast identifier. The connector supports multi-country retrieval (29+ regions including US, UK, Japan, Germany, Brazil, India), can sort by newest or most-helpful reviews, and fetches up to 500 reviews per podcast per country by paging through Apple’s customer-reviews feed without requiring a developer account or login.

Verified Sep 28, 12:10 AM

$0.004

per review

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

What people use it for

Podcast feedback monitoring to surface listener praise, complaints, and episode requests
Competitive podcast intelligence to track sentiment and review trends across rival shows
Audience research to understand listener demographics, interests, and episode resonance
Content gap analysis to mine reviews for topic suggestions and unmet listener needs
Advertiser and sponsor research to evaluate audience tone and engagement for brand fit

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":"apple-podcast-reviews-scraper","params":{"podcastId":"https://podcasts.apple.com/us/podcast/the-daily/id1200361736","maxReviews":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`podcastId`	string	required	Either the numeric Apple Podcasts ID (e.g. '1200361736') or the full Apple Podcasts URL (e.g. 'https://podcasts.apple.com/us/podcast/the-daily/id1200361736'). The ID will be extracted automatically.
`country`	string	optional	Two-letter ISO country code for the Apple Podcasts storefront. Reviews are localized per region - pull each country separately.
`sortBy`	string	optional	Most Recent returns the newest reviews first. Most Helpful returns reviews with the most votes.
`maxReviews`	integer	optional	Maximum reviews to return. Apple's RSS feed caps at 500 reviews per podcast per country. Set 0 to fetch all available (up to 500). Capped at 100 per call.

Each result contains

Field	Type	Description
`reviewId`	string	Review Id
`podcastId`	string	Podcast Id
`country`	string	Country
`rating`	integer	Rating
`title`	string	Title
`content`	string	Content
`version`	string	Version
`author`	string	Author
`authorUrl`	string	Author Url
`voteCount`	integer	Vote Count
`voteSum`	integer	Vote Sum
`updatedAt`	string	Updated At
`sortBy`	string	—

Use Apple Podcast Reviews Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Which podcasts in the SaaS niche had founders as guests last month?”

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":"apple-podcast-reviews-scraper","params":{"podcastId":"https://podcasts.apple.com/us/podcast/the-daily/id1200361736","maxReviews":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": "apple-podcast-reviews-scraper",
        "params": {"podcastId":"https://podcasts.apple.com/us/podcast/the-daily/id1200361736","maxReviews":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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