Podcast Episode Scraper (RSS & Apple)

Podcasts

Operated by Sourcelane✓ verified

A podcast metadata extraction connector that crawls podcast RSS feeds and Apple Podcasts links to produce one normalized record per episode, extracting episode-level metadata such as podcast title and author, episode title and publish date, duration normalized to seconds, audio media URL and MIME type, transcript link when present, season and episode numbers, explicit content flag, episode webpage link and GUID, cover art image, and a plain-text description. Technical capabilities include resolving Apple Podcasts links to the underlying RSS feed via iTunes lookup, parsing standard RSS and podcast-specific tags (including podcast:transcript), normalizing duration values, reading feeds in feed order, and returning structured episode metadata suitable for analytics, indexing, transcript pipelines, and results creation without requiring an API key.

Verified Sep 28, 12:10 AM

$0.003

per podcast episode

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

What people use it for

Podcast analytics and catalog building (ingest entire show back catalogs)
Content research (track release cadence, episode lengths, guest cadence)
Transcript pipelines (collect audio and transcript URLs for downstream processing)
Media monitoring (watch shows and capture new episodes as they publish)
results creation for search, recommendation, or machine learning

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":"podcast-rss-scraper","params":{"feeds":["https://feeds.simplecast.com/54nAGcIl"],"maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`feeds`	array	required	One entry per podcast. Accepts a direct RSS feed URL (e.g. 'https://feeds.megaphone.fm/show'), an Apple Podcasts URL (e.g. 'https://podcasts.apple.com/us/podcast/name/id1234567890'), or an 'apple:' shortcut (e.g. 'apple:1234567890').
`maxEpisodesPerFeed`	integer	optional	Maximum number of (most recent) episodes to extract from each feed. 0 = all episodes in the feed.
`maxItems`	integer	optional	Maximum total number of episodes to push across all feeds. 0 = no limit. Capped at 100 per call.

Each result contains

Field	Type	Description
`podcastTitle`	string	Podcast Title
`podcastAuthor`	string	Podcast Author
`feedUrl`	string	Feed Url
`episodeTitle`	string	Episode Title
`pubDate`	string	Pub Date
`durationSeconds`	integer	Duration Seconds
`season`	null	Season
`episode`	null	Episode
`explicit`	boolean	Explicit
`audioUrl`	string	Audio Url
`audioType`	string	Audio Type
`episodeUrl`	string	Episode Url
`guid`	string	—
`transcriptUrl`	null	—
`imageUrl`	string	—
`description`	string	—

Use Podcast Episode Scraper (RSS & Apple) 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":"podcast-rss-scraper","params":{"feeds":["https://feeds.simplecast.com/54nAGcIl"],"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": "podcast-rss-scraper",
        "params": {"feeds":["https://feeds.simplecast.com/54nAGcIl"],"maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…