Sourcelane

Podcast Guest & Sponsor Finder

Podcasts

Operated by Sourcelane✓ verified

Extract every guest and sponsor from a podcast's recent episodes - names, roles, companies, promo codes and offers - from an RSS feed, Apple link or show name.

Read full description

A podcast-focused data-extraction connector that parses podcast show notes (from RSS feeds, Apple Podcasts links, or resolved show names) to produce structured, per-episode records identifying guests and sponsors. It extracts guest entities (full name, professional role/title, affiliated company, any social handles or profile links found in the notes) and sponsor entities (brand name, promotional code, offer description, vanity or landing URL), plus episode metadata (title, episode URL, publication date, duration), a confidence score for each extraction, and the verbatim evidence snippet from the notes that supports the extraction. The connector verifies each named person or brand against the episode’s own show notes before saving results, can be configured to analyze a window of recent episodes (scalable to hundreds of episodes), and yields one row per guest or sponsor appearance to enable counting appearances, temporal sorting, and cross-show affiliation mapping.

Verified Sep 28, 3:55 AM

$0.006

per guest

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

What people use it for

You give it

  • Podcastsrequired

    One podcast per line.

  • Published after

    Optional.

Optional settings

Max episodes per podcastWhat to extractMax results

You get back

Text & content
Episode title
People & accounts
Podcast nameNameSocial handles
Numbers & stats
Episode duration sec
Dates
Episode published at
Links & media
Podcast feed URLEpisode URLURL
Other details
TypePodcast websiteRoleCompanyPromo codeOfferConfidenceEvidence

Trust & reliability

7d uptime trend
WindowUptimeSuccess ratep50p95Calls
24h————0
7d————0
30d————0

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://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"podcast-guest-sponsor-finder","params":{"podcasts":["The Tim Ferriss Show","How I Built This"],"maxItems":5},"maxResults":10}'

Request params

FieldTypeRequiredDescription
podcastsarrayrequiredOne podcast per line. Accepts an RSS feed URL, an Apple Podcasts show URL (podcasts.apple.com/.../id123456) or just the show name (e.g. 'The Tim Ferriss Show'). Names and Apple links are resolved to the show's RSS feed automatically.
maxEpisodesPerPodcastintegeroptionalHow many of the most recent episodes to analyse for each podcast. Episodes with no show notes are skipped and do not count.
extractstringoptionalChoose whether to pull out guests (people interviewed), sponsors (brands with ad reads, promo codes or offers) or both.
publishedAfterstringoptionalOptional. Only analyse episodes published on or after this date, e.g. 2026-01-01. Leave empty for no date filter.
maxItemsintegeroptionalStop after this many guest + sponsor rows have been pushed to the results across all podcasts. 0 = unlimited. Capped at 100 per call.

Each result contains

FieldTypeDescription
typestringType
podcastNamestringPodcast Name
podcastFeedUrlstringPodcast Feed Url
podcastWebsitestringPodcast Website
episodeTitlestringEpisode Title
episodeUrlstringEpisode Url
episodePublishedAtstringEpisode Published At
episodeDurationSecintegerEpisode Duration Sec
namestringName
rolestringRole
companystringCompany
socialHandlesarraySocial Handles
promoCodenull—
offernull—
urlnull—
confidenceinteger—
evidencestring—

Use Podcast Guest & Sponsor Finder 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. One click, then confirm.

  1. 1Click Add to Claude — claude.ai opens with Sourcelane filled in
  2. 2Click Continue to confirm — it then works in Claude desktop and mobile too
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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl
curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"podcast-guest-sponsor-finder","params":{"podcasts":["The Tim Ferriss Show","How I Built This"],"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://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "podcast-guest-sponsor-finder",
        "params": {"podcasts":["The Tim Ferriss Show","How I Built This"],"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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