Podcast Guest Intelligence API
Pricing
Pay per usage
Podcast Guest Intelligence API
Track podcast guest appearances without manually scanning podcast apps. It converts podcast RSS feeds into structured records with episode metadata, likely guest details, topic matches, and fit scoring so you can find founders, operators, investors, and niche voices worth contacting or tracking.
Pricing
Pay per usage
Rating
0.0
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Developer
Tahira Muhammad
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1
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Monthly active users
2 days ago
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Turn podcast RSS feeds into structured guest-appearance intelligence.
This Actor parses podcast feeds, extracts episode metadata, identifies likely guest names, companies, and roles, and scores each episode against your topic keywords. When the RSS text is weak, it can fall back to episode-page context to recover guest details. It is built for PR teams, founder-brand operators, recruiters, sales teams, and researchers who want a cleaner workflow than manually scanning podcast apps.
Best results come from interview-style feeds where guest names or roles appear in episode titles, descriptions, or episode pages.
What you get
- podcast name
- episode title
- episode URL
- publication timestamp
- likely guest name
- likely guest company
- likely guest role
- guest confidence score
- guest extraction method
- page-context enrichment flag
- guest count
- additional guests for multi-guest episodes
- matched topic keywords
- topic match count
- fit score
- stable record ID
- run summary
Best use cases
- founder and executive outreach
- PR opportunity tracking
- competitor media monitoring
- podcast prospecting for startup and SaaS teams
- research feeds for active voices in a niche
Input
{"feedUrls": ["https://anchor.fm/s/7c624c84/podcast/rss"],"topicKeywords": ["ai", "startup", "saas", "fundraising", "founder"],"maxEpisodesPerFeed": 15,"emitOnlyMatchedTopics": false,"userAgent": "Soft But Savage research@example.com"}
Output
Each dataset item is a structured guest-appearance record. The Actor is designed to help you find people, companies, and topics worth outreach or follow-up.
Each record now includes:
record_idfor stable dedupe and syncing- normalized
published_attimestamps guest_confidenceandguest_extraction_methodpage_context_usedwhen episode-page enrichment was attemptedguest_countandadditional_guestsfor episodes with multiple extracted gueststopic_match_countepisode_summary
The Actor also writes a RUN_SUMMARY record to the default key-value store with per-feed status and counts.
That summary now includes total records, records with extracted guests, high-confidence guest records, and page-enriched records.