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Playbook

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Podscan

Podscan indexes and transcribes the podcast ecosystem and exposes full-text search across every transcript.

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When to use

  • “Find every podcast where was discussed.”
  • “Who talked about on a podcast?” — episode transcripts carry structured host/guest metadata (name, company, occupation, industry).
  • Social-listening / brand-monitoring over spoken audio, not just text.
  • Sourcing warm outbound targets: podcast guests who discussed your category are high-intent, self-identified buyers.

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Operations

  • podscan_episodes_search — full-text transcript search. Returns matching episodes with the matched _search_highlight snippet, the parent podcast, metadata.hosts[] / metadata.guests[] (name + company + occupation), and AI-extracted topics[] with sentiment. Use quoted phrases for precision, e.g. "customer interviews". Full transcripts are omitted by default (they are large); pass include_transcript: true only when you need them.
  • podscan_podcasts_search — discover shows by title/description.

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Tips

  • Quote multi-word phrases to avoid loose matches.
  • pagination.total gives the corpus-wide mention count for a query — useful for sizing before pulling pages.
  • language filters by ISO 639-1 code (e.g. en) and is honored by the API. Date and category filtering are not currently exposed because Podscan’s documented search surface does not reliably support them.
  • Turn guests into contactable leads by piping guest_name + guest_company into LinkedIn resolution and an email waterfall.

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Auth & billing

Deepline supplies the Podscan credential (PODSCAN_API_KEY). Billing applies per successful search — a well-formed response with at least one result. Zero-match searches are free; a malformed provider response is rejected rather than billed as an empty result. Deepline credit pricing for these actions is generated from the provider pricing metadata and rendered on the public provider pages.

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Rate limits

Podscan rate-limits aggressively (roughly 10 req/min on trial plans, higher on paid). The connector applies a conservative shared limit and surfaces upstream 429s; prefer deepline enrich, which paces requests automatically.