LEAD GENERATION

New Podcast Episode Webhook to Personalized Gmail Guest Intro

When a podcast publishes a new episode, it enriches the guest and drafts a personalized cold intro email in Gmail referencing what they said on the show.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on newly published episodeHTTP webhook
  • ActionScrape episode page for guest and transcript snippetApify
  • ActionEnrich guest with company, role, and email patternExa
  • ActionDraft personalized intro quoting the episodeOpenAI
  • OutputCreate reviewable draft in GmailGmailGmail

What it does

Reacts to a single new podcast episode the moment it drops, pulls the guest's identity and a quotable moment from the episode, and writes a tailored cold-intro email draft in Gmail. The draft references the actual episode so the outreach reads researched, not templated.

When to use it

Use this when speed matters and you want to reach a guest while their episode is fresh and getting shares. Ideal for BDRs who want a ready-to-edit draft in their inbox within minutes of an episode going live, rather than batching outreach days later.

How it works

  1. 1An incoming webhook fires when your podcast monitor detects a newly published episode.
  2. 2Apify scrapes the episode page for the guest name, show notes, and a transcript snippet.
  3. 3Exa enriches the guest with their company, role, and likely work email pattern.
  4. 4OpenAI drafts a short personalized intro that quotes a specific point the guest made.
  5. 5Gmail creates the message as a draft addressed to the guest for human review and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ApifyActors, scrapers, datasets.
  3. 3
    Connect ExaNeural search across the web.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Connect GmailRead, draft, send, label.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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