LEAD GENERATION

New Podcast Episode to Enriched Airtable Lead Row

Triggered when a tracked podcast publishes a new episode, this captures the guest, enriches their contact and company data.

CategoryLead Generation
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew-episode webhook receivedHTTP webhook
  • ActionExtract guest from episode pageApify
  • ActionEnrich guest company and emailExa
  • LogicSkip if unresolved or duplicate
  • OutputAppend enriched lead row to AirtableAirtableAirtable

What it does

Reacts the moment a podcast you follow drops a new episode. It pulls the guest from the episode, enriches them with company and contact details, and adds a complete lead row to your Airtable base — so you reach out while the episode is still fresh and the guest is still riding the publicity.

When to use it

Use this when timing matters more than volume. Reaching a guest the same week their episode airs gives you a natural, specific opener and a far better reply rate than a stale list. Best for teams already tracking a tight set of high-signal shows.

How it works

  1. 1An incoming webhook fires from your podcast-tracking service when a new episode publishes.
  2. 2An Apify actor extracts the guest name, episode title, and show notes from the episode page.
  3. 3Exa searches the live web for the guest's company, title, and likely work email pattern.
  4. 4A filter checks the guest resolved to a real company and isn't already in the base.
  5. 5A new row is appended to Airtable with the guest, company, episode link, and enriched fields.
  6. 6The row is tagged "new — needs outreach" so it surfaces in your follow-up view.

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 AirtableBases, tables, views, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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