LEAD GENERATION

Podcast-Guest Scrape to Personalized Gmail Draft with Slack Approval

Scrapes and enriches podcast guests, drafts a personalized first-touch email referencing their episode.

CategoryLead Generation
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled outreach run fires
  • ActionScrape guests and episode detailsApify
  • ActionEnrich guest and verify emailExa
  • ActionDraft personalized first-touch email
  • LogicRequest approval in SlackSlack
  • OutputSave approved draft to GmailGmailGmail

What it does

Closes the loop from sourcing to a near-ready email. It scrapes podcast guests, enriches them, writes a tailored first-touch email that references something specific from their episode, and routes each draft to Slack for a quick human yes/no. Approved drafts are saved straight into your Gmail drafts to send with one final glance.

When to use it

Use this when you want the personalization volume of automation but refuse to send unreviewed cold email under your name. The Slack gate keeps a human in control while the workflow does the research and writing. Best for founder or low-volume, high-quality outbound.

How it works

  1. 1A schedule starts the run on your chosen cadence.
  2. 2An Apify actor scrapes recent guests and episode details from target shows.
  3. 3Exa enriches each guest with company, role, and a verified work email.
  4. 4A drafting step writes a personalized first-touch email citing a specific episode moment.
  5. 5Each draft is posted to Slack with approve and skip buttons for human review.
  6. 6On approval, the message is saved as a Gmail draft addressed to the guest; skipped ones are discarded.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect GmailRead, draft, send, label.
  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.

Run this workflow in your colony.

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