LEAD GENERATION

Scrape Podcast Episode Pages into a Qualified HubSpot Pipeline

On a schedule, scrapes your podcast's episode and guest pages with Apify, identifies each guest's company and role, scores fit against your ICP.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerschedule
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionScrape episode + guest pages with ApifyApify
  • ActionEnrich guests with ExaExa
  • ActionScore ICP fit + rationale with OpenAIOpenAI
  • LogicBranch: strong fit vs. nurture
  • ActionCreate HubSpot deals for strong fitsHubSpotHubSpot
  • OutputLog nurture leads to AirtableAirtableAirtable

What it does

Mines the people who appear on your podcast as inbound-warm leads. It scrapes episode pages to pull guest names and companies, researches each one, and turns the qualified guests into HubSpot deals so your team can follow up while the relationship is fresh.

When to use it

Use it when your podcast guests are themselves buyers or champions and you want a standing process that backfills your pipeline after each batch of episodes, with no manual list-building.

How it works

  1. 1A weekly schedule kicks off the run.
  2. 2Apify scrapes the podcast site's episode pages and extracts guest names, companies, and bio links.
  3. 3Exa enriches each guest with current title, company size, and industry.
  4. 4An OpenAI step scores ICP fit and writes a one-line "why they fit" rationale.
  5. 5A logic branch separates strong fits from the rest.
  6. 6Strong fits become HubSpot deals with the rationale in the deal notes; weak fits are logged to Airtable for later review.

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 OpenAIModels, embeddings, files.
  4. 4
    Connect HubSpotCRM, deals, marketing, support.
  5. 5
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.