LEAD GENERATION

Discover Niche Podcasts by Topic and Queue Their Episodes

Searches the web for podcasts that publish episodes on a target topic, then collects their recent episode pages into an Airtable queue ready for guest-site mining.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggermanual
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run with topic keywords
  • ActionNeural-search for podcasts on the topicExa
  • LogicKeep high-relevance shows, dedupe domains
  • ActionCrawl show archives for episode URLsFirecrawl
  • OutputQueue episode URLs by show and topicAirtableAirtable

What it does

This workflow takes a topic or keyword and finds podcasts that regularly cover it, building the upstream pipeline for backlink prospecting. It uses neural search to surface relevant shows, crawls each show's archive for recent episode links, and stacks those episode URLs in an Airtable queue.

When to use it

Use it at the start of a campaign when you don't yet have a podcast list. Instead of manually hunting for shows in your space, let it assemble a ranked set of episode pages you can later mine for guest websites.

How it works

  1. 1You trigger the run manually with one or more topic keywords.
  2. 2Exa performs a neural search for podcast pages matching the topic and returns candidate show URLs with relevance scores.
  3. 3A logic step keeps only results above a relevance threshold and dedupes show domains.
  4. 4Firecrawl crawls each qualifying show's archive page to collect its most recent episode URLs.
  5. 5Airtable stores each episode URL in a queue table, tagged with show name and topic, ready for the show-notes harvester.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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