LEAD GENERATION

Conference Speaker List to Warm-Intro Finder

Scrapes the speaker lineup, enriches each speaker's company, and flags which ones your team already has a relationship with so you can ask for a warm intro before the event.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator submits speakers/agenda URL
  • ActionScrape speaker rosterApify
  • ActionEnrich thin profiles with company dataBraveBrave Search
  • ActionMatch speaker companies to CRM accountsAttio
  • LogicBranch warm (owned account) vs cold speakers
  • OutputPost warm-intro list with rep namesSlack

What it does

This pulls the full speaker roster from a conference agenda page, enriches each speaker with company details, then cross-checks your CRM to surface the speakers where someone on your team already owns the account — your best shot at a warm introduction.

When to use it

Speakers are the highest-value, hardest-to-reach people at any event. Run this when you want to prioritize which speakers to pursue and route each one to the colleague who can actually make the connection.

How it works

  1. 1You provide the agenda or speakers page URL to start the run.
  2. 2Apify scrapes speaker names, talk titles, and affiliations.
  3. 3Brave Search backfills any missing company or current-role data for thin profiles.
  4. 4Each speaker's company is matched against existing CRM accounts.
  5. 5A branch separates speakers tied to an owned account (warm path) from cold speakers.
  6. 6Warm-path speakers, with the owning rep noted, are posted to a Slack channel so reps can request intros.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect AttioReal-time CRM with structured data + powerful views.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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