LEAD GENERATION

Post-Event Speaker Roster to Outlook Follow-Up

After an event ends, scrapes the speaker and panelist roster, enriches each with role and email, logs them as opportunities in a Postgres pipeline table.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator submits final agenda URL
  • ActionScrape speaker and panelist rosterApify
  • ActionEnrich speakers with role and emailExa
  • LogicFilter undeliverable or out-of-scope speakers
  • ActionInsert speakers as opportunities in PostgresPostgreSQLPostgres
  • OutputSend session-specific follow-up via OutlookOutlook

What it does

Targets the highest-signal people at any event — the speakers and panelists — rather than the full attendee crowd. After the event, it scrapes the agenda, captures who spoke on what, enriches each with verified contact details, records them in your pipeline database, and sends a follow-up that references their specific session.

When to use it

Use it when speakers are your buyers or champions and you want a warm, specific follow-up that proves you paid attention. Run it once the agenda is final, ideally within a day of the event closing.

How it works

  1. 1You trigger the run with the event agenda URL after it concludes.
  2. 2Apify scrapes speaker and panelist names, sessions, and companies.
  3. 3Exa enriches each speaker with role, company, and verified email.
  4. 4A check filters out speakers without a deliverable email or outside scope.
  5. 5Qualified speakers are inserted into a Postgres pipeline table as opportunities.
  6. 6Outlook sends each a personalized follow-up citing their session title and topic.

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 PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect OutlookMail, calendar, contacts.
  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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