LEAD GENERATION

Event Attendee Webhook to Scored Airtable Queue

Receives attendee profiles pushed from a scraper webhook, enriches and dedupes each one against an Airtable base, scores them, and appends new warm accounts while flagging…

CategoryLead Generation
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook delivers attendee profilesHTTP webhook
  • ActionResolve and normalize profile fieldsBrowserbase
  • ActionEnrich company firmographicsExa
  • LogicMatch against base, split new vs duplicateAirtableAirtable
  • ActionScore and append new warm accountsAirtableAirtable
  • OutputFlag duplicates to review viewAirtableAirtable

What it does

Accepts attendee profiles streamed in via webhook (from a browser-driven scraper or a partner feed), enriches each, checks it against your existing Airtable base, scores the fit, and appends only the genuinely new warm accounts. Likely duplicates are flagged rather than dropped.

When to use it

Use it when your scraping runs externally and pushes results in real time rather than on a schedule, or when you are stitching multiple event feeds into one base and need dedupe and scoring applied consistently at the door.

How it works

  1. 1An incoming webhook delivers one or more attendee profiles.
  2. 2Browserbase resolves and normalizes each profile's company and title.
  3. 3Exa enriches the company with firmographic context.
  4. 4A logic step checks Airtable for an existing match and routes new versus duplicate.
  5. 5New accounts are scored and appended to the queue.
  6. 6Probable duplicates are written to a review view for a human to confirm.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect ExaNeural search across the web.
  4. 4
    Connect AirtableBases, tables, views, automations.
  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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