LEAD GENERATION

Build a reviewable conference lead staging table in Airtable

Scrapes a conference exhibitor or attendee list into an Airtable staging base with enrichment and a fit score, leaving a human review checkbox before any record is marked approved.

CategoryLead Generation
Enginesim
Difficultybeginner
Triggermanual
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts run with event list URL
  • ActionBrowserbase scrapes exhibitor/attendee entriesBrowserbase
  • ActionExa enriches company firmographicsExa
  • LogicAssign 0-100 fit score with reason
  • ActionWrite draft rows to Airtable staging baseAirtableAirtable
  • OutputPost batch summary and review link to SlackSlack

What it does

Creates a human-in-the-loop staging pipeline. It scrapes the event list, enriches each company, scores fit, and lands every prospect in an Airtable base as a draft row with an Approve checkbox. Nothing is treated as a real lead until a person checks it, keeping noisy scraped data out of your CRM.

When to use it

Use it when scrape quality is uncertain or the list is large and you want a teammate to eyeball prospects before committing. Good for ops or SDR leads who own list hygiene and don't want auto-imported junk in the pipeline.

How it works

  1. 1You start the run with the exhibitor or attendee list URL.
  2. 2Browserbase extracts each company name, booth or session, and any listed contact.
  3. 3Exa enriches with website, industry, and employee count.
  4. 4A scoring step assigns a 0-100 fit score and a short reason.
  5. 5Every prospect is written to an Airtable staging base with status Draft and an empty Approve checkbox.
  6. 6A Slack message summarizes the batch and links the reviewer to the base.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BrowserbaseHeadless browsers, sessions, replays.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect AirtableBases, tables, views, automations.
  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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