LEAD GENERATION

Conference Attendee Scrape to CRM-Deduped Meeting Target Sheet

Scrapes a conference attendee or speaker list, drops anyone already in your CRM, and builds a clean pre-event meeting target sheet ranked by fit.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts run with attendee-list URL
  • ActionScrape attendee/exhibitor pageApify
  • ActionLook up each contact and account in CRMAttio
  • LogicSplit known vs net-new, drop duplicates
  • LogicScore net-new contacts against ICP rules
  • OutputWrite deduped target sheetAirtableAirtable

What it does

Given a public conference attendee, speaker, or exhibitor page, this scrapes every name, title, and company, removes everyone who already exists in your CRM, and writes the remaining net-new prospects into an Airtable sheet you can work before the event.

When to use it

Run it one to two weeks ahead of any conference you're attending. Instead of manually crossing names off a PDF, you get a deduped list of people worth booking a meeting with, scored by how well they match your ICP.

How it works

  1. 1You kick it off manually with the event's attendee/exhibitor URL.
  2. 2Apify scrapes the page into structured rows (name, title, company, profile link).
  3. 3For each company and contact, the flow looks it up in Attio to check whether it already exists.
  4. 4A filter splits the list: known accounts are skipped, net-new contacts continue.
  5. 5Net-new rows are scored against your ICP rules (title seniority, company size signal).
  6. 6The deduped, scored target list is written to an Airtable grid with a meeting-status column ready for outreach.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect AttioReal-time CRM with structured data + powerful views.
  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.

Run this workflow in your colony.

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