MARKET RESEARCH

Tag conference speakers as competitors or prospects

Scrapes an event's published speaker lineup, enriches each speaker's company, and classifies every name as competitor, prospect, partner, or noise into an Airtable target list.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator submits the conference agenda URL
  • ActionScrape speaker lineup with names, titles, companies, sessionsFirecrawl
  • ActionEnrich each speaker's company with size and funding signalsExa
  • ActionClassify each speaker as competitor, prospect, partner, or noiseOpenAI
  • LogicFilter out speakers tagged noise
  • OutputWrite triaged target list to AirtableAirtableAirtable

What it does

Takes a conference agenda URL, extracts the full speaker lineup, looks up each speaker's current company and role, and labels every entry as competitor, prospect, partner, or noise. The result is a triaged Airtable table you can work before the event.

When to use it

Run it the day a conference publishes its speaker page. Instead of reading a 200-name agenda by hand, you get a sorted list showing exactly which sessions feature your competitors and which feature accounts you want to land.

How it works

  1. 1You paste the agenda URL and kick off the run.
  2. 2Firecrawl scrapes the speaker page and pulls names, titles, companies, and session slots.
  3. 3For each speaker, Exa searches for their current company, headcount, and recent funding signals.
  4. 4OpenAI classifies each speaker against your ICP and competitor list, assigning a label and a one-line rationale.
  5. 5A filter drops anyone tagged noise so the sheet stays clean.
  6. 6Classified, enriched rows land in Airtable with label, company, session, and rationale columns.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

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