LEAD GENERATION

Convert a conference PDF program into a scored prospect list in Airtable

Triggered by uploading a conference PDF program or attendee booklet, it extracts every listed company, enriches and scores each against your ICP.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerConference PDF uploaded to watched Drive folderGoogle DriveGoogle Drive
  • ActionFirecrawl parses PDF and extracts companiesFirecrawl
  • ActionExa enriches company firmographicsExa
  • LogicScore ICP fit and drop low-fit entries
  • OutputWrite qualified prospects to AirtableAirtableAirtable

What it does

Takes the PDF program or attendee booklet most conferences hand out and turns it into structured, scored leads. It parses the document, pulls out every company and listed contact, enriches each with web firmographics, scores ICP fit, and lands the qualified prospects in Airtable ready for outreach.

When to use it

Use it when the only attendee data you have is a downloaded PDF agenda, sponsor brochure, or printed booklet you scanned. Common after the event when you want to mine the program you collected on-site, with no live web directory to scrape.

How it works

  1. 1You upload the conference PDF to the watched Drive folder, which triggers the run.
  2. 2Firecrawl parses the document and extracts company names, sessions, and any contacts.
  3. 3Exa enriches each company with industry, size, and website.
  4. 4A scoring step rates ICP fit and drops low-fit entries.
  5. 5Qualified prospects are written to Airtable with score, source program, and page reference.
  6. 6A completion summary with counts is sent to the requester.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google DriveDocs, sheets, slides, files.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  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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