MARKET RESEARCH

Target-account job-posting delta to strategic-intent brief

Weekly scrape of each target account's careers page detects new and removed job postings.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionLoad target accounts from AirtableAirtableAirtable
  • ActionScrape each account's job postingsApify
  • LogicDiff against last snapshot, drop no-change accounts
  • ActionDraft strategic-intent brief from the deltaOpenAI
  • OutputWrite brief + new snapshot to AirtableAirtableAirtable

What it does

Tracks the live job postings of every account on your target list, computes the week-over-week delta (roles added, roles removed), and turns that delta into a plain-English read on where the company is investing. Sellers get a short brief instead of a raw job dump.

When to use it

When your ICP is mid-to-large companies whose org moves are visible in hiring, and you want account-based talking points grounded in what they are actually building rather than press releases.

How it works

  1. 1A weekly schedule fires the run for the account list held in Airtable.
  2. 2Apify scrapes each account's careers/jobs page and returns the current open roles.
  3. 3The flow diffs the new role set against last week's stored snapshot to isolate added and removed postings.
  4. 4A logic step drops accounts with no meaningful change so you only brief on movement.
  5. 5OpenAI reads the delta and writes a strategic-intent brief: likely new initiatives, tech bets, and which roles signal them.
  6. 6The brief and the refreshed snapshot are written back to Airtable for the account record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect ApifyActors, scrapers, datasets.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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