MARKET RESEARCH

Geographic-Expansion Watch

Monitors the job locations a competitor is hiring for, detects new cities or countries appearing in postings, and emails an expansion alert with the roles driving it.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionScrape roles with location fieldsApify
  • ActionLoad known-locations baselineAirtableAirtable
  • LogicDiff locations, isolate new geos
  • ActionJudge market-entry vs remote hireOpenAI
  • ActionSave new locations to baselineAirtableAirtable
  • OutputSend expansion alert emailGmailGmail

What it does

Where a company hires reveals where it is expanding. This workflow scrapes a competitor's open roles, extracts every location, and compares the location set against what you have recorded. When a new metro or country shows up — especially paired with sales, ops, or GM roles — it flags a likely market entry and tells you which postings triggered it.

When to use it

Use it when geographic moves matter to your planning: a rival opening its first EU office, pushing into a new US region, or standing up a local team ahead of a launch. Ideal for go-to-market and corp-dev teams tracking territorial overlap.

How it works

  1. 1A daily schedule fires the run.
  2. 2Apify scrapes the competitor's open roles with location fields.
  3. 3The pipeline loads the known-locations baseline from Airtable.
  4. 4A logic step diffs locations and isolates any new city or country.
  5. 5For each new location, it groups the driving roles and OpenAI judges whether the mix signals a real market entry versus a remote hire.
  6. 6New locations are saved to the baseline, and an expansion alert email is sent via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GmailRead, draft, send, label.
  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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