MARKET RESEARCH

Map competitor geographic expansion from job locations

Aggregates competitors' job-posting locations on a schedule and updates a geographic expansion table, surfacing new cities and regions where rivals are building presence.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionScrape roles with location and teamApify
  • ActionNormalize locations and tag functionOpenAI
  • LogicFlag newly entered markets vs history
  • ActionUpdate geo-by-function matrixAirtableAirtable
  • OutputPost expansion update to SlackSlack

What it does

Reads the location field across every competitor opening and rolls it up into a living map of where each rival is expanding. New office cities, new remote-eligible regions, and concentration shifts all surface as location-level trends rather than individual postings.

When to use it

When geographic footprint is the strategic question: which markets a competitor is entering, where they are concentrating sales versus engineering, or whether they are quietly opening a hub in your backyard. Useful for territory planning and competitive positioning.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Apify scrapes all open roles with their location and team for each competitor.
  3. 3OpenAI normalizes messy location strings into city, region, and country plus a function tag (sales, engineering, ops).
  4. 4A logic step compares this run's location set to the stored history and flags newly added markets.
  5. 5Airtable holds the geo-by-function matrix per competitor over time.
  6. 6Slack posts the expansion update highlighting newly entered markets and the function driving each.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.