MARKET RESEARCH
Competitor Geographic Expansion Watcher
Tracks the locations attached to competitor job postings and alerts when a competitor starts hiring in a city or country where they had no prior roles, signaling market entry.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled run fires
- ActionScrape postings and extract locationsApify
- LogicRoll up to city and country per competitor
- ActionDiff against known-geographies tableAirtable
- LogicKeep only net-new geographies
- OutputTeams alert on market entryMicrosoft Teams
What it does
Location is one of the loudest hiring signals: a company hiring its first three people in Singapore is almost certainly entering that market. This workflow ignores what roles competitors post and focuses entirely on *where*, alerting when a new geography appears in a competitor's hiring map.
When to use it
Use it when geographic expansion is the threat or opportunity you care about, for example if you compete regionally and want to know the moment a rival plants a flag in your territory, or before you commit to a new market yourself.
How it works
- 1A schedule triggers the run on a regular cadence.
- 2Apify scrapes tracked competitors' postings and extracts the location field from each.
- 3A logic step rolls locations up to city and country level per competitor.
- 4It diffs the current location set against the known-geographies table in Airtable.
- 5A branch keeps only geographies that are new for that competitor and discards re-posts of existing locations.
- 6Airtable records the new geographies into the baseline.
- 7Microsoft Teams receives an alert naming the competitor, the new location, and the count of roles there.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect AirtableBases, tables, views, automations.
- 3Connect Microsoft TeamsChannels, chats, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.