MARKET RESEARCH
Competitor Headcount Velocity Snapshot to Postgres
Counts each competitor's open postings by role category on a schedule and writes a timestamped snapshot to Postgres.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled snapshot fires
- ActionScrape all competitor job boardsApify
- LogicBucket and count postings by category
- LogicStamp counts with run date
- OutputAppend snapshot to Postgres time seriesPostgres
What it does
A single scrape tells you a competitor's current openings; a series of scrapes tells you their *direction*. This workflow takes a periodic count of open postings per competitor per role category and appends it to a time-series table, so you can see hiring accelerate, plateau, or freeze across functions over weeks and months.
When to use it
Use it when you want quantitative trend data rather than one-off alerts: charting hiring velocity, spotting a sudden engineering freeze that may signal trouble, or correlating a rival's GTM hiring ramp with their revenue claims. It is the data-collection backbone other analyses sit on.
How it works
- 1A schedule fires the snapshot run.
- 2Apify scrapes every tracked competitor's job board.
- 3A logic step buckets postings into role categories and counts them per competitor.
- 4Each count is stamped with the run date.
- 5The rows are appended to a time-series table in Postgres, never overwriting prior snapshots.
- 6The final output confirms the snapshot, reporting the total postings captured and any competitor that returned zero results for review.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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