Competitor Hiring Surge & Freeze Watch - Hiring Freeze Tracker
DeprecatedPricing
from $5.00 / 1,000 job posting checkeds
Competitor Hiring Surge & Freeze Watch - Hiring Freeze Tracker
DeprecatedCompetitor hiring tracker and hiring freeze tracker for LinkedIn: get alerted which rival companies ramped up, froze, or pulled back hiring since the last check, with the job openings and closures behind each verdict. Saves a baseline per company and diffs every run for what changed.
Pricing
from $5.00 / 1,000 job posting checkeds
Rating
0.0
(0)
Developer
Domin Vo
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
20 hours ago
Last modified
Categories
Share
Competitor Hiring Surge & Freeze Watch
A competitor hiring tracker and hiring freeze tracker for LinkedIn: watch a named set of rivals and get a surge, freeze, or pullback verdict with the roles behind it.
Which of your competitors ramped up or froze hiring since last week?
One row per company you watch, with a surge, freeze, or pullback verdict, the count of roles opened and closed, and the job IDs behind each call. The Actor saves a baseline for each company, then compares every run against it — so you find out what changed, not just which roles are live today.
When an MCP agent should use this
- "Which of my competitors ramped up hiring since last week?"
- "Tell me which rival companies froze hiring this month."
- "Watch Stripe, Adyen, and Checkout.com for a hiring surge."
- "Has anyone on my watchlist quietly pulled back their open roles?"
When to use something else
| You want | Use instead |
|---|---|
| Which roles changed their salary bands | Salary Band Change Alerts |
| Which roles have been open unusually long | Stale Job & Time-to-Fill Watch |
| A one-off list of every job live right now | a raw LinkedIn job scraper |
How it works
- Collect — fetches the live LinkedIn postings for each watched company, optionally scoped by role keywords and location.
- Snapshot & diff — compares against your saved baseline for this
monitorId. - Classify — groups the opened and closed roles by company and applies a deterministic surge / freeze / pullback rule.
- Emit — writes export-ready rows (JSON / CSV / XLSX) and updates the snapshot.
Inputs
| Field | Required | Example |
|---|---|---|
companies | yes | ["Stripe","Adyen","Checkout.com"] |
keywords | no | ["engineer","product manager"] |
location | no | "United States" |
monitorId | no | "fintech-rivals" |
mode | no | "check_for_changes" (default) or "reset_baseline" |
Baseline run:
{ "companies": ["Stripe","Adyen"], "keywords": ["engineer"], "location": "United States", "monitorId": "fintech-rivals", "mode": "reset_baseline" }
Refresh run (the recurring job):
{ "companies": ["Stripe","Adyen"], "keywords": ["engineer"], "location": "United States", "monitorId": "fintech-rivals", "mode": "check_for_changes" }
Example output
A detected change:
{"companyName": "Stripe","changeType": "surge","openedCount": 14,"closedCount": 1,"openedJobIds": ["3901234567","3901234999"],"closedJobIds": ["3899111222"],"evidence": ["14 new roles opened vs 2 last check","1 role closed"],"sourceUrls": ["https://www.linkedin.com/jobs/view/3901234567/"],"snapshotDate": "2026-06-04"}
Modes
check_for_changes(default) — compare against the baseline and return which companies surged, froze, or pulled back hiring. Auto-creates the baseline on the first run, so use this almost every time.reset_baseline— save a fresh starting point and report nothing. Use only to re-baseline after you intentionally changed the companies or keywords you watch.
Billing
| Event | Price | When |
|---|---|---|
job-checked | $0.005 | One job posting is checked against the baseline and contributes to a company verdict (both modes). |
The first 10 job checks per run are free.
FAQ
Is this a hiring-trends or recruitment-market-intelligence tool?
It's the change-monitoring layer for the competitors you name — a focused hiring trends alert, not a broad market report. It watches your specific company list and tells you which ones surged, froze, or pulled back hiring since the last check, which is the slice of recruitment market intelligence most teams actually act on.
How is this different from a LinkedIn jobs scraper?
A raw scraper lists the roles live today. It can't tell you what changed without a snapshot you saved last week, re-fetched, and diffed. This Actor owns that cross-run baseline and the per-company surge/freeze rule, so one call returns the verdict instead of thousands of raw rows.
Can I use it as a headcount tracker or buying-intent signal?
Yes — as a directional headcount tracker, a sustained hiring surge on a target account is an early buying-intent signal, and a freeze or pullback is an early read on a rival stalling. You get that job-posting signal before headcount changes show up anywhere public.
Which companies are hiring right now — can it answer that?
For your watchlist, yes: each run shows which of them opened or closed roles. For a one-off "who's hiring" list across the whole market, use a raw LinkedIn job scraper instead.
Limits & support
- LinkedIn postings only — ATS and career-site sources aren't covered.
- It does not score ghost or fake jobs, detect salary-band changes, or measure how long roles stay open — see the sibling Actors above.
- The first run on a new
monitorIdis a baseline; the surge/freeze verdict begins on the next run. - A failed fetch is reported clearly, never silently treated as "no changes".