LinkedIn Job Change Tracker

Track LinkedIn job changes at scale — the people who started a new role, left a company or were promoted — filtered by company, job title, location and recency, and exported as a structured feed to JSON, CSV or Excel.

Cookieless · Fresh data · No LinkedIn login or account risk.

Watch the demo

Video tutorial coming soon.

What you get

A job change is the highest-intent buying signal in B2B. A new VP of Engineering buys differently in week three than in month nine, and the champion who just left your customer is the reason that account is about to churn. This actor returns those events as a feed you can poll — with the person and the company already attached, so one call gives you something you can act on immediately.

Each event includes:

• event_type — joined, left or title_change
• changed_at — when the change took effect
• detected_at — when it was detected
• detection_lag_days — the gap between the two (lower is fresher)
• title.current / title.previous — the new title and, where meaningful, the one it replaced
• person — profile id, handle, full name, first/last name, headline and LinkedIn URL
• organization — organization id, name and LinkedIn URL
• flattened convenience fields: person_full_name, person_headline, person_linkedin_url, organization_name, organization_linkedin_url, title_current, title_previous

Output example:

{
  "event_type": "title_change",
  "changed_at": "2026-05-01T00:00:00Z",
  "detected_at": "2026-05-01T17:20:04.389921Z",
  "detection_lag_days": 0,
  "title": { "current": "Data Engineer", "previous": "Data Analyst" },
  "person": {
    "profile_id": "dm_prsn_tnd66ysw4lmt4yighsalfnmf2tcanlpmp3exh6q",
    "handle": "lecomte-quentin",
    "full_name": "Quentin Lecomte",
    "headline": "Data Engineer @ Aktivco | Camusat Group",
    "linkedin_url": "https://linkedin.com/in/lecomte-quentin"
  },
  "organization": {
    "organization_id": "dm_org_33u32yb3sh56d6jxiw3lzljselgver2p4ons6",
    "name": "AktivCo",
    "slug": "activco",
    "linkedin_url": "https://www.linkedin.com/company/activco"
  },
  "person_full_name": "Quentin Lecomte",
  "person_linkedin_url": "https://linkedin.com/in/lecomte-quentin",
  "organization_name": "AktivCo",
  "organization_linkedin_url": "https://www.linkedin.com/company/activco",
  "title_current": "Data Engineer",
  "title_previous": "Data Analyst",
  "input_page": 1,
  "fetched_at": "2026-09-23T00:00:00Z"
}

Input

Field	Type	Description
company_urls	string[]	LinkedIn company URLs or company page names, e.g. google for /company/google/ (up to 50 companies combined with organization_ids)
organization_ids	string[]	Organization IDs (dm_org_...) from a previous run — faster than URLs once you have them
event_type	string	any (default), joined, left or title_change
title	string	Word-match on the new job title (min 3 characters)
geo_city	string	Partial city match (min 3 characters)
geo_country_code	string	Two-letter country code, e.g. DE
days_ago	integer	Recency window on detection time, 1–365 days
max_results	integer	Maximum events to save (default 100, 0 = no limit, 40-page safety cap)
limit_per_page	integer	Events per page, 1–50 (default 25)

How to use it

1. Optionally add company URLs or company page names (or organization_ids from a previous run).
2. Optionally filter by event type, job title, city, country code and recency.
3. Set Maximum results (default 100) and click Start.
4. Download the dataset as JSON, CSV, Excel, XML or another Apify export format.

Example — who just joined engineering roles in Germany in the last week:

{
  "event_type": "joined",
  "title": "Engineering",
  "geo_country_code": "DE",
  "days_ago": 7,
  "max_results": 100
}

Results are sorted by freshness. The feed opens with same-day detections; events detected long after the fact surface as you page deeper. Every real dated event is included — a stale one is ordered later, never dropped.

Use cases

• Champion tracking — re-engage the power users and decision-makers who changed jobs, at their new company, while the relationship is still warm.
• Customer churn signals — see who just left an account you serve and get ahead of the renewal conversation.
• Territory and hiring-signal prospecting — find companies hiring into a function, or people promoted into budget-owning roles, and reach out with timely context.
• Enrichment and routing — feed new-role events into your CRM, scoring and routing workflows so the right rep sees them first.
• AI-agent context — give an agent structured job-change context before drafting outreach.

Pricing

The actor costs $4 per 1,000 job-change events ($0.004 per event).

Integrations

Run from Apify Console or call it through the Apify API. Results land in the default dataset and can feed HubSpot, Salesforce, Clay, Make, Zapier, n8n, webhooks, Google Sheets, Airtable, databases, and Apify MCP Server for AI agents. Use schedules to poll page 1 and catch new events as they are detected.

Other LinkedIn Actors by data-slayer

Actor	What it does
LinkedIn Job Scraper	Full details for LinkedIn job postings
LinkedIn People Search (ICP)	Find people by title, seniority, function, company, location
LinkedIn Company Employees	Employees at a company, filtered by title, seniority and function
LinkedIn Company Search (ICP)	Find companies by industry, size, location and tech stack
LinkedIn Profile Scraper	Full profile data from any LinkedIn profile URL
LinkedIn Profile Posts Scraper	Recent posts from a profile, with engagement metrics
LinkedIn Company Scraper	Full company profile data
LinkedIn Company Posts Scraper	Recent posts from any company page
LinkedIn Post Performance Scraper	Likes, comments, shares and reaction breakdown for any post
LinkedIn Post Engagers Scraper	Everyone who engaged with a post — commenters, reactors, reposters
LinkedIn Post Comments Scraper	Every comment on a post, with commenter profiles
LinkedIn Post Reactions Scraper	Everyone who reacted to a post, with reactor profiles
LinkedIn Post Reposts Scraper	Everyone who reposted or shared a post
LinkedIn Profile Engagers Scraper	Everyone who engaged across a profile's recent posts, ranked by engagement
LinkedIn Profile Reactions Scraper	Reactions a profile left on other people's posts
LinkedIn Profile Comments Scraper	Comments a profile left on other people's posts

Which LinkedIn actor should I use?

I have…	And I want…	Use
A company URL	People who recently changed jobs	LinkedIn Job Change Tracker
A job URL or ID	Full job details	LinkedIn Job Scraper
Search filters	People matching an ICP	LinkedIn People Search (ICP)
A company URL	Its employees, by title/seniority/function	LinkedIn Company Employees
Search filters	Companies matching an ICP	LinkedIn Company Search (ICP)
Profile URL(s)	Full profile data	LinkedIn Profile Scraper
A company URL	Full company profile	LinkedIn Company Scraper

FAQ

Can I track LinkedIn job changes without login or cookies?

Yes. The actor uses public data and requires no LinkedIn account, session cookies or browser extension.

What event types can I track?

joined (started a new role), left (left a company), title_change (promoted or retitled) — or any for all three.

How fresh are the events?

Results are sorted by freshness and each event carries detection_lag_days. Poll page 1 on a schedule and stop when the lag exceeds what you have already processed.

Can I track specific companies?

Yes — pass LinkedIn company URLs or company page names, or the organization_ids returned by a previous run.

Can I filter by title or location?

Yes. title word-matches the new job title, and geo_city / geo_country_code narrow by place. The location filters narrow results but are not echoed back on events — fetch the person's profile if you need their location.

Is this a LinkedIn job change API?

Yes. Call the actor through the Apify API, receive a run ID and retrieve structured results from the default dataset. AI agents can also call it through Apify MCP Server.

What formats can I export?

JSON, CSV, Excel, XML and the other Apify dataset export formats.

How much does it cost?

$0.004 per event — $4 per 1,000 job changes.

Limits and data notes

• Only process data you are permitted to use and comply with applicable laws and platform terms.
• Company URLs that are not yet tracked are rejected by the provider; use the organization_ids returned from a successful run afterwards.
• title.previous is only meaningful for title_change and left; a joined event has no title to have replaced.

Feedback and support

Found a bug or need a filter added? Open an issue on the actor's Apify page and it will be reviewed.

Related actors

More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

Actor	What it does
LinkedIn Account Intent Feed	LinkedIn workflow
LinkedIn Buying-Committee Mapper	LinkedIn workflow
LinkedIn Champion Tracker	LinkedIn workflow
LinkedIn Company Employees	LinkedIn workflow
LinkedIn Company Posts Scraper	LinkedIn workflow
LinkedIn Company Scraper	LinkedIn workflow
LinkedIn Company Search (ICP)	LinkedIn workflow
LinkedIn Competitor Content Intelligence	LinkedIn workflow
LinkedIn Competitor Hijack Leads	LinkedIn workflow
LinkedIn Engagement Audience Builder	LinkedIn workflow
LinkedIn Executive Post Monitor	LinkedIn workflow
LinkedIn Hiring Pulse	LinkedIn workflow
LinkedIn Job Scraper	LinkedIn workflow
LinkedIn Market Map Builder	LinkedIn workflow
LinkedIn People Search (ICP)	LinkedIn workflow
LinkedIn Post Comments	LinkedIn workflow
LinkedIn Post Engagers Scraper	LinkedIn workflow
LinkedIn Post Performance Scraper	LinkedIn workflow
LinkedIn Post Reactions	LinkedIn workflow
LinkedIn Post Reposts	LinkedIn workflow
LinkedIn Profile Comments	LinkedIn workflow
LinkedIn Profile Engagers Scraper	LinkedIn workflow
LinkedIn Profile Posts Scraper	LinkedIn workflow
LinkedIn Profile Reactions	LinkedIn workflow
LinkedIn Profile Scraper · Fresh · No Cookies	LinkedIn workflow
LinkedIn Skill Mapper	LinkedIn workflow
LinkedIn Talent Flow Mapper	LinkedIn workflow
LinkedIn Talent Mapper	LinkedIn workflow
LinkedIn Warm Path Finder	LinkedIn workflow
LinkedIn Why-Now Account Brief	LinkedIn workflow