Job Openings Growth Rate

Give it a LinkedIn company identifier, get back how its open job postings have moved over time.

What it does

• Tracks the growth rate of a company’s open job postings over time.
• Accepts a LinkedIn id, a full LinkedIn URL, or a company name as the identifier.
• Returns the trend in postings — not the postings themselves. For the actual roles, use company_job_listings or company_job_openings.

Open roles lead headcount. A company posting more jobs this quarter will be bigger next quarter — which makes this an earlier signal than head_count_growth_rate.

Parameters

How to use it

Is hiring picking up at linkedin.com/company/stripe?

Get the job openings growth rate for these 15 companies. Sort by fastest
growing. Report credits used.

For the top 5, pull their current job listings so I can see which teams are
expanding.

Example prompts

Best prompting practices

• Shortlist first. At 3 credits this is one of the pricier company tools. Qualify with enrich_linkedin_page at 0.5 credits before you run it.
• Do not use it to read job posts. It returns a trend. Roles, titles and locations come from company_job_listings or company_job_openings at 0.3 credits.
• Pair it with headcount. Rising postings plus flat headcount means hiring has been approved but not filled — a good moment to reach out.
• Prefer the LinkedIn URL or id over the name.
• Cap the batch. “Stop after 15 and report credits used.”

Output

{
  "identifier": "linkedin.com/company/stripe",
  "job_openings_growth_rate": [
    { "period": "3m", "percent": 18.0 },
    { "period": "12m", "percent": 45.2 }
  ]
}

Credits and limits

3 credits per call, flat. Run check_credits (free) before a large batch.

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• Signals & ABM — workflows that turn hiring signals into outreach triggers

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.