Pay Band Calculator

You already have the job data — your own openings, an ATS export, a competitor feed, the output of a job scraper. What you need is the band: what does a senior engineer get here, what does the middle 80% look like, and how many jobs is that based on. Give this Actor the jobs, with the pay as numbers or as the posting text, and get median, p10, p25, p75 and p90 yearly pay per department, seniority, title or location — one band per currency, never mixed. Nothing is scraped: the Actor only reads what you send.

$0.005 per band ($5 per 1,000 bands), plus $0.01 per run.

The last step of a three-step job data toolkit. Each step reads data you already have:

1. Job Posting Parser: posting text → pay, skills, remote, visa
2. Job Title Normalizer: title → department, seniority, core title
3. Pay Band Calculator (this one): jobs → median and p10–p90 yearly pay per group

The rows of the Job Posting Parser and of our LinkedIn Salary Scraper go in as they are, and so do other scrapers' rows that have title and description.

Example

Input (five jobs: numbers, an hourly rate, and one posting given as text):

{
  "postings": [
    { "title": "Senior Software Engineer", "location": "Austin, TX", "salaryMin": 150000, "salaryMax": 185000, "currency": "USD", "period": "year" },
    { "title": "Software Engineer II", "location": "Remote, US", "salaryMin": 120000, "salaryMax": 150000, "currency": "USD" },
    { "title": "Sr. Software Engineer (Backend)", "location": "New York, NY", "description": "The base salary range for this role is $165,000 - $200,000 per year. Sign-on bonus: $15,000." },
    { "title": "Software Engineer", "location": "Denver, CO", "salaryMin": 55, "salaryMax": 65, "currency": "USD", "period": "hour" },
    { "title": "Product Manager", "location": "Austin, TX", "salaryMin": 140000, "salaryMax": 170000, "currency": "USD" }
  ],
  "groupBy": ["function", "seniority"]
}

Output (a real run of this input, shortened):

function	seniority	currency	postingsWithPay	p10	median	p90	lowSample
engineering	senior	USD	2	169,000	175,000	181,000	true
engineering	mid	USD	2	125,820	129,900	133,980	true
product	mid	USD	1	155,000	155,000	155,000	true

"Senior" and "Sr." land in the same band; the $55–65 hourly rate counts as $124,800 a year; the $15,000 sign-on bonus is not read as pay. With five jobs every band is lowSample — with your real data the bands fill up. On 320 real LinkedIn postings (122 with pay) the same run gave 13 bands across USD, CAD, EUR, AUD and INR.

Run it again and again

• On a schedule — save your input as a task and add a Schedule: every week or month on that period's postings. Send each run to Google Sheets, Slack or email with an integration on the task.
• Watch for changes — Run the same Group by each time: the bands line up period by period.
• In bulk — Send the whole period's postings in Postings in one call.

How a band is made

• One number per job: the middle of its range, as yearly pay (hour × 2,080, day × 260, week × 52, month × 12). A job with only "from X" or "up to X" counts at that number. The period is read from period or salaryPeriod; a yearly figure already worked out (annualMin/annualMax or annualSalaryMin/annualSalaryMax) is used as it is.
• Pay given as text is read with the same reader as our LinkedIn Salary Scraper: an amount counts only when it carries a pay signal of its own, so bonuses, funding and budgets are left out. A bare $ is read as the local dollar when the location is in Canada, Australia and other dollar countries.
• Department, seniority and the title without level words come from the title, with the same rules as the Job Title Normalizer.
• Currencies are never converted or mixed: each currency gets its own band.
• Fewer than 5 jobs with pay: the band is still returned, with lowSample: true and a note.

What you get

Field
function, seniority, coreTitle, location	the grouping you chose
currency	the band's currency
postingsWithPay	jobs in the band with readable pay
postingsWithoutPay	jobs with the same grouping but no readable pay (they have no currency, so the count is shown on every currency's band of that group)
p10, p25, median, p75, p90, min, max	yearly pay
lowSample, note	fewer than 5 jobs with pay

Use it for

• Offers and pay reviews — where a number sits against your own openings or the market data you collected
• Pay transparency — the band you will publish, checked against what is already out there
• Market reports — bands from any job scraper's output, without spreadsheets

Pricing

$0.005 per band ($5 per 1,000 bands), plus $0.01 per run. A run over 10,000 jobs grouped by department and seniority is typically a few dozen bands. Bands with no pay are free.

For AI agents

Call with {"postings": [{"title": "...", "salaryMin": 100000, "salaryMax": 130000, "currency": "USD"}], "groupBy": ["seniority"]} — a few seconds. Each row has type: "band".

Related

Bands straight from live LinkedIn postings for a title and place: LinkedIn Salary Benchmark. Pay, skills, remote and visa per posting: Job Posting Parser.