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Salary Benchmarks — Live Pay Bands from Job Postings

Extract salary bands from live remote job postings: min, max, midpoint, currency and an annualised figure. Reports coverage honestly — only postings that disclose pay become rows.

Salary Benchmarks — Live Pay Bands from Job Postings returns 20 documented output fields, including id, source, title, company and location. Every field carries a declared type, a written description and an example value. 2 runs are recorded on Apify.

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20
Output fields
5
Inputs
2
Runs
2026-10-23
Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

FieldTypeWhat it holdsExample
idstringStable row identity across sources.jobicy|1|senior-finance-manager|duckduckgo
sourcestringWhich feed produced the row: jobicy or remoteok.jobicy
titlestringThe role as posted.Senior Finance Manager
companystringThe hiring company.DuckDuckGo
locationstringWhere the role is based, as the source states it.Canada, USA
levelstringSeniority when the source publishes it.Senior
industrystringIndustry when the source publishes it.Finance
salaryMinnumberThe bottom of the posted range, in the posted period and currency.190500
salaryMaxnumberThe top of the posted range.214767
currencystringISO currency code, or 'not stated'. Never converted.USD
periodstringThe period the posted figures are in: yearly, monthly, hourly and so on.yearly
annualMinnumbersalaryMin annualised. Equals the raw value when the period is yearly.190500
annualMaxnumbersalaryMax annualised.214767
annualMidnumberMidpoint of the annual range — null when only one end was posted.202634
annualisedbooleanTrue when a non-yearly figure was converted, so the assumption is visible.false
annualAssumptionstringThe conversion applied, e.g. 2080 hours per year for hourly pay. Null when no conversion was needed.2080 hours per year for hourly; 12 months for monthly
rangeWasInvertedbooleanTrue when the source posted max below min; the row is ordered and the swap is disclosed.false
publishedAtstringWhen the posting was published.2026-10-18
urlstringThe posting.https://example.com/j/1
scrapedAtstringWhen this run fetched it.2026-10-19T12:00:00Z

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "id": "jobicy|1|senior-finance-manager|duckduckgo",
  "source": "jobicy",
  "title": "Senior Finance Manager",
  "company": "DuckDuckGo",
  "location": "Canada, USA",
  "level": "Senior",
  "industry": "Finance",
  "salaryMin": 190500
}

03 — input

What you give it

InputTypeDescription
sourcesarrayoptionalWhich feeds to read.
keywordsstringoptionalComma-separated words matched against the title, industry and level. Leave blank for every role.
minAnnualSalaryintegeroptionalDrop rows whose midpoint is below this, in their own currency. 0 keeps everything.
maxItemsintegeroptionalHard limit.
timeoutSecsintegeroptionalPer source.

04 — run

Run Salary Benchmarks on your own input

It runs in the cloud on Apify. Check its current price and billing events on the Apify page before you run it.

Open on Apify ↗

05 — questions

Asked before running it

19 of 20 fields described

What does Salary Benchmarks — Live Pay Bands from Job Postings return?
It returns 20 documented output fields: id, source, title, company, location, level, industry, salaryMin, salaryMax, currency, period and annualMin. Each field declares its type, a description of what it holds, and an example value. The remaining 8 are listed in the output schema below.
What input does Salary Benchmarks — Live Pay Bands from Job Postings take?
The schema marks all 5 inputs optional. Check the field descriptions and credential requirements before running.
Does Salary Benchmarks — Live Pay Bands from Job Postings need an API key or login?
No input field is marked secret. Check the Actor documentation for any source access requirements.
How do I run Salary Benchmarks — Live Pay Bands from Job Postings?
It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.