Salary Data API: Pay Ranges by Job Title & Level

Salary Data API: Pay Ranges by Job Title, Level and Location

What do US companies pay a mid-level software engineer right now? This Actor answers from the pay ranges employers publish in their own job ads: about 150,000 salary-bearing postings at more than 11,000 companies, refreshed every day. You get percentiles (p10 to p90) by job title, level and country, or the individual postings behind them, each with a link to the ad.

Who uses it

• Recruiters and hiring managers checking an offer against what other companies advertise for the same role.
• Compensation teams building or reviewing pay bands by level and location.
• HR tech products and job sites that show salary estimates and want fresh numbers through an API.

What you get

A run on 15 November 2026 for software engineer in the United States returned these benchmarks (yearly pay, USD):

Level	25th percentile	Median	75th percentile	Job ads	Companies
Intern	$90,900	$101,367	$114,400	54	37
Junior	$122,500	$140,000	$150,000	85	54
Mid	$152,500	$190,000	$225,000	2,418	740
Senior	$180,521	$200,000	$222,500	2,229	783
Lead/Principal	$213,688	$239,200	$276,498	1,504	541
Manager	$167,500	$200,000	$251,125	11	9

Each benchmark row also carries p10 and p90, the currency, the data date, and up to five sample employers with links to their postings, so you can check where a number comes from.

Ask for the postings themselves and you get one row per job ad. Data engineer jobs in the US posted in the last two weeks, from the same day:

Company	Role	Level	Location	Posted range (USD per year)	Posted
Triumph	Data Engineer	Mid	San Francisco	200,000 to 400,000	13 Nov
Superhuman	Data Engineer, Foundations	Mid	San Francisco	206,000 to 290,000	13 Nov
Gatik AI	Senior Data Engineer	Senior	Santa Clara, CA	180,000 to 260,000	13 Nov
Wayve	Data Engineer, Security Analytics	Mid	Sunnyvale, CA	186,100 to 243,300	13 Nov
Block	Staff Data Engineer	Lead/Principal	Bay Area, CA	239,600 to 359,400	12 Nov

Where the numbers come from

Several US states, including California, New York, Colorado and Washington, require employers to post a pay range in job ads, and more EU countries are following. We collect the open jobs on more than 11,000 company career sites (Greenhouse, Lever and Ashby boards) every day and keep the ads that include a range.

Each ad counts once, at the midpoint of its range, converted to a yearly figure. A level with fewer than 5 ads or fewer than 5 different employers is left out, so you never quote a median that rests on one company.

Coverage is strongest in the US, and in tech hubs in particular. Europe and Canada have fewer ads with posted pay, so their benchmarks rest on smaller samples. Check the job ad count (n) and the company count (companies) before you quote a number.

Modes

Mode	What you get
benchmark (default)	Percentiles by title, level, country and currency. Set cells: true to split them by city as well. Set benchmarkByCompany: true to see one row per company.
jobs	The individual ads with posted range, yearly range, level, location, posting date and URL.
closed	Pay from ads that closed recently: the roles that were actually filled, not ads that stay up for months.

Price

$5 per 1,000 benchmark rows and $1 per 1,000 job rows. There's no start fee. The software engineer query above returned 6 benchmark rows and cost $0.03.

How to run it

Benchmarks for one role in one country:

{
  "mode": "benchmark",
  "jobTitles": ["product manager"],
  "countries": ["United States"]
}

Fresh job ads in a pay band, for sourcing or a quick market check:

{
  "mode": "jobs",
  "jobTitles": ["data engineer"],
  "countries": ["United States"],
  "minSalaryAnnual": 150000,
  "postedWithinDays": 14,
  "maxItems": 100
}

What recently filled roles paid:

{
  "mode": "closed",
  "jobTitles": ["software engineer"],
  "countries": ["United States"]
}

Ready-made searches, each with sample results on its own page:

• Software engineer salary in the US
• Data engineer salary in the US
• Machine learning engineer salary in the US
• Product manager salary in the US
• Registered nurse salary in the US
• UX designer salary in the US
• Accountant salary in the US
• Senior software engineer salary in Canada

Track pay over time

Set monitor: true and schedule the Actor daily. The first run returns everything as new. After that you get only rows that are new, changed (a pay range or level moved) or removed. You pay only for new and changed rows, so a quiet day costs nothing.

For benchmarks, output: "events" returns a row only when the 25th percentile, median or 75th percentile moves by more than changeBand (5% by default). Connect the run to Slack, email or Google Sheets through Apify integrations and you get an alert when the market moves.

Input

Field	Default	What it does
mode	benchmark	benchmark, jobs or closed.
jobTitles	["software engineer"]	Matches whole words in the job title. Leave it empty to group benchmarks by role family instead.
roleFamilies	all	For example Engineering - Data, Product Management, Sales, Healthcare/Clinical.
seniority	all	Intern, Junior, Mid, Senior, Lead/Principal, Manager, Director, Executive.
countries	all	A name or ISO code: United States, US, Germany.
locations	all	Any part of the location text: a city, state or region.
remoteOnly	false	Remote jobs only.
companies	all	Company names or board tokens.
currency	as posted	Convert to USD, EUR, GBP, CAD or AUD at the fixed rates below.
minSalaryAnnual, maxSalaryAnnual	none	Keep ads whose yearly range overlaps this band.
postedWithinDays	none	Keep ads posted in the last N days.
minDaysOpen, maxDaysOpen	none	Keep ads open at least or at most N days.
excludeEvergreen	false	Drop ads open for 180 days or more.
minSample	5	The fewest ads a benchmark needs before it's returned.
cells	false	Split benchmarks by city.
benchmarkByCompany	false	In benchmark mode, return one row per company with company, percentiles and n. Single-employer groups are allowed in this mode.
includeAggregators	false	Include job boards that repost other companies' ads.
maxItems	20	The most rows to return.
monitor, stateKey	off	Return only changes since the last run (see above).
output, changeBand	rows, 0.05	events returns only benchmark moves bigger than changeBand.

Output fields

Benchmark row: query, roleFamily, seniority, country, city (cells only), company (company benchmarks only), currency, period, p10, p25, p50, p75, p90, n, companies, sampleCompanies, sampleJobUrl1 to sampleJobUrl3, dataAsOf.

Job row: company, title, roleFamily, seniority, location, country, remote, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryAnnualMin, salaryAnnualMax, url, postedAt, firstSeen, ageDays, daysOpen, dataAsOf.

Every column is flat, so the results open cleanly in Excel or Google Sheets.

Currency conversion

Leave currency empty to keep each ad's own currency. If you set one, the Actor converts with these fixed rates from 8 November 2026 (value of one unit in USD): EUR 1.08, GBP 1.29, CAD 0.73, AUD 0.65, CHF 1.13, SEK 0.096, NOK 0.094, DKK 0.145, PLN 0.26, INR 0.012, JPY 0.0064, SGD 0.78, NZD 0.60, HKD 0.128, BRL 0.19, MXN 0.055, ZAR 0.058, ILS 0.27.

FAQ

Is this survey data? No. Every number comes from a pay range an employer published in a job ad. Nobody self-reports anything.

Are posted ranges what people actually earn? They're what the employer advertised. Final offers can land anywhere in the range, and bonuses and equity usually aren't included.

Why is a level or city missing? It had fewer than 5 ads or fewer than 5 employers. Lower minSample if you want thinner samples, and check n and companies before you rely on them. With benchmarkByCompany: true, single-employer groups are returned when they meet minSample.

How do you compute the median? Each ad contributes the midpoint of its range, converted to a yearly amount (hourly × 2,080, daily × 260, weekly × 52, monthly × 12). Percentiles use linear interpolation over those midpoints.

How fresh is it? We collect the jobs every day. dataAsOf on each row tells you the date of the data behind it.

Can I use it from my own code? Yes. Call the Actor through the Apify API or a client library and read the dataset as JSON or CSV.

En español

Benchmarks salariales a partir de los rangos de pago que publican las empresas en sus ofertas: percentiles por puesto, nivel y país, o las ofertas individuales con su enlace. Datos actualizados cada día.

Auf Deutsch

Gehaltsdaten aus den Gehaltsspannen, die Arbeitgeber in ihren Stellenanzeigen veröffentlichen: Perzentile nach Jobtitel, Level und Land oder die einzelnen Anzeigen mit Link. Täglich aktualisiert.

Ready-made examples

Each one opens a saved run you can copy and start with one click.

• Software engineer salary in the US: Software engineer pay percentiles (p10, p25, median, p75, p90) in the United States by seniority, computed from salary ranges that employers publish in their own job posts, with the sample size and company count behind every number
• Data Engineer salary in the US: Data Engineer salary in the United States
• Machine Learning Engineer salary in the US: Machine Learning Engineer salary in the United States
• Product Manager salary in the US: Product Manager salary in the United States
• Registered Nurse salary in the US: Registered Nurse salary in the United States
• UX Designer salary in the US: UX Designer salary in the United States
• Accountant salary in the US: Accountant salary in the United States
• Senior Software Engineer salary in Canada

Use it from AI agents (MCP) and Python

AI agents. Add this Actor as a tool in Claude, Cursor, VS Code or any MCP client through the Apify MCP server. The agent reads the input schema, so a plain request is enough.

{
  "mcpServers": {
    "salary-data": {
      "url": "https://mcp.apify.com?tools=redomic/salary-data",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Python. pip install apify-client, then:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("redomic/salary-data").call(run_input={"mode": "benchmark", "jobTitles": ["software engineer"], "maxItems": 5})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

More from us

• Allabolag Scraper - Swedish Company Data: Scrape allabolag.se for Swedish company financials, industry, status and board role titles by search, org number or URL
• Ashby Jobs Scraper with Salaries: Ashby jobs scraper for any startup careers board (OpenAI, Ramp, Notion and thousands more), with salary ranges as numbers: min, max, currency, period, plus equity and bonus flags
• ATS Jobs Search: Greenhouse, Lever & Ashby Jobs API: Search 300,000+ open jobs from 11,000+ companies on Greenhouse, Lever and Ashby in one run
• Blocket Scraper: Car Monitor: Blocket scraper: each run returns up to 2,500 Blocket Bil and Torget listings as flat rows with price, make, model, year, mileage, VIN, inspections and seller
• Closed Jobs Tracker: Filled Roles & Time-to-Fill: Search closed jobs from 11,000+ companies with closedOn, daysOpen and time-to-fill signals
• Google Jobs Scraper - Job Postings API: Google Jobs and job postings scraper: get job title, company, location, posted date, salary, full description and every apply link for any search
• Google Trends API: Trending Now & Interest Over Time: Trending-now searches and new-trends alerts/monitoring per country with the news behind them, plus interest over time, interest by region, and related and rising queries for any keyword
• GovDeals Scraper: Search and monitor GovDeals government surplus auctions
• Greenhouse Jobs Monitor & Scraper: Monitor Greenhouse jobs from any company careers board (Airbnb, Stripe, Discord and thousands more)
• Job Postings Dataset: 320k+ Open Jobs, Updated Daily: 320,000+ open jobs from 10,000+ company career sites (Greenhouse, Lever, Ashby), updated daily with first-seen and closed dates
• Lever Jobs Scraper with Salaries: Lever jobs scraper for any company's careers page (Palantir, Spotify, Zoox, Shield AI and thousands more): flat rows with title, team, location, workplace, commitment, apply link, salary as numbers and the full description merged
• Marktplaats.nl Scraper: Scrape Marktplaats.nl listings into clean rows: title, price in EUR, condition, seller, location, images
• Otodom Scraper: Poland Property Listings & Price Monitor: Scrape Otodom.pl property listings in Poland
• Otomoto.pl Scraper: Scrape Otomoto.pl Polish car listings: one run returns used-car rows with price, make, model, year, mileage, fuel, gearbox, seller and URL
• Personio Jobs Scraper: Scrape open jobs from Personio company career pages (jobs.personio.de/.com XML feeds)
• SIRET Company Scraper: Search French companies by name, SIREN or SIRET
• SUUMO Scraper - Japan Property Listings: Scrape SUUMO Japan property listings from search URLs for rentals and sales
• Talabat Scraper — Menus, Prices & Delivery Fees: Talabat menus, prices and delivery fees as flat rows in 8 MENA markets
• Workday Jobs Scraper: Search and monitor public Workday (myworkdayjobs.com) job postings