Salary statistics for a job title on Talent.com, for a country or one of its regions or cities: yearly 10th, 25th, 50th, 75th and 90th percentiles with the currency, the low, median and high pay per hour, day, week, two weeks, month and year, the sample size, the median by region, and the medians of related job titles.
Every response includes credits_used: the credits this call cost.
Parameters
name
type
description
jobrequired
string
Job title. Example: software engineer
location
string
Region or city within the country (e.g. texas, ontario, london); leave out for the whole country.
country
string
Country site, two-letter code: us (default), gb, fr, de, au, in and the other Talent.com countries.
import os, requests
res = requests.get(
"https://api.api.sh/talent/v1/salary",
params={"job": "software engineer"},
headers={"x-api-key": os.environ["APISH_KEY"]},
timeout=120,
)
res.raise_for_status()
data = res.json()
const url = new URL("https://api.api.sh/talent/v1/salary");
url.searchParams.set("job", "software engineer");
const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const data = await res.json();
Response
A JSON object with the fields described above, plus raw (the source's own data), cached, fetched_at and credits_used. Errors return {"success": false, "error": "…"} with the HTTP status (see errors). A lookup that ran but found nothing (404) costs the price above; refused calls and errors on our side are free (what's charged).
The fastest way to see the full response is the playground: it runs this endpoint with your account and shows the exact JSON.