Naukri company jobs

Open jobs of one company on Naukri (its careers page on the site), with the same filters, facets and job fields as /naukri/v1/search. Pass next_page back as page; null on the last page. Named filters (industry, department, role, education, company_type, company, city ...) take the ids shown in facets and work like filter.

Every response includes credits_used: the credits this call cost.

Parameters

Every endpoint also takes fresh, raw, fields (see lean responses and caching).

Example

curl "https://api.api.sh/naukri/v1/company/jobs?company=capgemini-jobs-careers-649" \
  -H "x-api-key: $APISH_KEY"

import os, requests

res = requests.get(
    "https://api.api.sh/naukri/v1/company/jobs",
    params={"company": "capgemini-jobs-careers-649"},
    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/naukri/v1/company/jobs");
url.searchParams.set("company", "capgemini-jobs-careers-649");

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).