Search jobs in Brazil
VAGAS.com.br job search by keywords and city, sorted by relevance or newest, 40 jobs a page (pass next_page back as page): title, id, company, level, openings, summary, location, posting date, company logo and link, plus the total and the counts of the site's filters (work model, contract, state, level, area, benefits).
Every response includes credits_used: the credits this call cost.
Parameters
| name | type | description |
|---|---|---|
qrequired | string | Job title or keywords (e.g. desenvolvedor, analista financeiro, enfermeiro). Example: desenvolvedor |
city | string | City (e.g. sao-paulo, rio-de-janeiro, belo-horizonte). |
sort | relevance | newest | relevance (default) or newest. |
page | integer | Page number, 1-100 (40 jobs a page). Pass next_page back as page; null on the last page. |
Every endpoint also takes fresh, raw, fields (see lean responses and caching).
Example
curl "https://api.api.sh/vagas/v1/search?q=desenvolvedor" \
-H "x-api-key: $APISH_KEY" import os, requests
res = requests.get(
"https://api.api.sh/vagas/v1/search",
params={"q": "desenvolvedor"},
headers={"x-api-key": os.environ["APISH_KEY"]},
timeout=120,
)
res.raise_for_status()
data = res.json() const url = new URL("https://api.api.sh/vagas/v1/search");
url.searchParams.set("q", "desenvolvedor");
const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${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).