Vagas.com.br Scraper

hipersoft/vagas-scraper

Scrape job listings from Vagas.com.br, one of Brazil's largest job boards: title, company, level, city, state, salary range, contract type (CLT, PJ, temporary), benefits, posting and expiry dates and full description. Keyword and location filters. Export CSV/JSON.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job

$0.003

Last rebuilt

Oct 26, 2026

Overview

Vagas.com.br Scraper extracts job listings from Vagas.com, one of Brazil's largest job boards, with thousands of vagas de emprego in São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, Brasília and every state. For every job you get the title, company, level (júnior, pleno, sênior), location, city, state, salary range (faixa salarial), contract type (CLT, PJ, temporário, estágio), benefits (vale-refeição, plano de saúde, vale-transporte…), posting date, expiry date, summary and full job description. Search with Portuguese keywords, filter by location, and export to CSV, Excel or JSON. Ideal for recruiters and HR teams in Brazil, job aggregators, salary and benefits benchmarking, and labour-market research.

What does Vagas.com.br Scraper do?

🇧🇷 Brazilian jobs from Vagas.com.br.
🔎 Keyword search (analista, vendedor, motorista, desenvolvedor…).
📍 Location filter by city or state.
💰 Salary range when published.
📄 Contract type: CLT, PJ, temporary, internship.
🎁 Benefits list for benchmarking.
📝 Full description and dates.

What data can you scrape?

Field	Description
Job	ID, link, title, level, summary
Company	Company name (or "Confidencial"), logo
Location	Location, city, state
Pay	Salary range
Contract	Contract type
Benefits	Benefits list
Dates	Posted, valid through
Content	Full description

Use cases for Brazilian job data

Recruiters and HR: monitor hiring demand and competitor offers by role and city.
Benefits and salary benchmarking: compare salary bands and benefits packages.
Job aggregators: syndicate Brazilian job listings.
Labour-market research: analyse demand by level, contract type and region.

How to scrape Vagas.com.br

Click Try for free to open Vagas.com.br Scraper in Apify Console.
Enter keywords and optional locations.
Keep Full job details on.
Click Start and download the jobs as CSV, Excel or JSON.

Input

Example input

{
  "keywords": ["analista", "desenvolvedor"],
  "locations": ["São Paulo", "SP"],
  "includeDetails": true,
  "maxItems": 200
}

Field	Description
Keywords	Portuguese job keywords.
Locations	City or state filter.
Full job details	Salary, contract, benefits, description.
Max jobs	0 = no limit.

Output

Job example

{
  "jobId": "2822634",
  "url": "https://www.vagas.com.br/vagas/v2822634/analista-contabil-pleno",
  "title": "Analista Contábil Pleno",
  "company": "Confidencial",
  "level": "Pleno",
  "location": "Guarulhos / SP",
  "city": "Guarulhos",
  "state": "SP",
  "salary": "a combinar",
  "contractType": "Temporário",
  "benefits": ["Restaurante interno", "Seguro de vida", "Vale-transporte", "Auxílio estacionamento"],
  "datePosted": "2026-09-18",
  "validThrough": "2026-10-10",
  "description": "Obs: vaga temporária de 6 meses. Principais Responsabilidades: …"
}

Output schema

Field	Type	Description
`jobId`, `url`, `title`, `level`, `summary`	string	Job.
`company`, `logo`	string	Company.
`location`, `city`, `state`	string	Location.
`salary`, `contractType`, `benefits`	mixed	Terms.
`postedAt`, `datePosted`, `validThrough`	string	Dates.
`description`, `search`, `scrapedAt`	string	Content and source.

How much does it cost?

Vagas.com.br Scraper uses pay-per-job pricing: a small fixed price per job, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

More Brazilian data

Catho Scraper: Brazilian jobs from Catho.
Gupy Jobs Scraper: jobs from companies using Gupy.
Brazil CNPJ Scraper: Brazilian company data.

FAQ

Why do some jobs show "Confidencial"? Some employers hide their name on Vagas.com.br; the scraper returns what is published.

Why is salary "a combinar"? Many employers don't publish a salary band ("to be agreed").

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Vagas.com.br Scraper with other apps? Vagas.com.br Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape Vagas.com.br? The scraper only collects publicly posted job listings and no candidate data. You are responsible for using the data in line with the site's terms and LGPD.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with Vagas.com.

Input

Field	Type	Description
`keywords` Keywords	array	Job keywords in Portuguese, e.g. analista, vendedor, motorista, enfermeiro, desenvolvedor, auxiliar administrativo.
`locations` Locations	array	Optional: keep jobs in these cities or states, e.g. São Paulo, Rio de Janeiro, Belo Horizonte, SP, RJ.
`includeDetails` Full job details	boolean	Adds salary range, contract type, benefits, dates and full description. Default: `true`
`maxItems` Max jobs	integer	Stop after this many jobs (0 = no limit). Default: `200`
`proxyConfiguration` Proxy configuration	object	Not needed in most cases. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~vagas-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "analista"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/vagas-scraper").call(run_input={
    "keywords": [
        "analista"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/vagas-scraper').call({
  "keywords": [
    "analista"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job One job listing with details	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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