Gupy Jobs Scraper · Any Company, No Login

Extract job postings from any company's public Gupy career board. Gupy is Brazil's largest applicant tracking system, used by thousands of employers (Ambev, Stone, Localiza, WEG and many more) at their own <company>.gupy.io subdomain. No login, no browser: title, department, location, workplace type, accessibility flag and full description (requirements, responsibilities and benefits), read straight from the page's own data.

What you can do with it

• Monitor any Brazilian employer's open roles. Point it at a company's Gupy subdomain and get every current posting in one run.
• Cover many employers at once. List several subdomains and get a combined, deduplicated feed.
• Track accessibility-targeted postings. handicapped flags vacancies Gupy marks as open to PCD (persons with disabilities) candidates.
• Feed a Brazilian job alert or aggregator. Structured fields and a stable id per company make deduplication easy.

Input

Field	What it does
companies	Gupy company subdomains, taken from a company's career page URL, for example ambev from ambev.gupy.io. Leave empty to run a default set of companies.
keywords	Keeps only postings whose title or department contains this text (case-insensitive). Empty means every posting.
maxItems	The run stops once this many postings are saved, across all companies combined (default 100).
includeDescriptions	Fetch each posting's own page for the full description, requirements, responsibilities and benefits. Slower (one extra request per posting).

Example input:

{
  "companies": ["ambev", "weg"],
  "keywords": "",
  "maxItems": 100,
  "includeDescriptions": true
}

Output

One record per posting:

{
  "id": "ambev:11851251",
  "company": "ambev",
  "title": "Ajudante de Armazém (Transportadora Piracicaba/SP)",
  "department": "Logística",
  "jobType": "vacancy_type_talent_pool",
  "location": "Piracicaba, São Paulo, Brasil",
  "workplaceType": "on-site",
  "handicapped": true,
  "publishedAt": "2026-07-28T20:30:37.719Z",
  "expiresAt": "2026-12-31",
  "url": "https://ambev.gupy.io/jobs/11851251?jobBoardSource=gupy_public_page",
  "description": "..."
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Why this one

• Any company, not a curated feed. Give it a subdomain and it works, instead of being limited to whatever companies a pre-built feed happens to include.
• No browser, no proxy. Every page (listing and detail) is a plain server-rendered page; this Actor reads the __NEXT_DATA__ payload Gupy's own front-end hydrates from, no rendering needed.
• Cheaper than the field's current options, which run $2.99-$5.00 per 1,000 results and sometimes bundle several unrelated sites into one feed.

Good to know

• There is no public directory of Gupy tenants: this Actor needs the subdomain(s) you want, one company per entry.
• A subdomain with no current openings answers with zero jobs, not an error; a subdomain Gupy has never hosted answers 404 and is skipped with a warning.
• Gupy rarely discloses a salary on the posting itself, so no salary field is produced.
• jobType and workplaceType are kept as Gupy's own codes (for example vacancy_type_effective, on-site), not translated.
• The dataset contains job postings only. Recruiter and candidate personal data is never exported.
• This is an unofficial tool, not affiliated with Gupy. Check the site's terms and the data protection rules that apply to your use.

FAQ

Does it need a browser or a proxy?
No. The Actor reads each page's own embedded data directly.

How do I scrape a company not in the default list?
Set companies to that company's Gupy subdomain, the part before .gupy.io in its career page URL.

Can I scrape several companies in one run?
Yes, list as many subdomains as you need in companies (up to 20).

Try it

Open gupy-jobs-scraper on the Apify Store

Em português

Este actor extrai as vagas publicadas na página pública de carreiras de qualquer empresa que usa o Gupy (

Why this one

• Any company, not a curated feed. Give it a subdomain and it works, instead of being limited to whatever companies a pre-built feed happens to include.
• No browser, no proxy. Every page (listing and detail) is a plain server-rendered page; this Actor reads the __NEXT_DATA__ payload Gupy's own front-end hydrates from, no rendering needed.
• Cheaper than the field's current options, which run $2.99-$5.00 per 1,000 results and sometimes bundle several unrelated sites into one feed.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $1.80 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.19. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/gupy-jobs-scraper').call({
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/gupy-jobs-scraper").call(run_input={
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Gupy? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

More job scrapers by the same author

• Free-Work Jobs & Freelance Missions Scraper (France)
• Infoempleo Jobs Scraper (Spain)
• Arbeitsagentur Jobs Scraper (Germany)
• Bumeran, Zonajobs & Laborum Jobs Scraper (LatAm)
• Universal Job Postings Scraper (any job site)
• Codeur.com Freelance Projects Scraper (France)