Gupy Jobs Scraper

What Gupy Jobs Scraper can do

• Two ways to find jobs. Run a filtered search (keyword, state, city, workplace type, job type, company, PWD only, feedback badge only) or paste portal search links and direct Gupy job links. Direct job links are always fetched in full, whatever the detail toggle is set to.
• Optional full detail enrichment. Turn on Fetch details to add the complete per job record. The detail enrichment charge only applies to a job that actually reaches the dataset, not to every detail page fetched. Jobs from direct Gupy job links are always fully fetched, so they carry the detail enrichment charge even with Fetch details off.
• Sort after collection. Order saved jobs newest, oldest, or by company name, A to Z.
• Full catalogue pagination by default. The walk covers every result page unless you cap it, and leading pages that were all collected before are skipped past rather than ending the walk. See the pagination notes below for the cases where a walk can still end early.
• Survives interruptions. A run that gets migrated or restarted mid walk reloads its already collected jobs and ids, so they are not saved twice, detail fetched again, or charged again.
• Resume across separate runs. Paste a previous run or dataset ID to keep pulling a large catalogue over several runs without re saving jobs you already have.

Choose what to collect

These inputs let you configure Gupy Jobs Scraper - Jobs, Companies, Locations & Deadlines. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": 3050001,
  "code": "9001-3050001",
  "name": "Analista de Sistemas Pleno",
  "jobUrl": "https://sample-company.gupy.io/job/eyJqb2JJZCI6MzA1MDAwMX0=",
  "description": "<p>Full HTML job description as published.</p>",
  "descriptionPlainText": "Full job description, converted to plain text.",
  "prerequisites": null,
  "city": "São Paulo",
  "state": "São Paulo",
  "stateCode": "SP",
  "country": "Brasil",
  "countryCode": "BR",
  "jobType": "vacancy_type_effective",
  "workplaceType": "hybrid",
  "isRemoteWork": false,
  "publishedAt": "2026-08-01T12:00:00.000Z",
  "applicationDeadline": "2026-09-15T23:59:59.000Z",
  "expireDays": 17,
  "companyId": 9001,
  "companySubdomain": "sample-company",
  "careerPageName": "Sample Company",
  "careerPageDisplayName": "Sample Company",
  "careerPageUrl": "https://sample-company.gupy.io",
  "hasFriendlyBadge": true,
  "badgeIsPWD": false,
  "skills": [
    "Comunicação",
    "Excel"
  ],
  "sourceQuery": {
    "searchTerm": "developer",
    "state": "São Paulo",
    "cities": [],
    "workplaceTypes": [],
    "jobTypes": [],
    "companies": [],
    "pwdOnly": false,
    "friendlyBadgeOnly": false
  },
  "detailFetched": true,
  "source": {},
  "scrapedAt": "2026-09-29T09:00:00.000Z"
}

Ways to use this data

• Recruiters and talent teams: watch a set of companies' Gupy career pages for new openings by keyword, state, or workplace type.
• Job boards and aggregators: mirror Gupy listings for a state, city, or workplace type into your own catalogue.
• Workforce and HR analytics: run the same search on a schedule with Incremental mode and track how postings and requirements change over time.
• Accessibility focused services: filter for PWD marked listings across many companies at once.
• Automation and agent builders: pipe new listings straight into Notion, Linear, or Airtable through the MCP connector field.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor