Bumeran, Zonajobs, Laborum & Multitrabajos Jobs Scraper (LatAm)

One Actor to scrape Latin America's leading job boards, which share the same platform: Bumeran and Zonajobs (Argentina, Peru, Venezuela), Laborum (Chile), Multitrabajos (Ecuador) and Konzerta (Panama), about 70,000 live jobs as clean structured data.

Country	Job board	Live postings (Oct 2026)
Argentina	Bumeran, Zonajobs	~9,700
Chile	Laborum	~16,500
Peru	Bumeran	~35,000
Ecuador	Multitrabajos	~5,800
Panama	Konzerta	~3,000
Venezuela	Bumeran	~700

What you can do with it

• Monitor hiring across Latin America: new postings by country and keyword, every day.
• Feed a job alert, an aggregator or a recruiting CRM: run daily with "Published within 1 day".
• Find companies that are hiring: employers recruiting for a role in several countries.
• Study the market: work modes (remote, hybrid, on site), contract types and locations.

Input

Field	What it does
Countries	One or several countries. Default: Argentina.
Keywords	Job title or skill, using the job boards' own search. Empty means every posting.
Published within (days)	Keep only recent postings. Use 1 for daily monitoring.
Maximum number of postings	The run stops once this many postings are saved, across all countries.
Include full descriptions	Adds the job description as plain text.

Output

One record per posting:

{
  "id": "1118462044",
  "url": "https://www.bumeran.com.ar/empleos/jefe-a-de-estacion-de-servicio-1118462044.html",
  "country": "argentina",
  "jobBoard": "Bumeran / Zonajobs",
  "title": "Jefe/a de Estación de Servicio",
  "companyName": "combustibles",
  "confidentialCompany": false,
  "location": "La Plata, Buenos Aires",
  "workType": "Full-time",
  "workMode": "Presencial",
  "vacancies": 1,
  "suitableForDisabled": false,
  "areaId": 1,
  "subareaId": 22,
  "publishedAt": "2026-09-30T11:54:53",
  "updatedAt": "2026-09-30T17:10:20",
  "companyLogoUrl": null,
  "description": "Buscamos un Jefe/a de Estación de Servicio para liderar…"
}

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

Good to know

• Up to 100 postings per request: large extractions are fast and cheap, no browser needed.
• If a job board refuses Apify's cloud addresses (Laborum often does), the Actor switches that board to your Apify Proxy automatically.
• When an employer publishes confidentially, companyName is empty and confidentialCompany is true.
• Dates are local to each job board.
• No candidate or recruiter personal data is collected.

Pricing

Pay per result: $2.00 per 1,000 postings, plus $0.00005 per run start. For example, 100 postings cost about $0.20. You only pay for the postings you receive, and platform usage is included in that price.

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/latam-jobs-bumeran-scraper').call({
  countries: ['argentina'],
  keywords: 'desarrollador',
  publishedWithinDays: 7,
  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/latam-jobs-bumeran-scraper").call(run_input={
    "countries": [
        "argentina"
    ],
    "keywords": "desarrollador",
    "publishedWithinDays": 7,
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Frequently asked questions

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

How do I get only the new postings every day? 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.

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

Can I connect it to Make, Zapier, n8n or Google Sheets? Yes, through Apify integrations and webhooks.

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.

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