Bumeran Jobs Scraper

Bumeran Jobs Scraper

Extract job listings from Bumeran, Argentina's largest job board, by keyword and province, a Bumeran search URL, or a direct job detail URL.

Search by keyword and province or paste any Bumeran URL, then enrich every listing with area, subarea, seniority, modality, the full job description, and the exact screening questions candidates are asked.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parsebird/bumeran-jobs-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/bumeran-jobs-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrl (string, optional — a Bumeran listing URL or direct job detail URL, overrides keyword/location), keyword (string, e.g. "developer", "marketing", default "developer"), location (string, Argentine province or "Capital Federal", default "Buenos Aires"), collectDetails (boolean, default true — enriches listings with area, subarea, seniority, full description, and screening questions), results_wanted (integer, default 20), max_pages (integer, default 2 — safety cap on search pages), proxyConfiguration (object, default { useApifyProxy: false }). Output fields: id, title, company, location, area, subarea, modality, seniority, job_type, published_date, description_text, questions, url. Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parsebird~bumeran-jobs-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

What does Bumeran Jobs Scraper do?

Bumeran Jobs Scraper is a Bumeran API alternative that turns any job search on bumeran.com.ar into structured data. It's built for job aggregation, recruiting research, and salary/market analysis across Argentina's largest job board.

• 🔍 Search by keyword and province, paste a Bumeran search results URL, or paste a single job's URL to collect just that one job
• 📍 Filter by any Argentine province, or "Capital Federal" for Buenos Aires city specifically
• 🧩 Enrich every listing with area, subarea, seniority, modality (remote/hybrid/on-site), job type, and the full job description
• ❓ Capture the exact screening questions a candidate would be asked when applying
• 📊 Cap collection with results_wanted, and bound pagination with max_pages as a safety limit
• ⏱️ Schedule recurring runs to track new postings, trigger it via the Apify API, or connect it to Zapier, Make, Google Sheets, and webhooks
• 📁 Export results as JSON, CSV, Excel, or pull them straight into your app with the Apify API

What data can you extract from Bumeran?

Field	Description
title	Job title
company	Company name
location	Human-readable job location
area / subarea	Job category and subcategory
modality	Work mode, e.g. Remoto, Híbrido, Presencial
seniority	Seniority level, e.g. Senior, Junior
job_type	Contract type, e.g. Full-time
published_date	Publication date shown by Bumeran
description_text	Plain-text job description
questions	Screening questions asked during application, when available
url	Public Bumeran job URL

How to scrape Bumeran job listings

1. Go to the Bumeran Jobs Scraper page on Apify Store
2. Click Try for free
3. Enter a Search keyword (e.g. developer) and Location (e.g. Buenos Aires), or paste a Bumeran listing/job URL into Start URL
4. Set Results wanted and Max pages to control how much to collect
5. Leave Collect full job details on to get area, subarea, seniority, description, and screening questions
6. Click Start and wait for the run to finish
7. Download your data as JSON, CSV, or Excel, or pull it through the API tab

Use cases

• Job aggregation — Feed Bumeran postings into your own job board or search app
• Recruiting research — Track which companies are hiring for a role, seniority, or modality
• Market analysis — Benchmark how many postings exist per area, subarea, or province
• Screening question research — See what questions employers ask for a given role before applying
• Single-job monitoring — Watch one specific posting for changes by re-running with its URL

How it works

Bumeran Jobs Scraper drives a real browser session against bumeran.com.ar and reads the same search and job-detail data the site itself loads — either from your keyword and location, a Bumeran search URL you paste in, or a direct job URL for a single posting. When Collect full job details is on, each listing is enriched with a second lookup for area, subarea, seniority, full description, and screening questions.

Use with the Apify API

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("parsebird/bumeran-jobs-scraper").call(run_input={
    "keyword": "developer",
    "location": "Buenos Aires",
    "results_wanted": 50,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} - {item['company']} ({item['modality']})")

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('parsebird/bumeran-jobs-scraper').call({
    keyword: 'developer',
    location: 'Buenos Aires',
    results_wanted: 50,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => console.log(`${item.title} - ${item.company} (${item.modality})`));

Output example

{
  "id": 1118181775,
  "title": "Fullstack Developer Sr",
  "company": "ACCIONA IT",
  "location": "Capital Federal, Buenos Aires, Argentina",
  "area": "Tecnología, Sistemas y Telecomunicaciones",
  "subarea": "Programación",
  "modality": "Remoto",
  "seniority": "Senior",
  "job_type": "Full-time",
  "published_date": "05-03-2026",
  "description_text": "En Acciona IT estamos buscando un Fullstack Developer SR...",
  "questions": [
    "¿Cuántos años de experiencia tenés trabajando con Node?"
  ],
  "url": "https://www.bumeran.com.ar/empleos/fullstack-developer-sr-acciona-it-1118181775.html"
}

Download results in JSON, HTML, CSV, or Excel from the Storage tab, or fetch them programmatically from the Dataset API.

Pricing

How much does it cost to scrape Bumeran with this actor?

Bumeran Jobs Scraper uses Pay-per-event pricing — you only pay for jobs actually saved to the dataset:

Event	Price per event	Price per 1,000
job-scraped	$0.0009	$0.90

Pricing steps down as your account's Apify usage tier increases: $0.90/1,000 on the Free tier, and $0.80/1,000 on Bronze, Silver, and Gold. Collecting 100 jobs on the Free tier costs about $0.09. Every new Apify account gets free trial credits, so you can test this actor without adding a payment method first.

FAQ

Does this actor use the official Bumeran API? No — Bumeran does not publish a public jobs API. This actor reads the same structured data Bumeran's own website loads when you search or open a job posting.

What happens if I paste a job URL directly into Start URL? The actor detects it's a single job page and returns just that one job with full details, ignoring results_wanted and max_pages.

What if my Start URL isn't a search or job URL I recognize? The actor logs a warning and falls back to the keyword and location inputs instead of failing the run.

Why is area, subarea, or seniority empty for some jobs? Those fields only come from the full job detail page. If Collect full job details is turned off, listings return the lighter search-result fields only (title, company, location, modality, job type, published date, and a short description).

Can I collect jobs from a specific province only? Yes. Set location to any Argentine province (e.g. Cordoba, Santa Fe, Mendoza) or Capital Federal for Buenos Aires city. Unrecognized locations fall back to a nationwide search with a warning.

Can I schedule recurring runs? Yes. Use Apify's Scheduler to run this actor daily or on any custom interval to track new postings.

Can I use this with the API or integrations? Yes. Every run is accessible through the Apify API, and you can connect this actor to Zapier, Make, Google Sheets, Slack, and webhooks from the Integrations tab.

I found a bug or the actor stopped returning data — what do I do? Bumeran occasionally changes its site layout. Please open an issue on the Issues tab with your input and a description of what happened.

Is it legal to scrape Bumeran?

Scraping publicly available data, such as job titles and descriptions shown to any visitor without logging in, is generally considered legal, including under precedents like hiQ Labs v. LinkedIn. This actor does not access any account-gated or private data. You are responsible for using the collected data in compliance with Bumeran's terms of service and applicable data protection laws in your jurisdiction. Read more in Apify's blog post on the legality of web scraping.

Related actors

Other ParseBird job-market actors:

• Naukri Jobs Scraper — extract job listings from Naukri (India)
• Hirist Jobs Scraper — extract tech job listings from Hirist (India)
• Wuzzuf Jobs Scraper — extract job listings from Wuzzuf (Egypt)