# Bumeran Jobs Scraper (`crawlerbros/bumeran-jobs-scraper`) Actor

Search job listings on Bumeran (bumeran.com.ar) - Argentina's largest job board - by keyword, province, job category, work mode, employment type, seniority, and contract type. Also fetch company profiles by ID.

- **URL**: https://apify.com/crawlerbros/bumeran-jobs-scraper.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Bumeran Jobs Scraper

Search job listings on [Bumeran](https://www.bumeran.com.ar) — Argentina's largest job board — by keyword, province, job category, work mode, employment type, seniority, and contract type. Also fetch company profiles by ID. No login, no API key, no cookies required.

### What this actor does

- **Two modes:** `search` (job listings) and `byCompanyIds` (company profiles)
- **10 combinable filters:** keyword, province (23), job category (26), work mode (on-site/hybrid/remote), employment type (8 types), seniority level (9 levels), contract type (4 types), collar segmentation (white/grey/blue), posted-within freshness window (9 windows), disability-friendly only
- **Sort by relevance or recency**
- **Quick-apply filter** — surface only one-click-apply listings
- **Empty fields are omitted** — every field in the output is real, populated data

### Output fields

#### `job` records (`mode=search`)

- `jobId`, `title`, `description`
- `companyId`, `companyName`, `isConfidentialEmployer`, `companyLogoUrl`, `companyVerified`, `companyIsPro`, `companyRating` (0-5 average employee rating; only present when Bumeran has published a rating for that employer)
- `location`, `employmentType`, `workMode`
- `areaId`, `area`, `subAreaId`
- `vacancies`
- `publishedAt`, `modifiedAt` — Argentina local time (UTC-3), ISO 8601
- `hasScreeningQuestions`, `salaryDisclosureRequired`, `quickApply`, `disabilityFriendly`
- `listingType`, `publicationPlan`, `gptwUrl` (Great Place to Work certification, when present)
- `sourceUrl`, `recordType: "job"`, `scrapedAt`

#### `company` records (`mode=byCompanyIds`)

- `companyId`, `companyName`, `description`
- `industry`, `country`, `province`, `city`
- `logoUrl`, `websiteUrl`, `videoUrl`, `coverImageUrl`, `gptwUrl`
- `inclusiveEmployer`, `verified`, `isProAccount`, `activelyHiring`
- `sourceUrl`, `recordType: "company"`, `scrapedAt`

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `mode` | string | `search` | `search` / `byCompanyIds` |
| `searchQuery` | string | – | Free-text keyword search |
| `provincia` | string | – | Argentine province |
| `area` | string | – | Job category |
| `modalidadTrabajo` | string | – | `presencial` / `hibrido` / `remoto` |
| `tipoTrabajo` | string | – | Employment type (full-time, part-time, etc.) |
| `nivelLaboral` | string | – | Seniority level |
| `tipoContratacion` | string | – | Contract type |
| `segmentacionCollar` | string | – | Collar segmentation: `white` / `grey` / `blue` / `indefinido` |
| `diasFechaPublicacion` | string | – | Posted-within freshness window (today, last 2/3/4/5/6 days, last week/15 days/month) |
| `disabilityFriendlyOnly` | bool | `false` | Only listings marked accessible to people with disabilities |
| `sortBy` | string | `RELEVANTES` | `RELEVANTES` / `RECIENTES` |
| `quickApplyOnly` | bool | `false` | Only quick-apply listings |
| `companyIds` | array | – | Company IDs (mode=byCompanyIds) |
| `maxItems` | int | `50` | Hard cap (1–1000) |

#### Example: remote senior developer jobs

```json
{
  "mode": "search",
  "searchQuery": "desarrollador",
  "modalidadTrabajo": "remoto",
  "nivelLaboral": "senior",
  "maxItems": 50
}
```

#### Example: all tech jobs in Buenos Aires, hybrid, full-time

```json
{
  "mode": "search",
  "provincia": "argentina|buenos-aires",
  "area": "tecnologia-sistemas-y-telecomunicaciones",
  "modalidadTrabajo": "hibrido",
  "tipoTrabajo": "full-time",
  "maxItems": 100
}
```

#### Example: company profile lookup

```json
{
  "mode": "byCompanyIds",
  "companyIds": ["319880", "444640"]
}
```

### Use cases

- **Job seekers / recruiters** — bulk-export listings matching precise criteria (location, remote, seniority)
- **Market research** — analyze Argentina's job market by category, province, and employment type
- **Recruiting agencies** — monitor competitor job postings and hiring trends by company
- **HR tech / ATS integrations** — feed Bumeran listings into an aggregator or alert system
- **Company intelligence** — pull employer profiles (industry, GPTW certification, active hiring status)

### FAQ

**Do I need a login or API key?** No — this uses Bumeran's own public job-search API, which is available without authentication.

**What does `isConfidentialEmployer: true` mean?** The employer chose to post anonymously; `companyName` is Bumeran's own placeholder text ("Confidencial") in that case, not a scraping error.

**What timezone are `publishedAt`/`modifiedAt` in?** Argentina local time (UTC-3), as returned by Bumeran. The field is ISO 8601 formatted but intentionally not UTC-labeled since the source doesn't provide a timezone.

**How do I find a company's ID?** Every non-confidential job listing includes `companyId` directly in its `job` record — feed that straight into `mode=byCompanyIds` to fetch the full company profile. Company IDs also appear in Bumeran company-profile URLs, e.g. `bumeran.com.ar/perfiles/empresa_randstad-argentina_319880.html` → ID `319880`. Confidential/anonymous postings (`isConfidentialEmployer: true`) don't expose a `companyId` — Bumeran withholds the employer's identity entirely for those.

**Can I combine multiple filters?** Yes — all filters are ANDed together (e.g. province + category + work mode + employment type simultaneously).

**How fresh is the data?** Real-time — every run queries Bumeran's live search index directly.

# Actor input Schema

## `mode` (type: `string`):

What to fetch.

## `searchQuery` (type: `string`):

Free-text keyword search (mode=search), e.g. `programador`, `contador`, `vendedor`. Leave empty to browse all listings unfiltered.

## `provincia` (type: `string`):

Filter to a specific Argentine province.

## `area` (type: `string`):

Filter to a specific job category / area.

## `modalidadTrabajo` (type: `string`):

Filter by on-site / hybrid / remote.

## `tipoTrabajo` (type: `string`):

Filter by employment/schedule type.

## `nivelLaboral` (type: `string`):

Filter by seniority / career level.

## `tipoContratacion` (type: `string`):

Filter by contract type.

## `sortBy` (type: `string`):

Result ordering.

## `quickApplyOnly` (type: `boolean`):

Only emit listings that support Bumeran's one-click quick apply.

## `segmentacionCollar` (type: `string`):

Filter by Bumeran's white/grey/blue-collar job classification.

## `diasFechaPublicacion` (type: `string`):

Only listings published within this time window.

## `disabilityFriendlyOnly` (type: `boolean`):

Only emit listings explicitly marked accessible to people with disabilities (`apto discapacitados`).

## `companyIds` (type: `array`):

Bumeran numeric company IDs, e.g. `319880` (Randstad Argentina).

## `maxItems` (type: `integer`):

Hard cap on emitted records.

## Actor input object example

```json
{
  "mode": "search",
  "searchQuery": "programador",
  "provincia": "",
  "area": "",
  "modalidadTrabajo": "",
  "tipoTrabajo": "",
  "nivelLaboral": "",
  "tipoContratacion": "",
  "sortBy": "RELEVANTES",
  "quickApplyOnly": false,
  "segmentacionCollar": "",
  "diasFechaPublicacion": "",
  "disabilityFriendlyOnly": false,
  "companyIds": [
    "319880"
  ],
  "maxItems": 30
}
```

# Actor output Schema

## `records` (type: `string`):

Dataset containing all scraped job listings / company profiles.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "search",
    "searchQuery": "programador",
    "provincia": "",
    "area": "",
    "modalidadTrabajo": "",
    "tipoTrabajo": "",
    "nivelLaboral": "",
    "tipoContratacion": "",
    "sortBy": "RELEVANTES",
    "quickApplyOnly": false,
    "segmentacionCollar": "",
    "diasFechaPublicacion": "",
    "disabilityFriendlyOnly": false,
    "companyIds": [
        "319880"
    ],
    "maxItems": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/bumeran-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "search",
    "searchQuery": "programador",
    "provincia": "",
    "area": "",
    "modalidadTrabajo": "",
    "tipoTrabajo": "",
    "nivelLaboral": "",
    "tipoContratacion": "",
    "sortBy": "RELEVANTES",
    "quickApplyOnly": False,
    "segmentacionCollar": "",
    "diasFechaPublicacion": "",
    "disabilityFriendlyOnly": False,
    "companyIds": ["319880"],
    "maxItems": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/bumeran-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "search",
  "searchQuery": "programador",
  "provincia": "",
  "area": "",
  "modalidadTrabajo": "",
  "tipoTrabajo": "",
  "nivelLaboral": "",
  "tipoContratacion": "",
  "sortBy": "RELEVANTES",
  "quickApplyOnly": false,
  "segmentacionCollar": "",
  "diasFechaPublicacion": "",
  "disabilityFriendlyOnly": false,
  "companyIds": [
    "319880"
  ],
  "maxItems": 30
}' |
apify call crawlerbros/bumeran-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlerbros/bumeran-jobs-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/yjULwMpsBuIrrJ0WX/builds/gxrM0wlvcDcUjrwJ8/openapi.json