# Bestjobs JobInfo Scraper (`getdataforme/bestjobs-jobinfo-scraper`) Actor

The Bestjobs JobInfo Scraper efficiently extracts detailed job data from Bestjobs.eu, offering insights into job listings and employer details....

- **URL**: https://apify.com/getdataforme/bestjobs-jobinfo-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Bestjobs JobInfo Scraper

The Bestjobs JobInfo Scraper is a powerful tool designed to extract detailed job information from Bestjobs.eu. This actor is ideal for businesses and individuals seeking to gather comprehensive job data efficiently and reliably. With its robust scraping capabilities, it provides valuable insights into job listings, employer details, and more.

### Features

- **Comprehensive Data Extraction**: Retrieve detailed job information including job titles, descriptions, employer details, and more.
- **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Bestjobs.eu.
- **Efficient Performance**: Optimized for fast data retrieval, minimizing wait times.
- **User-Friendly Interface**: Easy to configure and use, even for non-technical users.
- **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats.
- **Reliable Operation**: Built to handle large volumes of data without compromising performance.
- **Customizable Parameters**: Tailor the scraping process to your specific needs with adjustable input settings.

### Input Parameters

| Parameter  | Type   | Required | Description            | Example                                                                 |
|------------|--------|----------|------------------------|-------------------------------------------------------------------------|
| startUrls  | array  | Yes      | URLs to start with.    | `["https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3"]`   |

### Example Usage

#### Example Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3"
    }
  ]
}
```

#### Example Output JSON

```json
[
  {
    "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3",
    "jobId": 52015996,
    "title": "Sofer transport persoane - Sofronea, jud. Arad",
    "slug": "sofer-sofronea-jud-arad-3",
    "state": "active",
    "active": true,
    "locations": [
      {
        "name": "Șofronea",
        "slug": "sofronea",
        "lat": 46.2787913,
        "lng": 21.3077145
      }
    ],
    "employmentTypes": ["Full time"],
    "remote": false,
    "partialRemote": false,
    "relocation": false,
    "vacancies": 1,
    "salaryConfidential": true,
    "estimatedSalary": "1175 - 1295 EUR/luna",
    "employerName": "MUNTE LACT",
    "employerSlug": "munte-lact",
    "employerRating": 3,
    "employerPremium": false,
    "employerResponsive": false,
    "employerDescription": "Suntem o companie din industria alimentară cu o prezență solidă pe piață și în continuă expansiune.",
    "description": "Cerinte:Permis de conducere categoria D...",
    "spokenLanguages": [
      {
        "name": "Română",
        "shortName": "ro",
        "level": "Nativ"
      }
    ],
    "benefits": [],
    "totalViews": 4740,
    "applicationType": 1,
    "hasOwnApplyUrl": false,
    "shareUrl": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3",
    "similarJobs": [
      {
        "title": "Curier",
        "slug": "curier-168",
        "companyName": "DSC Expres Logistic",
        "salary": "700 - 800",
        "locations": ["Arad, România", "Oradea, România", "Sibiu, România", "Pitești, România", "Otopeni, Romania", "Bragadiru, România"]
      }
    ],
    "crawled_at": "2026-05-12T08:27:07.624Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather data for understanding job market trends.
- **Competitive Intelligence**: Monitor competitor job postings and strategies.
- **Price Monitoring**: Analyze salary trends across different job roles and locations.
- **Content Aggregation**: Compile job listings for job boards or career websites.
- **Academic Research**: Study employment patterns and job market dynamics.
- **Business Automation**: Automate the collection of job data for HR analytics.

### Installation and Usage

1. Search for "Bestjobs JobInfo Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array where each object contains detailed job information such as `url`, `jobId`, `title`, `locations`, `employmentTypes`, `estimatedSalary`, `employerName`, `description`, and more. This structured format allows for easy data manipulation and analysis.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3?rid=766c1aed-d98b-4026-b2f6-654b608d9fc8&pos=1&selectedJobSlug=sofer-sofronea-jud-arad-3"
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "startUrls": [
        {
            "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3?rid=766c1aed-d98b-4026-b2f6-654b608d9fc8&pos=1&selectedJobSlug=sofer-sofronea-jud-arad-3"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/bestjobs-jobinfo-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 = { "startUrls": [{ "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3?rid=766c1aed-d98b-4026-b2f6-654b608d9fc8&pos=1&selectedJobSlug=sofer-sofronea-jud-arad-3" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/bestjobs-jobinfo-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 '{
  "startUrls": [
    {
      "url": "https://www.bestjobs.eu/loc-de-munca/sofer-sofronea-jud-arad-3?rid=766c1aed-d98b-4026-b2f6-654b608d9fc8&pos=1&selectedJobSlug=sofer-sofronea-jud-arad-3"
    }
  ]
}' |
apify call getdataforme/bestjobs-jobinfo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/bestjobs-jobinfo-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/bNeaMGBH7tWwO2xl6/builds/vUtCGVPfVYlY3Z0vK/openapi.json