# Tech Jobs Salary Scraper (`vujofix/tech-jobs-salary-scraper`) Actor

- **URL**: https://apify.com/vujofix/tech-jobs-salary-scraper.md
- **Developed by:** [Oleksii Tereshchenko](https://apify.com/vujofix) (community)
- **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. 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Tech Jobs & Salary Benchmark Scraper (NoFluffJobs)

> 💼 **Extract real-time European & Polish tech job listings, verified salary brackets (PLN, EUR, USD), required tech stacks, and remote positions from NoFluffJobs.**

***

### 🚀 Why Use This Actor?

Finding transparent salary data in tech is notoriously difficult. **NoFluffJobs** is Central & Eastern Europe's leading IT job portal, mandating salary ranges for **100% of postings**.

This Actor provides direct, high-speed access to **18,000+ active tech vacancies** across Poland and Europe without bloated browser overhead:

- ⚡ **Ultra-Fast & Reliable**: Extracts hundreds of verified job postings in seconds via native API.
- 💰 **Transparent Salary Intelligence**: Captures exact minimum & maximum compensation, currencies (`PLN`, `EUR`, `USD`, `CHF`), contract type (`B2B` vs `Permanent`), and pay periods (`Month`, `Hour`).
- 🛠️ **Tech Stacks & Requirements**: Extracts required technologies, frameworks, and skill tags for each role.
- 🌍 **Remote & Location Filters**: Filter by `Remote`, hybrid, or specific European cities (`Warszawa`, `Kraków`, `Wrocław`, `Poznań`, `Gdańsk`, `Berlin`, etc.).
- 🎯 **Advanced Screening**: Filter by minimum salary threshold, seniority level (`Junior`, `Mid`, `Senior`, `Expert`), category, and technology keywords.

***

### 🎯 Use Cases

- **Recruitment & HR Tech**: Sync real-time job openings into custom ATS platforms and talent portals.
- **Salary Benchmarking**: Build interactive market salary calculators and quarterly compensation reports.
- **Job Aggregators & Alerts**: Power Telegram / Discord tech job bots or niche job board newsletters.
- **Competitor Hiring Intelligence**: Monitor tech stacks and hiring volume across top tech companies.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `keyword` | String | `"Python"` | Filter by tech keyword, skill, or title (e.g. `Python`, `React`, `DevOps`, `AI`, `FastAPI`). |
| `category` | String | `"all"` | Category: `backend`, `frontend`, `fullstack`, `devops`, `mobile`, `data`, `ai`, `qa`, `security`. |
| `seniority` | Array | `["Junior", "Mid", "Senior"]` | Seniority levels: `Trainee`, `Junior`, `Mid`, `Senior`, `Expert`. |
| `location` | String | `"all"` | City or remote: `all`, `remote`, `warszawa`, `krakow`, `wroclaw`, `gdansk`, `poznan`, `katowice`. |
| `minSalary` | Integer | `0` | Minimum monthly salary threshold (e.g. `15000`). |
| `currency` | String | `"all"` | Currency: `all`, `PLN`, `EUR`, `USD`, `GBP`, `CHF`. |
| `employmentType` | String | `"all"` | Contract type: `all`, `b2b`, `permanent`. |
| `maxResults` | Integer | `100` | Maximum number of matched postings to export (up to `2000`). |

#### Example Input JSON:

```json
{
  "keyword": "FastAPI",
  "category": "backend",
  "seniority": ["Mid", "Senior"],
  "location": "remote",
  "minSalary": 18000,
  "currency": "PLN",
  "employmentType": "b2b",
  "maxResults": 50
}
```

***

### 📤 Output Dataset Format

Each record contains rich, standardized data:

```json
{
  "title": "Senior Python / AI Engineer",
  "company": "TechScale Solutions",
  "category": "backend",
  "technology": "Python",
  "requirements": [
    "Python",
    "FastAPI",
    "PostgreSQL",
    "Docker"
  ],
  "seniority": "Senior",
  "salaryMin": 22000,
  "salaryMax": 28000,
  "salaryCurrency": "PLN",
  "salaryType": "B2B",
  "salaryPeriod": "Month",
  "isFullyRemote": true,
  "cities": ["Warszawa", "Remote"],
  "url": "https://nofluffjobs.com/job/senior-python-engineer-warszawa",
  "postedAt": "2026-08-20",
  "scrapedAt": "2026-09-17T15:23:30.454Z"
}
```

***

### 🐍 Python Integration

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

## Run the Actor
run = client.actor("vujofix/tech-jobs-salary-scraper").call(run_input={
    "keyword": "DevOps",
    "location": "remote",
    "minSalary": 20000,
    "currency": "PLN",
    "maxResults": 100
})

## Fetch clean salary benchmark dataset
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{job['title']} @ {job['company']}: {job['salaryMin']} - {job['salaryMax']} {job['salaryCurrency']} ({job['salaryType']})")
```

***

### 💰 Pricing

- **Pay-Per-Event**: **$3.00 / 1,000 job postings**
- Incredibly cost-effective: Fetch 200 targeted job listings with verified salaries for just **$0.60**.

***

### 🛡️ License

Apache-2.0

# Actor input Schema

## `keyword` (type: `string`):

Filter by job title, technology, or skills (e.g. Python, React, DevOps, AI, AWS, Java). Leave empty to match all.

## `category` (type: `string`):

Tech category to filter by.

## `seniority` (type: `array`):

Filter by experience level.

## `location` (type: `string`):

Filter by city or remote positions.

## `minSalary` (type: `integer`):

Filter postings with minimum monthly salary greater than or equal to this amount.

## `currency` (type: `string`):

Currency of the salary.

## `employmentType` (type: `string`):

B2B contract or Permanent employment (UoP).

## `maxResults` (type: `integer`):

Maximum number of matched job listings to export.

## Actor input object example

```json
{
  "keyword": "Python",
  "category": "all",
  "seniority": [
    "Junior",
    "Mid",
    "Senior"
  ],
  "location": "all",
  "minSalary": 0,
  "currency": "all",
  "employmentType": "all",
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vujofix/tech-jobs-salary-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("vujofix/tech-jobs-salary-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 '{}' |
apify call vujofix/tech-jobs-salary-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vujofix/tech-jobs-salary-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/SXSmJKULXWp0oZ3Rb/builds/J6uTY6z0Pw9qe3wgZ/openapi.json