# Djinni.co Scraper | Tech Jobs Ukraine & Europe (`parseforge/djinni-co-scraper`) Actor

Export tech job listings from Djinni.co, a leading Ukraine and Europe tech recruitment platform. Includes title, company, salary, location, remote status, experience level, and full description. Filter by keyword and experience. Download as CSV, Excel, JSON, or XML.

- **URL**: https://apify.com/parseforge/djinni-co-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 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.
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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🇺🇦 Djinni Scraper

> 🚀 **Export every IT job from the leading Ukrainian and Eastern European tech board.**

Djinni is the largest IT job board in Ukraine and Eastern Europe. This actor pulls every live posting with title, link, company, posting date, and full plain-text description. Filter by keyword and experience level.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Researchers | Bulk data export for analysis. |
| Analysts | Build dashboards and reports. |
| Developers | Power apps with live structured data. |

### 📋 What the Djinni Scraper does

- Pulls every available record from the public Djinni source.
- Normalizes fields into a flat, analysis-ready table.
- Streams results to a dataset you can download as CSV, Excel, JSON, XML or RSS.
- Runs on-demand or on a schedule.

> 💡 **Why it matters:** the public Djinni interface is paginated and slow to scrape by hand. This actor gives you the whole dataset in minutes.

### 📊 Data fields

Each record includes: `company`, `publishedAt`, `results`, `scrapedAt`, `title`, `url`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

> ⚠️ **Good to Know:** free users are capped at 10 records per run. Upgrade to scale up to 1,000,000 records.

### 🚀 How to use

1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the actor page and click **Try for free**.
3. Set your filters (or leave defaults).
4. Click **Start** and wait for the run to finish.
5. Download results as CSV, Excel, JSON or XML.

### 🔗 Recommended Actors

| Actor | What it does |
|---|---|
| [CDC WONDER Mortality Scraper](https://apify.com/parseforge/cdc-wonder-mortality-scraper) | US mortality statistics. |
| [ClinicalTrials.gov Scraper](https://apify.com/parseforge/clinicaltrials-scraper) | Clinical trial registry data. |
| [FDA Drug Recalls Scraper](https://apify.com/parseforge/fda-drug-recalls-scraper) | FDA drug enforcement data. |

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).

> **⚠️ Disclaimer:** independent tool, not affiliated with Djinni. Only publicly available data is collected.

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

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

How many job listings to collect per run.

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

Free-text search.

## `experienceLevel` (type: `string`):

Years of experience filter.

## Actor input object example

```json
{
  "maxItems": 10,
  "experienceLevel": ""
}
```

# Actor output Schema

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

Scraped records

# 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 = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/djinni-co-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 = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/djinni-co-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "maxItems": 10
}' |
apify call parseforge/djinni-co-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/djinni-co-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Xbx2fOPV1ZzSt7P2j/builds/hBVnt4ZBuzLxXmThI/openapi.json