# CVbankas.lt Job Scraper (`bovi/cvbankas-scraper`) Actor

Scrape job ads from CVbankas.lt, Lithuania's largest job board: title, company, cities, salary range (net/gross, monthly/hourly), dates, work type, category, full description, apply link and applicant counts. Filter by keyword, city, category, work type.

- **URL**: https://apify.com/bovi/cvbankas-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Security:** Limited permissions
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.10 / 1,000 cvbankas.lt job scrapers

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

## CVbankas.lt Job Scraper

Scrape job ads from **[CVbankas.lt](https://www.cvbankas.lt/)**, Lithuania's most visited job board. Search the
same way you would on the site (keyword, city, category, work type, minimum salary) or paste any cvbankas.lt list
or job URL, and get clean, structured records: job title, company, cities, salary range, publish and expiry
dates, work type, category, full description, apply link, views and applicant counts. No login and no API key.

### What it collects

From every list card:

- `jobId`, `url`, `title`, `companyName`, `companyLogoUrl`
- `city` and `cities` (nominative names such as `Vilnius`, `Šiauliai`; an ad can list several cities)
- salary: `salaryRaw` (as shown), `salaryMin`, `salaryMax`, `salaryCurrency` (EUR), `salaryPeriod`
  (`MONTH` / `HOUR`), `salaryType` (`net` = "Į rankas", `gross` = "neatskaičius mokesčių")
- `isVip` (promoted listing), `ukrainiansWelcome`, `listingAgeText` / `listingAgeDays`

With **Include full job details** on (default), the scraper also opens each job page and adds:

- `publishedAt`, `expiresAt`, `employmentType`, `category`, `workplaceAddress`
- `descriptionHtml` and `descriptionText` (the full ad)
- `applyUrl`, `companyUrl`, `companyDescription`, `views`, `applicants`

Fields the employer did not publish (for example salary on some ads) are returned as `null`, never guessed.

### Input

| Field | Type | Description |
|---|---|---|
| `searchQuery` | string | Keyword, e.g. `vadybininkas`, `programuotojas`. Empty = all jobs. |
| `city` | string | `Vilnius`, `kaunas`, `siauliai`, `remote`, `abroad` or a cvbankas.lt location ID (`606`). |
| `category` | select | cvbankas.lt job category (IT, Sales, Finance, Construction, ...). |
| `workType` | select | Full-time, part-time, internship, side job, temporary, shift work. |
| `minSalary` | integer | Minimum offered salary in EUR. |
| `maxResults` | integer | Maximum records to save (default **50**). |
| `fetchDetails` | boolean | Open every job page for description, dates and more (default on). |
| `daysOld` | integer | Only jobs posted / renewed within N days. |
| `skipVip` | boolean | Skip VIP listings pinned on top of every list. |
| `startUrls` | array | cvbankas.lt job pages or list pages to scrape instead of a search. |
| `proxyConfiguration` | object | Apify Proxy settings. cvbankas.lt is behind Cloudflare, so a proxy is recommended. |

Example input:

```json
{
  "searchQuery": "vadybininkas",
  "city": "Vilnius",
  "maxResults": 100,
  "fetchDetails": true,
  "proxyConfiguration": { "useApifyProxy": true }
}
```

### Example output

```json
{
  "jobId": "13619551",
  "url": "https://www.cvbankas.lt/pardavimu-vadybininkas-e-vilniaus-regione-vilniuje/1-13619551",
  "title": "Pardavimų vadybininkas (-ė) Vilniaus regione",
  "companyName": "AB „ŽEMAITIJOS PIENAS“",
  "companyLogoUrl": "https://cvbankas-img.dgn.lt/companylogo_4_1300070/zemaitijos-pienas.jpg",
  "city": "Vilnius",
  "cities": ["Vilnius", "Vievis", "Trakai"],
  "publishedAt": "2026-10-23",
  "expiresAt": "2026-11-22",
  "employmentType": "Visa darbo diena",
  "category": "Pardavimų vadyba",
  "workplaceAddress": "Algirdo gatvė, Vilnius",
  "descriptionText": "Darbo pobūdis\nBendrovės gaminamų produktų pardavimas ir pardavimų plėtra, planų vykdymas; ...",
  "applyUrl": "https://www.cvbankas.lt/kandidatuoti-neuzsiregistravus-13619551",
  "companyUrl": "https://www.cvbankas.lt/zemaitijos-pienas-siulo-darba/4-32627",
  "views": 877,
  "applicants": 43,
  "salaryRaw": "2835 €/mėn.",
  "salaryMin": 2835,
  "salaryMax": 2835,
  "salaryCurrency": "EUR",
  "salaryPeriod": "MONTH",
  "salaryType": "gross",
  "source": "cvbankas.lt",
  "scrapedAt": "2026-10-31T06:10:00+00:00"
}
```

### Pricing

Pay per result: you are charged only for job records saved to the dataset, about **$1.50 per 1,000 results**
($0.0015 per job). There is no monthly fee. Use **Max results** to cap the cost of a run exactly.

### Notes

- VIP (promoted) ads are pinned on top of every cvbankas.lt list; turn on **Skip VIP listings** to drop them.
- `publishedAt` is the date the ad was posted or last renewed, as cvbankas.lt shows it.
- Jobs abroad keep the city label the site shows (for example `Vokietijoje`).

# Actor input Schema

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

Job title or keyword, as typed into the cvbankas.lt search box. Examples: 'vadybininkas', 'programuotojas', 'buhalteris'. Leave empty to list all jobs.

## `city` (type: `string`):

City name or cvbankas.lt location ID: 'Vilnius', 'kaunas', 'Šiauliai', 'klaipeda', 'remote' (Darbas namuose), 'abroad' (Užsienis) or e.g. '606'. Case- and accent-insensitive. Leave empty for all of Lithuania.

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

cvbankas.lt job category (padalinys).

## `workType` (type: `string`):

cvbankas.lt work type filter.

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

Only jobs offering at least this salary (the site's own 'min_salary' filter).

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

Maximum number of jobs to save. The run stops as soon as this many records are in the dataset.

## `fetchDetails` (type: `boolean`):

ON: also opens every job page for the full description, publish/expiry dates, work type, category, workplace address, apply link, company profile, views and applicant counts. OFF: list-card data only (faster).

## `daysOld` (type: `integer`):

Only jobs posted (or renewed) within this many days. Uses the exact publish date when job details are on, otherwise the 'prieš N d.' age shown on the list.

## `skipVip` (type: `boolean`):

Skip VIP-promoted listings that cvbankas.lt pins to the top of every list.

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

Optional cvbankas.lt URLs to scrape instead of the search above: job pages (…/1-13619551) or any list page (search results, a city or category page). List pages are followed page by page.

## `proxyConfiguration` (type: `object`):

cvbankas.lt sits behind Cloudflare; Apify Proxy (datacenter is enough) is recommended. Without a proxy the site may answer with a browser check.

## Actor input object example

```json
{
  "searchQuery": "vadybininkas",
  "category": "",
  "workType": "",
  "maxResults": 50,
  "fetchDetails": true,
  "skipVip": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset with the scraped job ads.

# 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 = {
    "searchQuery": "vadybininkas",
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/cvbankas-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 = {
    "searchQuery": "vadybininkas",
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/cvbankas-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 '{
  "searchQuery": "vadybininkas",
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/cvbankas-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/cvbankas-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/5gM2St5Zzkt4MSWB7/builds/OYknlda1mi9Fue35v/openapi.json