# CVbankas.lt Job Scraper (`jobsapi/cvbankas-lt-job-search-scraper`) Actor

Discover and enrich current public CVbankas.lt jobs from canonical detail pages.

- **URL**: https://apify.com/jobsapi/cvbankas-lt-job-search-scraper.md
- **Developed by:** [Jobs API](https://apify.com/jobsapi) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 cvbankas job records

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Search Scraper

Discover current public CVbankas.lt listings and enrich every published record from its canonical detail page. Output includes stable identity, title, employer, full source-backed description, location, employment and salary data when disclosed, dates, structured source data, request receipts, and runtime provenance.

The Actor accepts a public CVbankas listing/search `url`, `maxItems`, `maxPages`, a bounded request timeout, and bounded retries for transient non-barrier failures. It uses the ordinary official origin only: proxy configuration and concurrent detail requests are intentionally unavailable so a detected access barrier stops subsequent requests immediately.

```json
{ "url": "https://www.cvbankas.lt/", "maxItems": 3, "maxPages": 1 }
```

Only complete, identity-verified job records with official CVbankas URLs and successful listing/detail receipts enter the dataset; diagnostics, fixtures, and incomplete records are never written as dataset rows. Run-level diagnostics and request receipts are stored in KVS; each eligible job row also carries its own listing/detail receipts as provenance. The platform `status` is only `SUCCEEDED` or `FAILED`; the extraction outcome is reported separately as `resultStatus` (`COMPLETE`, `LIMITED`, `SKIPPED`, `DEFERRED`, or `FAILED`). This Actor does not currently recognize affirmative source-authored empty-result evidence, so zero rows without a confirmed barrier or fatal invalid-input/runtime/storage error are `SUCCEEDED`/`DEFERRED`, never `NO_DATA`. HTTP 401/403/429/451 or a clear source-authored verification/security challenge stops the crawl without retry or redirect following, discards all staged rows, and records `SKIPPED`. Generic transport failures remain `DEFERRED`. Fatal zero-row invalid-input/runtime/storage failures call `Actor.fail()`. If a later non-block issue follows successfully stored rows, those rows remain and the result is `SUCCEEDED`/`LIMITED`.

`OUTPUT` and `RUN_HEALTH` contain status and row counts. `RUN_DIAGNOSTICS` and `REQUEST_RECEIPTS` preserve bounded evidence for each run. Existing historical storage is not rewritten by validation.

# Changelog

This Actor's version history is a separate document: https://apify.com/jobsapi/cvbankas-lt-job-search-scraper/changelog.md

# Actor input Schema

## `url` (type: `string`):

Public CVbankas.lt listing/search URL.

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

Maximum complete jobs to publish.

## `maxPages` (type: `integer`):

Maximum listing pages to inspect.

## `requestTimeoutSecs` (type: `integer`):

Timeout for each public request in seconds.

## `retries` (type: `integer`):

Bounded retries for transient failures. Access barriers are never retried.

## Actor input object example

```json
{
  "url": "https://www.cvbankas.lt/",
  "maxItems": 20,
  "maxPages": 1,
  "requestTimeoutSecs": 30,
  "retries": 1
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (type: `string`):

OUTPUT key-value record. status is the Apify process outcome (SUCCEEDED or FAILED); resultStatus is COMPLETE, LIMITED, SKIPPED, DEFERRED, or FAILED. This Actor currently has no affirmative empty-result detector and does not emit NO_DATA.

## `diagnostics` (type: `string`):

RUN_DIAGNOSTICS key-value record; diagnostic items are not Dataset 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("jobsapi/cvbankas-lt-job-search-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("jobsapi/cvbankas-lt-job-search-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 jobsapi/cvbankas-lt-job-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobsapi/cvbankas-lt-job-search-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/jeNiu2HDkoV49STwK/builds/uTlgTV2AlN11L0LTI/openapi.json