# CVMarket.lv Scraper (`unfenced-group/cvmarket-lv-scraper`) Actor
Scrape job listings from CVMarket.lv, Latvia's leading job board. Extract titles, companies, locations, salaries, descriptions, and more.
- **URL**: https://apify.com/unfenced-group/cvmarket-lv-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.49 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## CVMarket.lv Scraper
Extract job listings from **CVMarket.lv**, Latvia's leading recruitment platform. Retrieve job titles, companies, locations, salaries, descriptions, and more — no account or API key required.
---
### Features
- **Keyword & location search** — filter by job title, skills, or city
- **Full job descriptions** — HTML, plain text, and Markdown formats
- **Salary data** — structured min/max/currency/period when publicly listed
- **Published & expiry dates** — for freshness filtering and daily feeds
- **Contract type & employment type** — full-time, part-time, employee, etc.
- **Cross-run deduplication** — 90-day memory prevents processing the same job twice
- **startUrls mode** — scrape specific job detail pages directly
- **Age filter** — restrict results to jobs posted within N days
---
### Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQuery` | String | `""` | Keywords to search (e.g. `"programmētājs"`, `"grāmatvedis"`). Empty = all jobs. |
| `location` | String | `""` | City or region (e.g. `"Rīga"`, `"Jūrmala"`). Empty = all locations. |
| `maxResults` | Integer | `100` | Maximum number of results to return. |
| `fetchDetails` | Boolean | `true` | Fetch full description and dates from detail pages. Set `false` for fast list-only runs. |
| `skipReposts` | Boolean | `false` | Skip jobs already seen in a previous run (90-day memory). |
| `daysOld` | Integer | — | Return only jobs posted within this many days. Requires `fetchDetails: true`. |
| `startUrls` | Array | `[]` | Specific CVMarket.lv job URLs to scrape directly, bypassing search. |
---
### Output Schema
Each result contains the following fields:
#### Always present
| Field | Type | Description |
|---|---|---|
| `id` | String | Unique job ID from CVMarket.lv |
| `url` | String | Full URL of the job listing |
| `title` | String | Job title |
| `company` | String | Company name |
| `location` | String | City or region |
| `contractType` | String | e.g. `"Full-time"`, `"Part-time"` |
| `employmentType` | String | e.g. `"Employee"` |
| `category` | String | Job category/industry |
| `source` | String | Always `"cvmarket.lv"` |
| `scrapedAt` | String | ISO timestamp of when the item was scraped |
| `contentHash` | String | 16-char MD5 fingerprint for change detection |
| `summary` | String | Short excerpt (≤200 chars) |
| `isRepost` | Boolean | `true` if seen in a previous run |
| `originalPublishDate` | String\|null | Date first seen (when `isRepost: true`) |
| `originalUrl` | String\|null | Original URL (when `isRepost: true`) |
#### With `fetchDetails: true`
| Field | Type | Description |
|---|---|---|
| `publishDate` | String | Publication date (`YYYY-MM-DD`) |
| `publishDateISO` | String | Same as `publishDate` |
| `expiresDate` | String\|null | Listing expiry date (`YYYY-MM-DD`) |
| `salaryRaw` | String\|null | Raw salary text (e.g. `"No 1900 €/mēn."`) |
| `salaryMin` | Integer\|null | Minimum salary amount |
| `salaryMax` | Integer\|null | Maximum salary amount |
| `salaryCurrency` | String\|null | Currency code (e.g. `"EUR"`) |
| `salaryPeriod` | String\|null | `"MONTH"`, `"HOUR"`, or `"YEAR"` |
| `workSchedule` | String\|null | e.g. `"shift work"`, `"flexible"` |
| `descriptionHtml` | String\|null | Full job description as raw HTML |
| `descriptionText` | String\|null | Full description as plain text |
| `descriptionMarkdown` | String\|null | Full description as Markdown |
#### Example output
```json
{
"id": "1645408",
"url": "https://www.cvmarket.lv/remontatsledznieks-ce-latvijas-finieris-as-1645408",
"title": "Remontatslēdznieks/-ce",
"company": "AS \"Latvijas Finieris\"",
"location": "Rīga",
"publishDate": "2026-04-24",
"publishDateISO": "2026-04-24",
"expiresDate": "2026-05-24",
"salaryRaw": "No 1900 €/mēn.",
"salaryMin": 1900,
"salaryMax": null,
"salaryCurrency": "EUR",
"salaryPeriod": "MONTH",
"contractType": "Full-time",
"employmentType": "Employee",
"category": "Manufacturing / Production, Mechanics / Engineering",
"workSchedule": "shift work",
"descriptionHtml": "...
",
"descriptionText": "Veikt siltuma un ķīmisko iekārtu montāžas...",
"descriptionMarkdown": "### Job Description\n\nVeikt siltuma...",
"source": "cvmarket.lv",
"scrapedAt": "2026-04-24T17:00:00.000Z",
"contentHash": "a1b2c3d4e5f60000",
"summary": "No 1900 €/mēn. Darbs rūpnīcā Lignums.",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null
}
````
***
### Usage Examples
#### 1 — All IT jobs in Riga
```json
{
"searchQuery": "programmētājs",
"location": "Rīga",
"maxResults": 200,
"fetchDetails": true
}
```
#### 2 — Daily feed of new jobs (last 24 hours)
```json
{
"maxResults": 500,
"fetchDetails": true,
"daysOld": 1,
"skipReposts": true
}
```
#### 3 — Fast list-only run (no detail pages)
```json
{
"searchQuery": "grāmatvedis",
"maxResults": 500,
"fetchDetails": false
}
```
#### 4 — Scrape specific job URLs
```json
{
"startUrls": [
{ "url": "https://www.cvmarket.lv/programmētājs-company-1234567" },
{ "url": "https://www.cvmarket.lv/grāmatvedis-company-7654321" }
]
}
```
***
### Pricing
**$1.49 per 1,000 results** (Pay-Per-Event pricing).
A typical run retrieving 1,000 jobs with `fetchDetails: true` costs approximately **$1.49**. List-only runs (`fetchDetails: false`) cost the same per result but run significantly faster.
***
### Performance
| Mode | Speed | Memory |
|---|---|---|
| `fetchDetails: true` | ~80–120 jobs/min | 512 MB |
| `fetchDetails: false` | ~300–400 jobs/min | 512 MB |
CVMarket.lv has no anti-bot measures for standard browsing — no proxy is required.
***
*Data sourced from publicly available listings on CVMarket.lv. For enterprise data feeds or custom integrations, contact unfenced-group via the Apify Store.*
# Actor input Schema
## `searchQuery` (type: `string`):
Keywords to search for (e.g. 'programmētājs', 'grāmatvedis'). Leave empty to retrieve all jobs.
## `location` (type: `string`):
City or region to filter by (e.g. 'Rīga', 'Jūrmala'). Leave empty for all locations.
## `maxResults` (type: `integer`):
Maximum number of job listings to return. Increase for full-market feeds.
## `fetchDetails` (type: `boolean`):
Fetch full job description, salary, and published date from each detail page. Recommended: true. Set false for fast list-only runs.
## `skipReposts` (type: `boolean`):
Skip jobs already seen in previous runs (cross-run deduplication with 90-day memory).
## `daysOld` (type: `integer`):
Only return jobs posted within this many days. Leave empty for no age filter. Requires fetchDetails to be true.
## `startUrls` (type: `array`):
Optional list of specific CVMarket.lv job detail URLs to scrape directly (bypasses search).
## Actor input object example
```json
{
"searchQuery": "",
"location": "",
"maxResults": 100,
"fetchDetails": true,
"skipReposts": false,
"startUrls": []
}
```
# Actor output Schema
## `OUTPUT` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/cvmarket-lv-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/cvmarket-lv-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 '{}' |
apify call unfenced-group/cvmarket-lv-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/cvmarket-lv-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "CVMarket.lv Scraper",
"description": "Scrape job listings from CVMarket.lv, Latvia's leading job board. Extract titles, companies, locations, salaries, descriptions, and more.",
"version": "0.0",
"x-build-id": "Bri3gRCiUqHptlTJh"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~cvmarket-lv-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-cvmarket-lv-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~cvmarket-lv-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-cvmarket-lv-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~cvmarket-lv-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-cvmarket-lv-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQuery": {
"title": "Search query",
"type": "string",
"description": "Keywords to search for (e.g. 'programmētājs', 'grāmatvedis'). Leave empty to retrieve all jobs.",
"default": ""
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region to filter by (e.g. 'Rīga', 'Jūrmala'). Leave empty for all locations.",
"default": ""
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"type": "integer",
"description": "Maximum number of job listings to return. Increase for full-market feeds.",
"default": 100
},
"fetchDetails": {
"title": "Fetch detail pages",
"type": "boolean",
"description": "Fetch full job description, salary, and published date from each detail page. Recommended: true. Set false for fast list-only runs.",
"default": true
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip jobs already seen in previous runs (cross-run deduplication with 90-day memory).",
"default": false
},
"daysOld": {
"title": "Max age (days)",
"type": "integer",
"description": "Only return jobs posted within this many days. Leave empty for no age filter. Requires fetchDetails to be true."
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of specific CVMarket.lv job detail URLs to scrape directly (bypasses search).",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```