# HH.ru Vacancy List Scraper (`quartz_upscale/hh-vacancy-list-actor`) Actor

Scrape public hh.ru vacancy search result pages by query and location, returning structured list-page job data without opening detail pages.

- **URL**: https://apify.com/quartz\_upscale/hh-vacancy-list-actor.md
- **Developed by:** [Evgenii Orlov](https://apify.com/quartz_upscale) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 76.5% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 parsed hh search pages

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 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

## HH.ru Vacancy List Scraper

Scrape hh.ru vacancy search results by keyword and location. The Actor returns clean list-page vacancy data such as title, company, salary, work format, location, publication date, and URL. It does not open vacancy detail pages.

### Features

- Search hh.ru vacancies by keyword or job title.
- Set a human-readable location such as `Москва`, `Санкт-Петербург`, or `Россия`.
- Limit pagination depth with `maxPages`.
- Filter by experience level with `grades`: `junior`, `middle`, `senior`, `lead`.
- Filter vacancies with visible salary by setting `salaryFrom`.
- Export one dataset row per vacancy found on hh.ru search result pages.

### Extracted Data

| Field | Description |
| --- | --- |
| `vacancyId` | hh.ru vacancy ID. |
| `title` | Vacancy title. |
| `url` | Direct hh.ru vacancy URL without tracking parameters. |
| `company` | Employer name shown in search results. |
| `city` | Vacancy city or area shown by hh.ru. |
| `location` | More specific location text when available. |
| `salary` | Human-readable salary text. |
| `salaryMin`, `salaryMax` | Parsed salary values when available. |
| `salaryCurrency` | Salary currency code from hh.ru. `RUR` is returned as `RUB`; other non-empty codes are preserved. |
| `workFormat` | Human-readable work format, such as `remote`, `hybrid`, `onsite`, or a combination. |
| `experience` | Human-readable experience requirement, such as `No experience`, `1-3 years`, `3-6 years`, or `6+ years`. |
| `postedAt` | Publication timestamp. |
| `resultPage` | Search result page where the vacancy was found. |

### Input Example

```json
{
  "query": "QA Engineer",
  "areaName": "Москва",
  "maxPages": 2,
  "grades": ["middle", "senior"],
  "salaryFrom": 200000
}
```

If `areaName` is omitted, the Actor searches across Russia.

### Output Example

```json
{
  "vacancyId": "134371846",
  "title": "Тестировщик (QA) мобильного приложения Windi Messenger",
  "url": "https://hh.ru/vacancy/134371846",
  "company": "MANGO FZCO",
  "city": "Москва",
  "location": "Москва",
  "salary": "до 250000 RUB, на руки",
  "salaryMin": null,
  "salaryMax": 250000,
  "salaryCurrency": "RUB",
  "workFormat": "remote",
  "experience": "3-6 years",
  "postedAt": "2026-07-08T09:34:00+0300",
  "resultPage": 1
}
```

### Limitations

This Actor reads public hh.ru search result pages only. It does not fetch vacancy detail pages, parse full descriptions, collect login-only data, extract application forms, or apply ranking/deduplication logic. hh.ru may block automated traffic or change its page structure.

### FAQ

#### Does the Actor fetch vacancy detail pages?

No. It only extracts data available on hh.ru search result pages.

#### Can it parse full vacancy descriptions?

No. Full descriptions require opening detail pages, which is outside the current scope.

# Actor input Schema

## `query` (type: `string`):

Job title, skill, company, or keyword to search for on hh.ru.

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

Maximum number of hh.ru search result pages to fetch. One page usually contains multiple vacancies.

## `areaName` (type: `string`):

Human-readable hh.ru location, such as Москва, Санкт-Петербург, Россия, Казахстан, or Remote. The Actor resolves it during the run.

## `grades` (type: `array`):

Optional experience filters mapped to hh.ru search parameters.

## `salaryFrom` (type: `integer`):

Optional minimum salary filter. hh.ru will return vacancies with salary shown.

## Actor input object example

```json
{
  "query": "QA Engineer",
  "maxPages": 1,
  "areaName": "Москва",
  "grades": [
    "senior"
  ],
  "salaryFrom": 200000
}
```

# 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 = {
    "query": "QA Engineer",
    "areaName": "Москва",
    "grades": [
        "senior"
    ],
    "salaryFrom": 200000
};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_upscale/hh-vacancy-list-actor").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 = {
    "query": "QA Engineer",
    "areaName": "Москва",
    "grades": ["senior"],
    "salaryFrom": 200000,
}

# Run the Actor and wait for it to finish
run = client.actor("quartz_upscale/hh-vacancy-list-actor").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 '{
  "query": "QA Engineer",
  "areaName": "Москва",
  "grades": [
    "senior"
  ],
  "salaryFrom": 200000
}' |
apify call quartz_upscale/hh-vacancy-list-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=quartz_upscale/hh-vacancy-list-actor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FvVtxrEAqfSavQHIf/builds/nnfB9oimXvSFYHazR/openapi.json