# HeadHunter Jobs Scraper - hh.ru, hh.kz, hh.uz & rabota.by (`scrapingmonkey/headhunter-scraper`) Actor

Scrape HeadHunter vacancies across hh.ru, hh.kz, hh.uz and rabota.by, plus hh.ru employer rating summaries and related vacancies. Choose the collection mode and set a result limit for each input.

- **URL**: https://apify.com/scrapingmonkey/headhunter-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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/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

Collect public vacancy searches, related jobs and employer rating summaries with **HeadHunter Scraper**. Compare vacancies across supported HeadHunter portals while keeping source domains, pay, experience and work formats attached to each record. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for regional recruitment and employer intelligence. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.

| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per vacancy / employer insight record |
| 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |

### What the HeadHunter scraper collects 💼

Collect vacancy searches, related jobs and employer rating summaries. Compare vacancies across supported HeadHunter portals while keeping source domains, pay, experience and work formats attached to each record.

| Collection | What you receive |
|---|---|
| HeadHunter jobs scraper | Records containing job titles, employers, locations, published pay, employment types, ready for vacancy discovery and hiring-demand research. |
| hh.ru employer ratings scraper | Employer rating summaries; neither individual employee reviews nor other HeadHunter country portals. |
| hh.ru related vacancies scraper | Related vacancy records for adjacent-role research and job recommendations. |

Data can include:

- Record identity: Record identifiers, public links and the published job title or company name.
- Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
- Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
- Location and workplace: Published workplace and location information.
- Skills and qualifications: Experience or seniority requirements and language criteria.
- Employment and benefits: Employment and contract types.
- Reputation and workplace insights: Published ratings, review information and recommendation figures.
- Dates and hiring activity: Publication and update information and advertised openings.

### How to scrape HeadHunter 🚀

1. Choose **Job Search** in **What to collect**, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.

#### HeadHunter jobs scraper — input example

```json
{
  "mode": "hh_search",
  "query": "python",
  "country": "Russia",
  "location": "Москва",
  "workFormat": "REMOTE",
  "maxResults": 10
}
```

`maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

#### hh.ru employer ratings scraper — input example

```json
{
  "mode": "hh_ratings",
  "companyUrls": [
    "https://hh.ru/employer/955"
  ],
  "maxResults": 10
}
```

#### hh.ru related vacancies scraper — input example

```json
{
  "mode": "hh_related",
  "jobUrls": [
    "https://hh.ru/vacancy/137144378"
  ],
  "maxResults": 10
}
```

### HeadHunter data fields and complete output 📦

| Field group | Included data |
|---|---|
| Record identity | Record identifiers, public links and the published job title or company name. |
| Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. |
| Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. |
| Location and workplace | Published workplace and location information. |
| Skills and qualifications | Experience or seniority requirements and language criteria. |
| Employment and benefits | Employment and contract types. |
| Reputation and workplace insights | Published ratings, review information and recommendation figures. |
| Dates and hiring activity | Publication and update information and advertised openings. |

Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

#### HeadHunter jobs scraper — complete JSON result

```json
{
  "result_type": "hh_search",
  "input": "python",
  "status": "success",
  "id": "137527751",
  "url": "https://hh.ru/vacancy/137527751",
  "title": "Fullstack-разработчик",
  "company_id": "11985033",
  "company_name": "FAIR-METALL",
  "company_url": "https://hh.ru/employer/11985033",
  "salary_min": 8000000.0,
  "salary_max": null,
  "salary_currency": "UZS",
  "salary_text": null,
  "location": "Ташкент",
  "published_at": "2026-09-18T14:04:03.574+03:00",
  "source_domain": "hh.ru",
  "source_vacancy_id": null,
  "area_id": "2759",
  "experience": "between1And3",
  "employment": "FULL",
  "work_formats": [
    "ON_SITE"
  ],
  "working_hours": [
    "HOURS_8"
  ],
  "languages": [],
  "snippet": null
}
```

#### hh.ru employer ratings scraper — complete JSON result

```json
{
  "result_type": "hh_ratings",
  "input": "955",
  "status": "success",
  "id": "955",
  "url": "https://hh.ru/employer/955",
  "employer_name": "СОГАЗ",
  "dreamjob_employer_id": "46182",
  "total_rating": 4.1,
  "recommendations_percent": 79,
  "reviews_count": 1658,
  "ratings.category": [
    "WORKPLACE",
    "TEAM",
    "MANAGEMENT",
    "CAREER",
    "REST_RECOVERY",
    "SALARY"
  ],
  "ratings.value": [
    4.4,
    4.5,
    4.1,
    3.8,
    4.0,
    4.0
  ],
  "advantages.id": [
    "5",
    "1",
    "6",
    "2",
    "4",
    "11",
    "7",
    "14",
    "15",
    "3",
    "12",
    "13",
    "10",
    "9",
    "8"
  ],
  "advantages.name": [
    "Медицинское страхование",
    "Своевременная оплата труда",
    "Оплата больничного",
    "Удобное расположение работы",
    "Наличие кухни, места для обеда",
    "Профессиональное обучение",
    "Гибкий рабочий график",
    "Система наставничества",
    "Корпоративные мероприятия",
    "Удаленная работа",
    "Место для парковки",
    "Оплата мобильной связи",
    "Корпоративный транспорт",
    "Оплата транспортных расходов",
    "Компенсация питания"
  ],
  "advantages.count": [
    1204,
    1097,
    1077,
    951,
    680,
    524,
    302,
    275,
    247,
    149,
    73,
    73,
    51,
    28,
    10
  ],
  "reviews_hidden": false
}
```

#### hh.ru related vacancies scraper — complete JSON result

```json
{
  "result_type": "hh_related",
  "input": "137144378",
  "status": "success",
  "id": "137490617",
  "url": "https://hh.ru/vacancy/137490617",
  "title": "ML Engineer (AI Agents / Python)",
  "company_id": "3529",
  "company_name": "СБЕР",
  "company_url": "https://hh.ru/employer/3529",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_text": null,
  "location": "Москва",
  "published_at": "2026-09-17T14:59:30.567+03:00",
  "source_domain": "hh.ru",
  "source_vacancy_id": "137144378",
  "area_id": "1",
  "experience": "between1And3",
  "employment": "FULL",
  "work_formats": [
    "ON_SITE"
  ],
  "working_hours": [
    "HOURS_8"
  ],
  "languages": [],
  "snippet": "Опыт промышленной разработки на Python от 2 лет. Умение писать поддерживаемый код: типизация, тестирование, обработка ошибок, логирование и работа с... Проектировать и разрабатывать AI-агентов: реализовывать сценарии, оркестрацию, tool calling и интеграции с внутренними сервисами. Превращать прототипы и модели Data... Комфортный современный офис рядом с м. Кутузовская. Формат работы – офис/гибрид. Ежегодный пересмотр зарплаты и годовая премия. Корпоративный спортзал и..."
}
```

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row.

### Input requirements and collection settings ⚙️

| Setting | What to enter |
|---|---|
| **What to collect** (`mode`) | Choose the information to collect. |
| **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. |
| **Job title or keywords** (`query`) | Words to search for in job listings. Leave empty to include all jobs. For Job Search. |
| **Country** (`country`) | Choose country. For Job Search. |
| **City** (`location`) | City name in the selected country, in Russian or English. Leave empty for the whole country. For Job Search. |
| **Minimum monthly salary** (`salaryMin`) | Minimum monthly salary in the selected currency. For Job Search. |
| **Salary currency** (`currency`) | Choose salary currency. For Job Search. |
| **Workplace** (`workFormat`) | Choose workplace. For Job Search. |
| **Experience** (`experience`) | Choose experience. For Job Search. |
| **Company page links** (`companyUrls`) | Paste one link per line. Example: https://hh.ru/employer/955 For Employer Ratings. |
| **Job listing links** (`jobUrls`) | Paste one link per line. Example: https://hh.ru/vacancy/137144378 For Related Vacancies. |

| Collection mode | Fields to use |
|---|---|
| Job Search | **Job title or keywords**, **Country**, **City**, **Minimum monthly salary**, **Salary currency**, **Workplace**, **Experience** |
| Employer Ratings | **Company page links** |
| Related Vacancies | **Job listing links** |

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

### HeadHunter scraping use cases 🎯

#### Hiring activity monitoring

Run repeat collections of HeadHunter listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.

#### Advertised compensation research

Compare the compensation published in HeadHunter records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

#### Employer reputation screening

Compare overall employer ratings, recommendation percentages and category scores, retaining review counts to distinguish large and small published samples.

#### Skills demand analysis

Analyse the skills, experience or qualifications actually published in HeadHunter records to compare hiring requirements across role groups and prepare recruitment briefs.

#### Working-condition comparison

Compare the contract, schedule or benefit information published in HeadHunter records when researching how employers present their opportunities.

### Pricing and saved-result behavior 💰

See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
- `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

### HeadHunter scraper API and integrations 🔌

Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"hh_search","query":"python","country":"Russia","location":"Москва","workFormat":"REMOTE","maxResults":10}'
```

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

### Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

Search supports hh.ru, hh.kz, hh.uz and rabota.by. Employer ratings and related vacancies accept hh.ru IDs only; ratings are aggregates, not full reviews.

HeadHunter controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

### Frequently asked questions ❓

#### Does it require an account on HeadHunter?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

#### How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results.

#### Which portals are supported?

Job Search accepts hh.ru, hh.kz, hh.uz and rabota.by. The selected domain applies to keyword inputs; a submitted URL uses its own host.

#### Are employer reviews returned in full?

No. Employer Ratings returns a published aggregate, including category ratings, recommendations and review counts. This mode and Related Vacancies accept hh.ru identifiers.

#### Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

#### Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

### Support and responsible use 🛟

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public HeadHunter information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.

# Actor input Schema

## `mode` (type: `string`):

Choose the information to collect.

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

Collect up to this many results for each search or link. Minimum: 1.

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

Words to search for in job listings. Leave empty to include all jobs. For Job Search.

## `country` (type: `string`):

Choose country. For Job Search.

## `location` (type: `string`):

City name in the selected country, in Russian or English. Leave empty for the whole country. For Job Search.

## `salaryMin` (type: `integer`):

Minimum monthly salary in the selected currency. For Job Search.

## `currency` (type: `string`):

Choose salary currency. For Job Search.

## `workFormat` (type: `string`):

Choose workplace. For Job Search.

## `experience` (type: `string`):

Choose experience. For Job Search.

## `companyUrls` (type: `array`):

Paste one link per line. Example: https://hh.ru/employer/955 For Employer Ratings.

## `jobUrls` (type: `array`):

Paste one link per line. Example: https://hh.ru/vacancy/137144378 For Related Vacancies.

## Actor input object example

```json
{
  "mode": "hh_search",
  "maxResults": 10,
  "query": "python",
  "country": "Russia",
  "location": "Москва",
  "currency": "RUR",
  "workFormat": "REMOTE",
  "experience": "any",
  "companyUrls": [
    "https://hh.ru/employer/955"
  ],
  "jobUrls": [
    "https://hh.ru/vacancy/137144378"
  ]
}
```

# Actor output Schema

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

Collected entities and failed input outcomes, with all available fields and error explanations in one dataset.

# 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 = {
    "mode": "hh_search",
    "maxResults": 10,
    "query": "python",
    "country": "Russia",
    "location": "Москва",
    "workFormat": "REMOTE",
    "companyUrls": [
        "https://hh.ru/employer/955"
    ],
    "jobUrls": [
        "https://hh.ru/vacancy/137144378"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/headhunter-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 = {
    "mode": "hh_search",
    "maxResults": 10,
    "query": "python",
    "country": "Russia",
    "location": "Москва",
    "workFormat": "REMOTE",
    "companyUrls": ["https://hh.ru/employer/955"],
    "jobUrls": ["https://hh.ru/vacancy/137144378"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/headhunter-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 '{
  "mode": "hh_search",
  "maxResults": 10,
  "query": "python",
  "country": "Russia",
  "location": "Москва",
  "workFormat": "REMOTE",
  "companyUrls": [
    "https://hh.ru/employer/955"
  ],
  "jobUrls": [
    "https://hh.ru/vacancy/137144378"
  ]
}' |
apify call scrapingmonkey/headhunter-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/headhunter-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/MfpWIIkxgNouaiaMs/builds/RsbjAtP81v3ypvuR8/openapi.json