HeadHunter Jobs Scraper - hh.ru, hh.kz, hh.uz & rabota.by

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

{
  "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

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

hh.ru related vacancies scraper — input example

{
  "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

{
  "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

{
  "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

{
  "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.

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.