HH.ru Scraper

What HH.ru Scraper can do

• Three ways to find data. Build a search from keywords, area and filters, paste hh.ru search URLs as-is, or hand in specific vacancy links or IDs and get one full detail card per entry.
• 50+ fields per vacancy. Salary ranges, GPS coordinates, metro stations, employer logos and badges, full HTML and plain-text descriptions, and key skills, plus employer details.
• Detail on demand. Turn full detail-page enrichment on or off; results still stream into the dataset as each one finishes, so a mid-run stop keeps everything collected so far.
• Full filter coverage. Search field (title-only or everywhere), experience, employment, schedule, salary range, only-with-salary, professional role, industry and sort order.
• Built for schedules. Incremental mode returns only new and changed vacancies on recurring runs, and a run that can't reach hh.ru fails loudly instead of returning an empty dataset.
• Clear about hh.ru's own 2000-result cap. Slice one broad search into narrower ones by area, salary band or role to capture everything beyond it.

Choose what to collect

These inputs let you configure HH.ru Scraper - Jobs, Salaries, Skills & Employers. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "vacancyId": "100000001",
  "url": "https://hh.ru/vacancy/100000001",
  "name": "Senior Python-разработчик",
  "publicationDate": "2026-05-05T09:00:00.000+03:00",
  "creationDate": "2026-05-01T09:00:00.000+03:00",
  "lastChangeTime": "2026-05-04T09:00:00.000+03:00",
  "validThroughTime": "2026-06-04T09:00:00.000+03:00",
  "isAdv": false,
  "searchUrl": "https://hh.ru/search/vacancy?text=python&area=1&page=0",
  "searchSessionId": "00000000-0000-0000-0000-000000000000",
  "company": {
    "id": 1000000,
    "name": "ООО «Пример»",
    "isAccreditedIT": true,
    "isTrusted": true,
    "siteUrl": "https://www.example.com/",
    "logoUrl": "https://hh.ru/employer-logo-original/0000000.png",
    "badges": [
      {
        "type": "hrbrand",
        "description": "Пример награды"
      }
    ]
  },
  "salaryFrom": 200000,
  "salaryTo": 300000,
  "salaryCurrency": "RUR",
  "salaryGross": false,
  "salaryMode": "MONTH",
  "salaryFrequency": "TWICE_PER_MONTH",
  "area": {
    "id": 1,
    "name": "Москва",
    "path": ".113.1."
  },
  "address": {
    "city": "Москва",
    "street": "Тверская улица",
    "lat": 55.7558,
    "lng": 37.6173,
    "metroStations": [
      {
        "id": 1,
        "name": "Охотный Ряд",
        "lineColor": "#000000"
      }
    ],
    "district": "Тверской район"
  },
  "workExperience": "between3And6",
  "employment": "FULL",
  "employmentForm": "FULL",
  "workSchedule": "remote",
  "workFormats": [
    "REMOTE"
  ],
  "acceptHandicapped": false,
  "acceptLaborContract": true,
  "responsesCount": 42,
  "totalResponsesCount": 100,
  "onlineUsersCount": 5,
  "professionalRoleIds": [
    96,
    156
  ],
  "description": "<p>Обязанности: разработка и поддержка сервисов. Требования: опыт с Python 3+ года. Условия: удалённая работа, ДМС.</p>",
  "descriptionText": "Обязанности: разработка и поддержка сервисов. Требования: опыт с Python 3+ года. Условия: удалённая работа, ДМС.",
  "keySkills": [
    "Python",
    "Django",
    "PostgreSQL",
    "Docker",
    "Git"
  ],
  "contactInfo": {
    "name": null,
    "email": null,
    "phones": [],
    "contactsHidden": false
  },
  "detailScraped": true,
  "scrapedAt": "2026-05-05T12:00:00.000Z"
}

Ways to use this data

• Recruiting and talent sourcing: build a candidate-facing job feed, or watch a market for hiring signals by company, role or region.
• Salary and compensation research: collect published salary ranges by role, region, and experience level to benchmark pay.
• Job aggregators and alert bots: feed vacancies into your own site, Telegram bot or newsletter, filtered by keyword, area or schedule.
• Market and competitor monitoring: track which companies are hiring, for which roles, and how listings change over time with incremental mode.
• Targeted outreach: hand in a specific list of vacancy URLs or IDs to get full detail cards, for example to reach out to companies that just posted a role.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor