hh.ru Job Scraper 🎯

Extract detailed job listings from HeadHunter Russia (hh.ru), one of the largest job boards in Russia and CIS countries. This actor helps you gather comprehensive job market data for analysis, recruitment, or research purposes.

🚀 Features

• Scrape unlimited job listings from hh.ru search results
• Extract detailed job information including:
  • Job title and ID
  • Company information (name, website, IT accreditation status)
  • Salary details (when available)
  • Location data
  • Employment conditions (type, schedule, working hours)
  • Experience requirements
  • Publication and update dates
  • Response statistics
• Support for proxy configuration
• Automatic pagination handling
• Built-in anti-blocking mechanisms

📊 Output Dataset

The actor stores results in a structured JSON format, including:

• Complete company profile with badges and accreditations
• Detailed employment information
• Comprehensive salary data (when available)
• Geographic location details
• Temporal data (publishing date, updates)
• Response statistics
• URLs for further reference

💡 Use Cases

• Market research and analysis
• Salary benchmarking
• Recruitment strategy development
• Job market monitoring
• Competitive analysis
• HR analytics and reporting

📝 Input Parameters

The actor accepts the following inputs:

• searchUrls: Array of hh.ru search URLs to scrape
• maxItems: Maximum number of items to scrape (optional)
• proxyConfiguration: Proxy settings (optional)

🔍 Sample URL Format

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://hh.ru/search/vacancy?text=ai&area=1&page=1&searchSessionId=65047058-cfdf-456b-8e89-c75261512a3e"
4    ],
5    "maxItems": 70
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "searchUrl": "https://hh.ru/search/vacancy?text=ai&area=1&page=1&searchSessionId=65047058-cfdf-456b-8e89-c75261512a3e",
4        "jobId": 115173530,
5        "title": "AI Agent Engineer (Исследование данных и AI)",
6        "company": {
7            "name": "СБЕР",
8            "visibleName": "Сбер для экспертов",
9            "website": "https://rabota.sber.ru/",
10            "isAccreditedIT": false,
11            "badges": [
12                {
13                    "type": "hrbrand",
14                    "description": "Победитель Премии HR-бренд"
15                }
16            ]
17        },
18        "salary": null,
19        "location": {
20            "city": "Москва",
21            "path": ".113.232.1."
22        },
23        "employment": {
24            "type": "FULL",
25            "schedule": "FIVE_ON_TWO_OFF",
26            "workingHours": "HOURS_8"
27        },
28        "experience": "between1And3",
29        "publishedAt": "2025-02-05T15:21:00.339+03:00",
30        "updatedAt": "2025-02-11T13:26:01.242+03:00",
31        "url": "https://hh.ru/vacancy/115173530",
32        "responsesCount": 55,
33        "totalResponsesCount": 173,
34        "scrapedAt": "2025-02-13T13:08:09.376Z"
35    },
36    ...
37]

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