Habr Career Scraper - IT Jobs & Company Reviews

Collect public job listings and employee review records with Habr Career Scraper. Combine technology vacancies with skills and advertised pay, then examine company ratings and employee feedback for a chosen review year. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for technology hiring and employer reputation research. 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 Habr Career scraper collects 💼

Collect job listings and employee review records. Combine technology vacancies with skills and advertised pay, then examine company ratings and employee feedback for a chosen review year.

Collection	What you receive
Habr Career jobs scraper	Records containing job titles, employers, locations, published pay, skills, ready for vacancy discovery and hiring-demand research.
Habr Career company reviews scraper	Published review text, category ratings, recommendation, reviewer role and employment context.

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 and remote or workplace-arrangement indicators.
• Skills and qualifications: Required skills and experience or seniority requirements.
• 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 listing availability indicators.

How to scrape Habr Career 🚀

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.

Habr Career jobs scraper — input example

{
  "mode": "habr_search",
  "query": "python",
  "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.

Habr Career company reviews scraper — input example

{
  "mode": "habr_reviews",
  "companyUrls": [
    "https://career.habr.com/companies/cloudru/scores/2025"
  ],
  "maxResults": 10
}

Habr Career 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 and remote or workplace-arrangement indicators.
Skills and qualifications	Required skills and experience or seniority requirements.
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 listing availability indicators.

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.

Habr Career jobs scraper — complete JSON result

{
  "result_type": "habr_search",
  "input": "https://career.habr.com/vacancies",
  "status": "success",
  "id": "1000167801",
  "url": "https://career.habr.com/vacancies/1000167801",
  "company_url": "https://career.habr.com/companies/ithunter",
  "title": "QA Engineer — Web, Backend, API, Linux",
  "company_id": "1000093994",
  "company_name": "IT-hunter",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_text": "",
  "location": null,
  "published_at": "2026-09-20T13:27:20+03:00",
  "remote_work": true,
  "qualification": "Middle",
  "employment": "full_time",
  "skills": [
    "Python",
    "MySQL",
    "Redis",
    "Golang",
    "Linux"
  ],
  "locations": [],
  "archived": false
}

Habr Career company reviews scraper — complete JSON result

{
  "result_type": "habr_reviews",
  "input": "https://career.habr.com/companies/cloudru/scores/2025",
  "status": "success",
  "id": "135487",
  "url": "https://career.habr.com/companies/cloudru/scores/2025#score_135487",
  "company_slug": "cloudru",
  "company_url": "https://career.habr.com/companies/cloudru",
  "year": "2025",
  "employee_status_and_date": "23 декабря 2025. Текущий сотрудник",
  "tenure_and_location": "Стаж в компании: от 3 месяцев до 1 года. Санкт-Петербург.",
  "job_title": "Специалист по информационной безопасности",
  "average_rating": 5.0,
  "recommendation": "Рекомендация 100%",
  "category_ratings.category": [
    "Компания делает мир лучше",
    "Связь с топ-менеджментом",
    "Грамотность менеджмента",
    "Признание результатов труда",
    "Отношения с коллегами",
    "Карьерный рост",
    "Профессиональный рост",
    "Комфортные условия труда",
    "Социальный пакет",
    "Адекватная зарплата",
    "Современные технологии",
    "Интересные задачи"
  ],
  "category_ratings.value": [
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0,
    5.0
  ],
  "review_text": null,
  "is_pinned": true
}

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.
Company page links (companyUrls)	Paste one link per line. Example: https://career.habr.com/companies/cloudru/scores/2025 For Company Reviews.

Collection mode	Fields to use
Company Reviews	Company page links
Job Search	Job title or keywords

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

Habr Career scraping use cases 🎯

Hiring activity monitoring

Run repeat collections of Habr Career 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 Habr Career records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

Employer reputation analysis

Compare the employee feedback and rating information returned by Habr Career, keeping the published company context and review scope intact for employer-brand research.

Skills demand analysis

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

Working-condition comparison

Compare the contract, schedule or benefit information published in Habr Career 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.

Habr Career 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":"habr_search","query":"python","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.

Company Reviews requires a public company review URL containing the year. Individual review text is returned only when published.

Habr Career 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 Habr Career?

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 inputs and filters does this Actor support?

Company Reviews requires a public company review URL containing the year. Individual review text is returned only when published.

Can I use the results for vacancy monitoring?

Yes. Keep the original job identifiers and links when comparing repeat Habr Career exports. Availability describes what the site returns at the time of collection.

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