DOU Job Scraper — Ukraine IT Vacancies

What does DOU Job Scraper do?

DOU Job Scraper extracts structured job data from jobs.dou.ua — including salary data, apply URLs, company metadata, full descriptions, and remote-work indicators. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🗂️ Filter by category, city, experience & keyword — filter by DOU category (Python, QA, DevOps, Java, JavaScript, .NET, iOS, Android, PM, HR, Design…), city, years of experience, and free-text keyword — combine any of them in a single run.
• 💸 Structured salary data — parsed minimum, maximum, and currency for every vacancy whose employer publishes a range — not just the raw text.
• 🏠 Remote-only filter & flag — filter to remote-only vacancies, or get a remote/on-site flag plus city and posting date on every result.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Jobs jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any jobs.dou.ua URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from DOU?

Each result includes Core job fields (jobId, jobKey, title, location, cities, isRemote, category, and snippet, and more), detail fields when enrichment is enabled (description, descriptionMarkdown, descriptionLength, and detailFetched), apply information (applyUrl), and company metadata (company, companyUrl, companySlug, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• category — DOU category to scrape, e.g. "Python", "QA", "DevOps", "Java", "JavaScript", ".NET", "iOS", "Android", "Project Manager", "HR", "Design". Use a JSON array for multiple categories.
• query — Free-text keyword to match in the title/description (DOU "search"). Use a JSON array for multiple keywords. Leave empty to return the whole category.
• location — City to filter by, e.g. "Київ", "Львів", "Харків", "Одеса", "Дніпро". Use a JSON array for multiple cities. Leave empty for all cities (incl. remote).
• experience — Filter by required years of experience. (default: "")
• remote — Return only remote (work-from-home) vacancies. (default: false)
• startUrls — Direct DOU listing URLs (filters are read from the query string) or individual vacancy URLs.
• maxResults — Maximum total job listings to return (0 = unlimited). (default: 100)
• maxPages — Maximum listing pages to scrape per search source (each page ≈ 40 vacancies). (default: 10)
• maxDaysOld — Only return vacancies posted within this many days. 0 = no limit. (default: 0)
• includeDetails — Fetch each vacancy's detail page for the full description, company info, and apply link. (default: true)
• descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
• descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
• ...and 20 more parameters

Input examples

Search by keyword — Match a free-text keyword across job titles and descriptions.

→ Job records with title, company, salary, city, remote flag, posting date, and full description.

{
  "query": "Python developer",
  "maxResults": 100
}

Scrape a category, remote only — Pull every vacancy in a DOU category, restricted to remote roles.

→ Remote job records with parsed salary (min/max/currency), company profile, and apply link.

{
  "category": "DevOps",
  "remote": true,
  "maxResults": 200
}

Paste DOU URLs — Build the search you want on jobs.dou.ua, copy the results URL (or a single vacancy URL), and paste it here. Add several to run them in one job.

→ Every pasted listing is paginated and merged into one dataset, deduplicated by vacancy ID.

{
  "startUrls": [
    "https://jobs.dou.ua/vacancies/?category=Java&city=%D0%9A%D0%B8%D1%97%D0%B2",
    "https://jobs.dou.ua/vacancies/?category=QA&exp=3-5"
  ],
  "maxResults": 300
}

Daily new-jobs monitor — Re-run on a schedule to capture only new and changed vacancies since the previous run.

→ Records tagged NEW / UPDATED / REAPPEARED against prior state; pair with notifications for alerts.

{
  "category": "Python",
  "incrementalMode": true,
  "maxResults": 500
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "sha256(...)",
  "jobKey": "332591",
  "title": "Senior Software Engineer (Python)",
  "company": "HealthJoy",
  "companyUrl": "https://jobs.dou.ua/companies/health-joy/vacancies/",
  "companySlug": "health-joy",
  "companyLogo": "https://s.dou.ua/CACHE/images/img/static/companies/Logo_NrNGcgm/330340c1fecf43c3b71675857b17d2bc.png",
  "location": "віддалено",
  "cities": [
    "віддалено"
  ],
  "isRemote": true,
  "category": "Python",
  "snippet": "Come for the mission. Stay to build Jarvis for healthcare. Healthcare benefits are messy for everyone: members, employers, even clinicians. At HealthJoy, we turn that mess into clear next steps.",
  "description": "Come for the mission. Stay to build Jarvis for healthcare.Healthcare benefits are messy for everyone: members, employers, even clinicians. At HealthJoy, we turn that mess into clear next steps. Our st...",
  "descriptionMarkdown": "### Come for the mission. Stay to build Jarvis for healthcare.\n\nHealthcare benefits are messy for everyone: members, employers, even clinicians. At HealthJoy, we turn that mess into clear next steps....",
  "descriptionLength": 5116,
  "salaryText": "$5000–8000",
  "salaryMin": 5000,
  "salaryMax": 8000,
  "salaryCurrency": "USD",
  "postedAt": "2026-07-14",
  "canonicalUrl": "https://jobs.dou.ua/companies/health-joy/vacancies/332591/",
  "applyUrl": "https://dou.ua/goto/vacancy/?id=332591",
  "sourceUrl": "https://jobs.dou.ua/companies/health-joy/vacancies/332591/",
  "sourceCountry": "UA",
  "sourceDomain": "jobs.dou.ua",
  "isSponsored": true,
  "detailFetched": true,
  "contentQuality": "full",
  "companyDescription": "Let’s keep things simple: we are a US and UA-based unbelievably talented, hard-working, and compassionate team driving toward a mission that impacts US citizens! Healthcare benefits are complex, under...",
  "changeType": "NEW"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape DOU

1. Go to DOU Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from DOU for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape DOU?

DOU Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.001 per job record

Example costs:

• 10 results: $0.015
• 25 results: $0.03
• 100 results: $0.11
• 200 results: $0.21
• 500 results: $0.51

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.26	$0.02	$0.24 (93%)	$0.53
15% — moderate broad query	$0.26	$0.04	$0.21 (83%)	$1.27
30% — high-volume aggregator	$0.26	$0.08	$0.17 (69%)	$2.40

Full re-scrape monthly cost at daily polling: $7.65. First month with incremental costs $0.76 / $1.49 / $2.57 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from DOU?

The number of results depends on the search query and available jobs on DOU. Use the maxResults parameter to control how many results are returned per run.

Does DOU Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate DOU Job Scraper with other apps?

Yes. DOU Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use DOU Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use DOU Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape DOU?

This actor extracts publicly available data from DOU. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.