Robota.ua CV/Resume Database Scraper

What does Robota.ua CV/Resume Database Scraper do?

Robota.ua CV/Resume Database Scraper extracts structured job data from robota.ua — including salary data, contact details, full descriptions, and skill tags. It supports controllable result limits, so you can run the same query consistently over time.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from robota.ua?

Each result includes Core listing fields (resumeId, userId, firstName, patronymic, age, birthDate, sex, and photoUrl, and more), detail fields when enrichment is enabled (detailFetched), and contact and apply information (hasPhone). 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.

Input

The main inputs are a result limit. Additional filters and options are available in the input schema.

Key parameters:

• keywords — Free-text search across CV fields (speciality, skills, experience descriptions). Leave empty to browse all CVs.
• cityId — Filter by candidate's city. 0 = all cities. Common IDs: 1=Kyiv, 2=Lviv, 3=Odesa, 4=Dnipro, 6=Donetsk, 9=Zaporizhzhia, 21=Kharkiv. Full list: GET https://api.robota.ua/dictionary/city (default: 0)
• rubricIds — Filter by industry rubrics from /values/rubrics. Example: [1] = IT. (default: [])
• branchIds — Filter by business branch from /dictionary/branch. (default: [])
• scheduleIds — Work schedule filter. 1=full-time, 2=part-time, 3=shift, 4=internship, 5=remote. (default: [])
• experienceIds — 0=no experience, 1=up to 1yr, 2=1-2yr, 3=2-5yr, 4=5-10yr, 5=10+yr. (default: [])
• educationIds — Education filter from /dictionary/education. (default: [])
• languages — Language requirements from /values/languagelist. 1=English, 4=German, etc. (default: [])
• ageFrom — Filter candidates at or above this age.
• ageTo — Filter candidates at or below this age.
• sex — Gender filter. (default: "Any")
• salaryFrom — Minimum salary expectation (in selected currency).
• ...and 25 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "keywords": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "keywords": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "keywords": "software engineer",
  "maxResults": 50,
  "compact": true
}

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

{
  "resumeId": 21762019,
  "userId": 14433620,
  "sourceUrl": "https://robota.ua/ua/cv/21762019",
  "source": "robota.ua",
  "firstName": "Ірина",
  "patronymic": null,
  "age": null,
  "birthDate": "0001-01-01T00:00:00",
  "sex": 0,
  "photoUrl": "https://images.cf-rabota.com.ua/2017/04/non-photo.png",
  "cityId": 90,
  "cityName": "Павлоград",
  "districtIds": [],
  "relocationCityIds": [],
  "speciality": "Фармацевт",
  "salaryExpected": 0,
  "salaryCurrency": "грн.",
  "salaryDisplay": "0 грн.",
  "scheduleIds": [
    1
  ],
  "scheduleNames": [
    "повна зайнятість"
  ],
  "branchIds": [],
  "branchNames": [],
  "rubrics": [
    {
      "id": 76,
      "name": null
    }
  ],
  "experienceSummary": [
    {
      "company": "Безробітня",
      "position": "Аптека Вітамінка",
      "startDate": "бер 2022",
      "endDate": "кві 2022",
      "datesDiff": "1 міс",
      "beginWork": "2022-03-31T21:00:00+03:00",
      "finishWork": "2022-04-26T21:00:00+03:00"
    }
  ],
  "experiences": [
    {
      "position": "Аптека Вітамінка",
      "company": "Безробітня",
      "companySite": null,
      "branchId": 0,
      "branchName": null,
      "description": null,
      "descriptionHtml": "",
      "startDate": "2022-03-31T00:00:00",
      "endDate": "2022-04-26T00:00:00",
      "period": "1 {0}"
    }
  ]
}

Incremental fields

When incremental: true, 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.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• 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 robota.ua

1. Go to Robota.ua CV/Resume Database Scraper in Apify Console.
2. Configure the input.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from robota.ua for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape robota.ua?

Robota.ua CV/Resume Database 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: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings 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	$0.51	$0.04	$0.47 (93%)	$1.05
15% — moderate broad query	$0.51	$0.08	$0.43 (83%)	$2.55
30% — high-volume aggregator	$0.51	$0.16	$0.35 (69%)	$4.80

Full re-scrape monthly cost at daily polling: $15.30. First month with incremental costs $1.53 / $2.97 / $5.15 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from robota.ua?

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

Does Robota.ua CV/Resume Database Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings 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 Robota.ua CV/Resume Database Scraper with other apps?

Yes. Robota.ua CV/Resume Database 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 Robota.ua CV/Resume Database 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 Robota.ua CV/Resume Database Scraper through an MCP Server?

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

Is it legal to scrape robota.ua?

This actor extracts publicly available data from robota.ua. 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.