OLX Jobs Scraper — 7 countries (PL, RO, PT, UA, UZ, BG, KZ)

What does OLX Jobs Scraper do?

OLX Jobs Scraper extracts structured job data from 7 OLX country sites: olx.pl, olx.ro, olx.pt, olx.ua, olx.uz, olx.bg, and olx.kz. Pick the country via the country input. City names work in local Cyrillic (Київ, София, Алматы) or Latin transliteration (Kyiv, Sofia, Almaty). Outputs include salary data, contact details, company metadata, full descriptions, remote-work indicators, and location data. The actor supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ♻️ 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.
• 🌎 7-market coverage — pick country at run start across 7 OLX sites: Poland (olx.pl), Romania (olx.ro), Portugal (olx.pt), Ukraine (olx.ua), Uzbekistan (olx.uz), Bulgaria (olx.bg), and Kazakhstan (olx.kz). City names accepted in local Cyrillic or Latin transliteration.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Olx jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any OLX URL straight from your browser — works for all 7 supported country sites (olx.pl/ro/pt/ua/uz/bg/kz). Single-listing pages, search-results URLs, or category SEO URLs. Mix freely with query keywords and post-fetch filters.
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 📦 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 OLX?

Each result includes Core listing fields (jobId, olxId, title, portalUrl, externalUrl, datePosted, lastRefreshedAt, and pushedAt, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and descriptionLength), contact information (contactPhoneAvailable, contactChatEnabled, extractedEmails, and extractedPhones), and company metadata (companyId, companyName, companyLegalName, 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, company metadata, and contact information 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:

• country — OLX country site to scrape. (default: "PL")
• query — Keyword(s) (e.g. "developer", "programista", "vânzător"). Use JSON array ["q1", "q2"] to iterate multiple keywords. Leave empty to browse all postings in the chosen category.
• startUrls — Paste country-specific OLX job search URLs (e.g. olx.pl/praca/..., olx.ro/locuri-de-munca/..., olx.ua/uk/rabota/...). Each URL becomes its own task; results merged + deduped across all URLs. (default: [])
• categoryId — OLX category ID. PL/RO use parent ID 4, PT uses 190; UA/UZ/BG/KZ have fragmented taxonomy with multiple jobs subcategory IDs (the actor fans out across them automatically). Use JSON array to iterate multiple. Subcategory IDs (e.g. 2515 = IT on olx.pl) extend coverage beyond the 1000-offer cap per category. Leave empty for the country's default jobs scope.
• cityId — OLX numeric city ID (e.g. 17871=Warszawa, 1=Bucuresti, 268=Київ, 4=Toshkent, 8771=София, 1=Алматы). Trump card — when set, cityName, lat/lon, and country are ignored. City IDs are country-scoped — pair with the matching country. Most users should leave this empty and use cityName instead.
• cityName — City name in local script or Latin (e.g. "Warszawa", "Bucuresti", "Київ" / "Kyiv", "Toshkent", "София" / "Sofia", "Алматы" / "Almaty"). Resolved to OLX city ID via the chosen country's dictionary. Country-aware transliteration handles Cyrillic (Ukrainian National 2010, Bulgarian Streamlined 2009, Russian + Kazakh for KZ). Ignored if cityId is set.
• lat — GPS latitude. Pair with lon. Ignored if cityId or cityName is set. Resolved to nearest known OLX city by GPS-bbox or distance tiers (5/20/50km).
• lon — GPS longitude. Pair with lat.
• radiusKm — Search radius in kilometers around the resolved city. 0–500. OLX-native unit. Mutually exclusive with radiusMiles.
• radiusMiles — Search radius in miles. Converted to OLX km internally. Mutually exclusive with radiusKm.
• allowLowConfidence — When true, accept fuzzy-match or GPS-within-50km city resolutions instead of failing. Default false (fail loudly to prevent silent wrong-city results). (default: false)
• compactKeepResolvedLocation — By default, compact mode omits resolvedLocation. Set true to keep it for audit even in compact output. (default: false)
• ...and 31 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.

{
  "query": "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.

{
  "query": "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.

{
  "query": "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

{
  "jobId": "2cf1babfbde743d31f7ee9ad85972264281d49c0c055baf28e967cb6e3a54579",
  "olxId": 1060172890,
  "title": "Kelner do restauracji włoskiej Trattorii Prima Pasta na Placu Wilsona",
  "portalUrl": "https://www.olx.pl/oferta/praca/kelner-do-restauracji-wloskiej-trattorii-prima-pasta-na-placu-wilsona-CID4-ID19KnoK.html",
  "externalUrl": null,
  "description": "Witaj!NA POCZĄTEK TROCHĘ O NAS:ITALIAN COCKTAIL BAR by Trattoria Prima Pasta na Żoliborzu, to miejsce gdzie oprócz wysokiej jakości dań serwujemy zarówno cocktaile autorskie jak i w stylu klasycznym z...",
  "descriptionText": "Witaj!NA POCZĄTEK TROCHĘ O NAS:ITALIAN COCKTAIL BAR by Trattoria Prima Pasta na Żoliborzu, to miejsce gdzie oprócz wysokiej jakości dań serwujemy zarówno cocktaile autorskie jak i w stylu klasycznym z...",
  "descriptionHtml": "<p>Witaj!</p><p><strong>NA POCZĄTEK TROCHĘ O NAS:</strong></p><p><strong>ITALIAN COCKTAIL BAR</strong> by <strong>Trattoria Prima Pasta</strong> na Żoliborzu, to miejsce gdzie oprócz wysokiej jakości...",
  "descriptionMarkdown": "Witaj!\n\n**NA POCZĄTEK TROCHĘ O NAS:**\n\n**ITALIAN COCKTAIL BAR** by **Trattoria Prima Pasta** na Żoliborzu, to miejsce gdzie oprócz wysokiej jakości dań serwujemy zarówno cocktaile autorskie jak i w st...",
  "descriptionLength": 1542,
  "datePosted": "2026-03-12T00:17:37+01:00",
  "lastRefreshedAt": "2026-05-19T23:26:27+02:00",
  "pushedAt": "2026-05-19T23:26:27+02:00",
  "expiresAt": "2026-06-12T23:26:26+02:00",
  "categoryId": 1811,
  "categoryType": "job",
  "locationCity": "Warszawa",
  "locationCityId": 17871,
  "locationRegion": "Mazowieckie",
  "locationRegionId": 2,
  "latitude": 52.26735,
  "longitude": 20.98132,
  "isBusinessAccount": true,
  "listingStatus": "active",
  "offerType": "offer",
  "isFeatured": true,
  "isUrgent": false,
  "isTopAd": true,
  "promotionOptions": [
    "bundle_optimum"
  ],
  "contactPhoneAvailable": true,
  "contactChatEnabled": true,
  "companyId": 24142373,
  "companyName": "Trattoria Prima Pasta",
  "companyLegalName": null,
  "companyLogo": "https://img-resizer.prd.01.eu-west-1.eu.olx.org/img-eu-olxpl-production/757718701_1_261x203_rev011.jpg",
  "companyBannerUrl": "https://img-resizer.prd.01.eu-west-1.eu.olx.org/img-eu-olxpl-production/757718701_1_0x0_rev011.jpg",
  "companyAbout": null,
  "companyJoinedAt": "2014-07-27T18:21:09+02:00",
  "companyLastSeenAt": "2026-05-13T23:23:01+02:00",
  "companyIsB2C": false,
  "partnerSource": null,
  "contractType": [
    "Umowa zlecenie"
  ],
  "workHours": "Pełny etat",
  "experienceLevel": "exp_yes",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "salaryGross": null,
  "salaryArranged": null,
  "salaryVisible": null,
  "workplaceMode": [
    "on_site"
  ],
  "isManagerRole": false,
  "isSeniorFriendly": false,
  "isRemoteRecruitment": false,
  "availabilityHours": [
    "Elastyczny czas pracy, Praca zmianowa, Praca w weekendy"
  ],
  "specialRequirements": [
    "Książeczka sanepidowska, Status studenta"
  ],
  "isUkrainianFriendly": null,
  "countryJob": null,
  "remunerationSystem": null,
  "requiredPermissions": [],
  "transportRange": null,
  "companyCar": null,
  "industry": null,
  "drivingLicense": null,
  "extractedEmails": [],
  "extractedPhones": [],
  "extractedUrls": [],
  "socialProfiles": {
    "linkedin": null,
    "twitter": null,
    "instagram": null,
    "facebook": null,
    "youtube": null,
    "tiktok": null,
    "github": null,
    "xing": null,
    "bluesky": null,
    "threads": null,
    "mastodon": null
  },
  "changeType": null,
  "firstSeenAt": null,
  "lastSeenAt": null,
  "previousSeenAt": null,
  "expiredAt": null,
  "isRepost": null,
  "repostOfId": null,
  "repostDetectedAt": null,
  "resolvedLocation": {
    "cityId": 17871,
    "cityName": "Warszawa",
    "confidence": 0.95,
    "method": "exact_name_country",
    "warning": null,
    "dictVersion": "1.0.0"
  },
  "searchQuery": "",
  "scrapedAt": "2026-05-20T12:42:42.757Z",
  "source": "olx.pl",
  "contentQuality": "full",
  "detailFetched": false
}

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 OLX

1. Go to OLX Jobs 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, contact info, 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 OLX 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.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• 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 OLX?

OLX Jobs 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: $0.0015 per job record

Example costs:

• 10 results: $0.02
• 25 results: $0.04
• 100 results: $0.15
• 200 results: $0.3
• 500 results: $0.76

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: 200 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	$0.30	$0.02	$0.28 (93%)	$0.60
15% — moderate broad query	$0.30	$0.05	$0.26 (84%)	$1.50
30% — high-volume aggregator	$0.30	$0.10	$0.21 (69%)	$2.85

Full re-scrape monthly cost at daily polling: $9.15. First month with incremental costs $0.89 / $1.75 / $3.06 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 OLX?

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

Does OLX Jobs 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 OLX Jobs Scraper with other apps?

Yes. OLX Jobs 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 OLX Jobs 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 OLX Jobs 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 OLX?

This actor extracts publicly available data from OLX. 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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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

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